From dengdehao at gmail.com Sun Nov 1 00:18:02 2015 From: dengdehao at gmail.com (Teng Teck Hou) Date: Sun, 1 Nov 2015 12:18:02 +0800 Subject: Connectionists: [INNS-BigData 2016] Call for Papers Message-ID: <002a01d1145c$4e243ec0$ea6cbc40$@gmail.com> [Apologies for cross-postings] ########################################################### CALL FOR PAPERS The 2nd INNS Conference on Big Data 2016 October 23-25, 2016, Thessaloniki, Greece http://conferences.cwa.gr/inns-big-data2016/ ########################################################### Big data is not just about storage of and access to data. Analytics play a big role in making sense of that data and exploiting its value. But learning from big data has become a significant challenge and requires development of new types of algorithms. Most machine learning algorithms can't easily scale up to big data. Plus there are challenges of high-dimensionality, velocity and variety. The neural network field has historically focused on algorithms that learn in an online, incremental mode without requiring in-memory access to huge amounts of data. This type of learning is not only ideal for streaming data (as in the Industrial Internet or the Internet of Things), but could also be used on stored big data. Neural network technologies thus can become significant components of big data analytics platforms and this inaugural INNS Conference on Big Data will begin that collaborative adventure with big data and other learning technologies. Thus the aim of this conference is to promote new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms), implementations on different computing platforms (e.g. neuromorphic, GPUs, clouds, clusters) and applications of Big Data Analytics to solve real-world problems (e.g. weather prediction, transportation, energy management). #################### Important dates ##################### - Tutorial and workshops proposals: February 15th, 2016 - Notification of tutorial and workshops proposals: February 20th, 2016 - Paper submission: April 30th, 2016 - Notification of paper acceptance: May 30th, 2016 - Camera-ready submission (AISC): June 11th, 2016 - Early registration: June 20th, 2016 Registration deadline: papers without confirmed registration by June 24th 2016 risk their inclusion in the proceedings ########################################################## #################### Invited speakers #################### - Piotr Mirowski, Google Deep Mind, London, UK - Francesco Bonchi, ISI Foundation, Torino, Italy ########################################################## #################### Organizing committees ############### General Chairs - Plamen Angelov, Lancaster University, UK - Yannis Manolopoulos, Aristotle University of Thessaloniki, Greece Program Chairs - Lazaros Iliadis, Democritus University of Thrace, Greece - Asim Roy, Arizona State University, Tempe USA - Marley Vellasco, PUC-Rio, Rio de Janeiro, Brazil Advisory Chairs - Nikola Kasabov, Auckland University of Technology, New Zealand - Ali Minai, University of Cincinnati, USA - Danil Prokhorov, Toyota Tech Center, Michigan, USA - Theodore Trafalis University of Oklahoma, USA - G. Kumar Venayagamoorthy, Clemson University, USA Tutorials/Workshop Chairs - Bernardete Ribeiro, Portugal - Apostolos Papadopoulos, Aristotle University of Thessaloniki, Greece Poster Session Chairs - Yi Lu Murphey, University of Michigan-Dearborn, USA Special Sessions Chairs - Luca Oneto, University of Genoa, Italy - Irwin King, Chinese University of Hong Kong, China Panel Chairs - Leonid Perlovsky, Harvard University, Boston, USA Competitions Chairs - Adel Alimi, University of Sfax, Tunisia Publication Chairs - Mariette Awad, American University of Beirut, Lebanon - Danilo Mandic, Imperial College, London, UK Publicity Chairs - Simone Scardapane, The Sapienza University of Rome, Italy - Jose Antonio Iglesias, Carlos III University of Madrid, Spain - Teng Teck Hou, Singapore Management University, Singapore International Liaison Chairs - De-Shuang Huang, Tongji University, Shanghai, China - Petia Georgieva, University of Aveiro, Portugal Local Organizing Committee: - Anastasios Gounaris, Aristotle University of Thessaloniki, Greece WebMaster - Yannis Karydis, Ionian University, Greece ########################################################## ############# Paper Submission and Publication ########### * Original works submitted as a regular paper limited to a maximum of 14 pages in Springer format will be published in the proceedings to be available electronically as a Springer book in ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING Series, to download for delegates. * It will be peer-reviewed by at least three PC members on the basis of technical quality, relevance, originality, significance and clarity. * At least one author of an accepted submission to the conference should register with a regular fee to present their work at the conference. ########################################################## #################### Awards ############################## * Best papers will be selected and awarded as follows: - Best regular paper - Best student paper * This will be based on a combination of reviewers' comments, presentations and importance and quality judged by a panel. * Best paper awards (500 Euros) are donated by the sponsor Springer Verlag, Germany and will be commemorated by a certificate. ########################################################## ###### Topics and Areas include, but not limited to ###### * Autonomous, online, incremental learning - theory, algorithms and applications in big data * High dimensional data, feature selection, feature transformation - theory, algorithms and applications for big data * Scalable algorithms for big data * Learning algorithms for high-velocity streaming data * Big data streams analytics * Deep neural network learning * Machine vision and big data * Brain-machine interfaces and big data * Cognitive modeling and big data * Embodied robotics and big data * Fuzzy systems and big data * Evolutionary systems and big data * Evolving systems for big data analytics * Neuromorphic hardware for scalable machine learning * Parallel and distributed computing for big data analytics (cloud, map-reduce, etc.) * Big data and collective intelligence/collaborative learning * Big data and hybrid systems * Big data and self-aware systems * Big Data and infrastructure * Big data analytics and healthcare/medical applications * Big data analytics and energy systems/smart grids * Big data analytics and transportation systems * Big data analytics in large sensor networks * Big data and machine learning in computational biology, bioinformatics * Recommendation systems/collaborative filtering for big data * Big data visualization * Online multimedia/ stream/ text analytics * Link and graph mining * Big data and cloud computing, large scale stream processing on the cloud ########################################################## #################### Co-Sponsors ######################### * International Neural Network Society (INNS) * Springer ########################################################## -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Sun Nov 1 11:40:55 2015 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Sun, 1 Nov 2015 11:40:55 -0500 Subject: Connectionists: NEURAL NETWORKS, Nov. 2015 Message-ID: <56364097.3020103@cse.ohio-state.edu> Neural Networks - Volume 71, Nov. 2015 http://www.journals.elsevier.com/neural-networks Cost-efficient FPGA implementation of basal ganglia and their Parkinsonian analysis Shuangming Yang, Jiang Wang, Shunan Li, Bin Deng, Xile Wei, Haitao Yu, Huiyan Li A new computational account of cognitive control over reinforcement-based decision-making: Modeling of a probabilistic learning task Sareh Zendehrouh Long-range cortical connections give rise to a robust velocity map of V1 Phillip Sheridan Towards dropout training for convolutional neural networks Haibing Wu, Xiaodong Gu A novel multivariate performance optimization method based on sparse coding and hyper-predictor learning Jiachen Yang, Zhiyong Ding, Fei Guo, Huogen Wang, Nick Hughes Incremental multi-class semi-supervised clustering regularized by Kalman filtering Siamak Mehrkanoon, Oscar Mauricio Agudelo, Johan A.K. Suykens Reinforcement learning solution for HJB equation arising in constrained optimal control problem Biao Luo, Huai-Ning Wu, Tingwen Huang, Derong Liu Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality Alessandro Montalto, Sebastiano Stramaglia, Luca Faes, Giovanni Tessitore, Roberto Prevete, Daniele Marinazzo Prediction of telephone calls load using Echo State Network with exogenous variables Filippo Maria Bianchi, Simone Scardapane, Aurelio Uncini, Antonello Rizzi, Alireza Sadeghian Budget constrained non-monotonic feature selection Haiqin Yang, Zenglin Xu, Michael R. Lyu, Irwin King Multistability of memristive Cohen-Grossberg neural networks with non-monotonic piecewise linear activation functions and time-varying delays Xiaobing Nie, Wei Xing Zheng, Jinde Cao Stability and synchronization of memristor-based fractional-order delayed neural networks Liping Chen, Ranchao Wu, Jinde Cao, Jia-Bao Liu Novel conditions on exponential stability of a class of delayed neural networks with state-dependent switching Guodong Zhang, Yi Shen OCReP: An Optimally Conditioned Regularization for pseudoinversion based neural training Rossella Cancelliere, Mario Gai, Patrick Gallinari, Luca Rubini Synchronization of neural networks with stochastic perturbation via aperiodically intermittent control Wei Zhang, Chuandong Li, Tingwen Huang, Mingqing Xiao Investigation on Amari's dynamical neural field with global constant inhibition Dequan Jin, Jigen Peng Consensus analysis of networks with time-varying topology and event-triggered diffusions Yujuan Han, Wenlian Lu, Tianping Chen Complex Rotation Quantum Dynamic Neural Networks (CRQDNN) using Complex Quantum Neuron (CQN): Applications to time series prediction Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification Sankho Turjo Sarkar, Amol P. Bhondekar, Martin Macas, Ritesh Kumar, Rishemjit Kaur, Anupma Sharma, Ashu Gulati, Amod Kumar Fuzzy wavelet plus a quantum neural network as a design base for power system stability enhancement Soheil Ganjefar, Morteza Tofighi, Hamidreza Karami From mccallum at cs.umass.edu Mon Nov 2 09:57:56 2015 From: mccallum at cs.umass.edu (Andrew McCallum) Date: Mon, 2 Nov 2015 09:57:56 -0500 Subject: Connectionists: Faculty positions at UMass Amherst: junior & senior openings in data science Message-ID: <834274E8-D84D-45AE-9F5C-E63D93A5931E@cs.umass.edu> UMass Amherst Computer Science is hiring in data science broadly this year and for multiple years to come---at both the junior and senior levels. 3+ openings in data science this year; 12+ openings over the coming several year; (there are additional openings in other areas this year, as well). I am chairing faculty recruiting. I would be happy to receive email from anyone interested and to answer further questions. https://www.cics.umass.edu/job/assistant-associate-professor-positions Review of applications will begin on November 30, 2015, and will continue until the positions are filled. Please forward this message to anyone who might be interested. Best, Andrew Professor; Director, Center for Data Science College of Information and Computer Sciences UMass Amherst =============================================================== data science, broadly: machine learning & decision-making, broadly systems & scalable data management, broadly theory & algorithms for big data, broadly ...non-exclusive list of examples: theory & algorithms for big data artificial intelligence with big data databases decision processes and reinforcement learning deep learning distributed systems game theory, mechanism design learning theory optimization parallel-distributed machine learning probabilistic programming scalable probabilistic inference statistical machine learning visualization and data exploration crowd sourcing and human computation images & video information integration natural language processing sensor networks and wearable sensors social networks and computational social science climate, ecology and sustainability computational economics computational biology & bio-medicine education eGovernment energy eScience finance health analytics internet of things manufacturing cities & regions =============================================================== Our Department has become a College and we are dramatically growing our current set of ~40 faculty. UMass CS is highly ranked in AI, exceptionally collaborative, and has long-standing broad interests touching many areas of data science. Selected current faculty include: * Akshay Krishnamurthy (statistical machine learning) * Arya Mazumdar (information theory) * Joydeep Biswas (robotics) * Subhransu Maji (computer vision & ML) * Brendan O'Connor (NLP and computational social science) * Barna Saha (algorithms & data management) * Alexandra Meliou (databases, analytics & causality) * Yuriy Brun (software engineering & analytics) * Dan Sheldon (computational ecology & ML) * Evangelos Kalogerakis (graphics & ML) * Ben Marlin (graphical models, ML, health analytics) * Hanna Wallach (computational social science & ML) * Deepak Ganesan (sensor and mobile networks, wearable health) * Yanlei Diao (databases) * Gerome Miklau (databases & privacy) * Andrew McGregor (algorithms) * Rui Wang (graphics) * Erik Learned-Miller (computer vision & ML) * David Jensen (data mining & causality) * Andrew McCallum (information extraction & ML) * Brian Levine (security) * Sridhar Mahadevan (ML, RL & manifolds) * Prashant Shenoy (distributed systems, cloud computing) * Ramesh Sitaraman (theory & parallel/distributed systems) * Shlomo Zilberstein (AI) * James Allan (information retrieval) * Beverly Woolf (intelligent tutoring systems) * Rod Grupen (robotics) * Jim Kurose (networking, on leave as head of NSF CISE) * Neil Immerman (complexity theory) * Bruce Croft (information retrieval) * Don Towsley (networking) =============================================================== The College of Information and Computer Sciences at the University of Massachusetts Amherst invites applications for multiple tenure-track faculty positions in computer science for the 2016-2017 academic year. Applicants must have a Ph.D. in Computer Science or a related area, and should show evidence of exceptional research promise. Subareas of interest include 1) Security and Privacy and 2) Data Science. We are seeking talented applicants at both the assistant and associate professor levels. Under exceptional circumstances, highly qualified candidates at other ranks may receive consideration. In a separately advertised search, we are also hiring in the area of wearable and mobile health sensing. Computer Science at the University of Massachusetts Amherst is in the midst of a major expansion of its highly ranked program. Recent initiatives include its elevation to a College, creation of the Center for Data Science, and formation of the Cybersecurity Institute. Our college is highly supportive of junior faculty, providing both formal and informal mentoring. Many of our faculty are involved in interdisciplinary research, working closely with other departments including statistics/mathematics, linguistics, electrical and industrial engineering, biology, physics, behavioral sciences, economics, political science, and nursing, as well as new "green" initiatives. Amherst, a historic New England town, is the center of a vibrant and culturally rich area that includes four other colleges. For more information, visit https://cics.umass.edu. Applicants should submit a cover letter, a curriculum vita, research statement, statement of teaching interests, and the names and contact information for three references, using the submission link specific to the position. https://umass.interviewexchange.com/jobofferdetails.jsp?JOBID=64843 (Security and Privacy) https://umass.interviewexchange.com/jobofferdetails.jsp?JOBID=64842 (Data Science) Review of applications will begin on November 30, 2015 and may continue until a suitable candidate pool has been identified. Rank and salary will be commensurate with qualifications and experience. Inquiries and requests for more information can be sent to: facrec at cs.umass.edu. The university is committed to active recruitment of a diverse faculty and student body. The University of Massachusetts Amherst is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans, and individuals with disabilities and encourages applications from these and other protected group members. Because broad diversity is essential to an inclusive climate and critical to the University's goals of achieving excellence in all areas, we will holistically assess the many qualifications of each applicant and favorably consider an individual's record working with students and colleagues with broadly diverse perspectives, experiences, and backgrounds in educational, research or other work activities. We will also favorably consider experience overcoming or helping others overcome barriers to an academic degree and career. -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Tue Nov 3 11:39:26 2015 From: terry at salk.edu (Terry Sejnowski) Date: Tue, 03 Nov 2015 08:39:26 -0800 Subject: Connectionists: UCSD Computational Neuroscience Graduate Program In-Reply-To: Message-ID: UCSD GRADUATE PROGRAM IN COMPUTATIONAL NEUROSCIENCE http://healthsciences.ucsd.edu/education/neurograd/computational/pages/default.aspx Application deadline: December 1, 2015 (Fall 2016) http://neurograd.ucsd.edu/2page.php?id=gradadm ***** The goal of the Computational Neuroscience Specialization in the Neurosciences Graduate Program at UCSD is to train researchers who are equally at home measuring large-scale brain activity, analyzing the data with advanced computational techniques, and developing new models for brain development and function. Candidates from a wide range of backgrounds are invited to apply, including Biology, Psychology, Computer Science, Physics and Mathematics. The three major themes in the training program are: 1. Neurobiology of Neural Systems: Anatomy, physiology and behavior of systems of neurons. Using modern neuroanatomical, behavioral, neuropharmacological and electrophysiological techniques. Lectures, wet laboratories and computer simulations, as well as research rotations. Major new imaging and recording techniques also will be taught, including two-photon laser scanning microscopy and functional magnetic resonance imaging (fMRI). 2. Algorithms and Realizations for the Analysis of Neuronal Data: New algorithms and techniques for analyzing data obtained from physiological recording, with an emphasis on recordings from large populations of neurons with imaging and multielectrode recording techniques. New methods for the study of co-ordinated activity, such as multi-taper spectral analysis and Delay Differential Analysis (DDA). 3. Neuroinformatics, Dynamics and Control of Systems of Neurons: Theoretical aspects of single cell function and emergent properties as many neurons interact among themselves and react to sensory inputs. A synthesis of approaches from mathematics and physical sciences as well as biology will be used to explore the collective properties and nonlinear dynamics of neuronal systems, as well as issues of sensory coding and motor control. ***** Participating Faculty include: * Henry Abarbanel (Physics): Nonlinear and oscillatory dynamics; modeling central pattern generators in the lobster stomatogastric ganglion. * Thomas Albright (Salk Institute): Motion processing in primate visual cortex; linking single neurons to perception; fMRI in awake, behaving monkeys. Director, Sloan Center for Theoretical Neurobiology * Darwin Berg (Neurobiology): Regulation synaptic components, assembly and localization, function and long-term stability. * Ed Callaway (Salk Institute): Neural circuits, visual perception, visual cortex Genetic tools for tracing neural pathways. * Gert Cauwenberghs (Bioengineering): Neuromorphic Engineering; analog VLSI chips; wireless recording and nanoscale instrumentation for neural systems; large-scale cortical modeling. * Sreekanth Chalasani (Salk): C. elegans: genes, networks and behavior Optical recording of olfactory processing. * Andrea Chiba (Cognitive Science): Spatial attention, associative learning, cholinergic neuromodulaiton of behavior, amygdala recordings * EJ Chichilnisky (Salk Institute): Retinal multielectrode recording; neural coding, visual perception. * Todd Coleman (Bioengineering): Brain-Machine Interfaces (BMI) * Garrison Cottrell (Computer Science and Engineering): Dynamical neural network models and learning algorithms * Virginia De Sa (Cognitive Science): Computational basis of perception and learning; multi-sensory integration and contextual influences * Mark Ellisman (Neurosciences, School of Medicine): High resolution electron and light microscopy; anatomical reconstructions. * Fred Gage (Salk Institute): Neurogenesis and models of the hippocampus; neuronal diversity, neural stem cells. * Timothy Gentner (Psychology): Birdsong learning. Neuroethology of vocal communication and audition * Robert Hecht-Nielsen (Electrical and Computer Engineering): Neural computation and the functional organization of the cerebral cortex. * Steve Hillyard (Neurosciences): EEG, perception, attention, memory, Event related potentilas, SSVEP * Harvey Karten (Neurosciences, School of Medicine): Anatomical, physiological and computational studies of the retina and optic tectum of birds and squirrels * David Kleinfeld (Physics): Active sensation in rats; properties of neuronal assemblies; optical imaging of large-scale activity. * William Kristan (Neurobiology): Computational Neuroethology; functional and developmental studies of the leech nervous system, including studies of the bending reflex and locomotion. * Scott Makeig (Institute for Neural Computation): Analysis of cognitive event-related brain dynamics and fMRI using time-frequency and Independent Component Analysis * Javier Movellan (Institute for Neural Computation): Sensory fusion and learning algorithms for continuous stochastic systems * Saket Navlakha (Salk Institute): How collections of molecules, neurons, and organisms process information and solve distributed computing problems. * Howard Poizner (Institute for Neural Computation): Motor systems, basal ganglia, reinforcment learning, Parkinson's disease. * Mikhael Rabinovich (Institute for Nonlinear Science): Dynamical systems analysis of the stomatogastric ganglion of the lobster and the antenna lobe of insects * Pamela Reinagel (Biology): Sensory and neural coding; natural scene statistics; recordings from the visual system of cats and rodents. * John Reynolds (Salk): Visual attention, cortex, psychophysics, neurophysiology, neural modeling * Massimo Scanziani (Biology): Neural circuits in the somotosensory cortex; physiology of synaptic transmission; inhibitory mechanisms. * Terrence Sejnowski (Salk Institute/Neurobiology): Computational models and physiological studies of synaptic, neuronal and network function. * Tanya Sharpee (Salk): Statistical physics and information theory approaches to sensory processing in natural auditory and visual environments. * Gabe Silva (Bioengineering): Cellular neural engineering * Nicholas Spitzer (Neurobiology): Regulation of ionic channels and neurotransmitters in developing neurons and neural function. * Charles Stevens (Salk Institute): Synaptic physiology; theoretical models of neuroanatomical scaling. * Jing Wang (Biology): Representation of olfactory information in the nervous system of Drosophila * Ruth Williams (Mathematics): Probabilistic analysis of stochastic systems and continuous learning algorithms * Angela Yu (Cognitive Science): Sensory processing, attentional selection, perceptual decision-making, sensorimotor integration, learning, and adaptation. ----- On-line applications: http://healthsciences.ucsd.edu/education/neurograd/computational/Pages/Application.aspx https://apply.grad.ucsd.edu/departments/neurosciences The deadline for completed application materials, including letters of recommendation, is December 1, 2015 for Fall 2016 ----- From alemme at cor-lab.uni-bielefeld.de Tue Nov 3 10:03:58 2015 From: alemme at cor-lab.uni-bielefeld.de (Andre Lemme) Date: Tue, 3 Nov 2015 16:03:58 +0100 Subject: Connectionists: [journals] Special Issue on Benchmarking Reaching Motion Primitives - First Call for Papers Message-ID: <5638CCDE.2030502@cor-lab.uni-bielefeld.de> %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Paladyn. Journal of Behavioral Robotics Special Issue on Benchmarking Reaching Motion Primitives %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% * DESCRIPTION The special issue follows-up an IEEE Humanoids workshop 2013 on ?Benchmarking state-of-the-art algorithms in generating human-like robot reaching motions?, organized by M. Khansari, A. Lemme, Y. Meirovitch, B. Schrauwen, M. Giese, A. Ijspeert, A Billard and J. Steil. A respective benchmarking software framework is published and ready for use at doi:10.4119/ unibi/2678439. The software is accompanied by a baseline paper available as first publication of the special issue at doi:10.1515/pjbr-2015-0002. Additional information is provided here: http://www.amarsi-project.eu/benchmark-framework . The special issue invites to submit up to 6 pages manuscripts on relevant algorithms providing a short description of the used algorithm and discussing its performance based on results generated by the provided benchmark framework. It is the intention of the organizers to keep the special open to new methods and submission for a substantial amount of time in order to document progress in the field. The scope of the topical issue therefore is: - Benchmarking, - systematic comparisons, - imitation learning, - movement primitives, - reaching movements * EDITORS The reviewing process will be supervised by guest Editors (A. Lemme, M. Khansari, Y. Meirovitch and J. Steil), together with the editorial Board of the Paladyn Journal of Behavioral Robotics. * MANUSCRIPT SUBMISSION The authors are kindly invited to register at the paper processing system at: http://www.editorialmanager.com/paladyn/ and submit their contribution using a special track established for the topical issue. All papers will go through the Paladyn?s high standards, quick, fair and comprehensive peer-review procedure. Instructions for authors are available online at: http://www.degruyter.com/view/supplement/s20814836_Instructions_for_Authors.pdf . In case of any questions please contact Guest Editors or Managing Editor. * IMPORTANT DATES Full paper submission due: continuous until at 2016 Notification of acceptance: 4-6 weeks after the submission Revised version due: 1 month after notification of acceptance Publication: 4-6 month after submission -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.goodman at imperial.ac.uk Mon Nov 2 13:01:09 2015 From: d.goodman at imperial.ac.uk (Dan Goodman) Date: Mon, 2 Nov 2015 18:01:09 +0000 Subject: Connectionists: PhD positions in computational neuroscience In-Reply-To: <54761C52.2040801@imperial.ac.uk> References: <54761C52.2040801@imperial.ac.uk> Message-ID: <5637A4E5.2080309@imperial.ac.uk> One or more PhD positions in computational neuroscience are available in the Neural Reckoning Group of Dan Goodman at the Department of Electrical and Electronic Engineering, Imperial College London. I am interested in supervising students with a strong mathematical, computational or neuroscience background. Projects could be carried out in several possible areas, including neuroinformatics (i.e simulation and analysis of neural data) or sensory neuroscience (e.g. spiking neural models in the auditory system). For more information about the group, including some suggestions for research topics, see http://neural-reckoning.org/openings.html. In addition to working within the group, studying at Imperial College provides excellent opportunities for interacting with other theoretical and experimental researchers, both at Imperial (recently ranked 8th in the world in the QS world university rankings) and in the many neuroscience groups in London. Applicants should initially send me a brief CV and cover letter before December 18th 2015, with a description of research interests or a proposed project, and will eventually have to formally apply through the standard Imperial College mechanism (for more information, see http://www3.imperial.ac.uk/electricalengineering/courses/phd). Funding is available for at least one student, and there are several competitive funding schemes at Imperial which would provide funding for additional students. Also, please forward this message on to any of your students or colleagues with students that you think may be interested. Dan Goodman From eletankc at nus.edu.sg Mon Nov 2 10:54:14 2015 From: eletankc at nus.edu.sg (Tan Kay Chen) Date: Mon, 2 Nov 2015 15:54:14 +0000 Subject: Connectionists: Update 3: 2016 IEEE World Congress on Computational Intelligence (IEEE WCCI 2016) In-Reply-To: <5636e524.e164420a.6397e.6abc@mx.google.com> References: <5636e524.e164420a.6397e.6abc@mx.google.com> Message-ID: <4464DC16E680CC44947A7C28277E52AB04904BE7@MBX03A.stf.nus.edu.sg> Dear Colleagues, Below please find some updated information about 2016 IEEE World Congress on Computational Intelligence (IEEE WCCI 2016), which is financially sponsored by the IEEE Computational Intelligence Society (CIS), and jointly sponsored by the International Neural Network Society (INNS), the Evolutionary Programming Society (EPS), and the Institution of Engineering and Technology (IET). 2016 IEEE World Congress on Computational Intelligence Vancouver Convention Centre, Vancouver, Canada 25-29 July 2016 www.wcci2016.org -----------------------~*******~------------------------ Paper Submission Deadline: 15 January 2016 -----------------------~*******~------------------------ IEEE WCCI 2016 paper submission is now OPEN. Please submit your papers through the IEEE WCCI 2016 online paper submission system at: http://www.wcci2016.org/submission.php ------~*******~------ Tutorial Speakers ------~*******~------ * Meta-heuristics for Multi-objective Optimization - By Carlos Coello * Applying Evolutionary Computation in Industrial Practice - By Erik D. Goodman * Automatic Algorithm Configuration: Methods, Applications, and Perspectives - By Thomas St?tzle * Advances in Particle Swarm Optimization - By Andries Engelbrecht * Search Based Software Engineering: Foundations, Recent Advances, Challenges and Future Research Directions - By Marouane Kessentini * Data Stream Mining - By Leszek Rutkowski * Spiking Neural Networks: The Machine Learning Approach - By Nathan Scott and Nikola Kasabov * Learning from Unstructured Data Streams in Cybersecurity - By Seiichi Ozawa * Learning in Non-Stationary Environments - By Cesare Alippi and Manuel Roveri * Physics of the Mind - By Leonid I. Perlovsky * Passive and Active Control for a Lower-limb Rehabilitation Robot - By Zeng-Guang Hou * Big Data: Technologies and Computational Intelligence Approaches - By Isaac Triguero and Francisco Herrera * Fuzzy Logic and Machine Learning: A Tutorial - By Hamid Tizhoosh * Type-2 Fuzzy Ontology and Fuzzy Markup Language for Real-World Applications - By Chang-Shing Lee * A Sum-of-Squares Framework for Fuzzy Systems Modeling and Control: Beyond Linear Matrix Inequalities - By Kazuo Tanaka * Tutorial on Type-2 Fuzzy Sets and Systems - By Christian Wagner, Jon Garibaldi and Robert John More tutorials will be announced soon. For more information, please visit: http://wcci2016.org/programs.php?id=tutorial?sd=t_info ---~*******~--- Workshops ---~*******~--- IEEE WCCI 2016 is pleased to confirm the following Workshops: * "Computational Energy Management in Smart Grids" - Organized by Stefano Squartini, Derong Liu, Francesco Piazza, Dongbin Zhao and Haibo He * "Neuromorphic Computing and Cyborg Intelligence" - Organized by Huajin Tang, Gang Pan, Arindam Basu and Luping Shi For more information about the workshops, please visit: http://wcci2016.org/programs.php?id=workshop?sd=w_ijcnn ------~****~------ Panel Sessions ------~****~------ IEEE WCCI 2016 is pleased to confirm a Panel Session on "How to Publish Your Research Papers in IEEE CIS Transactions?" Members of the panel session include, * Derong Liu: Editor-in-Chief, IEEE Transactions on Neural Networks and Learning Systems * Chin-Teng Lin: Editor-in-Chief, IEEE Transactions on Fuzzy Systems * Kay Chen Tan: Editor-in-Chief, IEEE Transactions on Evolutionary Computation * Graham Kendall: Editor-in-Chief, IEEE Transactions on Computational Intelligence and AI in Games * Angelo Cangelosi: Editor-in-Chief, IEEE Transactions on Autonomous Mental Development * Hisao Ishibuchi: Editor-in-Chief, IEEE Computational Intelligence Magazine * Witold Pedrycz: IEEE Fellow * Nikhil R. Pal (Moderator): IEEE CIS Vice-President for Publications -------------~****~---------------- Sponsorship Opportunities -------------~****~---------------- We invite you to be a sponsor of the IEEE WCCI 2016, and thus play an essential role for the success of the flagship event of the IEEE Computational Intelligence Society in 2016. A rich scientific program that covers all the areas of computational intelligence - tutorials by leading researchers in the field, a number of specialized workshops, exhibition of products, companies and research centers - will make IEEE WCCI 2016 one of the most influential conferences in the field of computational intelligence and a key scientific and technological event in IT. There are different ways you may provide support to IEEE WCCI 2016. For further information, please contact: wcci2016 at gmail.com or visit: http://www.wcci2016.org/sponsors.php -----------~****~-------------- Exhibits Opportunities -----------~****~-------------- The IEEE WCCI 2016 cordially invites industry representatives and publishers to showcase innovative technologies in the area of computational intelligence at the IEEE WCCI 2016 and support the Congress with your active participation. The IEEE WCCI 2016 exhibits program is an opportunity for your organization to showcase its offerings to the broadest professional community of Computational Intelligence (CI) practitioners and researchers. The Congress is advertised extensively through international promotion activities that include: the Congress and other websites, electronic and printed announcement brochures, scientific and technical journals and magazines, professional and other networks. Your participation in this prestigious event will be very beneficial to the delegates attending and to bring your business focuses at an international level. For further information, please contact: wcci2016 at gmail.com or visit: http://www.wcci2016.org/sponsors.php -------------------------~*******~------------------------- Special Sessions Proposal by 15 November 2015 -------------------------~*******~------------------------- Special session proposals are invited to the IEEE WCCI 2016. The special session proposals submission deadline is 15 November 2015. Special session proposals should include the title, aim and scope (including a list of main topics), and the names of the organizers of the special session, together with a short biography of all organizers. For more information about provisionally accepted IEEE WCCI 2016 special sessions, please visit: http://www.wcci2016.org/spsessions.php --------~****~-------- Important Dates --------~****~-------- * Special Session & Workshop Proposals Deadline: 15 November 2015 * Competition & Tutorial Proposals Deadline: 15 December 2015 * Paper Submission Deadline: 15 January 2016 * Paper Acceptance Notification Date: 15 March 2016 * Final Paper Submission & Early Registration Deadline: 15 April 2016 * IEEE WCCI 2016: 25-29 July 2016 For more information on the Congress, please visit: www.wcci2016.org Alternatively we can also be reached on the following social media platforms, * https://www.facebook.com/wcci2016 * https://twitter.com/wcci2016 * http://www.weibo.com/wcci2016 * http://t.qq.com/wcci2016 We look forward to welcoming you in Vancouver next year! Best wishes, Kay Chen Tan and Gary G. Yen 2016 IEEE WCCI General Co-Chairs ________________________________ Important: This email is confidential and may be privileged. If you are not the intended recipient, please delete it and notify us immediately; you should not copy or use it for any purpose, nor disclose its contents to any other person. Thank you. -------------- next part -------------- An HTML attachment was scrubbed... URL: From frank.ritter at psu.edu Mon Nov 2 08:15:00 2015 From: frank.ritter at psu.edu (Frank Ritter) Date: Mon, 2 Nov 2015 09:15:00 -0400 Subject: Connectionists: CogModel notes: ICCM16/confs/journals/Jobs Message-ID: This is the first emailing for ICCM 2016. Please forward if appropriate, and put appropriate links onto your web site. The ICCM 2016 announcement drives this email (it will be at Penn State, before CogSci, in August 2016, on its regular (15/18 month) schedule, hope you can come!). There are also numerous timely announcements that indicate new publication outlets, resources, and jobs in Cog Sci and in cognitive modeling, or jobs I think might take modelers with an application. I have also included several unusual items, including some tools and an obituary. If you would like to be removed, please just let me know. I maintain it by hand to keep it small. [Hypertext version available at http://acs.ist.psu.edu/iccm2016/iccm-mailing-oct2015.html] cheers, Frank Ritter frank.e.ritter at gmail.com http://www.frankritter.com **************************************************************** 1. Intnl. Conf. on Cognitive Modeling, August 2016 in University Park, PA http://acs.ist.psu.edu/iccm2016/ 2. Soar Workshop, June 2015, program up https://web.eecs.umich.edu/~soar/workshop/ 3. Databrary, data library, is up and has sample data https://databrary.org/? 4. MindModeling at Home: supercomputing for modeling http://MindModeling.org 5. AI Research funding: Making AI robust and beneficial http://futureoflife.org/AI/2015awardees 6. HCI Community Discussion of Proposed Revisions to (US) IRB Rules http://hci-discuss-irb-rules.groupsite.com/ 7. Obituary for Raja Parasumaman 8. Outstanding dissertation awards, expected Jan 2016 http://www.cognitivesciencesociety.org/about_awards_glushko.html 9. The Discipline of Organizing: Core Concepts Edition, 3rd Ed. http://shop.oreilly.com/product/0636920045014.do 10. Related book to review: Riveted http://www.jimdavies.org/riveted/ 11. Review copies of the FDUCS book and the RBS books, for reviews http://www.frankritter.com/fducs http://www.frankritter.com/rbs 12. Computational Cognitive Science, first articles up http://www.springer.com/engineering/computational+intelligence+and+complexity/journal/40469 13. New ACM Transactions on Cyber-Physical Systems [journal] http://tcps.acm.org 14. Journal of Interaction Science call for papers http://news.springer.com/re?l=D0In5ve4pI6hg61ejIa&req=%2F2194 15. 2015-2016 ETS Fellowship and Internship Programs in R&D http://www.ets.org/research/fellowships [deadline passed for 2015, but will happen in 2016?] 16. 2015 Bio Inspired Cog Arch, Nov 2015, Lyons, France http://liris.cnrs.fr/bica2015 many deadlines past, except for late breaking 17. SBP/BRiMS Conference program and proceedings http://sbp-conference.org/sbp2015/program/ http://sbp-conference.org/sbp2015/downloads/ 18. Advances in Cognitive Systems, Proceedings http://www.cogsys.org/proceedings/2015 29-31 May 2015 19. Call for Papers and Special Issues, Trans. on Comp. Social Sys. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6570650 20. 19th Conference of the European Society for Cognitive Psychology Sep 2015 http://www.escop2015.org/ 21. Budapest Semester in Cognitive Science http://www.bscs-us.org/ 22. 6th UK Cognitive Linguistics Conference, July 2016, due: 6 Dec 2015 http://ukclc2016.bangor.ac.uk 23. Study abroad summer program: Systems Neuroscience in Budapest http://sysneuro-semester.org/ [passed, but may re-occur] 24. NASA calls for proposals http://nspires.nasaprs.com/external/ 25. Postdoc in Team Decision Dynamics at RPI until filled https://rpijobs.rpi.edu/postings/2587 26. Postdoc ACS Lab, Penn State [Reitter] http://acs.ist.psu.edu/ 27. Programmer in biology for simulation and analysis Penn State 28. Chaired profs in Math Psych/Cog sciences https://recruit.ap.uci.edu/apply/JPF03041 1 dec 15 until filled 29. Florida International, open rank and instructor in CS due 31 dec 15 30. Postdoctoral researcher needed, Wright State U 31. Postdoctoral researcher, CMU email John Anderson 32. Postdoc ACS Lab, Penn State [Ritter] 33. Post-doc, Rice U, due 1 oct 2015 https://jobs.rice.edu/postings/4748 34. Postdoc in Games, Play, and Motivational Design @ Northeastern U https://neu.peopleadmin.com/postings/36635 , posted July 2015 35. School of Information Tech, Carleton U - Assistant Prof URL too long! 36. 4 postdocs and RAs in AI consciousness, Tokyo http://www.araya.org/eng 37. CS at Virginia Tech, tenure track http://www.cs.vt.edu/FacultySearch 38. Lecturer/SL in games, U. of Lincoln, England http://games.lincoln.ac.uk/. 39. Information Science, UC/Boulder, due 2 Nov 2015 http://www.jobsatcu.com:80/postings/107999, position number F02925. 40. CS at U Central FL, tenure track https://www.jobswithucf.com/postings/43185 41. Assoc/Full Prof, Learning Science/EDM/LAK at New York U http://steinhardt.nyu.edu/faculty_positions/alt/ect_associate_tenured 42. Open-Rank Faculty Position in Quan Psy, U of Mich https://psychology-lsa.applicantstack.com/x/apply/a2s9hqlu3cgv 43. Senior Neuroscientists, Virginia Tech 44. Comp. neuroscience positions at Sandia National Labs [this has passed, but there seem to commonly be positions there] http://www.sandia.gov/careers/ 45. Academic Fellow in Machine Learning, Leeds, due 30sep15 https://jobs.leeds.ac.uk/vacancy.aspx?ref=ENGCP1012 46. Tenure Track Asst Prof in Cog Psychology at Syracuse U https://www.sujobopps.com/postings/61035 47. Director, Krasnow Institute for Advanced Study https://jobs.gmu.edu/postings/36230 48. Computational Social Science, GMU, Junior position https://jobs.gmu.edu/postings/36295 **************************************************************** 1. Intnl. Conf. on Cognitive Modeling, August 2016 in University Park, PA http://acs.ist.psu.edu/iccm2016/ International Conference on Cognitive Modeling, 4-6 Aug 2016, Penn State, University Park, PA, USA http://acs.ist.psu.edu/iccm2016/ Submissions due 8 Apr 2016 The International Conference on Cognitive Modeling will take place 4-6 August 2016 at Penn State, University Park, Pennsylvania. All paper, poster, symposium, and tutorial submissions are due on 8 April 2016, 5pm EDST. They should be submitted via our online submission system at: https://easychair.org/conferences/?conf=iccm2016 The International Conference on Cognitive Modeling (ICCM) is the premier conference for research on computational models and computation-based theories of human behavior. The goal of ICCM is to bring researchers together who are interested in using computational modeling to better understand human cognition. ICCM is a forum for presenting, discussing, and evaluating the complete spectrum of cognitive modeling approaches, including connectionism, symbolic modeling, dynamical systems, Bayesian modeling, and cognitive architectures. ICCM includes basic and applied research across a wide variety of domains, ranging from low-level perception and attention to higher-level problem-solving and learning. Finally, we also welcome contributions that use computational models to better understand neuro-imaging data. There are three types of regular submissions: Papers: refereed papers of up to 6 pages. If a submission is accepted to be published as a paper, the paper will be presented at the conference either as a talk or as a poster. Posters: refereed poster abstracts of up to 2 pages. If accepted, the corresponding poster will be presented at the conference in a dedicated poster session. Symposia: refereed symposia abstracts of up to 2 pages. If accepted, the conference committee will contact the authors to help organize and schedule the symposium. Notification of acceptance by 6 May 2016. The website has further details. TUTORIALS The day before the conference (3 Aug 16) will be devoted to tutorials on various cognitive modelling techniques and approaches. If you are interested in submitting a proposal for a tutorial, please see the tutorial page for more information. Tutorial proposals will be evaluated by the organising committee on the basis of their estimated benefit for prospective participants and on their fit within the tutorials program as a whole. If you are interested in organising a tutorial, please send us an email at frank.ritter at psu.edu by 8 Apr 2016 with the following information: - a 150 word description of the tutorial - duration (half-day or full-day) - who the tutors will be - any pre-requisites that participants need to follow the tutorial We will notify you of acceptance or rejection by 1 May 2016. **************************************************************** 2. Soar Workshop, June 2015, program up https://web.eecs.umich.edu/~soar/workshop/ The schedule is up, and you can see who spoke, and what tutorials were presented, including Soar and Lego. The Center for Cognitive Architecture (http://sitemaker.umich.edu/soarweb/home) at the U of Michigan and Soar Technology, Inc. (http://www.soartech.com/) are pleased to announce the 35th Soar Workshop will be held from Tuesday June 2, 2015 through Friday June 5, 2015 at the Bob and Betty Beyster Building at the U of Michigan in Ann Arbor. For those of you not familiar with the Soar Workshop, each year, members of the (http://soar.eecs.umich.edu/) Soar community--faculty, scientists, graduate students, technical staff and developers--gather together for several days of intensive interaction and exchange on Soar. The Soar community is widely distributed geographically, so these workshops provide an opportunity to have face-to-face conversations, learn about the current status of other participants' research and get previews of what will happen in the future. We will try to give as many members of the community as possible the opportunity to describe their research or discuss the Soar issues that are of concern to them. This means the time available per talk is quite short (typically either 5 or 15 minutes). Since workshop attendees are already entrenched in the Soar world, brief talks that concentrate on only the essentials work very well. The workshop format is presentations only -- no formal papers. There is no charge to attend the workshop although registration was required. You may sign up to give talks of various lengths as soon as you're registered. Please upload a copy of your presentation(s) by June 2th, 2015 via the Soar Workshop registration page. Note that this year's workshop will be over 4 days instead of 4.5. There will be two days of tutorials followed by two days of presentations. Questions and information regarding the workshop should be directed to John Laird via (laird at umich.edu), mail or phone: (734) 647-1761 **************************************************************** 3. Databrary, data library, is up and has sample data https://databrary.org/? The Databrary project (https://databrary.org/?) is up and running, and has sample data. It provides an NSF and NIH sponsored location to archive your data. Further details and the data for potential reuse are at that web site. **************************************************************** 4. MindModeling at Home: supercomputing for modeling http://MindModeling.org The MindModeling at Home project (http://MindModeling.org) strives to provide a simple, efficient and reliable resource for evaluating models of cognition. By uniting heterogeneous computational resources ranging from high performance computing systems to local grids to workstations of volunteers around the globe, the MindModeling at Home system avails large-scale computational power that enables exploration of models at a deeper level and across a larger number of contexts than is typically possible using a single research workstation. Over the past 5 years, the MindModeling at Home system has facilitated billions of cognitive model runs, using thousands of computers located in dozens of countries. With thousands of users contributing to the processing pool, the system has contributed to a broad spectrum of research initiatives, implemented in multiple languages (C, Java, Lisp, MATLAB, Python and R) recording job speed-ups of 3-orders of magnitude. Furthermore, this computational resource is being used now by research collaborators at universities including Indiana U, Michigan U, Michigan Technology U, Iowa, George Mason U, Rensselaer Polytechnic U, Tufts and Wright State U. **************************************************************** 5. AI Research funding: Making AI robust and beneficial http://futureoflife.org/AI/2015awardees [this call went out in 2014, was awarded in early 2015. it is a fresh view of AI and other technologies, and wants to look at their use critically. I suspect that they will have a further funding program.] Background information: https://www.reddit.com/r/IAmA/comments/2e3t77/i_am_max_tegmark_an_mit_physics_professor/ The Future of Life Institute, based in Cambridge, MA and headed by Max Tegmark (Physics prof, MIT), is seeking proposals for research projects aimed to maximize the future societal benefit of artificial intelligence while avoiding potential hazards. Projects may fall in the fields of computer science, AI, machine learning, public policy, law, ethics, economics, or education and outreach. This 2015 grants competition will award funds totaling $6M USD. This funding call is limited to research that explicitly focuses not on the standard goal of making AI more capable, but on making AI more robust and/or beneficial; for example, research could focus on making machine learning systems more interpretable, on making high-confidence assertions about AI systems' behavior, or on ensuring that autonomous systems fail gracefully. Funding priority will be given to research aimed at keeping AI robust and beneficial even if it comes to greatly supersede current capabilities, either by explicitly focusing on issues related to advanced future AI or by focusing on near-term problems, the solutions of which are likely to be important first steps toward long-term solutions. *** REFERENCES AND RESOURCES [1] Complete request for proposals and application form: http://futureoflife.org/grants/large/initial [2] Research Priorities document: http://futureoflife.org/static/data/documents/research_priorities.pdf [3] An open letter from AI scientists on research priorities for robust and beneficial AI: http://futureoflife.org/misc/open_letter [4] Initial funding announcement: http://futureoflife.org/misc/AI Questions about Project Grants: dewey at futureoflife.org Media inquiries: tegmark at mit.edu **************************************************************** 6. HCI Community Discussion of Proposed Revisions to (US) IRB Rules http://hci-discuss-irb-rules.groupsite.com/ Update your notification preferences to change the frequency or type of emails you receive from this group. Hello Everyone, [from: Marti Hearst (marti_hearst at yahoo.com)] It's been about 2 years since my last post to this list. To remind you, this group put together a letter in response to HHS's call for comments on proposed IRB reform in 2011. You may have thought that that work was for naught, but it seems that 4 years later, some activity has occurred. As I have noted in earlier messages, I subscribe to an email list from HHS that promises to provide updates on this matter, and yesterday I received the encouraging email that I enclose below. It is yet another request for comments. What we have to decide now is if we want to comment on it or not. I have not yet read the full RFC, but the paragraphs I quote below are very encouraging, which makes me think we may want to chime in with support. Here are the most encouraging paragraphs, from my perspective: The NPRM also attempts to strengthen the effectiveness and efficiency of the oversight system by making the level of review more proportional to the seriousness of the harm or danger to be avoided. Research that poses greater risk to subjects should receive more oversight and deliberation than less risky research. The NPRM seeks to avoid requirements that do not enhance protection and impose burden, which can decrease efficiency, waste resources, erode trust, and obscure the true ethical challenges that require careful deliberation and stakeholder input. Cumbersome and outdated regulatory standards overwhelm and distract institutions, IRBs, and investigators in ways that stymie efforts to appropriately address the real risks and benefits of research. The result of these types of changes, as the NPRM proposes to implement them, is that some studies that currently require IRB review would now become exempt. Some that are currently exempt would specifically be declared as outside the scope of the regulations ("excluded"), and thus would not require any administrative or IRB review. Further, in terms of determining when a study is exempt, a web-based "decision tool" will be created. That decision tool will provide a determination of whether or not a study is exempt. " So now this group needs to decide if we want to read the RFC and respond. [if you want to discuss, you should join the HCI group, or reply directly to the RFC using http://hci-discuss-irb-rules.groupsite.com/file_cabinet/files/774334/download/HHS%20Announces%20Proposal%20to%20Improve%20Rules%20Protectin%20Human%20Research%20Subjects.rtf?m=1441344571 **************************************************************** 7. Obituary for Raja Parasumaman He was very well known in human factors. I did not know Raja directly, but I was touched by the notes in his obituary, his relationship to cognitive modeling, and thought knowing about him might help us all. http://www.legacy.com/guestbook/dignitymemorial/guestbook.aspx?n=raja-parasuraman&pid=174475499&page=9 **************************************************************** 8. Outstanding dissertation awards, expected Jan 2016 http://www.cognitivesciencesociety.org/about_awards_glushko.html The Cognitive Science Society and the Glushko-Samuelson Foundation seek nominations for up to five outstanding dissertation prizes in cognitive science. The Prize seeks to recognize research in all areas of cognitive science construed broadly and particularly research that crosses interdisciplinary boundaries. The deadline for nominations (for candidates receiving their PhD between January 15, 2013 and January 15, 2015 is 30 Jan 2015. [and probably same general dates for 2015] Each prize will be accompanied by a certificate and a $10,000 award to be used by the recipient without any constraints. Prize winners will also receive three years of complimentary membership in the Cognitive Science Society starting with the year in which they have won the prize. Information about the nomination procedure is attached and may also be found at Information on the prizes can be found at http://www.cognitivesciencesociety.org/about_awards_glushko.html Description of the Prizes Up to five Robert J. Glushko Dissertation Prizes in Cognitive Science will be awarded annually. Each prize will be accompanied by a certificate and a $10,000 award to be used by the recipient without any constraints. Prize winners will also receive three years of complimentary membership in the Cognitive Science Society starting with the year in which they have won the prize. Prize-winning dissertations are expected to transcend any one of the individual fields comprising cognitive science. They should centrally address issues of interest to multiple fields that comprise cognitive science, including: psychology, computer science, philosophy, linguistics, anthropology, neuroscience, and education. Prize-winners must have received a PhD degree no more than two years before the 30 Jan nomination deadline. For the 2015 prizes, dissertations will be considered from individuals who received their PhD degrees during the period from January 15, 2013 to January 15, 2015. The dissertation prizes are open to any student who has conducted dissertation research related to cognitive science, regardless of nationality or originating department. How to Submit The deadline for nominations is 30 Jan 2015. Awardees will be announced by 15 Apr 2016. All nomination materials should be sent electronically to cogscij at indiana.edu in ascii, PDF, or Word format. Please put Glushko Nomination in subject line with nominees name. A nomination dossier includes: Letters of support from 3 faculty members. The letters of support should explicitly describe how the dissertation research transcends a single field comprising cognitive science to address core issues of relevance to several fields. We recommend that these letters refer to particular sections of the dissertation to support claims for interdisciplinary importance as this is a critical component in committee decisions. A curriculum vitae for the nominee The dissertation itself A precis of no more than 4,000 words (references are not included in the word count) written by the nominee describing the dissertation research. This description should clearly express the interdisciplinary contribution of the dissertation, suitable for review by a broad spectrum of cognitive scientists. Glushko Prize Committee Linda B Smith (Chair), Dist Prof of Psyc & Brain Sci.s, Indiana U Kathleen Akins, Prof of Philosophy, Simon Fraser U Dedre Gentner, Prof of Psychology & of Ed & Social Policy, Northwestern Adele Goldberg, Prof of Linguistics, Princeton Tim Shallice, Prof of Neuropsychology, U College London Thomas Griffiths, Assoc Prof of Psyc, UC Berkeley John Laird, Prof of Engineering, U of Mich **************************************************************** 9. The Discipline of Organizing: Core Concepts Edition, 3rd Ed. http://shop.oreilly.com/product/0636920045014.do The Discipline of Organizing: Core Concepts Edition, 3rd Edition By Robert J. Glushko [this is a print/online text book about information science with other substantial elements. Worth seeing at least for how it's published, used in numerous grad schools to teach about information. If you want an inspection copy, or a copy to write a review, email him, he's pretty helpful. It's used as numerous iSchools to teach intro courses.] We organize things. We organize information, information about things, and information about information. Organizing is a fundamental issue in many professional fields, but these fields have only limited agreement in how they approach problems of organizing and in what they seek as their solutions. We revised the TDO website to highlight the 3rd edition - see a description of the changes at http://disciplineoforganizing.org/third-editions-2015/ The price is lower than last year, and this time you get both an ebook and a pdf version as a bundle But if you want to use the 2nd editions, they are still available. We revised the TDO website to highlight the 3rd edition - see a description of the changes at http://disciplineoforganizing.org/third-editions-2015/ and at the bottom there's a comparison table so you can see how TDO has evolved over the last three years. **************************************************************** 10. Related book to review: Riveted http://www.jimdavies.org/riveted/ Jim Davies at Carleton U (jim.davies at gmail.com) has written a popular press book, Riveted: The science of why jokes make us laugh, movies make us cry, and religion makes us feel one with the universe (Palgrave, 2015). You can get a copy of it from him (or me) if you would like to write a review for publication. Otherwise, in fine stores everywhere. **************************************************************** 11. Review copies of the FDUCS book and the RBS books, for reviews http://www.frankritter.com/fducs http://www.frankritter.com/rbs Email if you would like to review or use as a textbook, either Foundations for designing user centered systems: What system designers need to know about people Running Behavioral studies with people: A practical guide Also, now email to get access to a small set of teaching materials for each book. And, the first is probably available through your library for $25, and the other has a discount page at http://www.frankritter.com/rbs/sage-30pc-flyer.pdf **************************************************************** 12. Computational Cognitive Science, first articles up http://www.springer.com/engineering/computational+intelligence+and+complexity/journal/40469 Computational Cognitive Science published its first articles (http://news.springer.com/re?l=D0In5x1giI6hg61ejIo) I am happy to announce that Computational Cognitive Science (http://news.springer.com/re?l=D0In5x1giI6hg61ejIp) has published its first articles and invite you to submit your next manuscript to this fully sponsored open access journal. Computational Cognitive Science provides you a forum for cross-disciplinary research contributions and debate relating to all aspects of the computational modelling of cognitive theories, and the implementation of intelligent systems that implicitly or explicitly draw on or inform research across multiple cognitive science disciplines. Read the first articles online! http://news.springer.com/re?l=D0In5x1giI6hg61ejIs A critical time in computational cognitive science David M W Powers http://news.springer.com/re?l=D0In5x1giI6hg61ejIt Computation in networks James K Peterson http://news.springer.com/re?l=D0In5x1giI6hg61ejIu Exploratory analysis of semantic categories: comparing data-driven and human similarity judgments Tiina Lindh-Knuutila, Timo Honkela http://news.springer.com/re?l=D0In5x1giI6hg61ejIv Time-order error and scalar variance in a computational model of human timing: simulations and predictions Maciej Komosinski, Adam Kups http://news.springer.com/re?l=D0In5x1giI6hg61ejIw Nodal computation approximations in asynchronous cognitive models James K Peterson Reasons to publish with us Open access publication Global visibility for your research Compliance with all open access mandates No article-processing charges (APC) I look forward to reading your work! Kind regards, David Powers Editor-in-Chief, Computational Cognitive Science PS The publication costs for Computational Cognitive Science are covered by the Centre for Knowledge & Interaction Technology, Flinders U, Australia, so you as an author do not need to pay an article-processing charge. Aims and Scope http://news.springer.com/re?l=D0In5x1giI6hg61ejI15 Editorial Board http://news.springer.com/re?l=D0In5x1giI6hg61ejI16 Submission http://news.springer.com/re?l=D0In5x1giI6hg61ejI18 **************************************************************** 13. New ACM Transactions on Cyber-Physical Systems [journal] http://tcps.acm.org ACM Transactions on Cyber-Physical Systems Editor-in-Chief Tei-Wei Kuo, National Taiwan U and Academia Sinica, Taiwan Cyber-Physical Systems (CPS) has emerged as a unifying name for systems where the cyber parts (i.e., the computing and communication parts) and the physical parts are tightly integrated, both at the design time and during operation. Such systems use computations and communication deeply embedded in and interacting with physical processes to add new capabilities to physical systems. These cyber-physical systems range from miniscule (pace makers) to large-scale (a national power-grid). There is an emerging consensus that new methodologies and tools need to be developed to support cyber-physical systems. ACM Transactions on Cyber-Physical Systems (TCPS) is [will be?] the premier journal for the publication of high-quality original research papers and survey papers that have scientific and technological understanding of the interactions of information processing, networking and physical processes. TCPS will cover the following topics: * Computation Abstractions * System Modeling and Languages * System Compositionality and Integration * Design Automation and Tool Chains * Trustworthy System Designs * Resilient and Robust System Designs * Human in the Loop The application domains covered by TCPS include, but not limited to: Healthcare, Transportation, Automotive, Avionics, Energy, Living Space, and Robotics. For further information and to submit your manuscript, visit http://tcps.acm.org **************************************************************** 14. Journal of Interaction Science call for papers http://news.springer.com/re?l=D0In5ve4pI6hg61ejIa&req=%2F2194 [This is an HCI journal interested in the science behind HCI] Following a very exciting year for open access and Springer in 2014, I would like to share with you some of our 2015 plans for (http://news.springer.com/re?l=D0In5ve4pI6hg61ejIa&req=%2F2194) the Journal of Interaction Science, and encourage you to promote the journal to your network of research contacts. What are we doing? We plan to intensify the marketing activities for the Journal of Interaction Science in 2015. To this end, the SpringerOpen marketing team has been expanded to include new members in Singapore and New York. Their focus will be on an increased volume of call-for-paper campaigns, thematic series promotion and regional marketing efforts. How can you help? As ever, the most powerful tool for promoting a journal is word-of-mouth recommendations from respected colleagues. Accordingly, we hope you will continue to encourage your colleagues to submit their exciting research to the Journal of Interaction Science (http://www.journalofinteractionscience.com/manuscript). To help with this we have increased the number of article-processing charge waivers available for 2015. If you or your colleagues would like to apply for one of these waivers, simply enter the following code into the waiver request box when submitting your next manuscript. Waiver application code*: SPRINGEROPEN20152 If you have questions or if you would like more information about how to apply for an APC waiver, please do not hesitate to get in touch. Best wishes, John Fallows (info at springeropen.com) Senior Marketing Manager, SpringerOpen **************************************************************** 15. 2015-2016 ETS Fellowship and Internship Programs in R&D http://www.ets.org/research/fellowships [deadline passed for 2015, but will happen in 2016?] 2015-2016 ETS Fellowship and Internship Programs in R&D ETS Research & Development (R&D) is pleased to announce that we are now accepting applications for the 2015-2016 Educational Testing Service (ETS) Fellowship and Internship Programs in R&D The goal of the ETS R&D Fellowship and Internship Programs is to promote quality and distinction in educational assessment and related fields by supporting early-career scientists' and graduate students' participation in significant research and exposure to methodologies within the ETS environment. The programs also provide opportunities for talented scholars and students from diverse backgrounds ? especially those from traditionally underrepresented groups such as African Americans, Hispanic/Latino Americans, and American Indians ? to pursue scientific research under the guidance of ETS researchers and psychometricians. These programs encourage research in areas such as: Psychometrics Validity Natural Language Processing and Computational Linguistics Cognitive and Developmental Psychology Learning Sciences Linguistics, Second Language Learning, & Teaching English as a Foreign Language Speech Recognition and Processing Teaching and Classroom Research Statistics Educational Data Mining International Large-Scale Assessments The ETS R&D Fellowship and Internship Programs seek applicants who either hold a doctoral degree or who are enrolled in a doctoral program in one of the fields mentioned above and who are interested in research opportunities. We would like your help in getting this information out to your colleagues and your very best graduate students and alumni. We encourage you and your colleagues to identify strong candidates and ask them to apply. ETS is seeking graduate students for the Summer Internship Program [link with traceback removed] in Research for Graduate Students. The program focuses on major research activities that will occur in 2015. Selected interns conduct research under the guidance of ETS mentors in Princeton, N.J. Graduate students who are currently enrolled in full-time doctoral programs in the areas listed above and who have completed a minimum of two years of coursework toward their PhD or EdD prior to the program start date are eligible to apply. The Harold Gulliksen Psychometric Research Fellowship [link with traceback removed] Program seeks graduate students who have completed their doctoral coursework and are at the dissertation stage of their program, working on a dissertation related to statistics, psychometrics, educational/psychological measurement or quantitative methods. Selected fellows study at their universities and carry out research under the supervision of an academic mentor and in consultation with an ETS researcher or psychometrician. This program's goal is to increase the number of well-trained scientists in educational assessment, psychometrics, and statistics. The Postdoctoral Fellowship Programs are open to individuals who hold doctorates in specific disciplines of interest to ETS. This year we are seeking applications in the following areas of expertise: science cognition, teacher evaluation, K-12 language arts, math and science, and formative assessment and learning in English language learning assessment. The postdoctoral programs provide talented scholars an opportunity to conduct research under the mentorship of ETS researchers and psychometricians. Selected fellows work on ETS research projects and conduct their proposed independent research, which should be relevant to ETS's goals. ETS administers two postdoctoral programs the ETS Postdoctoral Fellowship Program [link with traceback removed], which supports scholars who have received their doctoral degrees within the last three years, and the Sylvia Taylor Johnson Fellowship in Educational Measurement [link with traceback removed], which supports those who received their doctoral degrees within the last 10 years. ETS is particularly interested in receiving applications for the Sylvia Taylor Johnson Fellowship in Educational Measurement [link with traceback removed] from members of groups typically underrepresented in the field of educational measurement/psychometrics. Please take a moment to consider which qualified individuals you believe would benefit from these opportunities and help ETS achieve the programs' goals. Please share this information with your colleagues. Information and application instructions for the programs are available on the ETS website at http://www.ets.org/research/fellowships [link with traceback removed] The application deadline(s) are: Summer Internship Program in Research for Graduate Students 1 Feb 2015 Gulliksen Psychometric Res Fellowship 1 Dec 2014 (preliminary) & 1 Feb 2015 (final) Postdoctoral Fellowship Programs 1 Jan 2015 (prel.) and 1 Mar 15 (final) If you have any questions about the programs, please email internfellowships at ets.org. If you are interested in joining our mailing list, please sign up [link with traceback removed] Copyright 2014 by Educational Testing Service. All rights reserved. ETS, the ETS logo and LISTENING. LEARNING. LEADING. are registered trademarks of Educational Testing Service (ETS). [used with implied permission] **************************************** 16. 2015 Bio Inspired Cog Arch, Nov 2015, Lyons, France http://liris.cnrs.fr/bica2015 many deadlines past, except for late breaking 2015 Annual International Conference on Biologically Inspired Cognitive Architectures (BICA 2015) Sixth Annual Meeting of the BICA Society 6-8 Nov (Fri-Sun) 2015, Lyon, France http://liris.cnrs.fr/bica2015 Sponsored by: The BICA Society; The U of Lyon; LIRIS; Elsevier B.V. Points of contact: Amie Cordier (amelie.cordier at liris.cnrs.fr) Olivier Georgeon (olivier.georgeon at liris.cnrs.fr Alexei Samsonovich (alexei at bicasociety.org) Call for Papers Biologically Inspired Cognitive Architectures (BICAs) are computational frameworks for building intelligent agents that are inspired by biological intelligence. These agents serve both as theoretical models (e.g., in cognitive science, neuroscience, economics and social sciences), and as intelligent controllers for autonomous systems (robots, games characters, smart human/machine interfaces, health applications, etc). Biological intelligent systems (animals, including humans) have many qualities that are often lacking in artificially designed systems; their purpose goes beyond interacting with a closed environment or solving predefined logical problems. At the time when our understanding of natural intelligence is exploding, thanks to modern brain imaging, ethological studies, and the development of cognitive models mapping brain structures with functions, our ability to learn lessons from nature and to build biologically inspired intelligent systems has never been greater. At the same time, the growth in computer science and technology has unleashed enough design creativity and computational power to generate an explosion of applications in multiple domains. Research in Biologically Inspired Cognitive Architectures contributes to the development of these applications by addressing the numerous questions raised by the problem of replicating natural intelligence, specifically, the complexity of higher cognitive abilities of the human mind, in an artificial system (widely known as the BICA Challenge). These questions are trans-disciplinary in nature and promise to yield multi-directional flow of understanding between all the involved disciplines. Scope With the scope of BICA 2015 covering all areas of BICA research listed below, this year's major thrust will be on learning from experience of sensorimotor interaction. Here, the key questions are: Learning: how a system that has no direct ontological access to reality can construct knowledge about reality based on regularities of interaction? Self-motivation: what key motivational drives (e.g., emotions, behavioral preferences, social interactions) should we incorporate in models of self-motivated cognitive systems? Methodology: how to assess active open-ended learning? What methods can we draw from biology to define and assess intelligent behaviors beyond predefined tasks and pre-modeled problems? Models of interaction with the environment: can we define models of interaction alternative to the traditional perception-cognition-action cognitive cycle? What emergent mathematical foundations can support sensorimotor and other forms of learning? In addition to these focus topic areas of BICA 2015, we encourage submission of papers in all areas relevant to BICA research, especially in the following areas: Neuroscience: B in BICA: useful biological constraints for cog architectures Bridging the gap between artificial & natural info processing Cognitive and learning mechanisms informed by neuroscience Neural correlates of cognitive and meta-cognitive processes Robustness, scalability and adaptability in neuromorphic systems Neurophysiological underpinnings of reinforcement learning Physiological mechanisms of memory formation and (re)consolidation Representation of contextual & conceptual knowl. in neural sys Social, Economic and Educational Sciences: Mixed-initiative systems based on inspirations from biology Agents possessing human-level social, narrative, & emot. intell. BICA in pedagogy, learning, and tutoring technologies & ed BICA models of self and their application to self-awareness Reps, perception, understanding, processing, & emotion expression Virtual characters & narratives, artif. personalities & human-compatibility of BICA Agent-based modeling of intelligent social phenomena (are there any?) Application of BICA technologies in elderly care Cognitive Science: Perception, reasoning, decision making and action in BICA Combining natural and artificial approaches to cognition Comparison of different forms of learning, memory, & cog devel. Theory-of-Mind, episodic & autobiographical memory in cog. sys. Introspection, metacognitive reasoning and self-awareness in BICA Models of learning & memory: robustness, flexibility, transferability Natural and body language & its role in intelligence, cog. & interaction Unifying frameworks and constraints for cog archit.s: grand unification Artificial Intelligence: Creativity, goal reasoning and human-level autonomy in artifacts Embodied vs. ambient intelligence: embedding or embodiment? Natural language capabilities and social competence of BICA Learning by reading, by observation, by reasoning and by analogy Robust and scalable machine learning mechanisms in BICA Self-regulated learning, bootstrapped & meta-learning The place for BICA in tomorrow's textbook of AI General: Math. basis for BICA & fundamental theoretical questions in BICA research Alternative substrates for implementation of BICA: smart materials, quantum and biocomputing Alternative approaches to the develop. of BICA: evolutionary, system-theoretic, educational Fundamental academic, practical & theoretical questions in BICA Cognitive Decathlon & Grand Challenges for BICA as components of the BICA Challenge Critical mass for a universal human-level learner & a roadmap to solving the BICA Challenge Metrics, tests, proximity measures & roadmap to human-level/ human-compatible AI Leveraging the cloud, world-wide-web, & social-media: possible role for BICA? Cybersecurity and secure authentication methods based on BICA Interdisciplinary research opportunities involving BICA Intnl. trends & opportunities in funding BICA related research Format The format of the conference is a 2.5 day meeting including paper presentations, panel discussions, invited talks, and technology demonstration showcases. Symposia and other mini-events (including special sessions, breakout groups, brainstorms, think-tanks, socials, and more) as part of the conference will be added as needed (proposals are solicited). We additionally solicit proposals for panel topics. The working language is English. As part of our rich social and cultural program included in the registration, we are planning a Welcome Reception and a boat trip on the Rh?e and Saone rivers with a banquet on the boat. Publication Venue and Submission All the BICA 2015 papers and abstracts will be included in the electronic volume of proceedings distributed to the conference participants (this volume will not constitute a separate publication). Additionally, each article will be published in one of the two official BICA 2015 venues: A special volume of Elsevier's Procedia Computer Science (http://www.journals.elsevier.com/procedia-computer-science), indexed by Web of Science CPI and Scopus. The BICA Journal (http://www.journals.elsevier.com/biologically-inspired-cognitive-architectures/) an Elsevier journal indexed in Scopus, submitted for indexing in Web of Science. Submission Categories: In accordance with the publication venues, there are the following categories of submission: 1. Papers for the special volume of Procedia Computer Science: 2 page abstract. 6 page paper. Every additional page in excess of this limit should be covered by a fee of 50 E at registration 2. Papers for the BICA Journal (no extra-page charge): Letters (brief communications of new findings): 3k to 6k words. Full Research Articles: approximately 8k to 12k words. Reviews or vision papers may be submitted by invitation only. 3. Stand-alone abstracts (500 words) considered unpublished but included in the conference program brochure and in the electronic volume. Preparation of Submissions: Templates and complete instructions for preparation of submission are available on the BICA2015 website http://liris.cnrs.fr/bica2015/wiki/doku.php/submission None of the initial submission is required to be camera-ready. However, all final paper submissions must be in a camera-ready form prepared based on the provided Procedia templates and must conform to the http://www.elsevier.com/journals/procedia-computer-science/1877-0509/guide-for-authors Core Organizing and Scientific Committee Amie Cordier (Lyon 1, France) General Chair. http://liris.cnrs.fr/amelie.cordier/ Olivier Georgeon (Lyon 1, France) Program Chair http://www.oliviergeorgeon.com/ Salima Hassas (Lyon 1, France) http://liris.cnrs.fr/membres?idn=shassas Laetitia Matignon (Lyon 1, France), Organizing committee member http://liris.cnrs.fr/membres?idn=lmatigno Frederic Armetta (Lyon 1, France), Organizing committee member. http://liris.cnrs.fr/membres?idn=farmetta"> Alexei Samsonovich (GMU, USA) Co-Chair. http://mason.gmu.edu/%7Easamsono Kamilla R. Johannsdoetir, scientific committee Member http://stefania.unak.is/stefania/moja-starfsmadurenska.asp?starfsm=kamilla&phluti=5 Antonio Chella (U of Palermo, Italy), sci. comm. Member. http://www.antoniochella.it/Antonio/Home.html Christian Lebire (CMU, USA), scientific committee Member. http://www.psy.cmu.edu/people/lebiere.html Paul Robertson, (DOLL Inc, USA), organizing committee member http://www.dollabs.com/drpaulrobertson.htm Important Dates and Deadlines Deadline for proposals of sub-events* 1 May 2015 Paper and abstract submission opens 10 May Deadline for initial submission of papers & abstracts 1 Jun Paper review feedback and notification of acceptance 10 Jul Final paper due 1 Aug Early-bird registration due 10 Aug Regular registration due 20 Aug Late-breaking stand-alone abstract due 1 Oct Conference 6-8 Nov 2015 * (including symposia, workshops, socials, technology demos, panels, etc.) **************************************************************** 17. SBP/BRiMS Conference program and proceedings http://sbp-conference.org/sbp2015/program/ http://sbp-conference.org/sbp2015/downloads/ [held in the spring, will be held again: http://sbp-conference.org/sbp2016/about/ ] I am honored to announce the release of the Behavior Representation in Modeling & Simulation (BRiMS) conference. This year, it re-joined the Social Computing, Behavioral-Cultural Modeling, Prediction (SBP) conference for their SBP2015 in Washington, DC from March 31-April 3, 2015. We're thrilled to get rejoin with SBP as our conferences melded so well together last year. Like last year, the conference fee for SBP will also allow you to attend BRiMS, so it truly is two conferences for the price of one. For us Department of Defense workers still under conference restriction, you should note that this is a unique opportunity for you to present your modeling and simulation work at a conference. We will once again offer video teleconferencing (VTC) to present your accepted papers. For the past three years, we have been unable to attend most conferences and from first-hand knowledge, this has restricted our publication opportunities. Using the VTC option will allow you to get back to presenting your findings to the modeling and simulation community. daniel.n.cassenti.civ at mail.mil **************************************************************** 18. Advances in Cognitive Systems, Proceedings http://www.cogsys.org/proceedings/2015 29-31 May 2015 The purpose of the meeting is to bring together researchers with interest in building cognitive systems that are distinguished by a focus on high-level cognition and decision making, reliance on rich, structured representations, a systems-level perspective, use of heuristics to handle complexity, and incorporation of insights about human thinking. The Conference provides a venue for dissemination of research results pertaining to the original, yet unanswered, questions of Artificial Intelligence: to produce computational artifacts that reproduce a broad range of human cognitive abilities. The conference welcomes work on any topic related to the representation or organization of complex knowledge structures, their use in multi-step cognition, or their acquisition from experience or instruction. Some functional capabilities that arise in this context include, but are not limited to: Conceptual Inference and Reasoning Memory Storage and Retrieval Language Processing Social Cognition and Interaction High-level Execution and Control Problem Solving and Heuristic Search Cognitive Aspects of Emotion and Personality Metacognition and Meta-level Reasoning Structural Learning and Knowledge Capture We especially encourage participation from researchers working in these and other areas who are interested in complex cognition, human-level intelligence, and related topics. Accepted long papers will be included in the conference proceedings and also may be invited to appear in the online journal, Advances in Cognitive Systems. The conference aims to be as inclusive as possible while still fostering innovative research on the computational nature of intelligence. The conference FAQ (http://www.cogsys.org/faq) attempts to clarify the scope of the event. Authors who have questions about whether their research is appropriate for the meeting should contact the Program Co-Chairs, Ashok Goel (goel at cc.gatech.edu) and Mark Riedl (riedl at cc.gatech.edu), for additional information. General Chairs Ashok Goel GIT (goel at cc.gatech.edu) Mark Riedl GIT (riedl at cc.gatech.edu) Organizing Committee Paul Bello Office of Naval Research Kenneth Forbus Northwestern U John Laird U of Michigan, Ann Arbor Pat Langley U of Auckland / Carnegie Mellon Sergei Nirenburg Rensselaer Polytechnic Institute **************************************************************** 19. Call for Papers and Special Issues, Trans. on Comp. Social Sys. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6570650 Transactions on Computational Social Systems Co-Sponsored by IEEE Systems, Man and Cybernetics Society and IEEE Computer Society IEEE Transaction on Computational Social Systems began publication in 2014 and welcomes paper submissions that fall within its scope. IEEE Transactions on Computational Social Systems focuses on such topics as modeling, simulation, analysis and understanding of social systems from the quantitative and/or computational perspective. "Systems" include man-man, man-machine and machine-machine organizations and adversarial situations as well as social media structures and their dynamics. More specifically, the transactions publishes articles on modeling the dynamics of social systems, methodologies for incorporating and representing socio-cultural and behavioral aspects in computational modeling, analysis of social system behavior and structure, and paradigms for social systems modeling and simulation. The journal also features articles on social network dynamics, social intelligence and cognition, social systems design and architectures, socio-cultural modeling and representation, and computational behavior modeling, and their applications. Transactions website: http://ieeexplore.ieee.org/xpl/aboutJournal.jsp?punumber=6570650 Recent articles: http://ieeexplore.ieee.org\xpl/RecentIssue.jsp?punumber=6570650 Paper submission information: https://mc.manuscriptcentral.com/tcss For more information: Co-Editor-in-Chief George Cybenko, gvc at dartmouth.edu Prof of Engineering, Dartmouth **************************************************************** 20. 19th Conference of the European Society for Cognitive Psychology Sept 2015 http://www.escop2015.org/ [this is another group of cognitive psychologists from what typically attends cognitive science conference, I think. announcement late, but it is recurring.] **************************************************************** 21. Budapest Semester in Cognitive Science http://www.bscs-us.org/ BSCS-US announces a regular and a new study abroad program [next announcement] in Budapest for 2015. Our regular program: BSCS - Budapest Semester in Cognitive Science Philosophy to Neuroscience will be held in the Fall of 2015, see: http://www.bscs-us.org/ . **************************************************************** 22. 6th UK Cognitive Linguistics Conference, July 2016, due: 6 Dec 2015 http://ukclc2016.bangor.ac.uk First announcement / call for abstracts for the 6th UK Cognitive Linguistics Conference 19 - 22 July 2016, Bangor U, Wales, UK http://ukclc2016.bangor.ac.uk We invite the submission of abstracts (for paper or poster presentations) addressing all aspects of cognitive linguistics. The conference aims to cover a broad range of research concerned with language and cognition. We are especially interested in promoting empirical work pertaining to cognitive semantics, embedded discourse, and applied cognitive linguistics. Thematic sessions will be organised around the following topics: *Functional approaches to cognitive linguistics *Cognitive linguistic approaches to language teaching *Lexicology and lexical concepts *Language and space *Embodiment *Analogy and conceptual transfer *Situated cognition and language In addition to these themes, other relevant topics include: *Domains and frame semantics *Categorisation, prototypes and polysemy *Mental spaces and conceptual blending *Language evolution *Linguistic variation and language change *Gesture *Typology and constructional analyses of the languages of the world *Acquisition *Corpora and statistical methods *Metaphor and discourse *Cognitive computational models Cognitive linguistics is by definition highly interdisciplinary, and so in addition to primarily linguistic research, we also invite language related submissions that are based on disciplines such as (cognitive and social) psychology, cognitive science, neuroscience, anthropology, biology, artificial intelligence, and discourse and communication studies. Bangor is widely recognised as one of the most scenic university settings in the UK [England], set between the famous Snowdonia Mountains and the sea. The location, the scenery and the surrounding area are amongst the reasons why Bangor U enjoys rising student numbers and continuously attracts researchers from around the world for conferences and extended research visits, spanning many disciplines and research areas. This provides an ideal setting for an intense and thought provoking interdisciplinary conference, following the spirit of previous UK-CLCs. The cathedral and university city of Bangor is easily reached through excellent road and railway networks, with easy connections to London, Manchester, and Liverpool airports. It is situated between the historical cities of Conwy and Caernarfon, with their famous castles and many further attractions close by for social events and conference outings. Confirmed plenary speakers: *Penelope Brown (Max Planck Institute for Psycholinguistics, Nijmegen, NL) *Kenny Coventry (U of East Anglia, UK) *Vyv Evans (Bangor U, UK) *Dirk Geeraerts (U of Leuven, BE) *Len Talmy (U at Buffalo, NY, USA) *Dedre Gentner (Northwestern U, IL, USA) Key dates *Abstract deadline: 6 Dec 2015 *Decisions communicated by: 15 Feb 2016 *Pre-conference workshops: Mon Jul 18, 2016 *Main conference: Tue July 19 - Fri Jul 22, 2016 Talks will be 20 minutes plus 10 minutes for questions and discussion. There will also be a poster session. The language of the conference is English. Abstracts of no more than 300 words (excluding references) will be submitted using EasyChair (please check the conference website at http://ukclc2016.bangor.ac.uk for updates). Participants will be allowed to present at most one talk (as a single or first author) and one poster, but can be co-authors on other work. Please indicate on your abstract if you intend the submission for a poster. All abstracts will be subject to double-blind peer review by an international scientific committee. Since 2012 UK-CLA has published selected conference presentations in the series 'Selected Papers from UK-CLA Meetings' (ISSN 2046-9144); UK-CLC6 will continue this tradition. Registration fees will be on a par with previous UK-CLC conferences. In addition to the benefits of the conference, registration will now also include membership in the UK-CLA (Cognitive Linguistics Association) including free online access to the Language & Cognition journal for a year. Chair: Thora Tenbrink (t.tenbrink at bangor.ac.uk) Co-chairs: Christopher Shank, Alan Wallington Local management: Javier Olloqui Redondo, Josie Ryan Queries: ukclc2016 at bangor.ac.uk **************************************************************** 23. Study abroad summer program: Systems Neuroscience in Budapest http://sysneuro-semester.org/ [passed, but may re-occur] We open also a new program: Systems Neuroscience: a study abroad summer program Program dates: June 8th- Aug 7th, 2015 The BSCS Systems Neuroscience Program takes place at and academically supervised by the Department of Anatomy, Histology and Embryology, Semmelweis U Medical School, Budapest. For details, see: http://sysneuro-semester.org/ **************************************************************** 24. NASA calls for proposals http://nspires.nasaprs.com/external/ [I have not worked with these calls, but have been on a review panel. Cognitive modeling may be applied or used for several of these calls. You may wish to examine the funding rate and the calls online.] A National Aeronautics and Space Administration (NASA) Research Announcement (NRA), entitled, "Human Exploration Research Opportunities (HERO)" (NRA NNJ15ZSA001N), will be [was?] released on July 31, 2015. This NRA will solicit research in support of NASA's Human Research Program (HRP). The solicitation will be available at http://nspires.nasaprs.com. The HRP contains six Elements: Space Radiation, Human Health and Countermeasures, Exploration Medical Capability, Behavioral Health and Performance, Space Human Factors and Habitability, and International Space Station Medical Project. Fourteen disciplines or areas support the Program: Behavioral Health and Performance, Bone, Cardiovascular, Extravehicular Activity, Immunology, Medical Capabilities, Muscle, Nutrition, Pharmacology, Radiation, Sensorimotor, Advanced Food Technology, Advanced Environmental Health, and Space Human Factors Engineering. **************************************************************** 25. Postdoc in Team Decision Dynamics at RPI until filled https://rpijobs.rpi.edu/postings/2587 *Postdoc in Team Decision Dynamics at RPI* A 12-month, full-time postdoctoral scholar position in team decision making is available beginning on or after 1 September 2015 in the Department of Industrial and Systems Engineering at Rensselaer Polytechnic Institute. The position is associated with an NSF-supported project on post-disaster distributed decision making (NSF CMMI-1363513, PI David Mendonca, Co-PI Martha Grabowski), as described here: http://nsf.gov/awardsearch/showAward?AWD_ID=1363513. Applicants should have a PhD in an appropriate field (including but not limited to Industrial Engineering, Human Factors, Information/Computer Science, and Cognitive Systems) at the time of their appointment. Programming and data management experience are a plus. Opportunities of this position include collaborative publishing, shared management of project personnel, professional presentations, and development of proposals for follow-up research. Renewal beyond the initial 12-month appointment is dependent upon performance and the availability of funds. To apply, interested applicants should submit the following items in PDF format: (1) a cover letter, including the applicant's qualifications and career plans, (2) a current CV, and (3) contact information for three professional references. Please see https://rpijobs.rpi.edu/postings/2587 for specific instructions. Review of applications will begin immeidately and continue until the position is filled. Please direct any questions about this position to David Mendonca (mendod at rpi.edu). **************************************************************** 26. Postdoc ACS Lab, Penn State [Reitter] http://acs.ist.psu.edu/ Postdoc position @ Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State. We're beginning new, NSF-funded research in the areas of linguistics and computational social science. Generally, we seek to model cognitive processes using large-scale datasets and experimentation. Our recent core contributions have been in psycholinguistic models of natural-language dialogue and in decision making. Our work in cognitive science is fueled by advances in computing. In turn, we translate progress in cognitive science to contributions in computer science, recently in cybersecurity and machine learning. We are looking for a postdoc with training in one or more of the following areas: cognitive science (e.g., compt. psycholinguistics & data-driven modeling), deep connectionist representations, and natural language processing and information retrieval. While the successful applicant is likely to focus on some areas, strong practical computational skills and a research interest in cognition or linguistics are required. Duties will include contributing to a project that combines crowd-sourcing and natural language processing to curate a dataset for peace research. Beyond that, the post-doc is primarily expected to build a strong research agenda, but may also collaborate in the graduate students' projects and teach. The initial appointment would be for one year and is renewable. Applicants should have a Ph.D. in a relevant area (or be in the final stages of obtaining one) and a strong record of publications. The PI's group currently consists of four Ph.D. students engaged in research on corpus-based cognitive linguistics, decision-making, and machine learning. Penn State provides a strong environment for work in the area, with its Center for Language Science, Departments of Psychology and Computer Science, and IST (Penn State's "iSchool"), which is home to the ACS Lab. IST is collaborative and can provide interaction with researchers in psychology, data mining, AI/machine learning, computational social science, security, and more. Penn State is located in central Pennsylvania, within driving distance to Pittsburgh, New York, Washington, D.C., and Baltimore. Please direct informal inquiries to David Reitter, reitter at psu.edu. Job ad and formal applications: https://psu.jobs/job/58861 **************************************************************** 27. Programmer in biology for simulation and analysis Penn State I spoke with Prof. Katriona (Kat) Shea in July, a prof in biology at Penn State. She found me because one of my students applied for the position below. She's having trouble filling this position. It is modeling aspects of Ebola on a behavioral level. Some modeling, some analysis, some R. It looks interesting, timely, societyly important, and her support has a short fuse -- it is a one-year NSF grant that has already started. She can cover post-doc, grad student, or UG hours. Or contract programmer. Open until filled. Salary is competitive with university salaries. =---------------------- A Programmer/Analyst position is available in the Dept of Biology, to develop stochastic simulations of a range of published epidemiological models of Ebola. The ideal candidate will need strong programming skills and experience in stochastic simulation of dynamic systems; will demonstrate strong organizational, written, and oral communication skills; and be able to work well both independently and as part of a collaborative team. An interest in epidemiology and co-authoring publications is desirable, but not essential. The ideal candidate will have a strong background in R, JavaScript, C, C++, and Python OR a combination - to translate PI's previous work on the in R and the ability to translate from R to the chosen project language will be essential. The programmer will work with: Dr. Katriona Shea (http://www.bio.psu.edu/People/Faculty/Shea/); Dr. Matthew Ferrari (http://www.cidd.psu.edu/people/mjf283); and Dr. Ottar Bjornstad (http://www.cidd.psu.edu/people/onb1) in the Department of Biology (www.bio.psu.edu) and the Center for Infectious Disease Dynamics (www.cidd.psu.edu) at the Pennsylvania State U. All applications must be submitted electronically (email initially) and should include a cover letter stating relevant experience and interests, a current CV or resume, and contact information for three references. For additional information about the position, contact Katriona Shea (k-shea at psu.edu; 814-321-4809). Review of applications will begin immediately and continue until position is filled. This job will be filled as a level 2, or level 3, depending upon the successful candidate's competencies, education, and experience. This is a fixed-term appointment funded for one year from date of hire with possibility of re-funding. **************************************************************** 28. Chaired profs in Math Psych/Cog sciences https://recruit.ap.uci.edu/apply/JPF03041 1 dec 15 until filled U of California, Irvine Chaired Profs in Mathematical Psychology/Cognitive Sciences The Department of Cognitive Sciences (www.cogsci.uci.edu) at the U of California, Irvine (UCI) invites applications for faculty positions associated with the Falmagne Endowed Chairs in Mathematical Psychology/Cognitive Sciences. Applicants should have an exemplary track record of implementing innovative mathematical approaches to important questions in psychology or cognitive science. We are especially interested in candidates at the advanced Associate or Full Prof level whose research focus is in either human cognition or visual perception, and related areas of specialization. Information about the Chairs at: http://www.cogsci.uci.edu/falmagnechairs.php. The online application includes: A cover letter, CV, research and teaching statements, 3 major publications, and contact information for 3-5 referees. Interested candidates can apply for the position at: https://recruit.ap.uci.edu/apply/JPF03041. Application review will commence on 1 Dec 2015 and continue until filled. ---------- Jeff Krichmar, jkrichma at uci.edu Department of Cognitive Sciences U of California, Irvine Irvine, CA 92697-5100 http://www.socsci.uci.edu/~jkrichma comp-neuro at neuroin **************************************************************** 29. Florida International, open rank and instructor in CS due 31 dec 15 The School of Computing and Information Sciences (SCIS) seeks exceptionally qualified candidates for tenure-track and tenured faculty positions at all levels as well as non-tenure track faculty positions at the level of Instructor, including visiting instructor appointments. SCIS is a rapidly growing program of excellence at the University, with 30 tenure-track faculty members and over 2,000 students, including over 80 PhD students. SCIS offers BS, MS, and PhD degrees in Computer Science, an M.S. degree in Telecommunications and Networking, an MS degree in Cybersecurity, and BS, BS, and MS degrees in Information Technology. SCIS has received over $22M in the last four years in external research funding, has six research centers/clusters with first-class computing and support infrastructure, and enjoys broad and dynamic industry and international partnerships. Open-Rank Tenure Track/Tenured Positions (Job ID# 508676) SCIS seeks exceptionally qualified candidates for tenure-track and tenured faculty positions at all levels. We seek well-qualified candidates in all areas; researchers in the areas of computer systems, cybersecurity, cognitive computing, data science, health informatics, and networking are particularly encouraged to apply. Preference will be given to candidates who will enhance or complement our existing research strengths. Ideal candidates for junior positions should have a record of exceptional research in their early careers. Candidates for senior positions must have an active and proven record of excellence in funded research, publications, and professional service, as well as a demonstrated ability to develop and lead collaborative research projects. In addition to developing or expanding a high-quality research program, all successful applicants must be committed to excellence in teaching at both the graduate and undergraduate levels. An earned PhD in CS or related disciplines is required. Non-tenure track instructor positions (Job Opening 507474) We seek well-qualified candidates in all areas of Computer Science and Information Technology. Ideal candidates must be committed to excellence in teaching a variety of courses at the undergraduate level. A graduate degree in CS or related disciplines is required; significant prior teaching and industry experience and/or a PhD in CS is preferred. Florida International University is recognized as a Carnegie engaged university. It is a public research university with colleges and schools that offers more than 180 bachelor's, master's and doctoral programs in fields such as engineering, international relations, architecture, law and medicine. As one of South Florida's anchor institutions, FIU contributes $9.8B annually to the local economy. FIU emphasizes research as a major component of its mission. FIU has awarded over 200,000 degrees and enrolls more than 54,000 students in two campuses and three centers including FIU Downtown on Brickell, FIU at I-75, and the Miami Beach Urban Studios. FIU also supports artistic and cultural engagement through its three museums: the Patricia & Phillip Frost Art Museum, the Wolfsonian-FIU, and the Jewish Museum of Florida-FIU. FIU is a member of Conference USA and has over 400 student-athletes participating in 18 sports. For more information about FIU, visit http://www.fiu.edu/. HOW TO APPLY: Qualified candidates for open- rank faculty positions are encouraged to apply to (Job Opening ID #508676); and candidates for instructor positions are encouraged to apply to (Job Opening ID # 507474). Submit applications at facultycareers.fiu.edu and attach cover letter, curriculum vitae, statement of teaching philosophy, research statement, etc as individual attachments. Candidates will be required to provide names and contact information for at least 3 references who will be contacted as determined by the search committee. To receive full consideration, applications and required materials should be received by 31 dec 2015. Review will continue until position is filled. If you are interested in a visiting appointment please contact the department directly by emailing Dr. Mark Weiss at Weiss at cis.fiu.edu. All other applicants should apply by going to facultycareers.fiu.edu. **************************************************************** 30. Postdoctoral researcher needed, Wright State U POSTDOCTORAL FELLOW Human Neuroscience and Visual Cognition & ASTECCA Laboratories, Department of Psychology, Wright State U We are seeking a postdoctoral fellow to take a leading role in our research on the neurocognitive correlates of attentional control and lapses of attention in semi-structured ecological settings. The goal of this project is to rigorously characterize the relationship between laboratory measures of attentional control and failures of attention in realistic task contexts. We specifically aim to combine cognitive behavioral studies, ERP experiments, and computational modeling to test the extent to which laboratory measures can predict individual differences in susceptibility to attentional failures. We will investigate how these combined measures can be used to identify which individuals are most likely to benefit from a cognitive training paradigm aimed at enhancing attentional control. The postdoctoral fellow will be responsible for designing the studies, programming the experimental paradigms, recruiting participants, and collecting the data. In addition, the fellow will be responsible for data analysis and reporting the research findings in peer-reviewed journals. The position is fully funded for three years. The successful candidate will hold a PhD in Cognitive Neuroscience, Cognitive Psychology, Computer Science, or any other related discipline by the start date of the position. Experience in computer programming, especially with Matlab, and familiarity with fMRI or EEG research are required. Experience in computational cognitive modeling will be considered a strong advantage. The Department of Psychology is housed in the College of Science and Mathematics, offers a PhD in Human Factors and Industrial/ Organizational Psychology, and has 3 undergraduate concentration areas: (1) Cognition and Perception, (2) Industrial/ Organizational, and (3) Behavioral Neuroscience. Wright State U was recently ranked among the "Best in the Midwest" universities by The Princeton Review, listed among 260 Best National Universities in the annual "America's Best Colleges" rankings by US News & World Report, and ranked 4rth nationally among universities with limited numbers of doctoral programs in the Faculty Scholarly Productivity Index. Wright State U is an Equal Opportunity/Affirmative Action Employer. For more information on this position contact Assaf Harel, PhD assaf.harel at wright.edu or Ion Juvina, PhD ion.juvina at wright.edu. Applicants should visit the following link to upload CV and statement of research: http://jobs.wright.edu/postings/9380 . In addition, please have three letters of reference sent directly to Ion Juvina, Assistant Prof, Psychology, 313G Fawcett Hall, 3640 Colonel Glenn Hwy, Wright State U, Dayton, OH 45435. Review of complete applications will begin 8 Aug 2015, and continue until the position is filled. All new hires must go through a criminal background check before they can be hired. **************************************************************** 31. Postdoctoral researcher, CMU email John Anderson I am looking for a postdoctoral researcher. The work in our laboratory involves developing ACT-R models of the learning of complex skills and relating these models to the temporal structure of fMRI, EEG, and MEG data. An appropriate candidate would have relevant background in some aspects of such work and an interest in learning other aspects. Interested candidates should email their CV to me (ja at cmu.edu) and contact me with any questions about the position. John R. Anderson, ja at cmu.edu Prof of Psychology and Computer Science Carnegie Mellon U Pittsburgh, PA 15213 412-417-7008 http://act.psy.cmu.edu/ **************************************************************** 32. Postdoc ACS Lab, Penn State [Ritter] Postdoc position @ Applied Cognitive Science Lab, College of IST, Penn State. We've started a 5-year project on learning, tutoring, and maintenance funded by ONR. It related to the D2P project, Herbal, and work on measuring and modeling learning. We anticipate hiring a post-doc in the summer of 2016. If you are interested, please stay in touch. Work will be with the D2P system (http://acs.ist.psu.edu/projects/d2p). Please direct informal inquiries to Frank.ritter at psu.edu Job ad and formal applications to follow in Summer 2016. **************************************************************** 33. Post-doc, Rice U, due 1 oct 2015 https://jobs.rice.edu/postings/4748 From: Mike Byrne (byrne at rice.edu> Date: Mon, 3 Aug 2015 14:24:45 -0500 To: act-r-users at act-r.psy.cmu.edu The Computer-Human Interaction Laboratory (CHIL) at Rice U is seeking a Postdoctoral Research Fellow to take a leading role in an NSF-funded project on using ACT-R to assess the usability of voting systems, particularly the design of ballots. The position starts October 1, 2015. The position is fully funded for two years, with possible continuation contingent on additional funding. The ideal candidate has (or will have) a PhD in cognitive psychology, cognitive science or computer science, with experience in ACT-R modeling and a strong programming background. Further details can be found at Rice U's jobs web site, https://jobs.rice.edu/postings/4748 . Please direct questions to Mike Byrne at rice.edu. **************************************************************** 34. Postdoc in Games, Play, and Motivational Design @ Northeastern U https://neu.peopleadmin.com/postings/36635 , posted July 2015 Apologies for cross-posting: I you are or know someone who might want to work with me and the fab faculty at the Northeastern U on game design, gameful design, embarrassment, motivation, and all that fun stuff: I have a postdoc position open immediately. Of course, if you have any questions, feel free to ask. # General Info Position Title: Postdoctoral Research Associate Requisition Number: STFR002325 Division/College: College of Arts, Media and Design Location: Boston Main Campus Full-time/Part-time: Full Time Posting Date: 07/13/2015 Link: https://neu.peopleadmin.com/postings/36635 # Responsibilities The Playable Innovative Technologies (PLAIT) Lab at Northeastern U is seeking a Post Doctoral Research Associate (Post Doc) to join our fast-growing game research group (http://www.northeastern.edu/games). The position involves assisting in quantitative and qualitative empirical studies, helping in the design of applied games and playful experiences, and writing research papers around designing for engagement and enjoyment in and beyond game play. Additional responsibilities include grant proposal preparation and laboratory management. Game play is a subject-environment ecology purposefully designed to create enjoyment, motivation, and engagement. The Post Doc will be involved in advancing the state of knowledge of how design features and contextual circumstances together afford motivation and enjoyment in and beyond games, and how to translate such knowledge into a form useful for designers. The Post Doc will help in writing review articles and grant proposals on particular motives. The main responsibilities will be to help set up and run research studies and publish about these. The Post Doc will get the opportunity to become involved in the development of motivational systems and to supervise graduate and undergraduate students. Current example projects are developing a system for automatic difficulty balancing of citizen science games (http://j.mp/1KvX7Ae); identifying how embarrassment acts as a hurdle to engagement and how to reduce it (http://j.mp/1RUOKgu); or understanding how the context of serious games in schools affects their experience and effectiveness. Work will be performed under the guidance of Dr. Sebastian Deterding, an Assistant Prof of Game Design. As most projects will involve collaborations with other PLAIT members and faculty across Northeastern U and around the globe, the Post Doc will have the opportunity to interact with and become visible to a wide variety of researchers and industry partners. # Qualifications We seek candidates who hold a PhD in Human-Computer Interaction (HCI), Cognitive Science, Learning Science, Psychology, Sociology or related areas at the time of starting their position. Successful candidates will have an interdisciplinary background, an clear research interest in games, and expertise in quantitative and qualitative empirical research. Candidates should ideally have experience with game or user experience design, the development of interactive systems, and grant preparation. # Additional Information This is a 1-year position with the possibility of 1 year renewal contingent on funding and performance. We hope to fill this position as soon as possible and we will review applications as they arrive. The position is open until filled. For more information, please contact Dr. Sebastian Deterding (deterding at neu.edu). http://codingconduct.cc **************************************************************** 35. School of Information Tech, Carleton U - Assistant Prof URL too long! Tenure Track Position in HCI, games or Digital Media at Carleton U from CHI-JOBS at LISTSERV.ACM.ORG School of Information Technology - Assistant Prof Carleton U http://carleton.ca/facultyrecruitment/2015/school-of-information-technology-assistant-professor-applications-will-be-considered-until-the-position-has-been-filled/ (Applications will be considered until the position has been filled) The School of Information Technology invites applications from qualified candidates for a Tenure Track appointment at the rank of Assistant Prof beginning 1 Jul 2015. We are interested in candidates with expertise in the area of interactive digital media with a focus on computer games, HCI, multimedia systems and networks. Relevance to big data is desirable. Successful candidates are expected to pursue an active research program, perform both graduate and undergraduate teaching and supervise graduate students (at the Master's and PhD levels), and undergraduate senior projects. Participation in the development and operation of the School is an integral element of the position. The School has 8 full time faculty and offers a Bachelor of Information Technology degree in three distinct programs: Interactive Multimedia and Design, Network Technology, and Photonics and Laser Technology. All programs provide an innovative mix of courses drawing on a variety of disciplines and combine a strong foundation in academic theory with hands-on training. The School also participates in the multidisciplinary graduate program in HCI. New Graduate programs in Digital Media, and Networking; and an undergraduate program in Information Resource Management are under development. Further information on the School of Information Technology can be obtained at www.csit.carleton.ca. More information on the U is available at the Faculty Recruitment and Support Web site: www.carleton.ca/facultyrecruitment. Information about the undergraduate programs can obtained at www.bitdegree.ca A PhD in a field relevant to interactive digital media, multimedia systems, games, HCI or networks is required. The successful candidate will be expected to demonstrate an existing record of research with publications at top-tier international forums; have evidence of strong teaching ability or potential; present a plan to develop an externally-funded program offering exceptional training opportunities and pursue dynamic partnerships with industry and government organizations Applications, including a curriculum vitae and statements of teaching and research interests, should be emailed in one single PDF document to: hiring at csit.carleton.ca. Applicants should also arrange for three letters of reference to be sent either directly or by email. Email letters should include contact information of the author for verification purposes. Applications will not be considered complete until the letters are received. Initial screening of complete applications will begin on May 15, 2015 and continue until an applicant is chosen and the position is filled. Please indicate in your application if you are a Canadian citizen or permanent resident of Canada. -- Carleton U -- Located in Ottawa, Ontario, Carleton U is a dynamic and innovative research and teaching institution committed to developing solutions to real world problems by pushing the boundaries of knowledge and understanding. Its internationally recognized faculty, staff, and researchers provide academic opportunities in more than 65 programs of study to more than 27,000 full- and part-time students, from every province and more than 100 countries around the world. Carleton's creative, interdisciplinary, and international approach to research has led to many significant discoveries and creative work in science and technology, business, governance, public policy, and the arts. Those applicants that are selected for an interview will be requested to contact the Chair of the Search Committee as soon as possible to discuss any accommodation requirements. Arrangements will be made to accommodate requests in a timely manner. All qualified candidates are encouraged to apply. Canadians and permanent residents will be given priority. All positions are subject to budgetary approval. --- Audrey Girouard, PhD Audrey.Girouard at CARLETON.CA School of Information Technology, AP 230 D Carleton U http://cil.csit.carleton.ca/ **************************************************************** 36. 4 postdocs and RAs in AI consciousness, Tokyo http://www.araya.org/eng 4 Postdoctoral and/or RA positions at Araya Brain Imaging, Tokyo, Japan. Four postdoctoral positions (or RA positions) are available to work on a JST (Japan Science and Technology) funded CREST research project on "Towards constructing artificial consciousness based on the integrated information theory (IIT)" (PIs: Kanai, Kawanabe and Maekawa, Co-PIs: Tsuchiya and Oizumi), which will run for 5.5 years from Oct 2015. The initial appointment will be for one year, with renewal based upon satisfactory performance and evaluation. Salary will be commensurate with experience. We are looking for young researchers (i.e., RAs, late-stage candidates for MSc or PhD degrees, or postdoctoral fellows) whose main research interest is the neuronal basis of consciousness, artificial intelligence, and/or the integrated information theory (IIT) of consciousness. There are 4 main projects: 1. Evolving artificial intelligent systems in complex game environments 2. Constructing systems with flexible sensory, cognitive and motor capability using deep neural networks (DNN) 3. Evaluation of integrated information in artificial systems 4. Empirical tests of IIT in real neural systems You will be employed at Araya Brain Imaging (CEO: Kanai) in Japan for all projects, but the actual location of work depends on the project. Projects 1 and 2 will mainly take place within Araya Brain Imaging in Tokyo, Japan, whereas Projects 3 and 4 will be conducted at Monash University, Australia. All projects will be supervised by Ryota Kanai (Araya), Naotsugu Tsuchiya (Monash) and Masafumi Oizumi (Monash and RIKEN, Japan). Researchers in all projects are expected to travel between Japan and Australia frequently (at least twice a year) to maximise interactions within the team. For each project, the exact requirement for experience and skills differ, but excellent programming and mathematical skills (especially familiarity in advanced statistics, machine learning and information theory) will be essential in all projects. Research Assistants are expected to learn those skills upon appointment. Excellence in written and oral English communication skills, as supported by objective publication recorded, is essential for postdoctoral applicants. Most importantly the enthusiasm to solve consciousness is mandatory. Araya Brain Imaging is a rapidly growing start-up located in Tokyo. While being a private company, our priority is the quality in research that drives innovation in neurotechnology. Many of the Araya members have been trained abroad (UK and US) and we are aiming to build an international hub for artificial consciousness. http://www.araya.org/eng Monash University, one of the eight top universities in Australia (G8), is forming a strong cluster of consciousness researchers, ranging from philosophers, neurophysiologists, and psychologists with excellent cognitive neuroscience tools available (simultaneous EEG & fMRI experiments and EEG/TMS & fMRI experiments at Monash Brain Imaging facility, which hosts a research-only MRI scanner, EEG, TMS and eye tracking. http://mbi.monash.edu.au/ Interested candidates are encouraged to send a CV, statement of research accomplishments and interests, PDF copies of representative publications, and contact information for 2 reference letters to: Yoshiko Tan (postdoc at araya.org) for questions and application. Application review will begin immediately and continue until the positions are filled. Ryota Kanai CEO of Araya Brain Imaging **************************************************************** 37. CS at Virginia Tech, tenure track http://www.cs.vt.edu/FacultySearch Virginia Tech's Department of Computer Science is hiring Tenure-Track Faculty positions in areas related to HCI. An Interactive Computing position includes human-computer interaction, graphics, intelligent user interfaces, visualization, visual analytics, human interaction with big data, augmented reality, tangible interfaces, human-robot interaction, game design, creativity support, or computing in the arts and humanities. There are also open positions in Data Analytics and Cyber Security. See details below. Please forward on to others who may be interested. Thanks, -Chris North -------------------- Faculty Search - 2015/16 FACULTY POSITIONS DEPARTMENT OF COMPUTER SCIENCE, http://www.cs.vt.edu/FacultySearch VIRGINIA TECH The Department of Computer Science at Virginia Tech http://www.cs.vt.edu/ seeks applicants for tenure-track faculty positions in three areas: interactive computing, cyber security, and data analytics. Candidates should have a Ph.D. in Computer Science or related field at the time of appointment, a rank-appropriate record of scholarship and collaboration in computing and interdisciplinary areas, sensitivity to issues of diversity in the campus community, and will be required to teach at the undergraduate and/or graduate levels. The position requires occasional travel to professional conferences and meetings. Tenure-track Assistant Prof in Interactive Computing - Blacksburg, VA Strong candidates from any area related to interactive computing are encouraged to apply. Exceptional candidates at higher ranks will also be considered. Candidates who complement existing strengths in human-computer interaction, graphics, intelligent user interfaces, visualization, visual analytics, human interaction with big data, augmented reality, tangible interfaces, human-robot interaction, game design, creativity support, or computing in the arts and humanities are especially encouraged. Candidates have opportunities for collaboration in the interdisciplinary Center for Human-Computer Interaction (http://hci.vt.edu/) that includes 30 faculty across campus, the Institute for Creativity, Arts, and Technology (http://icat.vt.edu/) housed in the new Moss Center for the Arts, and the Discovery Analytics Center (http://dac.cs.vt.edu/). Applications must be submitted online to (http://jobs.vt.edu/) for posting # TR0150108. Applicant screening will begin on November 20, 2015 and continue until each position is filled. Inquiries should be directed to Dr. Chris North, Search Committee Chair, north at vt.edu. Tenure-track Assistant Prof in Cyber Security - Blacksburg, VA Candidates with expertise in cyber security, including technologies for and applications in information security, network security, and trustworthy computing are encouraged to apply. Candidates focusing on security issues of cyber-physical systems, embedded systems, sensor networks, robotics, Internet of Things (IoT), etc. are especially encouraged. The candidate will join the CS department and also participate in an interdisciplinary team of five faculty in Advanced Manufacturing and share common space and equipment, leveraging established labs and the Commonwealth Center for Advanced Manufacturing (http://www.ccam-va.com/>www.ccam-va.com/), a public-private partnership in Virginia. There is an active group of cyber security faculty in CS and ECE departments collaborating in research as well as graduate and undergraduate education (see: http://www.cyber.vt.edu/). Applications must be submitted online to http://jobs.vt.edu/ for posting # TR0150107. Applicant screening will begin on November 20, 2015 and continue until the position is filled. Inquiries should be directed to Dr. Ali Butt, Search Committee Chair, butta at cs.vt.edu Associate/Full Prof in Data Analytics - National Capital Region (NCR) Candidates with research depth and breadth in data analytics, data mining, "big data", or data science are encouraged to apply. Candidates working at the intersection of data analytics and cyber-security and at the intersection of data analytics and urban computing are especially encouraged. Candidates should present a proven ability to initiate and sustain collaborations within computing as well as with application specialists. The department is home to the Discovery Analytics Center (http://dac.cs.vt.edu/) that leads "big data" research on campus. The successful candidate will contribute to the research and graduate programs in the NCR and collaborate with faculty at Virginia Tech's campus in Blacksburg, VA. The NCR campus (http://www.ncr.vt.edu/) is located near the Washington D.C./Falls Church area and houses the Virginia Tech Research Center (http://www.ncr.vt.edu/arlington) in Arlington, VA. Applications must be submitted online to http://jobs.vt.edu/ for posting # TR0150106. Applicant screening will begin on November 20, 2015 and continue until the position is filled. Inquiries should be directed to Dr. Naren Ramakrishnan, Search Committee Chair, naren at cs.vt.edu. The Department of Computer Science has 40 research oriented tenure-track faculty and ~10 postdocs/research faculty. There are a total 12 NSF/DOE CAREER awardees in the department. Research expenditures for FY2015 were $412 thousand per tenure-track faculty member (i.e., a total of $15.5 million); total research funding at the beginning of FY2015 was $43.4 million. BS, MS, and PhD degrees are offered, with a growing enrollment of over 610 undergraduate majors (14% women) and over 270 PhD/MS students. In 2010, CS at VT was ranked 5th in the country in recruiting quality of CS undergrads by the Wall Street Journal. The department is in the College of Engineering, whose undergraduate program was ranked 8th and graduate program was ranked 12th among public engineering schools in 2014 by U.S. News & World Report. Early applications are encouraged. We welcome applications from women or minorities. Salary for suitably qualified applicants is competitive and commensurate with experience. Selected candidates must pass a criminal background check prior to employment. **************************************************************** 38. Lecturer/SL in games, U. of Lincoln, England http://games.lincoln.ac.uk/. The U of Lincoln, UK, is looking for a Lecturer / Senior Lecturer (equiv. Asst / Assoc Prof in the US & Canada) in Games Computing, possibly with a research background in HCI. The full posting is available via https://jobs.lincoln.ac.uk/vacancy.aspx?ref=COS235, and more info on our more recent games research is available at http://games.lincoln.ac.uk/. **************************************************************** 39. Information Science, UC/Boulder, due 2 Nov 2015 http://www.jobsatcu.com:80/postings/107999, position number F02925. U of Colorado Boulder Dept of Information Science The newly established Department of Information Science in the College of Media, Communication and Information at the University of Colorado Boulder (CU) seeks outstanding candidates for multiple tenure-track positions at all ranks. Successful candidates will help shape the future of Information Science--as a Department and as a discipline--and support the growth trajectory of the new College. The Department takes a progressive approach to the discipline of Information Science, focusing on human-data interaction in all its diverse forms and contexts. The College of Media, Communication and Information (CMCI) is the first new college at CU in 53 years. CMCI is at the forefront of the revolution in communication and digital technology, and is a distinctive, collaborative, interdisciplinary and entrepreneurial enterprise where students engage with world-class faculty to learn, create and analyze media content in its many forms. CMCI is establishing a new standard for teaching and scholarship in communication, media and information. The roster of the Department's founding faculty reveals a diversity of backgrounds and interests that constitutes a shared commitment to progressive visions of Information Science. Our current faculty have training in multiple disciplines that include Cognitive Science, Computer Science, Computer-Supported Cooperative Work, Data Science, Education, Human-Computer Interaction, Humanities, Informatics, Law, Media Studies, and Psychology. Furthermore, the Department sits in a College that includes faculty with whom we have close relationships in Advertising, Public Relations and Media Design; Communication; Critical Media Practices; Intermedia Art, Writing and Performance; Journalism; and Media Studies. In addition, the Department's research and educational missions are enhanced by multiple cross-disciplinary relationships across the university at large. Finally, the Department of Information Science collaborates extensively with the Department of Computer Science and is a member of the campus-wide Human-Centered Computing community. Candidates must have a Ph.D. in Information Science, Computer Science, or a related discipline. Candidates must show evidence of or an ability to develop an independent research program; a commitment to teaching and creating a diverse educational environment; and a desire to contribute to a rapidly expanding institutional environment. Applications will be evaluated beginning 2 Nov 2015. The search will continue until positions are filled. Applications must include a letter of interest specifying an area of specialization and how that relates to the broader mission of information science; curriculum vitae; statements of research and teaching; and contact information for at least three references. CU Boulder is a research university with about 25,000 undergraduates and 6,000 graduate students. The city of Boulder is a high-tech hub, with the highest concentration of tech startups in the US at 2.5 times the density of Silicon Valley, according to the Kauffman Foundation. Boulder is also home to 4 national labs--NCAR, NIST, NOAA, and NREL--which support additional opportunities for scientific and technical collaboration. Located at the base of the Rocky Mountains yet only 27 miles from Denver, Boulder is frequently named one of the most desirable places in the US to live. The University of Colorado is an Equal Opportunity Employer committed to building a diverse workforce. We encourage applications from women, racial and ethnic minorities, individuals with disabilities and veterans. Alternative formats of this ad can be provided upon request for individuals with disabilities by contacting the ADA Coordinator at hr-ada at colorado.edu. Applications must be submitted online at http://www.jobsatcu.com:80/postings/107999, position number F02925. ============================ Leysia Palen Prof of Computer Science Prof and Founding Chair of Information Science University of Colorado, Boulder http://www.cs.colorado.edu/~palen/ **************************************************************** 40. CS at U Central FL, tenure track https://www.jobswithucf.com/postings/43185 The Computer Science Division in the College of Engineering and Computer Science at UCF invites applications for three tenure-track (or tenured) positions at the assistant or associate prof level, starting Fall 2016. Successful candidates will have a record of high-quality publications and be recognized for their expertise and the impact of their research. We welcome exceptional applicants from all CS research areas though we are particularly interested in applicants in the following areas: cyber security, algorithms and the theory of computing, and human-computer interaction. Computer Science (CS) at UCF has a rapidly-growing educational and research program with over $4.5 million in research contracts and expenditures annually and over 215 graduate students. Computer Science has strong areas of research in Computer Vision, Machine Learning, Virtual and Mixed Reality, Big Data, and HCI. The CS division is also well-known for the success of its two-time defending National Champion Cyber Defense team and the exceptional record of its programming teams in regional, national, and world competitions. More information about the Computer Science division can be found at http://www.cs.ucf.edu/. UCF has the top-tier Carnegie Foundation designation of a "very high research activity" university. Research sponsors include NSF, NIH, NASA, DOT, DARPA, ONR, and other agencies of the DOD. Industry sponsors include AMD, Boeing, Canon, Electronic Arts, General Dynamics, Harris, Hitachi, Intel, Lockheed Martin, Oracle, SAIC, Symantec, Toyota USA, and Walt Disney World, as well as local startups. UCF is the nation's second largest university and is ranked by U.S. News and World Report as the third most up-and-coming university in terms of innovative changes in the areas of academics, faculty, and student life. Located in Orlando, UCF is at the center of the I-4 High Tech Corridor. The corridor has an excellent industrial base that includes software, defense, space, simulation and training, and a world-renowned entertainment industry. Adjacent to UCF is a thriving research park that hosts more than 100 high-technology companies and the UCF Institute for Simulation and Training. The Central Florida area is designated by the state of Florida as the Center of Excellence in Modeling and Simulation. UCF also features the College of Medicine (COM) which opened in 2009 and is fully accredited. Great weather, easy access to the seashore, one of the largest convention centers in the nation, and one of the world's best airports are just a few features that make Orlando an ideal location. To apply: https://www.jobswithucf.com/postings/43185 **************************************************************** 41. Assoc/Full Prof, Learning Science/EDM/LAK at New York U http://steinhardt.nyu.edu/faculty_positions/alt/ect_associate_tenured Assoc/Full Prof, Learning Science/Education Communication and Technology, Tenured/Tenure-Track View ad online: http://steinhardt.nyu.edu/faculty_positions/alt/ect_associate_tenured The (http://steinhardt.nyu.edu/alt/ect) Educational Communication and Technology program in the Steinhardt School of Culture, Education, and Human Development at New York University invites applications and nominations for an open rank, tenured/tenure-track position in the area of learning, measurement, and assessment with digital media with primary responsibilities in the graduate program. The ECT programs--the Ph.D. in Educational Communication and Technology (ECT), the M.A. and Advanced Certificate in Digital Media Design for Learning (DMDL), and M.S. in Games for Learning (G4L)--offer graduate instruction in the design, development, implementation, and evaluation of a broad range of digital media-based learning environments, including simulation and games, mobile apps, and online experiences. The programs aspire to contribute to the ideals of social equity and an informed and participatory citizenry through design and scholarship. Qualifications An earned doctorate is required in Learning Sciences, Educational Psychology, Cognitive Science, Educational Technology, Human-Computer Interaction, Computer Science, Data Science, or a related field. Candidates should have a strong program of theory-based research on the design or use of digital media for learning, measurement, or assessment that advances the field. Research specializations that include new and emerging learning-related areas, such as educational data mining, learning analytics, or visual analytics, are of particular interest. The ECT programs are interested in theoretical and applied research on learning in traditional and nontraditional settings and learning outcomes. Responsibilities In addition to service at the program, school, and university levels, responsibilities will include: (1) engagement in an active program of scholarly research related to the design, use, and study of digital media for learning, teaching, or assessment; (2) design and teaching of courses primarily at the graduate level; (3) advisement and supervision of undergraduates and of graduate student masters theses and doctoral dissertations; (4) development of research grant proposals to appropriate federal agencies, foundations, and private donors. NYU's dynamic Global Network University includes NYU Abu Dhabi, NYU Shanghai, and international programs and academic centers around the world. NYU Steinhardt faculty may have the opportunity to engage in research and teaching at these global study and research sites. New York University is an equal opportunity employer. NYU does not discriminate due to race, color, creed, religion, sex, sexual orientation, gender and/or gender identity or expression, marital or parental status, national origin, ethnicity, citizenship status, veteran or military status, age, disability, unemployment status or any other legally protected basis, and to the extent permitted by law. Qualified candidates of diverse ethnic and racial backgrounds are encouraged to apply for vacant positions at all levels. Applications Please apply online with a letter of application, curriculum vitae, up to three research manuscripts or journal articles, and the names and contact information of three references: http://www.nyuopsearch.com/applicants/Central?quickFind=52653 Inquiries and requests for further information should be directed to Jan L. Plass, ECT Program Director and Search Committee Chair, jan.plass at nyu.edu Information about the ECT Programs can be found at: http://steinhardt.nyu.edu/alt/ect Reviewing of applications will begin on November 1, 2015 and will continue until the position is filled. The starting date for the position is September 1, 2016, and the appointment is on a nine-month schedule. Salary is competitive and commensurate with experience. NYU provides a competitive benefits package. __________________________________________________________________________________ Jan L. Plass, Paulette Goddard Prof of Digital Media and Learning Sciences Director, Programs in (http://steinhardt.nyu.edu/alt/ect/ms) Games for Learning (MS) (http://steinhardt.nyu.edu/alt/ect/ma) Digital Media Design for Learning (MA) (http://steinhardt.nyu.edu/alt/ect/phd) Educational Communication and Technology (PhD) Director, (http://create.nyu.edu/) CREATE Consortium for Research and Evaluation of Advanced Technologies in Education Co-Director, G4LI Institute for Games for Learning MAGNET (Media and Games Network) Steinhardt School of Culture, Education, and Human Development New York University Access our simulations and games using (http://create.nyu.edu/dream) DREAM **************************************************************** 42. Open-Rank Faculty Position in Quan Psy, U of Mich https://psychology-lsa.applicantstack.com/x/apply/a2s9hqlu3cgv The Department of Psychology at the University of Michigan, Ann Arbor, invites applications for a tenure-track faculty position. The expected start date is 1 Sep 2016. The primary criterion for appointment is excellence in research and teaching. We are especially interested in candidates whose research program contributes to the development of new quantitative methods. Although the specific research area is open, we are especially interested in applicants for whom quantitative theoretical modeling, which could include computational models, analytic models, statistical models or psychometric models, is an essential part of their research program. The successful candidate will participate in the teaching rotation of graduate-level statistics and methods. Quantitative psychologists from all areas of psychology and related disciplines are encouraged to apply. This is a university-year appointment. Successful candidates must have a Ph.D. in a relevant discipline (e.g. Bio-statistics, Psychology) by the time the position starts, and a commitment to undergraduate and graduate teaching. New faculty hired at the Assistant Prof level will be expected to establish an independent research program. Please submit a letter of intent, curriculum vitae, a statement of current and future research plans, a statement of teaching philosophy and experience, and evidence of teaching excellence (if any). Applicants should also request at least three letters of recommendation from referees. All materials should be uploaded by September 30, 2015 as a single PDF attachment to https://psychology-lsa.applicantstack.com/x/apply/a2s9hqlu3cgv. For inquiries about the positions please contact Richard Gonzalez (gonzo at umich.edu). The University of Michigan is an equal opportunity/affirmative action employer. Qualified women and minority candidates are encouraged to apply. The University is supportive of the needs of dual-career couples. Richard L. Lewis rickl at umich.edu Prof http://www-personal.umich.edu/~rickl/ Department of Psychology (734) 763-1466 University of Michigan Ann Arbor, MI 48109 **************************************************************** 43. Senior Neuroscientists, Virginia Tech Senior Neuroscientist. Department of Psychology at Virginia Tech (http://www.psyc.vt.edu) seeks a senior neuroscientist to complement recent growth in neuroscience in the department, college, and throughout the university. Exceptional advanced and senior candidates with a focus on human systems are encouraged to apply. Appointment will be made at the Assoc Prof or Prof level, with tenure. The successful candidate will be expected to maintain a vigorous research program, teach effectively at the undergraduate and graduate levels, and participate in professional and university service. Candidates will have opportunities for collaboration with many other established neuroscientists on campus and at the Virginia Tech Carilion Research Institute (http://research.vtc.vt.edu). There is also the potential to collaborate with new neuroscientists who will be hired by the Virginia Tech School of Neuroscience (launch date expected in 2016; http://www.science.vt.edu/ais/neuro). Questions regarding the Senior Neuroscientist in Psychology position can be directed to Prof. Martha Ann Bell, Chair of Neuroscience Search, Psychology, Virginia Tech, Blacksburg, VA 24061, (540) 231-2546, mabell at vt.edu. More detail and the application process can be found at http://www.jobs.vt.edu (reference posting #TR0150115). Review of applications will begin on December 1, 2015, and continue until the position is filled. **************************************************************** 44. Comp. neuroscience positions at Sandia National Labs [this has passed, but there seem to commonly be positions there] http://www.sandia.gov/careers/ From: Chance, Frances S. (fschanc at sandia.gov) comp-neuro at neuroinf.org We are seeking computational neuroscientists to join our interdisciplinary research program in understanding cognitive function at the neural circuit level. Example research topics of interest include understanding neural circuit function, neural basis of perception, decision-making, learning and memory, and the development and validation of large-scale high-fidelity neural simulations. Multiple positions for varying levels of experience are available. To apply, visit http://www.sandia.gov/careers/ and click 'View All Jobs'. Type the indicated Job ID into the Keywords box to find the appropriate posting. For questions please contact Frances Chance (fschanc at sandia.gov), Brad Aimone (jbaimon at sandia.gov), or Glory Emmanuel (gremman at sandia.gov). Technical Staff (Job ID 647552): The successful applicant for our technical staff position should have a strong background in neuroscience (as evidenced by a PhD in neuroscience, cognitive science, machine learning, or a related field), and experience with current neuroscience research methods and data analysis. The successful applicant will be expected to contribute to ongoing projects as well as to develop new lines of research and pursue new funding opportunities. Experience should be commensurate with a beginning assistant prof or higher. Postdoctoral Position in Computational Neuroscience (Job ID 647564): An advanced degree (PhD or equivalent) in computational neuroscience or a related area is required for this position, as is a strong record of academic performance and publications. Other required qualifications include competence in C, C++, Matlab, Python, or a related programming language, and excellent written- and oral-communication skills. Postdoctoral Position in Machine Learning/Computer Science (Job ID 647563): An advanced degree (PhD or equivalent) in mathematics or computer science or related area is required for this position; with a preference for those with experience in examining neural computation or developing machine learning approaches based on neural inspiration. Those with focus on mathematics research areas pertinent to neural systems, such as studies of large dynamical systems, high-dimensional statistics, and dimensionality reduction, are particularly encouraged to apply. A strong record of academic performance and publications is required. Other required qualifications include competence in C, C++, Matlab, Python, or a related programming language, and excellent written- and oral-communication skills. **************************************************************** 45. Academic Fellow in Machine Learning, Leeds, due 30sep15 https://jobs.leeds.ac.uk/vacancy.aspx?ref=ENGCP1012 University Academic Fellow in Machine Learning (Tenure Track) -- 250 Great Minds https://jobs.leeds.ac.uk/vacancy.aspx?ref=ENGCP1012 (DEADLINE: 30:09:2015, note more positions will be open) The University of Leeds wants to recruit 250 University Academic Fellows by 2017 who have the potential to make a major contribution to the University's academic performance and standing -- see http://250greatminds.leeds.ac.uk/. Join us and you will be supported by a structured five year fellowship development programme leading to an Associate Prof role. We are currently advertising for a UAF in Machine Learning. The School of Computing's interests in Machine Learning range from the foundations of learning to applications in data analytics; health, commerce, biology, engineering; and robotics; control, smart factories, security, biological systems. The School has established an international leadership in aspects of machine learning, most notably through spatial reasoning, ontological alignment, and cognitive vision. We are seeking to strengthen our expertise in this field, through an outstanding researcher with the drive and ambition to eventually assume leadership of this activity in the School. We welcome applicants from all aspects of machine learning, but in particular candidates whose research aligns with the major strategic areas of robotics or data analytics. Grade: 8 Salary: ?38k to ?45k Closing Date: 30 Sep 2015 Reference: ENGCP1012 Please apply via: https://jobs.leeds.ac.uk/vacancy.aspx?ref=ENGCP1012 **************************************************************** 46. Tenure Track Asst Prof in Cog Psychology at Syracuse https://www.sujobopps.com/postings/61035 As part of our multiyear hiring plan, the Dept of Psychology at Syracuse U invites applications for a full time tenure-track position in Cognitive Psychology to join the Cognition, Brain, & Behavior (CBB) area. The successful candidate is expected to pursue an exceptional program of research using rigorous methods and driven by a strong theoretical foundation to understand fundamental mechanisms underlying cognition. Candidates with a program of research utilizing outstanding quantitative skills will receive special consideration. Applicants for the position should have a Ph.D. in Cognitive Psychology, Cognitive Science, or a related field. Successful candidates will show evidence of (1) high quality scholarship and the potential to build a vigorous program of funded research (2) teaching promise at the undergraduate and graduate levels and (3) promise of excellence in engaging graduate and undergraduate students in research. Responsibilities include maintaining an active program of research, teaching and advising at the graduate and undergraduate levels, and contributing to the CBB program. Information about the department may be found at http://psychology.syr.edu/. CBB has collaborations with the Interdisciplinary Neuroscience program http://neuroscience.syr.edu/index.html. Review of applications will begin 1 Nov 2015 and will continue until the position is filled. The university and department have a strong commitment to achieving diversity among faculty and staff. Syracuse U is an equal opportunity, affirmative-action institution. We are particularly interested in receiving applications from members of underrepresented groups and strongly encourage women and persons of color to apply for these positions. The Dept of Psychology and broader Syracuse community provides a rich and supportive environment for inclusive research involving ethnically and economically diverse populations. Syracuse is located in beautiful Upstate New York. The city and surrounding areas offer outstanding school systems, a modest cost of living, proximity to nature (Adirondack Mountains, Thousand Islands, Lake Ontario, and the Finger Lakes) and easy access to major eastern cities. Several major medical centers, including SUNY Upstate Medical Center and the Syracuse VA Medical Center, are in close proximity to Syracuse University and offer opportunities for interdisciplinary research. Applicants must complete a brief online faculty application at https://www.sujobopps.com/postings/61035. Attach electronic copies of your curriculum vitae and a cover letter describing your research and teaching accomplishments and interests and one representative paper. Three letters of recommendation are required. Detailed instructions for uploading their confidential recommendation letter into the system will be sent to references identified in your application. Applications will be reviewed as they are received and will continue until the position is filled. **************************************************************** 47. Director, Krasnow Institute for Advanced Study https://jobs.gmu.edu/postings/36230 Director, Krasnow Institute for Advanced Study George Mason U, a public research university located in Fairfax County, Va., is seeking the next Director for the Krasnow Institute for Advanced Study. The Krasnow Institute seeks to expand understanding of mind, brain, and complex adaptive systems by conducting advanced interdisciplinary research. The Krasnow Institute plays a key role in achieving the university's goal of increased prominence through research. For additional information, please see https://krasnow.gmu.edu/. Responsibilities: The Director of the Krasnow Institute provides overall research and administrative leadership for the institute and reports directly to the Executive Vice President/Provost. The Director is responsible for working closely with faculty in setting the research agenda for the institute--maintaining and enhancing the quality of the institute, working collaboratively with faculty and staff to continuously improve research programs, developing and sustaining relationships between other academic units on campus and in the community, enhancing the reputation of the institute to national and international constituencies, and maintaining sound fiscal management. The Director also will oversee the generation of external resources, including sponsored research funding, philanthropic support, and major gifts. The Krasnow Institute is part of George Mason, which has grown in size, stature and national rankings since its birth less than a half-century ago. Mason is currently the largest and most diverse public university in Virginia, with over 33,000 students from all 50 states and over 135 countries studying over 200 degree programs at campuses in Arlington, Fairfax, and Prince William counties with more than 1,400 faculty members. George Mason University is an innovative, entrepreneurial institution with global distinction in a range of academic fields. Mason's reach is both deep and broad. Its location near Washington, D.C., affords unique resources and opportunities for partnership with external organizations. The university is within 20 miles of over 30 universities and premiere research institutions, and federal agencies and federal laboratories. Fairfax also boasts some of the finest public schools in the country, such as Thomas Jefferson High School for Science and Technology, numerous performing arts and health care facilities, and over 30,000 acres of public parklands to provide a unique quality of life. Qualifications: Applicants must have the ability to lead and manage an interdisciplinary organization that successfully integrates cutting edge research and academic activities relevant to the institute's mission. Applicants should also have demonstrated experience facilitating productive partnerships and a positive reputation with the external community. Applicants for the position must: Hold an earned terminal degree (e.g., Ph.D. or M.D.); Have significant research accomplishments; and Have academic experience in a scientific field connected to the mission of the institute. The ideal candidate will also have: A strong record of accomplishments consistent with tenure at the rank of full prof at a research university; Excellent interpersonal skills; and Demonstrated experience in academic program leadership, and university program development and fundraising. **************************************************************** 48. Computational Social Science, GMU, Junior position https://jobs.gmu.edu/postings/36295 Tenure-Track Assistant Prof, Computational Social Science George Mason U's Computational and Data Sciences (CDS) Department in the College of Science invites applicants for a full-time, tenure-track faculty position at the Assistant Prof level. Responsibilities: Beginning Fall 2016, this position is intended to primarily support the Computational Social Science (CSS) Program within CDS, including support of the Ph.D. degree in CSS, a master's degree in interdisciplinary studies, and a CSS certificate. This position will also support undergraduate programs that are currently under development. Qualifications: Potential for success in both research and teaching are the primary criteria for this position. Applicants should have a promising research record, with a deep knowledge of and interest in computation as applied to one or more of the social sciences. While we are open to expertise in all areas of computational social science, we are particularly interested in social network specialists interested in both theory and data. Applicants must have a Ph.D. (expected completion by Aug 2016 is acceptable) from an accredited institution. About the Program: Methodologically, the CSS Program focuses on data-driven social science models using social network and agent-based computational approaches from a complexity perspective. Current faculty members have domain expertise in economics and finance, political science and international relations, geography and geographic information systems, land use and cover change, and public policy. As one of the first programs of its type in the world, CSS has had significant success in both research and professional placement. Our students come from all over the world (the Americas, Europe, Africa, Asia and Australia) and have been placed at a variety of top universities (e.g., University of Oxford, University College London), at government agencies, as well as in the private sector, including start-up companies. **************************************************************** -30- If you have read this far, try out this podcast on Canadian news: http://podcast.cbc.ca/mp3/podcasts/thisisthat_20151008_27451.mp3 From ilia at cs.rhul.ac.uk Tue Nov 3 09:14:59 2015 From: ilia at cs.rhul.ac.uk (ilia) Date: Tue, 3 Nov 2015 14:14:59 +0000 Subject: Connectionists: Post-Doctoral Position in Malware Detection at Royal Holloway, University of London: Deadline Nov 30 @ 11:59pm (GMT) Message-ID: <00108597f6929e2ff0a938ed04c0ba1d@mailhost.cs.rhul.ac.uk> -----Original Message----- From: Lorenzo Cavallaro [mailto:lorenzo.cavallaro at rhul.ac.uk] Sent: 02 November 2015 22:29 To: staff at cs.rhul.ac.uk Subject: Post-Doctoral Position in Malware Detection at Royal Holloway, University of London: Deadline Nov 30 @ 11:59pm (GMT) Dear CS Staff, (apologies for multiple copies, please forward to whomever you believe could be interested) The recently-established Systems Security Research Lab (S2Lab, http://s2lab.isg.rhul.ac.uk), led by Dr Lorenzo Cavallaro within the Information Security Group (ISG) at Royal Holloway, University of London, is seeking to appoint 1 Post-Doctoral Research Assistant (PDRA) to work on the EPSRC-funded project ?Mining the Network Behaviour of Bots?, part of the CEReS call (http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/K033344/1). The project aims at building on machine learning techniques to characterize the core network behaviors of malware, with a particular emphasis on bot-like threats. Most of the machine learning-based approaches applied to this context so far report high performance metrics although marginal, if any, effort has been put on providing quality metrics to assess the actual machine learning tasks and provide supporting evidence on its actual strengths (or weaknesses) once deployed in the wild. Within the project, we have been working towards addressing such shortcomings and are building detection models to classify and detect bot-like behaviors with (statistical) confidence, by analysing different network data sources, such as passive DNS traffic (to characterize DGA-based botnets), and malicious/benign network traces. The PI research expertise is in systems security and malware analysis and detection; in addition, 4 co-investigators and 1 PDRA with expertise in machine learning, bioinformatics, and network analysis, make up the whole team. The ideal candidate must have earned (or close to defend) a PhD in Computer Science or related discipline, with a particular emphasis on Computer Security. In addition, the candidate must have a strong research track record and a proven ability to find innovative solutions. The co-investigators and the machine learning PDRA are focused on devising novel machine learning technique, while the ideal candidate for this post must further be self-motivated, possess development skills, and be experienced in systems security and malware analysis / detection. Having explored machine learning in particular to tackle security aspects is highly desirable. The main responsibilities of the post are: - Developing novel analysis to mine and model network and host behaviors - Developing novel techniques to detect malicious network behavior - Developing research objectives and publishing research - Planning own day to day research activity - Attending project meetings, discussing research with collaborative partners, especially within the Systems Security Research Lab - Limited supervision by the PI - Attending conferences and presenting reearch papers - Providing input to project web sites and other dissemination and engagement forums; The Systems Security Research Lab is currently exploring a number of research projects, including Android security and techniques to automatically generate exploit for memory corruption vulnerabilities. Such projects inherently build on machine learning (and program analysis) and further collaboration between this project and S2Lab research activities at large is, of course, encouraged. This is a full time post, available from Dec 14, 2015 or shortly thereafter, for a fixed term period of 12 months. This post is based in Egham, Surrey, where Royal Holloway, University of London is situated in a beautiful, leafy campus near to Windsor Great Park and within commuting distance from central London. Royal Holloway University of London is an Academic Centre of Excellence in Cyber Security Research and Education only one of the two Higher Education institutions awarded with a Centre for Doctoral Training in Cyber Security. For an informal discussion about the post, please contact the PI, Dr Lorenzo Cavallaro, at lorenzo.cavallaro at rhul.ac.uk or +44 (0)1784 414381. Please apply online at https://goo.gl/RjYcZ2 --- applications must inlcude (i) a CV, (ii) a cover letter outlining how you fit into the project, and (iii) a personal research statement. Applications with missing documentation may not be fully considered. To view further details of this post and to apply please visit https://jobs.royalholloway.ac.uk. The RHUL Recruitment Team can be contacted with queries by email at: recruitment at rhul.ac.uk or via telephone on: +44 (0)1784 41 4241. Please quote the reference: 1115-336 Closing Date: Midnight (GMT), 30 November 2015 Interview Date: 7 December 2015 Cheers, Lorenzo From jpfister at ini.uzh.ch Wed Nov 4 03:34:43 2015 From: jpfister at ini.uzh.ch (Jean-Pascal Pfister) Date: Wed, 4 Nov 2015 09:34:43 +0100 Subject: Connectionists: PhD position at the University of Zurich / ETH Zurich Message-ID: <1382E082-A5D0-4755-BD5A-93A3170ACFBC@ini.uzh.ch> Applications are invited for one PhD student position at the University of Zurich/ETH Zurich. The position is funded by a SystemsX grant from the Swiss National Science Foundation. The project is entitled "Baysian learning of quantal parameters at single synapse resolution", and involves both experimentation and theory. Most models of synaptic transmission assume that all synapses between two neurons are identical. However, there is experimental evidence for significant heterogeneity in synaptic transmission between synapses. The major goal of this project is the development of an approach that allows for quantification of functional synaptic parameters incorporating single synapse heterogeneity. Half of the project will be devoted to experiments (electrophysiological and optophysiological investigation of synaptic transmission at Drosophila synapses), while the second part will involve modeling (Bayesian learning). The PhD student will be co-supervised by Prof. Martin M?ller (Institute of Molecular Life Sciences, University of Zurich) and Prof. Jean-Pascal Pfister (Institute of Neuroinformatics, ETH and University of Zurich). Both institutes offer ideal environments for performing theory-driven experiments due to the presence of many theoretical and experimental labs. The candidate should hold a Master degree in Physics, Biology, Neuroscience, Computational Neuroscience or a related field. She/he should have keen interests in theory-driven experiments. Preference will be given to candidates with prior experience in an experimental lab, strong mathematical or good programming skills. The applicant should submit a CV (including contacts of two referees), a statement of research interests, marks obtained for the Master, and the abstract of the Master thesis in electronic format to Jean-Pascal Pfister (jpfister at ini.uzh.ch) or Martin M?ller (Martin.Mueller at imls.uzh.ch). The position is offered for a period of three years and can be extended. The preferred starting date is January 2016. Salary scale is provided by the Swiss National Science Foundation (http://www.snf.ch/SiteCollectionDocuments/allg_doktorierende_e.pdf). Deadline for application is the 30th of November 2015 or until the position is filled. +++ Martin M?ller SNSF Assistant Professor Institute of Molecular Life Sciences University of Zurich Y55-K78 Winterthurerstrasse 190 8057 Zurich Switzerland www.imls.uzh.ch/mueller.html www.neuroscience.ethz.ch/research/molecular_cellular/mueller +++ Jean-Pascal Pfister SNSF Assistant Professor Theoretical Neuroscience Group Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 8057 Zurich, Switzerland www.ini.uzh.ch/~jpfister www.neuroscience.ethz.ch/research/computation_modeling/pfister -------------- next part -------------- An HTML attachment was scrubbed... URL: From mdudik at microsoft.com Mon Nov 2 20:20:47 2015 From: mdudik at microsoft.com (Miro Dudik) Date: Tue, 3 Nov 2015 01:20:47 +0000 Subject: Connectionists: Postdoc positions in machine learning at MSR NYC Message-ID: Microsoft Research NYC seeks outstanding applicants for a postdoctoral researcher in the area of machine learning or a related field, such as statistics, computer vision or natural language processing. Deadline for full consideration: January 1, 2016. Application instructions are at the end of this e-mail. For additional positions see http://aka.ms/msrnyc Microsoft Research offers an exhilarating and thriving environment for cutting-edge, multidisciplinary research, both theoretical and applied, with access to an extraordinary diversity of big and small data sources, an open publications policy, and close links to top academic institutions around the world. We seek applicants from all areas of machine learning and related fields with a passion and demonstrated ability for independent research, including a strong publication record at top research venues. The start date for this position is July 5, 2016. Postdoc positions at Microsoft Research provide emerging scholars an opportunity to develop their research careers as members of a very active machine learning community at a world-class research organization. Postdocs in our lab are encouraged to define their own research agenda and to demonstrate their ability to drive forward an effective program of research. They may also get the chance to see their ideas realized in products and services that will be used worldwide. Microsoft Research New York City is the newest MSR lab, comprising thirty full-time researchers and postdocs working in machine learning, systems, computational social science, algorithmic economics, information retrieval, and social media. The lab is highly collaborative and interdisciplinary, and is actively engaged with the local academic and tech communities. Examples of current machine learning projects include: * Active learning: When labeled data is scarce and unlabeled data abundant, how can machine-learning algorithms adaptively request labels to attain good generalization? (Alekh Agarwal, Tzu-Kuo Huang, John Langford, Rob Schapire) * Exploration and incentives: How can algorithms learn over time from partial information provided by self-interested agents, e.g., how can products be dynamically priced? (Alex Slivkins, Vasilis Syrgkanis, Jenn Wortman Vaughan) * Contextual bandits: What are the theoretical foundations and practical algorithms for learning over the course of interaction with a user in the presence of contextual information? (Alekh Agarwal, Miro Dudik, John Langford, Rob Schapire, Alex Slivkins) * Crowdsourcing and human computation: How can machine-learning techniques be leveraged to design more efficient and effective crowdsourcing systems? (Alex Slivkins, Jenn Wortman Vaughan) * Game theory and machine learning: How can machine-learning methods be used in settings involving interaction between players? And how can ideas from game theory be used in the design of machine-learning algorithms? (Alekh Agarwal, Miro Dudik, Rob Schapire, Alex Slivkins, Vasilis Syrgkanis) * Learning reductions: Every real-world learning problem is a little bit different from every other, so how can we solve them all without reinventing the field of machine learning for every problem? (Alekh Agarwal, John Langford, Rob Schapire) * Logarithmic-time prediction: Whether recognizing every face on the planet or choosing the optimal search result, efficiently choosing from a large set is critical for an effective learning algorithm. What techniques can accomplish this? (John Langford) * Online learning: How can we design machine-learning algorithms for sequentially-arriving data to achieve robust theoretical guarantees and an ability to deploy at scale? (Alekh Agarwal, Miro Dudik, John Langford, Rob Schapire) * Prediction markets: How can we use economic incentives to elicit information and aggregate beliefs from a pool of experts? (Miro Dudik, Jenn Wortman Vaughan) * Reinforcement learning: How can we learn to behave nearly optimally in a complex world with an evolving state? (Alekh Agarwal, Fernando Diaz, Akshay Krishnamurthy, John Langford, Rob Schapire) * Structured prediction: What is a general-purpose approach to effectively and efficiently making a joint set of predictions (as in parsing, machine translation, etc.)? (Alekh Agarwal, Akshay Krishnamurthy, John Langford) For a list of recent publications, please see the MSR NYC Machine Learning website: http://research.microsoft.com/mlnyc Postdocs receive a competitive salary and benefits package, and are eligible for relocation expenses. Postdocs are typically hired for a two-year term appointment following the academic calendar, starting in July 2016. Applicants must have completed the requirements for a PhD, including final submission of their dissertation, prior to joining Microsoft Research. Applicants with tenure-track offers from other institutions will be considered, provided they are able to defer their start date to accept our position. HOW TO APPLY To apply, submit an online application on the Microsoft Research Careers website: http://research.microsoft.com/en-us/jobs/fulltime/apply_researcher.aspx For full consideration, all materials, including reference letters, need to be received by January 1, 2016. In completing your application, please be sure to follow these additional instructions: 1. In addition to submitting your CV and the names of three referees (including your dissertation advisor) as required by the online application, please also upload the following three attachments: * two conference or journal articles, book chapters, or equivalent writing samples (uploaded as two separate attachments); * an academic research statement (approximately 3-4 pages) that outlines your research achievements and agenda. 2. Indicate that your research area of interest is "Machine Learning, Adaptation, and Intelligence" and that your location preference is "New York." Include "Miroslav Dudik" as the name of a Microsoft Research contact (you may include additional contacts as well). Note: IF YOU DO NOT MARK THESE PREFERENCES, IT IS VERY UNLIKELY THAT WE WILL RECEIVE YOUR APPLICATION. After you submit your application, a request for letters will be sent to your list of referees on your behalf. Note: THE APPLICATION SYSTEM WILL NOT REQUEST REFERENCE LETTERS UNTIL AFTER YOU HAVE SUBMITTED YOUR APPLICATION. Please alert your letter writers in advance so that they will be ready to submit your letter by our application deadline of January 1, 2016. You can check the progress on individual reference requests by clicking the status tab within your application page. From poirazi at imbb.forth.gr Tue Nov 3 08:33:43 2015 From: poirazi at imbb.forth.gr (Yiota Poirazi) Date: Tue, 3 Nov 2015 15:33:43 +0200 Subject: Connectionists: Announcing EMBO Workshop on Dendritic Anatomy, Molecules and Function (DENDRITES 2016), June 18-21, Crete Message-ID: <5638B7B7.2090300@imbb.forth.gr> Apologies for the mistake (now corrected) in the link to the conference web site. -------------------------------------------- We are happy to announce EMBO Workshop on Dendritic Anatomy, Molecules and Function (DENDRITES 2016) Heraklion, Crete, Greece June 18-21, 2016 http://www.dendrites2016.gr _Organizing committee:_ Yiota Poirazi, IMBB-FORTH Michael Hausser, UCL * * Matthew Larkum, Hamboldt University This Workshop brings together scientific leaders to present their research on dendrites, at the molecular, anatomical and biophysical level. Apart from scientific talks from top experts in the field, the meeting includes a full day dedicated to Career Issues in academia. This session features talks from the current President of FENS as well as young Neuroscientists from theFENS-Kavli Network of Excellence that are dealing with such issues. _Invited speakers (scientific talks): _ Claudia Clopath Daniel Dombeck Casper Hoogenraad Arthur Konnerth Attila Losonczy Judit Makara Rishikesh Narayanan Elly Nedivi Jackie Schiller Erin Schuman Idan Segev Nelson Spruston Greg Stuart _Invited speakers (Career Issues in academia):_ Monica Di Luca, FENS President: "Publication issues: right time for a reality check" Camilla Belone, FENS-Kavli Scholar: "Retention of women in high levels of neuroscience - Perspectives" Emre Yaksi, FENS-Kavli Scholar: "Funding opportunities in Neuroscience: how to write a successful grant proposal" _Important dates:_ * Abstract submission opens: December 15, 2015. * Abstract submission closes: February 15, 2016. * Notification of abstract acceptance: February 29, 2016. * Early registration fees apply until March 31, 2016. Please write to info at dendrites2016.gr with your questions. On behalf of the organizing committee, Yiota Poirazi ps: Apologies for multiple postings -- Panayiota Poirazi, Ph.D. Director of Research Computational Biology Laboratory Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385 GR 711 10 Heraklion, Crete, GREECE Tel: +30 2810 391139 Fax: +30 2810 391101 ?mail: poirazi at imbb.forth.gr http://www.dendrites.gr Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: image/png Size: 115691 bytes Desc: not available URL: From wulfram.gerstner at epfl.ch Thu Nov 5 03:12:35 2015 From: wulfram.gerstner at epfl.ch (Wulfram Gerstner) Date: Thu, 5 Nov 2015 09:12:35 +0100 Subject: Connectionists: faculty positions Machine Learning/Data Science at EPFL Message-ID: <563B0F73.3060203@epfl.ch> The School of Computer and Communications Sciences at EPFL (Switzerland) has opened a call for up to four faculty positions in Machine Learning and Data Science The positions are at the level of Assistant Professor (Tenure Track) or Senior Professor. see http://professeurs.epfl.ch/page-125205-en.html Qualified applications are warmly invited Wulfram Gerstner School of Computer and Communication Sciences EPFL 1015 Lausanne Switzerland From tomas.hromadka at gmail.com Thu Nov 5 07:12:41 2015 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Thu, 5 Nov 2015 13:12:41 +0100 Subject: Connectionists: COSYNE 2016: Abstract submission closes soon; Travel grants Message-ID: <563B47B9.3090507@gmail.com> ==================================================== Computational and Systems Neuroscience 2016 (Cosyne) MAIN MEETING Feb 25 - Feb 28, 2016 Salt Lake City, Utah WORKSHOPS Feb 29 - Mar 01, 2016 Snowbird Ski Resort, Utah www.cosyne.org ==================================================== IMPORTANT COSYNE NEWS (see below for details): Abstract submission deadline is Fri 13 Nov 2015 (11.59pm PST) Meeting registration will open on 16 Nov 2015 Travel grant submission will open on 16 Nov 2015 COSYNE The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks are selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Cosyne topics include but are not limited to: neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. Based on last year's survey, we decided to keep the accepted number of abstracts the same as in 2015, 345 accepted abstracts (a modest increase over previous years). This was a difficult decision as we know the review process cannot be perfect, meaning that suitable abstracts are sometimes rejected. However, the feedback from the community indicated a clear preference for keeping the meeting at its current size with the restricted number of posters. For more information and details on submitting abstracts please visit www.cosyne.org, section Abstracts. TRAVEL GRANTS Applications will open on 16 Nov 2015 for travel grants to attend the conference. Each awardee will receive at least $500 to help offset the costs of travel, registration, and accommodations. Larger grants may be available to those traveling from outside North America. Special consideration is given to scientists who have not previously attended the meeting, under-represented minorities, students who are attending the meeting together with a mentor, and authors of submitted Cosyne abstracts. For details on applying, see cosyne.org, section Travel grants. CONFIRMED SPEAKERS Blaise Aguera y Arcas (Google) Marisa Carrasco (NYU) Edward Chang (UCSF) Greg DeAngelis (Rochester) Mark Goldman (UC Davis) Sonja Hofer (Basel) Richard Mooney (Duke) Mala Murthy (Princeton) Peggy Series (Edinburgh) Reza Shadmehr (Johns Hopkins) Paul Smolensky (Johns Hopkins) Leslie Vosshall (Rockefeller) Xiao-Jing Wang (NYU) ORGANIZING COMMITTEE General Chairs: Maria Geffen (U Penn) and Konrad K?rding (Northwestern) Program Chairs: Megan Carey (Champalimaud) and Emilio Salinas (Wake Forest) Workshop Chairs: Claudia Clopath (Imperial College) and Alfonso Renart (Champalimaud) Publicity Chair: Xaq Pitkow (Rice) EXECUTIVE COMMITTEE Anne Churchland (CSHL) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT cosyne.meeting [at] gmail.com From todd.gureckis at nyu.edu Wed Nov 4 12:51:11 2015 From: todd.gureckis at nyu.edu (Todd Gureckis) Date: Wed, 4 Nov 2015 12:51:11 -0500 Subject: Connectionists: Decision Making/RL/Neuroecon position at New York University Message-ID: <7C2AEAB4-3B51-4DF7-945A-E60261C49794@nyu.edu> Apologies for cross listings! The Psychology Department in the Faculty of Arts and Science at New York University invites applications for a tenure-track assistant professor position in decision-making, neuroeconomics, and/or reinforcement learning. The appointment is expected to begin September 1, 2016, pending budgetary and administrative approval. We seek applicants with an outstanding record of research in the cognitive, economic, neural, and/or social aspects of human decision-making or closely related areas. Preference will be given to applicants with research that integrates multiple methodologies (e.g., behavior, fMRI, computational modeling). The ideal candidate will have the opportunity to build a collaborative research and teaching program within the Psychology Department and the Institute for the Interdisciplinary Study of Decision Making (http://www.neuroeconomics.nyu.edu ). To apply, see the ?Job Openings? link on the NYU Psychology Department web site (http://www.psych.nyu.edu/ ). Review of applications will begin December 31st, 2015 and will continue until the position is filled. The electronic application should include a CV, statements of research (no more than four pages) and teaching interests (no more than two pages), at least three representative publications, and at least three letters of reference. New York University is an Affirmative Action/Equal Opportunity Employer. Inquires should be directed to Paulo Campos (paulo.campos at nyu.edu ). -- Todd M. Gureckis Assoc. Professor, Psychology New York University 6 Washington Place, Rm 859 New York, NY, 10003 ph: (212) 998-3794 todd.gureckis at nyu.edu http://gureckislab.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefano.panzeri at gmail.com Thu Nov 5 06:06:21 2015 From: stefano.panzeri at gmail.com (Stefano Panzeri) Date: Thu, 5 Nov 2015 12:06:21 +0100 Subject: Connectionists: Postdoctoral Position in Computational Neuroscience at the Italian Institute of Technology Message-ID: We are about to open a postdoctoral position focusing on the development of advanced mathematical methods for analysing fluorescence signals recorded in cortical networks expressing the genetically encoded calcium indicator GCaMP6 during two-photon microscopy experiments. With this email, we are soliciting expressions of interest from interested candidates. The applicants should have a strong background in numerate sciences, with a strong interest and previous experience in MATLAB, be highly independent and have a strong propensity for interdisciplinary research. Experience in or understanding of experimental neuroscience is desirable, but not necessary. Candidates must hold a PhD in computational neuroscience, bio-physics or a related discipline and be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and who are willing to interact with both experimental and theoretical neuroscientists. Research activities will be carried out in the newly established and highly interdisciplinary Neural Coding Laboratory, which is jointly supervised by Dr. Panzeri and Dr. Fellin and aims to combine experiments and mathematics to crack the neural code. For reference to recent work of the PIs please see Zuo et al. Cur. Biol. 2015; Panzeri et al. Trends Cogn. Neurosci. 2015; Bovetti and Fellin, J. Neurosci. Methods 2015; Einevoll et al. Nat. Rev. Neurosci. 2013; Beltramo et al., Nat. Neurosci. 2013. Applications (full CV, two recommendation letters and statement of research interest) should be sent by email to Dr. Stefano Panzeri ( stefano.panzeri at iit.it ) and Dr. Tommaso Fellin (tommaso.fellin at iit.it ). Regards Stefano Panzeri and Tommaso Fellin -------------- next part -------------- An HTML attachment was scrubbed... URL: From kehsing at ust.hk Fri Nov 6 01:36:40 2015 From: kehsing at ust.hk (I-ming HSING) Date: Fri, 6 Nov 2015 06:36:40 +0000 Subject: Connectionists: Neural Engineering/computational neuroscience faculty positions at HKUST Message-ID: Dear Colleagues, The Division of Biomedical Engineering at HKUST has several joint appointment faculty positions at neural engineering and system neuroscience, computational neuroscience and health data science. Enclosed is a copy of the faculty search ad for your perusal. A text version is shown at the email below. Feel free to relay the info to your friends/colleagues/students. Best regards, I-Ming *************** I-Ming Hsing Head and Professor, Division of BioMedical Engineering (BME) Director, BioEngineering Graduate Program (BIEN) Professor, Department of Chemical and Biomolecular Engineering The Hong Kong University of Science and Technology Clear Water Bay, Kowloon, Hong Kong Voice: 852 2358 7131, Fax: 852 3106 4857 Email: kehsing at ust.hk BME URL: http://bme.ust.hk Group URL: http://ihome.ust.hk/~kehsing Job Posting Details The Division of Biomedical Engineering at The Hong Kong University of Science and Technology is looking for outstanding candidates for substantiation-track junior faculty positions in the following strategic areas: (1) Neural Engineering and System Level Neuroscience Applicants should possess a PhD degree in a relevant field. The ideal candidate should have an outstanding research experience in experimental measurements of the neural correlates of perception/action and/or decision-making in awake behaving organisms, e.g., small vertebrates or invertebrates. (2) Computational Neuroscience Applicants should possess a PhD degree in a relevant field with a demonstrated excellence in mathematical and computational analyses of the neural circuits, encoding strategies, or neural architectures underlying behavior. The ideal candidate is expected to build connections between empirical domains of neuroscience, neural engineering and autonomous systems. (3) Health Data Science Applicants should possess a PhD degree in a relevant field with demonstrated research strength of handling and interpreting large health/biological/chemical compound datasets, specializing in data analytics, computational immunology, or discovering vaccines and drugs. The successful candidates will be jointly appointed by the Division of Biomedical Engineering and an academic Department/Division in the School of Engineering or the School of Science. They are expected to lead an independent research group, produce high quality interdisciplinary research, attract external grants, and contribute to teaching at both undergraduate and postgraduate levels. Information about the Division of Biomedical Engineering, the School of Engineering and the School of Science is available at http://bme.ust.hk/, http://www.seng.ust.hk/ & http://science.ust.hk/ respectively. Starting salary will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits. Housing benefits will also be provided where applicable. Initial appointment will normally be made on a 3-year contract, renewable subject to mutual agreement. A gratuity will be payable upon successful completion of contract. Application Procedure =================== Interested candidates are invited to send their application packages (including an updated CV, teaching and research statements, plus names of three dependent referees) by email to bmehire at ust.hk. Review of applications will start immediately and suitable candidates will be contacted for interviews. Applications will be accepted until the positions are filled. (Information provided by applicants will only be used for recruitment and other employment-related purposes.) -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: BME final advert.pdf Type: application/pdf Size: 158979 bytes Desc: BME final advert.pdf URL: From dwang at cse.ohio-state.edu Wed Nov 4 12:24:04 2015 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Wed, 4 Nov 2015 12:24:04 -0500 Subject: Connectionists: Faculty positions at Ohio State in machine learning and data analytics Message-ID: <563A3F34.3050603@cse.ohio-state.edu> The Computer Science and Engineering Department at Ohio State is recruiting several tenure-track assistant professors this year in data analytics, which is part of a multi-year university-wide initiative. One of the positions this year is targeted to machine learning. The detailed description is given below: https://cse.osu.edu/department/faculty-recruiting/tenure-track-positions Thanks, DeLiang Wang -- ------------------------------------------------------------ DeLiang Wang, Professor Co-Editor-in-Chief, Neural Networks Department of Computer Science and Engineering The Ohio State University 2015 Neil Ave. Columbus, OH 43210-1277, U.S.A. Phone: 614-292-6827 (OFFICE); 614-292-7402 (LAB) http://www.cse.ohio-state.edu/~dwang "Happiness = Reality - Expectation" From Jakob.Macke at caesar.de Thu Nov 5 14:34:58 2015 From: Jakob.Macke at caesar.de (Jakob Macke) Date: Thu, 5 Nov 2015 19:34:58 +0000 Subject: Connectionists: Phd-Positions in Bonn & Florida: Max Planck Research School Brain and Behavior Message-ID: <1010A350-690B-4556-B3DA-3862FB70E146@caesar.de> Dear Colleagues, The new International Max Planck Research School for Brain and Behavior is a fully funded graduate program in the neurosciences jointly hosted between caesar, Bonn, Germany and the Max Planck Florida Institute for Neuroscience (MPFI), USA. In addition, IMPRS for Brain and Behavior is co-run by partner Universities: University of Bonn, Germany and Florida Atlantic University in the USA. Detailed information is available on our web site: http://www.imprs-brain-behavior.mpg.de. IMPRS for Brain and Behavior is announcing fully-funded Ph.D. positions in Neuroscience. Students will receive both theoretical and hands-on training in a large range of modern imaging, electro-physiological, molecular and computational techniques. They will be exposed to a broad range of research areas based on how sensory information is encoded in neural circuits and how these circuits are activated during behavior. Students will take courses and attend scientific symposia at the partner institutions in Bonn and Florida ? thereby being exposed to an exceptionally broad group of international scientists and provided the opportunity to earn a doctorate under outstanding research conditions. Successful candidates will work in a young and dynamic international environment, embedded in the local scientific communities of caesar or MPFI. As both caesar and MPFI are part of a large cluster of Max Planck Institutes working in the neurosciences, students will have unparalleled insight into the broad range of outstanding research taking place in the Max Planck Society, Germany?s most successful research organization. The Ph.D. program is open to highly qualified and motivated candidates from all over the world who hold an outstanding diploma or master degree. Please upload your application (details online) through the online application portal found at: http://www.imprs-brain-behavior.mpg.de Application deadline is December 1; positions available starting September 2016. For further information please contact: info at imprs-brain-behavior.org or Denise Butler, Coordinator, phone: +49(0)228 / 9656-318, imprs.info at caesar.de. We are excited about this new venture! We ask that you spread the word far and wide by forwarding this email to students and colleagues interested in our overarching theme of how sensory information is encoded in neural circuits and is ultimately transformed to behavior. Jakob Macke Max Planck Research Group Leader Neural Systems Analysis phone +49/228/9656170 fax +49/228/96569170 e-mail: jakob at caesar.de www.mackelab.org research center caesar an associate of the Max Planck Society Ludwig-Erhard-Allee 2 53175 Bonn, Germany www.caesar.de Bernstein Center for Computational Neuroscience 72076 T?bingen, Germany www.bccn-tuebingen.de From A.Soltoggio at lboro.ac.uk Thu Nov 5 11:59:34 2015 From: A.Soltoggio at lboro.ac.uk (Andrea Soltoggio) Date: Thu, 5 Nov 2015 16:59:34 +0000 Subject: Connectionists: Fully funded PhD position in: Machine learning in multi-variate data processing / integration and analysis for clinical diagnostics and prognostics Message-ID: <21B97FA3-9798-4CE7-A610-208132076731@lboro.ac.uk> Fully funded PhD position in: Machine learning in multi-variate data processing / integration and analysis for clinical diagnostics and prognostics A fully funded PhD position is available in a multi-disciplinary project between the School of Science and the School of Business and Economics, Loughborough University, UK, on the topic of machine learning in multi-variate data processing / integration and analysis for clinical diagnostics and prognostics. Loughborough University is ranked 11th in the 2016 UK League Table Ranking (http://www.thecompleteuniversityguide.co.uk/loughborough/performance , and is located in Loughborough, a town well connected to London by a 1h20m journey by train. Research. The application of advanced analytical techniques to the discovery and implementation of human-borne Chemical, Biological, Radiological and Nuclear (CBRN) markers of interest requires large numbers of samples taken from a highly variable sampled population. Efficient progress in this enterprise is limited by the current limits on the speed and sophistication of the data processing and multivariate analysis of the analytical system outputs. This studentship will start the exploration of the boundary between advanced analytical science (sensory capability) and machine learning, including neural and deep learning. It will be part of what is intended to be an enduring collaboration between researchers in Chemistry, Computer Science, Mathematics and Information Science. The supervisory team is composed of Dr. Andrea Soltoggio, expert in Artificial Intelligence and Neural Learning, and Dr. Martin Sykora, expert in Machine Learning, Data Mining and Big Data. The academic team supporting this project will include: Prof. C. L. Paul Thomas Chemistry, markers and detection Prof. Tom Jackson, Centre for Information Management, applied and theory based knowledge management Dr. Iain Phillips, Department of Computer Science, computer networks and high performance computing Dr. Eugenie Hunsicker, Department of Mathematics, statistical techniques Working environment. The student, based at the Computer Science Department http://www.cs.lboro.ac.uk, School of Science, will work and collaborate with diverse research groups: the Center for Analytical Science (Chemistry Department) with access to research of the Toxi-triage H2020 project (http://cordis.europa.eu/project/rcn/194860_en.html)), and the Center for Information Management (CIM) http://www.lboro.ac.uk/research/cim/. Loughborough University offers cutting-edge computing capabilities with a Hydra High Performance Computing cluster, a 1956-core 64-bit Intel Xeon cluster supplied by Bull, and GPUs computing capabilities. Requirements. The ideal candidate holds (or is about to obtain) a first-class honour undergraduate/postgraduate degree (or equivalent) in Computer Science, Mathematics, Statistics, Electrical or Electronic Engineering, or has authored publications in recognised conferences/journals. Independent working skills are valued as well as the capability of working in a team. Collegiality and interpersonal skills are essential. Excellent English language skills are highly desired (see requirements here http://www.lboro.ac.uk/international/englang/index.htm) Period/Scholarship. Start: January 2016. Duration: 3 years. Scholarship: ?14,057 per annum plus tuition fees at the UK/EU rate (currently ?4,052 p.a.) Application deadline: 16 November 2015. Enquiries and applications. Informal enquiries are encouraged and to be addressed to Dr. Andrea Soltoggio (a.soltoggio at lboro.ac.uk). Interested candidates are invited to submit an application at http://www.lboro.ac.uk/study/apply/research/ including a CV, the names and addresses of two referees, and a statement of research interest (maximum 300 words). Best regards, Andrea Soltoggio -- Dr. Andrea Soltoggio Lecturer in Artificial Intelligence Department of Computer Science Haslegrave Building, N.2.03 Loughborough University LE11 3TU, UK Phone: +44 (0) 1509 635748 Email: a.soltoggio at lboro.ac.uk Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From yael at Princeton.EDU Fri Nov 6 14:09:31 2015 From: yael at Princeton.EDU (Yael Niv) Date: Fri, 6 Nov 2015 19:09:31 +0000 Subject: Connectionists: Graduate studies at the Princeton Neuroscience Institute Message-ID: <99C4B57E-852F-4EF1-95A8-A76706C60EE5@princeton.edu> The Graduate Program in Neuroscience at Princeton University offers a unique and intensive program of study spanning molecular, cellular, systems and cognitive neuroscience, followed by advanced research in a world-class Princeton laboratory. We seek highly motivated and creative students in our efforts to understand the brain. A listing of faculty affiliated with the program can be found online at www.princeton.edu/neuroscience, and below. Our doctoral program is flexible and individually-tailored, and we encourage students to pursue research with more than one faculty and across departmental boundaries. Applications for entry in the Fall of 2015 are now being accepted, with a deadline of December 1. For details, including contact information, please visit www.princeton.edu/neuroscience. Michael Berry - Neural computation in the retina William Bialek - Interface between physics and biology Lisa Boulanger - Neuronal functions of immune molecules Carlos Brody - Quantitative and behavioral neurophysiology Tim Buschman - Neural dynamics of cognitive control Jonathan Cohen - Neural bases of cognitive control Nathaniel Daw - Reward, learning and decision making Lynn Enquist - Neurovirology Liz Gavis - Neural development and mRNA localization in Drosophila Alan Gelperin - Learning, memory and olfaction Asif Ghazanfar - Neurobiology of primate social agents Elizabeth Gould - Neurogenesis and hippocampal function Michael Graziano - Sensorimotor integration Charles Gross - Functions of the cerebral cortex in behavior Uri Hasson - Temporal scales of neural processing Philip Holmes - Mathematical modeling John Hopfield - Computational neurobiology/biophysics Barry Jacobs - Brain monoamine neurotransmitters Sabine Kastner - Neural mechanisms for visual perception Carolyn McBride - Molecular and neural basis of behavioral evolution Mala Murthy - Neurophysiology of olfactory and auditory perception in Drosophila Coleen Murphy - Molecular mechanisms of aging Yael Niv - Reinforcement learning and decision making, computational psychiatry Ken Norman - Neural bases of episodic memory Jonathan Pillow - Neural information processing, machine learning, and statistical modeling of neural data Sebastian Seung - Structure and function of neural circuits Joshua Shaevits - Neural and behavioral dynamics in simple organisms David Tank - Neural circuit dynamics Jordan Taylor - Motor control and learning Alexander Todorov - Cognitive neuroscience of social cognition and behavior Nicholas Turk-Browne - Cognitive neuroscience of attention, perception and memory Samuel Wang - Dynamics and learning in neural circuits Ilana Witten - Neural circuits underlying reward and motivation -------------- next part -------------- An HTML attachment was scrubbed... URL: From schapire at microsoft.com Mon Nov 9 13:25:59 2015 From: schapire at microsoft.com (Robert Schapire) Date: Mon, 9 Nov 2015 18:25:59 +0000 Subject: Connectionists: full-time researcher positions at Microsoft Research NYC Message-ID: Microsoft Research NYC seeks outstanding applicants for full-time researcher positions in the area of machine learning or a related field, such as statistics, computer vision or natural language processing. We invite applicants at all levels. Deadline for full consideration: January 1, 2016. Application instructions are at the end of this e-mail. For additional postdoc and researcher positions, see: http://research.microsoft.com/en-us/labs/newyork Microsoft Research offers an exhilarating and thriving environment for cutting-edge, multidisciplinary research, both theoretical and applied, with access to an extraordinary diversity of big and small data sources, an open publications policy, and close links to top academic institutions around the world. We seek applicants from all areas of machine learning and related fields with a passion and demonstrated ability for independent research, including a strong publication record at top research venues. We especially welcome candidates who will complement our efforts to expand the scope and effectiveness of machine learning approaches to both new and existing domains. Researchers in our lab define their own research agenda, driving forward an effective program of basic and applied research. In addition to working on challenging and fundamental problems, they have the potential to realize their ideas in products and services used worldwide. Microsoft Research New York City is the newest MSR lab, comprising thirty full-time researchers and postdocs working in machine learning, systems, computational social science, algorithmic economics, information retrieval, and social media. The lab is highly collaborative and interdisciplinary, and is actively engaged with the local academic and tech communities. Examples of current machine learning projects include: * Active learning: When labeled data is scarce and unlabeled data abundant, how can machine-learning algorithms adaptively request labels to attain good generalization? (Alekh Agarwal, Tzu-Kuo Huang, John Langford, Rob Schapire) * Bayesian latent variable modeling: How can we use and develop Bayesian latent variable models (including statistical topic models and nonparametric Bayesian models) to answer exploratory, explanatory, and predictive questions about the structure, content, and dynamics of social processes? (Hanna Wallach) * Contextual bandits, exploration and incentives: What are the theoretical foundations and practical algorithms for learning over the course of interaction with a user in the presence of contextual information? How can algorithms learn over time from partial information provided by self-interested agents? (Alekh Agarwal, Miro Dudik, John Langford, Rob Schapire, Alex Slivkins, Vasilis Syrgkanis, Jenn Wortman Vaughan) * Ethics of Machine Learning: How can we study issues of fairness, accountability, and transparency in machine learning? (Kate Crawford, Fernando Diaz, Hanna Wallach) * Game theory and machine learning: How can machine-learning methods be used in settings involving interaction between players? And how can ideas from game theory be used in the design of machine-learning algorithms? (Alekh Agarwal, Miro Dudik, Rob Schapire, Alex Slivkins, Vasilis Syrgkanis) * Learning reductions: Every real-world learning problem is a little bit different from every other, so how can we solve them all without reinventing the field of machine learning for every problem? (Alekh Agarwal, John Langford, Rob Schapire) * Logarithmic-time prediction: Whether recognizing every face on the planet or choosing the optimal search result, efficiently choosing from a large set is critical for an effective learning algorithm. What techniques can accomplish this? (John Langford) * Online learning: How can we design machine-learning algorithms for sequentially-arriving data to achieve robust theoretical guarantees and an ability to deploy at scale? (Alekh Agarwal, Miro Dudik, John Langford, Rob Schapire) * Prediction markets: How can we use economic incentives to elicit information and aggregate beliefs from a pool of experts? (Miro Dudik, Jenn Wortman Vaughan) * Reinforcement learning: How can we learn to behave nearly optimally in a complex world with an evolving state? (Alekh Agarwal, Fernando Diaz, Akshay Krishnamurthy, John Langford, Rob Schapire) * Structured prediction: What is a general-purpose approach to effectively and efficiently making a joint set of predictions (as in parsing, machine translation, etc.)? (Alekh Agarwal, Akshay Krishnamurthy, John Langford) For a list of recent publications, please see the MSR NYC Machine Learning website: http://research.microsoft.com/mlnyc Candidates for this position must have: * a PhD in computer science, electrical engineering, statistics, mathematics, or a related field; * a well-established research track record demonstrated, for example, by journal and conference publications, and participation on program committees, editorial boards, etc.; * strong communication skills; * ability to work in a highly collaborative and interdisciplinary environment; * for senior candidates, demonstrated leadership in their field. HOW TO APPLY To apply, submit an online application on the Microsoft Research Careers website: http://research.microsoft.com/en-us/jobs/fulltime/apply_researcher.aspx For full consideration, all materials, including reference letters, need to be received by January 1, 2016. In completing your application, please be sure to follow these additional instructions: 1. In addition to submitting your CV and the names of at least three referees, as required by the online application, please also upload the following three attachments: * two conference or journal articles, book chapters, or equivalent writing samples (uploaded as two separate attachments); * an academic research statement (approximately 3-4 pages) that outlines your research achievements and agenda. 2. Indicate that your research area of interest is "Machine Learning, Adaptation, and Intelligence" and that your location preference is "New York." Include "Robert Schapire" as the name of a Microsoft Research contact (you may include additional contacts as well). Note: IF YOU DO NOT MARK THESE PREFERENCES, IT IS VERY UNLIKELY THAT WE WILL RECEIVE YOUR APPLICATION. After you submit your application, a request for letters may be sent to your list of referees on your behalf. NOTE THAT REFERENCE LETTERS CANNOT BE REQUESTED UNTIL AFTER YOU HAVE SUBMITTED YOUR APPLICATION, AND FURTHERMORE, THAT THEY ARE NOT AUTOMATICALLY REQUESTED FOR ALL CANDIDATES. You may wish to alert your letter writers in advance so they will be ready to submit your letter by our application deadline of January 1, 2016. You can check the progress on individual reference requests by clicking the status tab within your application page. From rajeev.raizada at gmail.com Fri Nov 6 16:52:45 2015 From: rajeev.raizada at gmail.com (Rajeev Raizada) Date: Fri, 6 Nov 2015 16:52:45 -0500 Subject: Connectionists: PhD program in Brain & Cognitive Sciences at the University of Rochester Message-ID: Graduate Training in Brain and Cognitive Sciences at the University of Rochester The Department of Brain and Cognitive Sciences (BCS) at the University of Rochester offers opportunities for students interested in earning a doctoral degree in one of the most exciting fields of scientific endeavor. Particular areas of research strength include: language, perception and action, development and learning, concepts and categories, and decision-making. Full details can be found at: http://www.bcs.rochester.edu . Recent news about research done in the department can be found on its Twitter feed: https://twitter.com/UoR_BrainCogSci We seek outstanding candidates from a variety of backgrounds who seek a rigorous program of study and exceptional mentoring in research. All students admitted to the program are offered graduate fellowships that provide a full stipend and cover the costs of tuition and single plan health insurance. The Department has a number of new faculty with research programs focusing on cognitive neuroscience, development of language and cognition, language learning, theoretical and computational neuroscience, and visual neuroscience. Interested applicants can find details at http://www.bcs.rochester.edu/graduate/admission.html The closing date for applications for admission in Fall 2016 is January 4, 2016. Readers of the Connectionists list may be particularly interested in work being done by the following faculty members: Ralf Haefner (computational neuroscience) https://www.bcs.rochester.edu/people/faculty/haefner_ralf/index.html Robbie Jacobs (computational cognition, Bayesian modeling) https://www.bcs.rochester.edu/people/faculty/jacobs_robert/index.html Jude Mitchell (neurophysiology, computational neuroscience) https://www.bcs.rochester.edu/people/faculty/mitchell_jude/index.html Steve Piantadosi (computational cognition, Bayesian modeling) http://colala.bcs.rochester.edu/people/piantadosi/ Rajeev Raizada (computational fMRI) http://raizadalab.org Neuroimaging facilities include a research-dedicated 3T Siemens MRI scanner at the Rochester Center for Brain Imaging (RCBI), and also state-of-the-art NIRS and EEG systems. More information can be found at http://www.rcbi.rochester.edu From pblouw at uwaterloo.ca Tue Nov 10 17:00:14 2015 From: pblouw at uwaterloo.ca (Peter Blouw) Date: Tue, 10 Nov 2015 17:00:14 -0500 Subject: Connectionists: 2016 Nengo Summer School - Applications Open Message-ID: Hello! [All details about this school can be found online at http://www.nengo.ca/summerschool] The Centre for Theoretical Neuroscience at the University of Waterloo is inviting applications for our 3rd annual summer school on large-scale brain modeling. This two-week school will teach participants how to use the Nengo software package to build state-of-the-art cognitive and neural models to run in simulation and on neuromorphic hardware. Nengo has been used to build what is currently the world's largest functional brain model, Spaun [1], and provides users with a versatile and powerful environment for designing cognitive and neural systems to run in simulated and real environments. We welcome applications from all interested graduate students, research associates, postdocs, professors, and industry professionals. No specific training in the use of modeling software is required, but we encourage applications from active researchers with a relevant background in psychology, neuroscience, cognitive science, robotics, neuromorphic engineering, computer science, or a related field. For a look at last year's summer school, check out this short video: https://goo.gl/wy4dNC [1] Eliasmith, C., Stewart T. C., Choo X., Bekolay T., DeWolf T., Tang Y., Rasmussen, D. (2012). A large-scale model of the functioning brain. Science. Vol. 338 no. 6111 pp. 1202-1205. DOI: 10.1126/science.1225266. [ http://nengo.ca/publications/spaunsciencepaper] ****Application Deadline: February 15, 2016**** *Format*: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modeling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration will be held on the last day of the school, with prizes for strong projects! *Topics Covered*: Participants will have the opportunity to learn how to: - build perceptual, motor, and sophisticated cognitive models using spiking neurons - model anatomical, electrophysiological, cognitive, and behavioural data - use a variety of single cell models within a large-scale model - integrate machine learning methods into biologically oriented models - interface Nengo with various kinds of neuromorphic hardware (e.g. SpiNNAker) - interface Nengo with cameras and robotic systems - implement modern nonlinear control methods in neural models - and much more? *Date and Location*: June 5th to June 17th, 2016 at the University of Waterloo, Ontario, Canada. *Applications*: Please visit http://www.nengo.ca/summerschool, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Peter Blouw (pblouw at uwaterloo.ca). We look forward to hearing from you! -------------- next part -------------- An HTML attachment was scrubbed... URL: From n.lepora at bristol.ac.uk Mon Nov 9 03:44:13 2015 From: n.lepora at bristol.ac.uk (Nathan Lepora) Date: Mon, 9 Nov 2015 08:44:13 +0000 Subject: Connectionists: [meetings] Living Machines V: First Call for Papers, Satellite Events and Sponsors Message-ID: First Call for Papers, Satellite Events and Sponsors Living Machines V: The 5th International Conference on Biomimetic and Biohybrid Systems 18th to 22nd July 2015 http://csnetwork.eu/livingmachines To be hosted at the: Dynamic Earth Edinburgh, Scotland In association with the Heriot-Watt University and University of Edinburgh Accepted papers will be published in: Springer Lecturer Notes in Artificial Intelligence Submission deadline March 11th, 2016 ______________________________________________________________ ABOUT LIVING MACHINES 2016 The development of future real-world technologies will depend strongly on our understanding and harnessing of the principles underlying living systems and the flow of communication signals between living and artificial systems. Biomimetics is the development of novel technologies through the distillation of principles from the study of biological systems. The investigation of biomimetic systems can serve two complementary goals. First, a suitably designed and configured biomimetic artefact can be used to test theories about the natural system of interest. Second, biomimetic technologies can provide useful, elegant and efficient solutions to unsolved challenges in science and engineering. Biohybrid systems are formed by combining at least one biological component?an existing living system?and at least one artificial, newly-engineered component. By passing information in one or both directions, such a system forms a new hybrid bio-artificial entity. The theme of the conference also encompasses biomimetic methods for manufacture, repair and recycling inspired by natural processes such as reproduction, digestion, morphogenesis and metamorphosis. The following are some examples of ?Living Machines? as featured at past conferences: ? Biomimetic robots and their component technologies (sensors, actuators, processors) that can intelligently interact with their environments. ? Active biomimetic materials and structures that self-organize and self-repair. ? Nature-inspired designs and manufacturing processes. ? Biomimetic computers?neuromimetic emulations of the physiological basis for intelligent behaviour. ? Biohybrid brain-machine interfaces and neural implants. ? Artificial organs and body-parts including sensory organ-chip hybrids and intelligent prostheses. ? Organism-level biohybrids such as robot-animal or robot-human systems. ACTIVITIES The main conference will take the form of a three-day single-track oral and poster presentation programme, 20th to 22nd July 2016, hosted at Dynamic Earth, Edinburgh, Scotland. The conference programme will include five plenary lectures from leading international researchers in biomimetic and biohybrid systems, and the demonstrations of state-of-the-art living machine technologies The full conference will be preceded by up to two days of Satellite Events hosted by the School of Informatics at the University of Edinburgh. SUBMITTING TO LIVING MACHINES 2016 We invite both full papers and extended abstracts in areas related to the conference themes. All contributions will be refereed and accepted papers will appear in the Living Machines 2016 proceedings which we expect to be published in the Springer-Verlag LNAI Series. Full papers (minimum 8 pages, up to 12 pages) are invited from researchers at any stage in their career and should present significant findings and advances in biomimetic or biohybid research. More preliminary work would be better suited for short papers submission (minimum 4 pages, with a maximum of ten references and no more than three self-citations). Full papers will be accepted for either oral presentation (single track) or poster presentation. Extended abstracts will be accepted for poster presentation only. Authors of the best full papers will be invited to submitted extended versions of their paper for publication in a special issue of the Taylor & Francis journal Connection Science. SATELLITE EVENTS Active researchers in biomimetic and biohybrid systems are invited to propose topics for 1-day or 2-day tutorials, symposia or workshops on related themes to be held 18-19th July at the School of Informatics, University of Edinburgh. Events can be scheduled on either the 18th or the 19th or across both days. Attendance at satellite events will attract a small fee intended to cover the costs of the meeting. There is a lot of flexibility about the content, organisation, and budgeting for these events. Please contact us if you are interested in organising a satellite event! EXPECTED DEADLINES March 11th, 2016 Paper submission deadline April 29th, 2016 Notification of acceptance May 16th, 2016 Camera ready copy July 18-22 2016 Conference SPONSORSHIP Living Machines 2016 is part-sponsored by the Convergent Science Network (CSN) for Biomimetics and Neurotechnology. CSN is an EU FP7 Future Emerging Technologies Co-ordination Activity that also organises two highly successful workshop series: the Barcelona Summer School on Brain, Technology and Cognition (https://bcbt.upf.edu/bcbt15) and the Capocaccia Neuromorphic Cognitive Engineering Workshop (https://capocaccia.ethz.ch/capo/wiki/2015). The 2016 Living Machines conference will also be hosted and co-sponsored by Heriot-Watt University. Call for Sponsors. Other organisations wishing to sponsor the conference in any way and gain the corresponding benefits by promoting themselves and their products to through conference publications, the conference web-site, and conference publicity are encouraged to contact the conference organisers to discuss the terms of sponsorship and necessary arrangements. We offer a number of attractive and good-value packages to potential sponsors. ABOUT THE VENUE Living Machines 2016 will be hosted at Dynamic Earth (http://www.dynamicearth.co.uk), a 5 star visitor attraction in the heart of Edinburgh?s historic old town, next door the Scottish Parliament and Holyrood Palace. Dynamic Earth is a visitor experience that invites you to take a journey through time to witness the story of planet Earth. Through a series of interactive exhibits, state of the art technology and even a 4D encounter you will feel the heat of a bubbling volcano, face the chill of polar ice, fly across the globe before crash landing in a tropical rainforest. Attendees at the conference will receive a discount voucher to visit the Dynamic Earth exhibit. Workshops will be held at the University of Edinburgh?s School of Informatics in George Square, a short walk from Edinburgh city centre. Organising Committee: Mark Desmulliez, Heriot Watt University (Co-chair) Tony Prescott, University of Sheffield (Co-chair) Nathan Lepora, University of Bristol (Programme Chair) Michael Mangar, University of Edinburgh (Satellite Events Chair) Anna Mura, Universitat Pompeu Fabra (Communications) Paul Verschure, Universitat Pompeu Fabra (International Steering Committee) -- Dr N Lepora Dept of Engineering Maths Phone: +44 (0) 117 331 5169 Merchant Venturers Building Website: http://www.lepora.com University of Bristol BS8 1UB Lecturer in Engineering Mathematics http://www.bristol.ac.uk/engineering/people/nathan-f-lepora Program Director (UoB) for the MSc in Robotics http://www.bristol.ac.uk/engineering/interdisciplinary/robotics/ From Michael_Frank at brown.edu Wed Nov 11 16:18:54 2015 From: Michael_Frank at brown.edu (Michael J Frank) Date: Wed, 11 Nov 2015 16:18:54 -0500 Subject: Connectionists: PhD studentships: Computation in Brain and Mind at Brown University Message-ID: The Brown University initiative for Computation in Brain and Mind (CiBaM) within the Brown Institute for Brain Science invites PhD applicants to apply directly to any of the affiliated departments, including Neuroscience, Cognitive, Linguistic and Psychological Sciences, Applied Mathematics, Computer Science, Engineering, and others. Among other events, the initiative includes a seminar series focused on computation with distinguished lecturers, technical workshops and symposia, and neural decoding competitions. The initiative also has close links to parallel initiatives at Brown in Human-Robot Interaction, Digital Society (big data), and access to a high performance compute cluster with dedicated cycles for Brain Science. Brown has particular expertise in computational approaches to higher order brain function, from perception to cognition, spanning departments of Neuroscience, Cognitive, Linguistic & Psychological Sciences, Applied Mathematics, Computer Science, Neurosurgery, Biostatistics, and Engineering. Most of these faculties cross theory and experiment, but primary foci are listed here: * Computational perception: Theories about how the brain integrates sensory information to give rise to percepts, constrained by biophysics and computational objectives. * Control over action: reinforcement learning, motor control, decision making, and cognitive control; application to mental illnesses. * Fundamental questions in neural computation: synaptic plasticity, circuits, networks. * Neurotechnology: brain-machine interface, advanced neural data analysis. * Automated collection of neuroscience data, e.g., via computer vision and annotation. These core areas are supported by boundary-pushing development of technical and analytic methods in Computer Science and Applied Mathematics, including computational probability and statistics and machine learning. Applicants should apply directly to a PhD program in any of the affiliated departments listed above, and simply note an interest in the CiBaM initiative in their statements of interest. -- Michael J Frank, PhD, Associate Professor Laboratory for Neural Computation and Cognition Brown University http://ski.clps.brown.edu (401)-863-6872 -------------- next part -------------- An HTML attachment was scrubbed... URL: From krzysztof.geras at gmail.com Fri Nov 6 05:36:56 2015 From: krzysztof.geras at gmail.com (Krzysztof Geras) Date: Fri, 6 Nov 2015 10:36:56 +0000 Subject: Connectionists: Alan Turing Institute Deep Learning Workshop Message-ID: Dear Connectionists, You are invited to attend and/or submit to the Alan Turing Institute Deep Learning Workshop on Wednesday 25th of November 2015 in Edinburgh, Scotland. This workshop is for those working in Machine Learning, Statistics, Neuroscience or AI who are interested in Deep Learning. It is also appropriate for the wider community -- those working in related application areas such as Computer Vision, NLP, or Speech, who are using or considering using Deep Learning methods. Submissions will form the basis of poster sessions. We are happy to receive submissions that are being considered or accepted for publication elsewhere. In order to ensure the workshop is discussing latest research ideas and applications, we do not have a long lead time for submission - papers/descriptions of research should be submitted before the 14th of November. Many delegates will be attending without presenting. There will be time in the programme for discussion of issues and interests. Full details are available at http://workshops.inf.ed.ac.uk/deep/deepATI/ See the bottom of that page for registration details. Due to the generosity of the workshop sponsors, the workshop registration is free. Regards on behalf of the ATI Deep Learning Workshop committee, Amos Storkey (Edinburgh) Krzysztof Geras (Edinburgh) Nando De Freitas (Oxford, DeepMind) Ben Graham (Warwick) Zoubin Ghahramani (Cambridge) Thore Graepel (UCL, DeepMind) Neil Lawrence (Sheffield) Phil Blunsom (Oxford, DeepMind) Iain Murray (Edinburgh) Stephen Roberts (Oxford) Andrew Zisserman (Oxford, DeepMind) Mark Gales (Cambridge) Vittorio Ferrari (Edinburgh) Yee Whye Teh (Oxford) Andrea Vedaldi (Oxford) Steve Renals (Edinburgh) Andrew Stuart (Warwick) Charles Sutton (Edinburgh) Richard Turner (Cambridge) Chris Williams (Edinburgh) Emre Ozer (ARM) Max Welling (Amsterdam) -------------- next part -------------- An HTML attachment was scrubbed... URL: From arokem at gmail.com Tue Nov 10 14:54:06 2015 From: arokem at gmail.com (Ariel Rokem) Date: Tue, 10 Nov 2015 11:54:06 -0800 Subject: Connectionists: Postdoc training at the University of Washington in neuroengineering/data science Message-ID: With apologies for cross-posting, I am posting the following on behalf of my colleague, Ione Fine: Two extraordinary postdoctoral fellowship opportunities with a deadline of January 15th are available at the University of Washington, Seattle, USA: http://uwin.washington.edu/post-docs/apply-post-docs/ http://escience.washington.edu/postdoctoral-fellowships Candidates with a strong computational background (e.g., machine learning, computer vision, neuroengineering, etc.) are sought to work on the following project: Prof. Fine has over several years worked in collaboration with Second Sight (developers of a retinal prosthetic, analogous to a cochlear implant, on the market). She has developed developed a model that, for any given pulse train, is pretty good at predicting what a patient implanted with a retinal prosthetic will see (essentially a linear-nonlinear model with some weird tweaks because the retina is responding to current instead of light). But what the field really needs is the *reverse* of this model ? we need to be able to predict what electrical pulses (across the set of electrodes) will produce a percept that most closely matches the percept that would normally be elicited by whatever it is the patient is looking at. It?s actually a really tricky problem for a variety of reasons. Building such a model would be of very high impact on the field, because it wouldn?t just help Second Sight patients ? it would likely be generalized by all the other groups trying to build prosthetic devices (e.g., with optogenetics). Please contact Prof. Fine (ionefine at uw.edu) if you are interested in this particular project or just want information about UWIN ( http://uwin.washington.edu/). Feel free to also contact me (arokem at gmail.com) for questions about the Data Science Environment at the University of Washington (http://escience.washington.edu/) and the eScience fellowships. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Johan.Suykens at esat.kuleuven.be Mon Nov 9 10:53:31 2015 From: Johan.Suykens at esat.kuleuven.be (Johan Suykens) Date: Mon, 9 Nov 2015 16:53:31 +0100 Subject: Connectionists: Postdoc positions ERC Advanced Grant A-DATADRIVE-B Message-ID: <5640C17B.4030801@esat.kuleuven.be> The research group KU Leuven ESAT-STADIUS is currently offering 2 Postdoc positions (1-year) within the framework of the ERC (European Research Council) Advanced Grant A-DATADRIVE-B (PI: Johan Suykens) http://www.esat.kuleuven.be/stadius/ADB on Advanced Data-Driven Black-box modelling. The research positions relate to the following possible topics: -1- Prior knowledge incorporation -2- Kernels and tensors -3- Modelling structured dynamical systems -4- Sparsity -5- Optimization algorithms -6- Core models and mathematical foundations -7- Next generation software tool The research group ESAT-STADIUS http://www.esat.kuleuven.be/stadius at the university KU Leuven Belgium provides an excellent research environment being active in the broad area of mathematical engineering, including systems and control theory, neural networks and machine learning, nonlinear systems and complex networks, optimization, signal processing, bioinformatics and biomedicine. The research will be conducted under the supervision of Prof. Johan Suykens. Interested candidates having a solid mathematical background and PhD degree can on-line apply by following the submission guidelines given at the website http://www.esat.kuleuven.be/stadius/ADB/vacancies.php by including CV and motivation letter. From kkuehnbe at uos.de Fri Nov 6 03:57:03 2015 From: kkuehnbe at uos.de (Kai-Uwe Kuehnberger) Date: Fri, 06 Nov 2015 09:57:03 +0100 Subject: Connectionists: Research Assistant in Artificial Intelligence at the Institute of Cognitive Science in Osnabrueck In-Reply-To: <563C6168.9000606@uos.de> References: <563C6168.9000606@uos.de> Message-ID: <563C6B5F.6000100@uos.de> --- The Artificial Intelligence Research Group (Prof. Dr. Kai-Uwe K?hnberger) of the Institute of Cognitive Science invites applications for *1 Research Assistant *** *(Salary level E 13 TV-L, 50 %)* ** to be filled as soon as possible for a period of 3 years. *Description of Responsibilities:* The position involves participation in the research activities of the Artificial Intelligence Group with an emphasis on the areas of knowledge representation and ontologies, computational creativity, and cognitive modeling. The AI group is focusing on models for non-classical forms of reasoning, e.g. analogical reasoning and concept blending. The position includes teaching Cognitive Science courses at B.Sc. and M.Sc. level (2 hours/week) and allows for further scientific qualification. *Required Qualifications:* Applicants are expected to have an above-average academic degree (Master/ Diploma), experience and interest in several of the domains listed above, basic knowledge in at least two of the following areas: formal logic and reasoning, development of algorithms, theory of neural networks, or practical knowledge in programming languages (e.g. Prolog, Java, ML/Scheme). Additionally, a good command of the English language is mandatory. As a certified family-friendly institution, Osnabr?ck University is committed to furthering the compatibility between work/studies and family life. As an employer, Osnabr?ck University is committed to creating equal opportunities for women and men. For this reason, it aims to increase the proportion of the under-represented gender in the respective area. Qualified applicants with disabilities will be favored. Applications with the usual documentation should be submitted by e-mail in a *_single_* PDF-file to Prof. Dr. K.-U. K?hnberger (kkuehnbe at uni-osnabrueck.de ) with a cc to office at ikw.uni-osnabrueck.de no later than *November 27, 2015*. Further information can be obtained from Prof. Dr. Kai-Uwe K?hnberger (kkuehnbe at uni-osnabrueck.de). --- -------------- next part -------------- An HTML attachment was scrubbed... URL: From dayan at gatsby.ucl.ac.uk Fri Nov 6 09:52:35 2015 From: dayan at gatsby.ucl.ac.uk (Peter Dayan) Date: Fri, 6 Nov 2015 14:52:35 +0000 Subject: Connectionists: Gatsby Computational Neuroscience Unit, PhD Programme Message-ID: <20151106145235.GA18730@gatsby.ucl.ac.uk> Training in theoretical and computational neuroscience and machine learning. The Gatsby Unit is a centre for theoretical neuroscience and machine learning, focusing on unsupervised, semi-supervised and reinforcement learning, neural dynamics, population coding, Bayesian (Including nonparametric) statistics, kernel methods and applications of these to the analysis of perceptual processing, neural data and beyond. It provides a unique opportunity for a critical mass of theoreticians to interact closely with each other, and with other world-class research groups in related departments at UCL, including the Sainsbury Wellcome Centre for Neural Circuits and Behaviour, with which we share a brand new building, and Computer Science, Functional Imaging, Physics, Physiology, Psychology, Neurology, Ophthalmology, Statistical Science, and with the cross-faculty Centre for Computational Statistics and Machine Learning. The Unit has openings for exceptional PhD candidates. Applicants should have a strong analytical background, a keen interest in neuroscience and/or machine learning and a relevant first degree, for example in Computer Science, Engineering, Mathematics, Neuroscience, Physics, Psychology or Statistics. The PhD programme lasts four years, including a first year of intensive instruction in techniques and research in theoretical neuroscience and machine learning. All students are fully funded, regardless of nationality. The Unit also welcomes applications from students with pre-secured funding or who are currently soliciting other scholarship/studentships. Gatsby PhD studentships cover the cost of tuition at the appropriate rate, and include a tax-free stipend of ?20,500 per annum. Applications (including a CV, statement of research interests, and letters from three referees) for 2016/17 admission must be sent directly to the Gatsby Unit admissions at gatsby.ucl.ac.uk by midnight Greenwich Meantime (GMT) December 21st, 2015. If you would require a visa to attend an interview, if selected, then please contact us directly as soon as your application is complete and your referees have submitted their recommendations. Full details of our programme, and how to apply, are available at: http://www.gatsby.ucl.ac.uk/teaching/phd For further details of research interests please see http://www.gatsby.ucl.ac.uk/research.html and the individual faculty webpages at http://www.gatsby.ucl.ac.uk/members.html From kagan.tumer at oregonstate.edu Tue Nov 10 18:39:01 2015 From: kagan.tumer at oregonstate.edu (Kagan Tumer) Date: Tue, 10 Nov 2015 15:39:01 -0800 Subject: Connectionists: [jobs] Tenure-track robotics positions at Oregon State University Message-ID: <56428015.9090500@oregonstate.edu> Oregon State is hiring in all areas of robotics. Details at http://robotics.oregonstate.edu/jobs The Oregon State University Robotics program seeks applications for full-?time faculty positions to support our M.S. and Ph.D. programs in Robotics. All areas of robotics will be considered. Appointments are anticipated at the Assistant Professor rank, but exceptionally strong candidates may be considered at the rank of Associate Professor or Professor. The successful candidates will have office and laboratory space physically located with the existing Robotics group, and will have an administrative home most appropriate to their area of expertise within the College of Engineering. As a Land/Sea/Air/Space grant institution, with strong ties to oceanography and the NOAA fleet, as well as hosting an FAA UAV test site, there are many opportunities to collaborate across disciplines and utilize Robotics as an enabling technology. Candidates should hold a Ph.D. in a robotics? related discipline by the start of employment, and have a demonstrated record of scholarship. We particularly welcome candidates with a proven record of working with robots in real environments. Duties include teaching undergraduate and graduate courses, conducting research, securing research funding, and service. Candidates should show evidence of strong research promise, potential for developing an externally-funded research program, and commitment to quality advising and teaching at the graduate and undergraduate levels. Applicants who are women or under?represented minorities are strongly encouraged to apply. Oregon State University is located in Corvallis, a college town renowned for its high quality of life. For full consideration, apply online by Feb 15, 2016 with a letter of interest; vita; two-page statement of research interests; one-page statement of teaching interests; one-page statement of philosophy toward equity, inclusion and diversity; and names and contact information for at least three references. More information, including a complete position description is available at http://robotics.oregonstate.edu/jobs -- Kagan Tumer Professor, School of MIME Director, Robotics Program Oregon State University http://engr.oregonstate.edu/~ktumer From boris.gutkin at ens.fr Fri Nov 6 09:13:30 2015 From: boris.gutkin at ens.fr (boris gutkin) Date: Fri, 6 Nov 2015 15:13:30 +0100 Subject: Connectionists: faculty positions in computational neuroscience, cognitive psychology Higher School of Economics, Moscow Message-ID: <8F5EF6F4-55E5-4B54-989F-6401C8D9152D@ens.fr> for more information about projects in the Theoretical Neuroscience Group, please contact me directly by email. School of Psychology at the Faculty of Social Sciences Assistant Professor in Psychology (multiple positions) School of Psychology at the Faculty of Social Sciences National Research University Higher School of Economics Moscow, Russia The School of Psychology of the Higher School of Economics in Moscow, Russia invites applications for full-time, tenure-track positions of Assistant Professor in psychology and related fields, notably in cognitive psychology, social and personality psychology, economic psychology, engineering psychology cognitive and computational neuroscience (including neuroeconomics). Applications for Associate and Full Professorships can also be considered in exceptional cases. Knowledge of Russian is not required as teaching is done in English. About HSE The HSE is a young, dynamic, fast-growing Russian research university. Over the past twenty years, the HSE has become one of Russia's largest universities in the fields of economics, social sciences and humanities, and has earned the reputation of a national leader in higher education. One of its unique features has been its direct involvement in socioeconomic reforms in Russia, which has allowed HSE to develop as a ?project and research university? where education, fundamental and applied research, and "think tank" activities are combined for the comprehensive development of society. Committed to high-quality research, HSE now has over twenty international research laboratories, led by eminent professors from all over the world; more such laboratories are expected to be opened by early 2016. The Department of Psychology provides excellent research facilities for studies in experimental psychology and cognitive neuroscience. We provide excellent opportunities to teach in English at BA and MS levels. Requirements Candidates must hold a recent Ph.D. in psychology, social sciences, neuroscience, computer science, electrical engineering, mathematics or related fields, or be within a year of completion at the time of application. The successful candidate is expected to conduct high-quality research publishable in reputable peer-reviewed journals with research support provided by the university?s Centre for Advanced Studies. The appointments will be made for three years in the first instance, starting in September 2016, with reviews of teaching and research during the third year. Benefits The salary is competitive, indexed to inflation annually, and subject to a 13% flat income tax. The university offers health insurance (free of charge), language assistance, and other social benefits; travel support and other research assistance are generous. Since we have heavy emphasis placed on high quality research, the teaching load of newly hired faculty is relatively low and service is minimal. Application and Interviews Please provide a CV, a statement of research interest and a recent research paper via online application form. At least 2 letters of reference should be forwarded directly to the attention of the Psychology Review Committee at cas at hse.ru. The deadline for accepting application materials is December 04, 2015 . More information about the university and the Centre is available at the www.hse.ru/en, http://social.hse.ru/en/psy/ and www.cas.hse.ru http://cas.hse.ru/psychology_2016_2017 Boris Gutkin, PhD Research Director CNRS Group for Neural Theory Laboratoire des Neurosciences Cognitives, INSERM U 960 Department of Cognitive Studies Institute for the Study of Cognition Ecole Normale Superieure Paris. France boris.gutkin at ens.fr www.gnt.ens.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From julian at togelius.com Sun Nov 8 09:11:52 2015 From: julian at togelius.com (Julian Togelius) Date: Sun, 8 Nov 2015 23:11:52 +0900 Subject: Connectionists: Senior faculty position at New York University, Computer Science and Engineering Message-ID: We have a faculty opening on the senior (associate/full professor) level at the Department of Computer Science and Engineering, New York University. For this year's faculty search, we have a particular emphasis on game design and engineering and image data analysis, and are primarily looking for a strong candidate in one of these ares. https://www.nyuopsearch.com/applicants/Central?quickFind=52726 -- Julian Togelius Associate Professor, New York University Department of Computer Science and Engineering mail: julian at togelius.com, web: http://julian.togelius.com From dyyeung at cse.ust.hk Mon Nov 9 22:29:03 2015 From: dyyeung at cse.ust.hk (Dit-Yan Yeung) Date: Tue, 10 Nov 2015 11:29:03 +0800 Subject: Connectionists: Joint Faculty Positions, Division of Biomedical Engineering, Hong Kong University of Science and Technology (HKUST) Message-ID: <5641647F.1030607@cse.ust.hk> The Division of Biomedical Engineering at the Hong Kong University of Science and Technology is looking for outstanding candidates for substantiation-track junior faculty positions in the following strategic areas: (1) Neural Engineering and System Level Neuroscience (2) Computational Neuroscience (3) Health Data Science More information can be found here: http://www.cse.ust.hk/admin/recruitment/BME/2586.pdf -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: dyyeung.vcf Type: text/x-vcard Size: 308 bytes Desc: not available URL: From A.Soltoggio at lboro.ac.uk Wed Nov 11 05:14:11 2015 From: A.Soltoggio at lboro.ac.uk (Andrea Soltoggio) Date: Wed, 11 Nov 2015 10:14:11 +0000 Subject: Connectionists: PhD position in Autonomous Intelligent Inspection of High Value Engineering Components Message-ID: A PhD position is available in a multi-disciplinary project between the EPSRC Centre for Innovative Manufacturing in Intelligent Automation in the Wolfson School of Mechanical and Manufacturing Engineering, and the Centre for Data Science, in the Computer Science Department, School of Science at Loughborough University, UK. Research. Inspection robots can be used as a test bed to develop a set of algorithms to recognise and classify defects autonomously. Machine learning, computer vision, time series analysis and deep learning can be deployed to autonomously learn patterns that separate sound from defected components. Initial human supervision will guide the learning so that the robots can progressively improve their analysis and classification accuracy, eventually succeeding in working in complete autonomy, and even recognising new patterns potentially indicating anomalies. Supervision team: Dr. Peter Kinnell, Senior Lecturer in Metrology, EPSRC Centre for Innovative Manufacturing in Intelligent Automation, Wolfson School of Mechanical and Manufacturing Engineering Dr. Andrea Soltoggio, Lecturer in Artificial Intelligence, Centre for Data Science, Computer Science Department. Working environment. Loughborough University is ranked 11th in the 2016 UK League Table Ranking (http://www.thecompleteuniversityguide.co.uk/loughborough/performance , and is located in Loughborough, a town well connected to London by a 1h20m train journey. The student, based in the Wolfson School http://www.lboro.ac.uk/departments/mechman/ will work in collaboration with the Centre for Data Science in the Computer Science Department (School of Science) Loughborough University offers cutting-edge computing capabilities with a Hydra High Performance Computing cluster, a 1956-core 64-bit Intel Xeon cluster supplied by Bull, and GPUs computing capabilities. The EPSRC Centre for Innovative Manufacturing in Intelligent Automation is a partnership between Loughborough University, Cranfield University, Rolls-Royce, Airbus, Aero Engine Controls, and the Manufacturing Technology Centre Requirements. The ideal candidate holds (or is about to obtain) a first-class honours undergraduate/postgraduate degree (or equivalent) in Computer Science, Mathematics, Statistics, Electrical or Electronic Engineering, or has authored publications in recognised conferences/journals. Independent working skills are valued as well as the capability of working in a team. Collegiality and interpersonal skills are essential. Excellent English language skills are highly desired (see requirements here http://www.lboro.ac.uk/international/englang/index.htm) Period/Scholarship. Start: January 2016. Duration: 3 years. Scholarship (subject to university approval) : ?14,057 per annum plus tuition fees at the UK/EU rate (currently ?4,052 p.a.) Enquiries and applications. Informal enquiries are encouraged and should be addressed to Peter Kinnell P.Kinnell at lboro.ac.uk or Andrea Soltoggio (a.soltoggio at lboro.ac.uk). Interested candidates are invited to submit an application at: http://www.lboro.ac.uk/study/apply/research/ including a CV, the names and addresses of two referees, and a statement of research interest (maximum 300 words). -------------- next part -------------- An HTML attachment was scrubbed... URL: From elio.tuci at gmail.com Tue Nov 10 06:15:31 2015 From: elio.tuci at gmail.com (Elio Tuci) Date: Tue, 10 Nov 2015 11:15:31 +0000 Subject: Connectionists: CFP: International Conference on the Simulation of Adaptive Behavior (SAB 2016) Message-ID: SAB 2016: FROM ANIMALS TO ANIMATS 14 The 14th International Conference on the Simulation of Adaptive Behavior (SAB2016) 23-26 August 2016, Aberystwyth, UK http://www.sab2016.org IMPORTANT DATES: ? Tutorial Proposal Deadline: 14th December, 2015 ? Tutorial Notification of Acceptance: 11th January, 2016 ? Tutorials: 23 August, 2016 ? Paper Submission Deadline: Monday 21st March, 2016 ? Notification of Acceptance: Monday 16th May, 2016 ? Camera Ready Submission: Monday 6th June, 2016 ? Conference: 24-26 August, 2016 ORGANISING COMMITTEE ? Conference Chairs: Myra S. Wilson, John Hallam ? Program Chairs: Elio Tuci, Alexandros Giagkos ? Tutorial Chair: Fred Labrosse Scope of the Conference: The objective of this interdisciplinary conference is to bring together researchers in computer science, artificial intelligence, artificial life, control, robotics, neurosciences, ethology, evolutionary biology, and related fields in order to further our understanding of the behaviours and underlying mechanisms that allow natural and artificial animals to adapt and survive in uncertain environments. The conference will focus on experiments with well-defined models (robot models, computer simulation models, mathematical models) designed to help characterise and compare various organisational principles or architectures underlying adaptive behaviour in real animals and in synthetic agents, the animats. Conference Format Following the tradition of SAB conferences, the conference will be single track with additional poster sessions. There will also be a day of tutorials (23rd August). Relevant Research Areas SAB 2016 solicits contributions dealing with any aspect of adaptive behaviour in natural and artificial systems. Typical, but not exclusive, topics of interest are: - The Animat approach - Motor control - Body and brain co-evolution - Self-assembling and self-replication - Sensory-motor coordination - Action selection and behavioural sequencing - Navigation and mapping - Internal models and representation - Evolution, development and learning - Collective and social behaviour - Applied adaptive behaviour - Motivation and emotion - Communication and language - Emergent structures and behaviours - Neural correlates of behaviour - Evolutionary and co-evolutionary approaches - Bio-inspired and hybrid robotics - Autonomous robotics - Humanoid robotics - Cognitive and developmental robotics - Software agents and virtual creatures - Philosophical and psychological issues - Animats in education Paper Submission Instruction and Publication Details: Submitted papers must not exceed 10 pages. Detailed submission instructions are available from the conference web site (http://www.sab2016.org). All accepted papers with oral or poster presentation will be published in Springer Lecture Notes in Artificial Intelligence series conference proceedings. Selected authors may additionally be invited to submit extended versions for a conference Special Issue of the journal, Adaptive Behavior. Tutorials: The SAB 2016 organising committee invites proposals for tutorials, which will be held on the 23rd August 2016. Instructions for preparing the tutorial proposal and further details on the tutorials can be found at http://www.sab2016.org. Exhibition During SAB2016 there will be an exhibition section, where latest developments in hardware and software technologies will be displayed to the conference attendees and the press. Best Paper Award Details of the best paper award will be announced in due course. Further Information Up-to-date information will be published on the web site http://www.sab2016.org. For information about local arrangements, registration forms, etc., please refer to the web site or contact the local organisers at the address below. Conference Address Computer Science Department Llandinam Building Aberystwyth University, Aberystwyth. SY23 3DB UK Tel: +44-1970-622928 Fax: +44-1970-628536 email: sab2016-conference at isab.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Sat Nov 7 07:28:28 2015 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Sat, 7 Nov 2015 12:28:28 +0000 Subject: Connectionists: CFP: VECPAR 2016 - High Performance Computing for Computational Science Message-ID: ------------------------------------------------------------------------------------------ CALL FOR PAPERS 12th International Meeting on High-Performance Computing for Computational Science (VECPAR 2016) University of Porto, Porto, Portugal June 27 - 30, 2016 http://vecpar.fe.up.pt/2016/ ------------------------------------------------------------------------------------------- IMPORTANT DATES: Deadline for submission: January 15th, 2016 notification of acceptance: March 3rd, 2016 camera? ready version: April 25th, 2016, on easychair.org. The International Meeting on High? Performance Computing for Computational Science (VECPAR) is the premier venue for presenting and discussing the latest research and practice in high? end computer modeling and complex systems. VECPAR encourages submission of research contributions from academia, research laboratories and industry to address pressing issues in computational science resulting from applications of interest to society and hardware innovations. VECPAR'16, the 12th edition of the VECPAR series of conferences is organized by the University of Porto, Portugal, and will be held at the Department of Computer Science, School of Sciences. An award is planned for best student papers. Contributions are solicited in all areas of computational science and engineering (CS&E), including (but not limited to) the following topics: * Large? scale Simulations in CS&E * Parallel and Distributed Computing * Parallel Algorithms * Numerical Algorithms on Multicore, GPUs and Emerging Architectures * Symbolic algorithms on Multicore, GPUs and Emerging Architectures * Support Tools and Environments * Scheduling and Load Balancing * Performance Analysis, Evaluation and Tuning You should make your submissions through EasyChair at: https://www.easychair.org/conferences/?conf=vecpar2016 Submitted papers must be formatted according to the rules of the Springer Series Lecture Notes in Computer Science (LNCS): http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 Please note that papers (for conference presentation) must not exceed 8 pages in length, using the LNCS format. Accepted papers will be distributed in electronic format to participants of VECPAR'16. Printed versions of the invited talks and a set of selected papers will be published by Springer in the series entitled Lecture Notes in Computer Science. Selected papers will be limited to 14 pages and will be judged based on relevance, significance, originality, correctness and clarity. More information about this process will be sent to interested authors after the conference. Carlos Ferreira [http://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png] ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt -------------- next part -------------- An HTML attachment was scrubbed... URL: From boracchi at elet.polimi.it Tue Nov 10 16:00:25 2015 From: boracchi at elet.polimi.it (Giacomo Boracchi) Date: Tue, 10 Nov 2015 22:00:25 +0100 Subject: Connectionists: =?utf-8?q?Special_Issue_on_=E2=80=9CModel_Complex?= =?utf-8?q?ity=2C_Regularization_and_Sparsity=E2=80=9D_in_IEEE_Comp?= =?utf-8?q?utational_Intelligence_Magazine?= Message-ID: *Call for Papers* *IEEE Computational Intelligence Magazine* *Special Issue on ?Model Complexity, Regularization and Sparsity?* http://home.deib.polimi.it/boracchi/events/ModelComplexity.html *Aims and Scope* The effective management of solution complexity is one of the most important issues in addressing Computational Intelligence problems. Regularization techniques control model complexity by taking advantage of some prior information regarding the problem at hand, represented as penalty expressions that impose these properties on the solution. Over the past few years, one of the most prominent and successful types of regularization has been based on the *sparsity* prior, which promotes solutions that can be expressed as a linear combination of a few atoms belonging to a *dictionary*. Sparsity can in some sense be considered a ?measure of simplicity? and, as such, is compatible with many nature-inspired principles of Computational Intelligence. Nowadays, sparsity has become one of the leading approaches for learning adaptive representations for both descriptive and discriminative tasks, and has been shown to be particularly effective when dealing with structured, complex and high-dimensional data. Regularization, including sparsity and other priors to control the model complexity, is often the key ingredient in the successful solution of difficult problems; it is therefore not surprising that these aspects have also recently gained a lot of attention in big-data processing, due to unprecedented challenges associated with the need to handle massive datastreams that are possibly high-dimensional and organized in complex structures. This special issue aims at presenting the most relevant regularization techniques and approaches to control model complexity in Computational Intelligence. Submissions of papers presenting regularization methods for Neural Networks, Evolutionary Computation or Fuzzy Systems, are welcome. Submissions of papers presenting advanced regularization techniques in specific, but relevant, application fields such as data/datastream-mining, classification, big-data analytics, image/signal analysis, natural-language processing, are also encouraged. *Topics of Interest* ? Regularization methods for big and high-dimensional data; ? Regularization methods for supervised and unsupervised learning; ? Regularization methods for ill-posed problems in Computational Intelligence; ? Techniques to control model complexity; ? Sparse representations in Computational Intelligence; ? Managing model complexity in data analytics; ? Effective priors for solving Computational Intelligence problems; ? Multiple prior integration; ? Regularization in kernel methods and support vector machines. *Important Dates* ? 22nd January, 2016: Submission of Manuscripts ? 30th March, 2016: Notification of Review Results ? 30th April, 2016: Submission of Revised Manuscripts ? 15th June, 2016: Submission of Final Manuscripts ? November, 2016: Special Issue Publication *Submission Process* The maximum length for the manuscript is typically 20 pages in single column with double-spacing, including figures and references. Authors of papers should specify in the first page of their manuscripts the corresponding author?s contact and up to 5 keywords. Additional information about submission guidelines and information for authors is provided at the IEEE CIM website. Submission instructions can be found at http://home.deib.polimi.it/boracchi/events/ModelComplexity.html *Guest Editors* *Prof. Cesare Alippi,* Dipartimento di Elettronica, Informazione e Biongegneria, Politecnico di Milano, via Ponzio 34/5, Milano, 20133, Italy email: cesare.alippi at polimi.it *Dr. Giacomo Boracchi*, Dipartimento di Elettronica, Informazione e Biongegneria, Politecnico di Milano, via Ponzio 34/5, Milano, 20133, Italy email: giacomo.boracchi at polimi.it *Dr. Brendt Wohlberg*, Theoretical Division, Los Alamos National Laboratory, Los Alamos NM 87545, USA email: brendt at lanl.gov -- Giacomo Boracchi, PhD DEIB - Dipartimento di Elettronica, Informazione e Bioingegneria Politecnico di Milano Via Ponzio, 34/5 20133 Milano, Italy. Tel. +39 02 2399 3467 http://home.dei.polimi.it/boracchi/ -- Giacomo Boracchi, PhD DEIB - Dipartimento di Elettronica, Informazione e Bioingegneria Politecnico di Milano Via Ponzio, 34/5 20133 Milano, Italy. Tel. +39 02 2399 3467 http://home.dei.polimi.it/boracchi/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From arnaud.blanchard at ensea.fr Sat Nov 7 12:10:05 2015 From: arnaud.blanchard at ensea.fr (Arnaud Blanchard) Date: Sat, 7 Nov 2015 18:10:05 +0100 Subject: Connectionists: IEEE ICDL-EPIROB 2016, Sept. 19-22th, Cergy-Pontoise/Paris, France (submission April 1st) Message-ID: Call for Papers & Call for Tutorials and Special Sessions IEEE ICDL-EPIROB 2016 The Sixth Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics Cergy-Pontoise / Paris, France September 19-22th, 2016 http://www.icdl-epirob.org == Conference description The past decade has seen the emergence of a new scientific field that studies how intelligent biological and artificial systems develop sensorimotor, cognitive and social abilities, over extended periods of time, through dynamic interactions with their physical and social environments. This field lies at the intersection of a number of scientific and engineering disciplines including Neuroscience, Developmental Psychology, Developmental Linguistics, Cognitive Science, Computational Neuroscience, Artificial Intelligence, Machine Learning, and Robotics. Various terms have been associated with this new field such as Autonomous Mental Development, Epigenetic Robotics, Developmental Robotics, etc., and several scientific meetings have been established. The two most prominent conference series of this field, the International Conference on Development and Learning (ICDL) and the International Conference on Epigenetic Robotics (EpiRob), are now joining forces for the sixth time and invite submissions for a joint conference in 2016, to explore and extend the interdisciplinary boundaries of this field. == Keynote speakers * Tamim Asfour (http://h2t.anthropomatik.kit.edu/english/21_66.php ) * Karl Friston (http://www.fil.ion.ucl.ac.uk/~karl ) * Julie Grezes (http://iec-lnc.ens.fr/social-cognition-group/membres-100/faculty-177/grezes-julie-dr2/?lang=en ) Others to be confirmed. == Call for Submissions We invite submissions for this exciting window into the future of developmental sciences. Submissions which establish novel links between brain, behavior and computation are particularly encouraged. == Topics of interest include (but are not limited to): * the development of perceptual, motor, cognitive, emotional, social, and communication skills in biological systems and robots; * embodiment; * general principles of development and learning; * interaction of nature and nurture; * sensitive/critical periods; * developmental stages; * grounding of knowledge and development of representations; * architectures for cognitive development and open-ended learning; * neural plasticity; * statistical learning; * reward and value systems; * intrinsic motivations, exploration and play; * interaction of development and evolution; * use of robots in applied settings such as autism therapy; * epistemological foundations and philosophical issues. Any of the topics above can be simultaneously studied from the neuroscience, psychology or modeling/robotic point of view. == Submissions will be accepted in several formats: 1. Full six-page paper submissions: Accepted papers will be included in the conference proceedings and will be selected for either an oral presentation or a featured poster presentation. Featured posters will have a 1 minute "teaser" presentation as part of the main conference session and will be showcased in the poster sessions. 2. Two-page poster abstract submissions: To encourage discussion of late-breaking results or for work that is not sufficiently mature for a full paper, we will accept 2-page abstracts. These submissions will NOT be included in the conference proceedings. Accepted abstracts will be presented during poster sessions. 3. Tutorials and workshops: We invite experts in different areas to organize either a tutorial or a workshop to be held on the first day of the conference. Tutorials are meant to provide insights into specific topics as well as overviews that will inform the interdisciplinary audience about the state-of-the-art in child development, neuroscience, robotics, or any of the other disciplines represented at the conference. A workshop is an opportunity to present a topic cumulatively. Workshop can be half- or full-day in duration including oral presentations as well as posters. Submission format: two pages. == Call for Tutorials and Workshops We invite experts in different areas to organize a tutorial or workshop, which will be held on the first day of the conference. Participants in tutorials and workshops are asked to register for the main conference. Tutorials are meant to provide insights into specific topics as well as overviews that will inform the interdisciplinary audience about the state-of-the-art in child development, neuroscience, robotics, or any of the other disciplines represented at the conference. A workshop is an opportunity to present a topic cumulatively. Workshop can be half- or full-day in duration including oral presentations as well as posters. Submissions (max. two pages) should be sent no later than April 1st, 2016 to: Sofiane Boucenna sofiane.boucenna at ensea.fr Alexandre Pitti alexandre.pitti at ensea.fr including: * Title of tutorial or workshop; * Tutorial/workshop speaker(s), including short CVs/affiliations and other relevant information; * Concept of the tutorial/workshop; target audience or prerequisites. All proposals submitted will be subjected to a peer review process. == Important dates * April 1st, 2016, paper submission deadline * June 1st, 2016, author notification * July 1st, 2014, final version (camera ready) due * September 19th-22nd, 2014, conference == Program committee General chairs: * Minoru Asada Osaka (Japan). * Philippe Gaussier, Cergy-Pontoise (France). Program chairs: * Verena Hafner, Berlin (Germany) * Alexandre Pitti, Cergy-Pontoise (France) Bridge chairs: ? David Cohen, Paris (France) ? Mathew Schlesinger, Southern Illinois (USA) Publication chairs: * Sofiane Boucenna, Cergy-Pontoise (France) Publicity chairs: * Arnaud Blanchard, Cergy-Pontoise (France) * Manuel Lopes, Bordeaux (France) * Yulia Sandamirskaya, Bochum (Germany) Local chairs: * Pierre Andry, Cergy-Pontoise (France) * Nicolas Cuperlier, Cergy-Pontoise (France) Finance chairs: * Ghil?s Mostafaoui, Cergy-Pontoise (France) -------------- next part -------------- An HTML attachment was scrubbed... URL: From irina.illina at loria.fr Thu Nov 12 15:49:08 2015 From: irina.illina at loria.fr (Irina Illina) Date: Thu, 12 Nov 2015 21:49:08 +0100 (CET) Subject: Connectionists: Master2 (research) position at Multispeech Team, LORIA (Nancy, France) In-Reply-To: <571553580.11780916.1445982942371.JavaMail.zimbra@loria.fr> References: <571553580.11780916.1445982942371.JavaMail.zimbra@loria.fr> Message-ID: <441453686.18103579.1447361348467.JavaMail.zimbra@loria.fr> Master2 position at Multispeech Team, LORIA (Nancy, France) Automatic speech recognition: contextualisation of the language model based on neural networks by dynamic adjustment ? Framework of ANR project ContNomina The technologies involved in information retrieval in large audio/video databases are often based on the analysis of large, but closed, corpora, and on machine learning techniques and statistical modeling of the written and spoken language. The effectiveness of these approaches is now widely acknowledged, but they nevertheless have major flaws, particularly for what concern proper names, that are crucial for the interpretation of the content. ? In the context of diachronic data (data which change over time) new proper names appear constantly requiring dynamic updates of the lexicons and language models used by the speech recognition system. ? As a result, the ANR project ContNomina (2013-2017) focuses on the problem of proper names in automatic audio processing systems by exploiting in the most efficient way the context of the processed documents. To do this, the student will address the contextualization of the recognition module through the dynamic adjustment of the language model in order to make it more accurate. ? Subject Current systems for automatic speech recognition are based on statistical approaches. They require three components: an acoustic model, a lexicon and a language model. This stage will focus on the language model. The language model of our recognition system is based on a neural network learned from a large corpus of text. The problem is to re-estimate the language model parameters for a new proper name depending on its context and a small amount of adaptation data. Several tracks can be explored: adapting the language model, using a class model or studying the notion of analogy. ? Our team has developed a fully automatic system for speech recognition to transcribe a radio broadcast from the corresponding audio file. The student will develop a new module whose function is to integrate new proper names in the language model. ? Required skills Background in statistics and object-oriented programming. ? Localization and contacts Loria laboratory, Multi speech team , Nancy, France Irina.illina at loria.fr dominique.fohr at loria.fr Candidates should email a detailed CV and diploma -- Associate Professor Lorraine University LORIA-INRIA office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -------------- next part -------------- An HTML attachment was scrubbed... URL: From dyyeung at cse.ust.hk Wed Nov 11 20:03:47 2015 From: dyyeung at cse.ust.hk (Dit-Yan Yeung) Date: Thu, 12 Nov 2015 09:03:47 +0800 Subject: Connectionists: Faculty Positions, Department of Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST) Message-ID: <5643E573.707@cse.ust.hk> The Department of Computer Science and Engineering at the Hong Kong University of Science and Technology will have substantiation-track faculty openings at all levels of Professor, Associate Professor and Assistant Professor for the 2016-2017 academic year. We are looking for outstanding candidates with demonstrated research expertise and experience in one or more of the following areas: * Cybersecurity * Deep learning * Robotics * Human-computer interaction More information can be found here: http://www.cse.ust.hk/admin/recruitment/faculty/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: dyyeung.vcf Type: text/x-vcard Size: 308 bytes Desc: not available URL: From a.pons at upc.edu Thu Nov 12 09:23:15 2015 From: a.pons at upc.edu (antonio) Date: Thu, 12 Nov 2015 15:23:15 +0100 Subject: Connectionists: ICANN 2016 First Announcement Message-ID: <5644A0D3.7070001@upc.edu> 1st Call for Papers 1st Call for special sessions, workshops, demonstrations ============================================================ ICANN 2016 *www.icann2016.org* *ICANN 2016 * 25th Annual Conference on Artificial Neural Networks BarcelonaTech (UPC), Barcelona, Spain 6 - 9 September 2016* Special event*: ENNS 25th Anniversary ============================================================ /The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2016 the Universitat Polit?cnica de Catalunya (BarcelonaTech) will organize the 25th ICANN Conference from //the //6th to //the //9th //of //September 2016 in Barcelona, Spain, in collaboration with the Universit//at//Pompeu Fabra (UPF)./ *INVITED KEYNOTE SPEAKERS* 1. *Wlodek Duch *(Nicolaus Copernicus University, Torun, Poland) 2. *Erkki Oja *(Aalto University, Helsinki, Finland) 3. *Joaquin Fuster *(University of California at Los Angeles, USA) 4. *Murray Shanahan* (Imperial College London, UK) 5. *G?nther Palm*(University of Ulm, Germany) 6. *Stephen Coombes *(University of Nottingham, UK) 7. *Etienne Koechlin*( Pierre and Marie Curie University, France) *IMPORTANT DATES* /Special session / workshop proposals: /15 January 2016 /Proposals for competitions and tutorials:/31 January 2016 /Submission of abstracts and papers: /1 March 2016 /Submission of //d//emonstration proposals: /1 March 2016 /Notification of acceptance:/8 May 2016 /Camera-ready paper and registration: /15 May 2016 /Conference dates:/6-9 September 2016 *CONFERENCE TOPICS* ICANN 2016 will feature the main tracks /Brain Inspired computing/ and /Machine Learning research/, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: * Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organization, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Recurrent Networks, Deep Learning. * Machine Learning: Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models. * Neural Applications for: Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. *CONFERENCE OBJECTIVES* - To bring together researchers from two worlds: Information Sciences and Neurosciences - To keep a wide scope, ranging from Machine Learning Algorithms to models of real nervous systems - To facilitate discussions and interactions in the effort towards developing more intelligent computational systems and increasing our understanding of neural and cognitive processes in the brain. - To help researchers to meet, mingle and network with colleagues from all over the world. - To be the meeting point between research and business. - To be a global interdisciplinary meeting encompassing Machine Learning and Neural Computation. *BENEFITS OF ATTENDING THE CONFERENCE* - A solid cutting-edge scientific programme including talks from the world experts in the field of artificial neural networks. - A conference schedule tailored to encourage interaction between the attendees, with time for networking and discussion. - The publication of all accepted contributions in the peer-reviewed book of conference proceedings, in the Springer-Verlag Lecture Notes in Computer Science (LNCS) series. - The opportunity to vote and to be considered for the best paper awards, presented during the final ceremony of ICANN. - A top-level conference in the field with a reasonable registration fee, thanks to the not-for-profit policy of the ENNS organisation. Students can apply for ENNS funded travel grants to attend. - An overly attractive conference location in the beautiful Barcelona, Spain, and social events letting you explore the area. - The participation in a special event to celebrate the 25th Anniversary of ICANN for all the ENNS members. *CONFERENCE REGISTRATION FEES* Early registration fees have been kept particularly low for this kind of event because ENNS and ICANN aim at full implementation of the academic not-for-profit policy. Undergraduate students (Bachelor and Master level): 90 EUR PhD Students: 200 EUR Regular delegates: 250 EUR *ENNS members have a reduction of 40 EUR* Students can apply for ENNS funded travel grants to attend (see the conference website). *CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS* All scientific communications presented at ICANN 2016 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature three categories of communications: - oral communications (15'+5') - poster communications (on permanent display and 2 hours presentation) - demonstrations Authors willing to present original contributions for any category must submit a manuscript of maximum 8 pages length that will be refereed to international standards by at least three referees. Accepted papers of contributing authors will be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series. Selected papers will be invited after the conference for a full journal paper submission. Authors willing to present a contribution for oral communications and posters without submitting an full manuscript must submit a 1-page abstract that will also be refereed by at least three referees. The abstracts will be published all together in a proceedings section without an author index. In case of program constraints the priority will be given to original contributions accompanied by a full paper submission. Submission of communications will be online. More details are available on the conference website. *WORKSHOPS, SPECIAL SESSIONS, DEMONSTRATIONS,* *COMPETITION PROPOSALS and TUTORIALS* ICANN 2016 invites proposals for workshops, special sessions, demonstrations, competitions and tutorials to be held during the conference. For more information, please refer to the website. *BEST PAPER AWARDS* ENNS will sponsor a maximum of four best paper awards, two in the Brain Inspired Computing track (one poster and one oral communication) and two in the Machine Learning research track. All awardees will be presented during the final ceremony. *ORGANISATION** General Chair:*/ Antonio J. Pons Rivero/(UPC Barcelona, Spain)* Local**co-Chairs:* /Jordi Garcia-Ojalvo/(UPF Barcelona, Spain), /Paul Verschure/(UPF Barcelona, Spain) *Organising Committee Chairs:*/ Daniel Malagarriga/(UPC Barcelona, Spain), /Lara Escuain/(UPC Barcelona, Spain), /Caroline Kleinheny/(ENNS Lausanne, Switzerland) *Communication* *Chair:*/ Paolo Masulli/(ENNS Lausanne, Switzerland) *********************************************** Antonio J. Pons Rivero General Chair of ICANN 2016 Terrassa School of Industrial and Aeronautical Engineering (ETSEIAT) Nonlinear dynamics, nonlinear optics and lasers Group BarcelonaTech (UPC) Edifici GAIA Rbla. Sant Nebridi, 22 08222 Terrassa, Spain Caroline Kleinheny Secretary of the European Neural Network Society University of Lausanne Internef 137k, Quartier UNIL Dorigny 1015 Lausanne, Switzerland *********************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: hagabjci.png Type: image/png Size: 188255 bytes Desc: not available URL: From sliman.bensmaia at gmail.com Sat Nov 14 21:00:52 2015 From: sliman.bensmaia at gmail.com (Sliman Bensmaia) Date: Sat, 14 Nov 2015 20:00:52 -0600 Subject: Connectionists: Graduate Training in Neuroscience at the University of Chicago Message-ID: Apply for *graduate training in neuroscience * at the University of Chicago, where a large *neuroscience faculty * provides stimulating research opportunities at levels ranging from genes and molecules to computation and human behavior, in laboratories distributed across eight departments in the biological, social, and physical sciences. *Applications for entry in the Fall of 2016 are now being accepted, with a deadline of December 1, 2015. * Graduate training is organized into three programs with different emphases. For information about each program and how to apply, follow the links: - The *Program in Neurobiology *covers a broad spectrum of subfields, including molecular and developmental neurobiology, cellular and synaptic electrophysiology and imaging, and neurobiology of disease. - The *Program in Computational Neuroscience * emphasizes quantitative approaches to experimental neuroscience, including mathematical methods and computational modeling of the nervous system. - The *Integrative Neuroscience Program * focuses on the biological basis of complex behaviors. -- ________________________________________________________ Sliman Bensmaia Associate Professor Department of Organismal Biology and Anatomy University of Chicago 773.834.5203 http://bensmaialab.org ________________________________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From michel.verleysen at uclouvain.be Sun Nov 15 09:26:21 2015 From: michel.verleysen at uclouvain.be (Michel Verleysen) Date: Sun, 15 Nov 2015 14:26:21 +0000 Subject: Connectionists: ESANN 2016 deadline extension Message-ID: <7cc102c45d7f4bad9bd9a26554aae8cf@ucl-mbx06.OASIS.UCLOUVAIN.BE> ====================================================== ESANN 2016 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges (Belgium) - April 27-28-29, 2016 http://www.esann.org/ *** Submission deadline extension *** ====================================================== Due to numerous requests, the deadline to submit papers to the ESANN 2016 conference has been extended to November 27, 2015. Please note that no further extension will be given. Looking forward to seeing you at ESANN 2016, The organizing committee. ======================================================== ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning http://www.esann.org/ * For submissions of papers, reviews, registrations: Michel Verleysen Univ. Cath. de Louvain - Machine Learning Group 3, pl. du Levant - B-1348 Louvain-la-Neuve - Belgium tel: +32 10 47 25 51 - fax: + 32 10 47 25 98 mailto:esann at uclouvain.be * Conference secretariat d-side conference services 24 av. L. Mommaerts - B-1140 Evere - Belgium tel: + 32 2 730 06 11 - fax: + 32 2 730 06 00 mailto:esann at uclouvain.be ======================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From xfern at eecs.oregonstate.edu Mon Nov 16 02:09:24 2015 From: xfern at eecs.oregonstate.edu (Xiaoli Fern) Date: Sun, 15 Nov 2015 23:09:24 -0800 Subject: Connectionists: Tenure-track position at Oregon State Unviersity in Data Science and Engineering Message-ID: <56498124.4080309@eecs.oregonstate.edu> Oregon Sate EECS is hiring in the broad area of Data Science and Engineering. Details can be found at http://eecs.oregonstate.edu/jobs The School of Electrical Engineering and Computer Science at Oregon State University invites applications for one or more full time nine-month tenure-track faculty positions in the area of data science and engineering broadly construed. Subareas of interest include (but are not limited to) databases and data management, visualization and visual analytics, security, data mining, and signal processing for big data. The appointments are anticipated at the Assistant Professor rank, but exceptionally strong candidates may be considered at the rank of Associate Professor or Professor. A Ph.D. in Computer Science, Electrical and Computer Engineering, or related field is required by the start of employment. Duties include teaching undergraduate and graduate courses, conducting research in the area of interest, securing research funding, and service. Candidates should show evidence of strong research promise, potential for developing an externally funded research program, and commitment to quality advising and teaching at the graduate and undergraduate levels. Applicants should demonstrate a strong commitment to collaboration with other research groups in the School of EECS, with other departments at Oregon State University, and outside the university. Applicants who are women or under-represented minorities are strongly encouraged to apply. The school of EECS emphasizes a culture of collegiality and excellence in both research and education. With 56 tenured/tenure-track faculty, we enroll 200 PhD, 250 MS and 2,800 undergraduate students. Oregon State University is located in Corvallis, a college town renowned for its high quality of life. For full consideration, apply online by Feb 15, 2016 with a letter of interest; vita; two-page statement of research interests; one-page statement of teaching interests; one-page statement of philosophy toward equity, inclusion and diversity; and names and contact information for at least three references. For more information, visit eecs.oregonstate.edu/jobs. -------------- next part -------------- An HTML attachment was scrubbed... URL: From eero at cns.nyu.edu Mon Nov 16 15:38:38 2015 From: eero at cns.nyu.edu (Eero Simoncelli) Date: Mon, 16 Nov 2015 15:38:38 -0500 (EST) Subject: Connectionists: Joint Faculty Position at NYU, in Neural Science and Data Science Message-ID: <201511162038.tAGKcc615536@calaf.cns.nyu.edu> The Center for Neural Science (CNS) and Center for Data Science (CDS) at New York University invite applications for an open rank faculty position from candidates with research programs aimed at quantitative analyses and modeling of neural data. We are particularly interested in scholars with cross-disciplinary research interests that complement those of our existing faculty. Current listings of faculty may be viewed at: http://www.cns.nyu.edu/faculty.php and http://cds.nyu.edu/people The deadline for receipt of applications is January 15, 2016. For further information, and application instructions, visit: http://www.cns.nyu.edu/faculty-search/ or http://cds.nyu.edu/opportunities/ From edizquie at indiana.edu Mon Nov 16 11:44:00 2015 From: edizquie at indiana.edu (Izquierdo, Eduardo J.) Date: Mon, 16 Nov 2015 16:44:00 +0000 Subject: Connectionists: Call for Workshops/Tutorials at Alife XV Message-ID: CALL FOR WORKSHOPS AND TUTORIALS The ALife XV Organizing Committee invites proposals for Tutorials and Workshops to be held in conjunction with the Fifteenth International Conference on the Synthesis and Simulation of Living Systems (ALife XV), which will be held in Cancun, Mexico on July 4th-8th, 2016. http://xva.life If accepted, ALife will provide the onsite logistics (seminar rooms, projectors, coffee breaks, and lunches) and links from the main conference website. All other organizational issues ? including separate review process and proceedings publication, if any ? are taken care of by the workshop chairs. Therefore, any workshop-specific requests from participants should be exclusively addressed to them, not to the ALife committee. The internal organization of the satellite workshops and tutorials (website, paper submission, invited talks, proceedings, all deadlines except registration) is entirely left up to their respective organizers. Participation in workshops and tutorials requires conference registration. IMPORTANT DATES Submission of Workshop/Tutorial Proposals is open now. We will receive applications until January 15th, 2016. The notification of acceptance will be given within two weeks of receiving the proposal. Workshop/Tutorial Information and/or submission proposal: workshops at xva.life WORKSHOP PROPOSALS The ALife XV workshops are intended to be forums to present and discuss new approaches, visions, or critical reflections within a research area. They provide an excellent opportunity to meet people with similar interests, to be exposed to cutting-edge research and to exchange ideas in an informal setting. The organizers of an accepted workshop are responsible for its coordination and its publicity (e.g., for sending out call for papers/abstracts), for collecting and reviewing the papers/abstracts, and for maintaining a webpage providing a list of accepted talks. The workshops are typically half day long. The format can be decided by the organizers who are encouraged to plan interactive sessions. TUTORIAL PROCESS ALife XV tutorials will be presented by domain experts to cover current topics relevant to artificial life researchers and practitioners. Each tutorial will be 3 hours long, then we encourage to include into the tutorial also demos and interactive activities. Accepted tutorial?s slide sets will be published on ALife XV website. SUBMISSION PROCESS Each tutorial/workshop proposal should include: 1) title of the workshop/tutorial 2) name(s) and affiliation(s) of the organizer(s)/inspector(s), with relative contact details 3) a short CV of the organizer(s)/instructor(s) 4) a brief description (half-page) of the workshop/tutorial topics Only for workshops: 5) potential target participants and audience 6) roughly approximated number of participants 7) rough estimate of the number of talks All proposals must be sent to: workshops at xva.life Looking forward to your submissions. Best wishes, Eduardo J. Izquierdo, ALife XV Workshop Chair Assistant Professor, Cognitive Science Program, Indiana University -------------- next part -------------- An HTML attachment was scrubbed... URL: From smyth at ics.uci.edu Mon Nov 16 16:20:52 2015 From: smyth at ics.uci.edu (Padhraic Smyth) Date: Mon, 16 Nov 2015 13:20:52 -0800 Subject: Connectionists: faculty position in AI/ML/NLP at UC Irvine Message-ID: FACULTY POSITION IN AI/NLP/MACHINE LEARNING AT UC IRVINE The Department of Computer Science at the University of California, Irvine is seeking applications for an open faculty position from qualified applicants in any of the following areas: artificial intelligence, machine learning, or natural language processing. UC Irvine has international visibility broadly in AI/ML with faculty such as Rina Dechter, Anima Anandkumar, Pierre Baldi, Alex Ihler, and Padhraic Smyth, as well as strong research groups in closely related areas such as computer vision, cognitive science, bioinformatics, and databases. The computer science department is collocated in the same school and building with the Department of Statistics and the Department of Informatics, offering a rich collaborative research environment. AI and machine learning have high visibility on campus through a number of different centers and institutes, including the Center for Machine Learning and Intelligent Systems (http://cml.ics.uci.edu), the newly formed UCI Data Science Initiative (http://datascience.uci.edu), and the Institute for Genomics and Bioinformatics http://www/igb/uci.edu), providing many excellent opportunities for collaboration with faculty and researchers across a wide variety of disciplines on campus. About UC Irvine: One of the youngest University of California campuses, UC Irvine is ranked first in the United States and fifth in the world among universities less than 50 years old, according to The Times Higher Education survey. Compensation is competitive, and includes priority access to purchase on-campus faculty housing at below-market prices. UC Irvine is located 4 miles from the Pacific Ocean and 45 miles south of Los Angeles. The area offers an excellent year-round Mediterranean climate, numerous recreational and cultural opportunities, and one of the highest-ranked public school systems in the nation. Full application details can be found at: https://recruit.ap.uci.edu/apply/JPF03163 (tenure-track assistant level) https://recruit.ap.uci.edu/apply/JPF03166 (tenured associate level) The appointment may be made at either the assistant or associate level. The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. A recipient of an NSF ADVANCE award for gender equity, UCI is responsive to the needs of dual career couples, supports work-life balance through an array of family-friendly policies, and is dedicated to broadening participation in higher education. -- --------------------------- Padhraic Smyth Professor, Department of Computer Science Director, UCI Data Science Initiative University of California, Irvine, CA 92697-3435 www.ics.uci.edu/~smyth www.datascience.uci.edu tel: 949 824 2558 email: smyth at ics.uci.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From robert.jenssen at uit.no Thu Nov 19 03:06:22 2015 From: robert.jenssen at uit.no (Jenssen Robert) Date: Thu, 19 Nov 2015 08:06:22 +0000 Subject: Connectionists: Open postdoctoral postition in the Machine Learning @ UiT Lab Message-ID: <1447920382605.62932@uit.no> The Machine Learning @ UiT Lab http://site.uit.no/ml, directed by Robert Jenssen http://ansatte.uit.no/robert.jenssen, has an open postdoctoral position for developing the next generation learning machines. For details, please see http://www.jobbnorge.no/en/available-jobs/job/119439/postdoctoral-research-fellow-in-machine-learning-at-the-department-of-physics-and-technology The position is for three years, with funding available for spending up to one year abroad for international collaboration. The position is part of a prestigious FRIPRO grant by the Research Council of Norway, as one of Norway's groundbreaking ICT projects. The successful candidate will join the Machine Learning @ UiT Lab, a vibrant group at the "north pole", with excellent national and international connections. Please contact Robert Jenssen (robert.jenssen at uit.no) for more info, or for setting up informal Skype. Robert will attend NIPS, and will be available for any interested candidate. --- Robert Jenssen URL: ansatte.uit.no/robert.jenssen Machine Learning @ UiT Lab: site.uit.no/ml Electrical Engineering, Group Leader Department of Physics and Technology, Board Member University of Tromso, Norway -------------- next part -------------- An HTML attachment was scrubbed... URL: From drl at cs.cmu.edu Tue Nov 17 07:50:23 2015 From: drl at cs.cmu.edu (Dan Licata) Date: Tue, 17 Nov 2015 07:50:23 -0500 Subject: Connectionists: faculty position at Wesleyan University Message-ID: <0DF6EE3D-E1DF-4B4E-A4DC-D5185F675695@cs.cmu.edu> Dear all, I was a PhD student in CSD a few years ago and am currently at Wesleyan University, a research-focused liberal arts institution. We have a tenure-track opening this year, and machine learning is one of our target areas. I am writing to this list specifically because we are looking for candidates who could collaborate with researchers in our Neuroscience and Behavior program. If you are not on the job market this year but have friends/students who are, I would appreciate you passing on this announcement. -Dan The Department of Mathematics and Computer Science at Wesleyan University invites applications for a tenure track assistant professorship in Computer Science to begin in fall 2016. Candidates must have a Ph.D. in hand by the time of appointment, and must have a strong research record and experience in teaching. Wesleyan currently has a strong research group in theory, programming languages, and software engineering and a 2-1 teaching load (three courses per year). We encourage candidates in all areas of Computer Science to apply but the department is especially interested in databases, machine learning, natural language processing, software engineering and software systems. Prospective candidates should not feel constrained by this list, particularly those who would contribute to the diversity of the faculty. We will begin reviewing applications on Dec. 1, 2015. Applications should include a cover letter, curriculum vitae, research statement, teaching statement and at least four letters of recommendation, one of which discusses teaching. As part of your teaching statement we invite you to describe your cultural competencies and experiences engaging a diverse student body. Applications must be submitted online at academicjobsonline.org. https://academicjobsonline.org/ajo/jobs/5939 Other correspondence regarding this position may be sent to cssearch at wesleyan.edu. Wesleyan University is an Affirmative Action/Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex, national origin, disability, protected veteran status, or other legally protected status. We welcome applications from women and historically underrepresented minority groups. Inquiries regarding Title IX, Section 504, or any other non-discrimination policies should be directed to: Antonio Farias, VP for Equity & Inclusion, Title IX and ADA/504 Coordinator, 860-685-3927, afarias at wesleyan.edu. From c.clopath at imperial.ac.uk Fri Nov 20 14:01:28 2015 From: c.clopath at imperial.ac.uk (Claudia Clopath) Date: Fri, 20 Nov 2015 19:01:28 +0000 Subject: Connectionists: Faculty positions at Imperial College London Message-ID: Faculty positions at Imperial College London (at the Assistant and Associate Professor level). We are looking for expertise at the interface between neuroscience and engineering in the broad sense. New hires would be invited to join the Centre for Neurotechnology (http://www.imperial .ac.uk/neurotechnology). Deadline: Dec 4th 2015. Details: http://www.nature.com/naturejobs/science/jobs/552975-lecturers-senior-lecturers-bioengineering Best, Claudia Clopath Imperial College London http://www.bg.ic.ac.uk/research/c.clopath/lab -------------- next part -------------- An HTML attachment was scrubbed... URL: From paul.zhutovsky at gmail.com Tue Nov 17 06:39:19 2015 From: paul.zhutovsky at gmail.com (Paul Zhutovsky) Date: Tue, 17 Nov 2015 12:39:19 +0100 Subject: Connectionists: PhD Position in Deep Learning & Visual Neuroscience Message-ID: Hi there, we at EyeQuant, a visual neuroscience / machine learning startup based in Berlin have teamed up with a Marie Curie training network to offer a fully salaried PhD candidate position at the rapidly advancing intersection of Deep Learning, Computer Vision and Visual Neuroscience, starting as soon as possible. This is a really unique opportunity to obtain a PhD through a prestigious programme while working with and at a successful technology software startup, enabling you to simultaneously advance your career prospects both inside and outside of academia. Your supervisor and PI will be neuroscientist and EyeQuant co-founder Prof. Dr. Peter K?nig, who is the Director of the Institute of Cognitive Science and Head of the Neurobiopsychology Lab at the University of Osnabr?ck, Germany. You will be based in EyeQuant?s Berlin HQ, with regular trips to our Lab in Osnabr?ck. You can find more details and next steps here: http://jobs.eyequant.com/o/phd-candidate-research-engineer-in-deep-learning-visual-neuroscience Please note that in order to be eligible for the MARIE SK?ODOWSKA-CURIE grant, you must not have carried out your main research activity for more than 12 months in Germany in the previous 36 months. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ghumana at upmc.edu Mon Nov 16 22:30:07 2015 From: ghumana at upmc.edu (Ghuman, Avniel) Date: Tue, 17 Nov 2015 03:30:07 +0000 Subject: Connectionists: Intracranial Human Electrophysiology Postdoctoral Position, Pittsburgh, Pennsylvania, USA In-Reply-To: <20385F716E75B746A7F52BBB3C46A13006E96070@MSXMBXNSPRD15.acct.upmchs.net> References: <20385F716E75B746A7F52BBB3C46A13006E96070@MSXMBXNSPRD15.acct.upmchs.net> Message-ID: <20385F716E75B746A7F52BBB3C46A13006E966D8@MSXMBXNSPRD15.acct.upmchs.net> Applications are invited for a postdoctoral position using intracranial recordings in humans to study the neural basis of face recognition and social and affective perception, at the University of Pittsburgh, USA. The research will focus on understanding the dynamic neural code that underlies the recognition of faces, bodies, facial expressions, and other social and affective stimuli. Of particular interest is how this information is coded in interactive neural circuits at the level of large-scale brain networks. The neural data will primarily be local field potentials/ event related potential from intracranial surface electrodes (electrocorticography, ECoG), cortical depth electrodes, and subcortical depth electrodes in humans. Multivariate techniques and advanced signal processing will be applied to the millisecond-scale activity recorded simultaneously from multiple electrodes in areas related to social processing while participants perform social and affective perception tasks. Applicants should hold a Ph.D. in Neuroscience, Computational Neuroscience, Computer Science, Mathematics, Statistics, Engineering or a related field. Advanced skills in signal processing, multivariate statistics, machine learning and/or computational neuroscience are required. Experience with multivariate analysis of neural data is required and experience with electrophysiological data is desirable. Applicants should have a strong track record of publication. The position is fully funded. The initial period is 1 year with additional years depending on fit and progress. Interested applicants should send a letter of interest, a CV, and the names and contact information for 3 researchers who can provide a recommendation. For further information or to submit an application, please contact Avniel Ghuman, Ph.D. at ghumana at upmc.edu . The position is available immediately and applications will be considered until the position is filled. From jean-marc.odobez at epfl.ch Tue Nov 17 17:26:48 2015 From: jean-marc.odobez at epfl.ch (odobez) Date: Tue, 17 Nov 2015 23:26:48 +0100 Subject: Connectionists: JOB: IDIAP/EPFL (CH) - PhD positions in Visual and Multimodal Sensing for Human-Robot Interaction (HRI) Message-ID: <564BA9A8.9070409@epfl.ch> The Idiap Research Institute (www.idiap.ch), a laboratory associated with EPFL (Swiss Federal Institute of Technology, Lausanne, www.epfl.ch) seeks qualified candidates in computer vision and machine learning for multi-modal interaction modeling. Context: ------------ The research will be conducted in the context of MuMMER (MultiModal Mall Entertainment Robot), a newly 4-year EU Horizon 2020 funded project involving several leading European institutions in the field. The project will develop a humanoid robot (based on Aldebaran's Pepper platform) able to engage and interact autonomously and naturally with individuals or groups or people. To support this behaviour, the project consortium will develop and integrate new methods from audiovisual scene processing, social-signal processing, high-level action selection, and human-aware robot navigation. See http://www.edinburgh-robotics.org/news/201508/h2020-funding-award-interaction-lab-heriot-watt-university. PhD positions and requirements: ------------ The research conducted at Idiap will focus on the sensing part (persons detection, tracking, identification, non-verbal behavior -gaze, attention, head gestures- extraction, speaker turn detection), but with an HRI flavor, like better accounting for robot gestures, active sensing to reduce perception uncertainties, generating behaviors to convey perception uncertainties, exploiting soft priors coming from communication and dialog models, etc. Within a team of two to three PhD students/postdocs, the PhD students are expected to advance the state-of-the-art in this field, through the design of principled algorithms from machine learning, computer vision, multimodal processing and HRI, to address the above tasks. PhD position 1: The first position has a multimodal orientation (audio and video/depth; ego motion). The main goal will be to track the location of people and their speaking activity using appropriate audio-visual representations, audio-source localization and characterization, active and adaptive audio-visual association and behavior models (including conversation models), esp. to handle when people are not in the field of view (but might be heard). PhD position 2: The second position will be more oriented towards vision/depth processing, and the modeling of face representation for the design of head detectors/trackers and non-verbal behavior extraction methods appropriate at different depth ranges. These work will rely on previous experience ans software developed in the context of previous projects. The ideal Ph.D student should have a master in computer science, engineering, or applied mathematics. S/he should have a good background in mathematics, statistics, and programming (C/C++, Python, scripting langages). Prior experience or background in statistical learning theory, computer vision or robotics will be a plus. The successful PhD candidate will become a doctoral student at EPFL (http://www.epfl.ch) provided that s/he is accepted by the Doctoral School at EPFL (http://phd.epfl.ch/applicants). Appointment for the PhD position is for a maximum of 4 years. Annual gross salary ranges from 47,000 CHF (first year) to 50,000 CHF (last year). The starting date is 1st of March 2016, or to be negotiated. Application: ------------ For more information, please contact Dr Jean-Marc Odobez (odobez at idiap.ch, www.idiap.ch/~odobez), and Petr Motlicek (petr.motlicek at idiap.ch) for Position 1. Interested candidates should submit a cover letter, a detailed CV, and the names of three references (or recommendation letters) through the Idiap online recruitment system (by clicking on the position?s title at www.idiap.ch/education-and-jobs) and email to Dr. Odobez/Motlicek. Application deadline: Dec. 10th; the positions will remain open until suitable candidates have been found. Indicate in your application your preference and motivation for the available position. About IDIAP: ------------ Idiap is an independent, non-profit research institute recognized and supported by the Swiss Government, and affiliated with the Ecole Polytechnique F?d?rale de Lausanne (EPFL). It is located in the town of Martigny in Valais, a scenic region in the south of Switzerland, surrounded by the highest mountains of Europe, and offering exciting recreational activities, including hiking, climbing and skiing, as well as varied cultural activities. It is within close proximity to Geneva and Lausanne. Although Idiap is located in the French part of Switzerland, English is the working language. Free French lessons are provided. Idiap offers competitive salaries and conditions at all levels in a young, dynamic, and multicultural environment. Idiap is an equal opportunity employer and is actively involved in the "Advancement of Women in Science" European initiative. -- Jean-Marc Odobez, IDIAP & EPFL Senior Researcher (EPFL MER) IDIAP Research Institute (http://www.idiap.ch) Tel: +41 (0)27 721 77 26 Web: http://www.idiap.ch/~odobez From he at ele.uri.edu Tue Nov 17 16:46:34 2015 From: he at ele.uri.edu (Haibo He) Date: Tue, 17 Nov 2015 16:46:34 -0500 Subject: Connectionists: Tenure-Track Assistant Professor of Computer Engineering on Big Data at University of Rhode Island. Message-ID: <2044B0F1-FEBB-4F6C-95A5-A6E10F25C377@ele.uri.edu> Dear Colleagues, Applications are invited for a tenure-track position in Computer Engineering on Big Data at the rank of Assistant Professor beginning in Fall 2016. This position is part of the University?s interdisciplinary initiative to hire a cluster of tenure-track faculty members who will apply or develop data- and computation-intensive methodology and systems across the University through interdisciplinary research and teaching. We are particularly interested in candidates with expertise in big data-related research, including but not limited to computer architecture, networking, security, storage, embedded systems, high-performance and cloud computing, parallel and distributed computing. A Ph.D. degree in Computer Engineering, Electrical Engineering, Computer Science, or closely related field is required at the time of appointment. The successful candidate will have the ability to teach and develop new undergraduate and graduate courses, while conducting high-quality research in multi- and inter-disciplinary teams. Review of applications will begin on December 8, 2015 and continue until the position is filled. Applications received before January 5, 2016 will be given full consideration. The anticipated start date is August 2016, and salary is commensurate with qualifications and experience. For more information, please visit: http://www.ele.uri.edu/CEsearch2016.pdf Thank You! Haibo ---------------------------------------------------------------------------------- Haibo He, Ph.D., P.E. University of Rhode Island http://www.ele.uri.edu/faculty/he/ ---------------------------------------------------------------------------------- From Miren.Olasagasti at unige.ch Wed Nov 18 05:43:51 2015 From: Miren.Olasagasti at unige.ch (Miren Itsaso Olasagasti Rodriguez) Date: Wed, 18 Nov 2015 10:43:51 +0000 Subject: Connectionists: Postdoctoral Position on network models of neural oscillations and speech processing in GENEVA Message-ID: <1447843431237.53246@unige.ch> We have a postdoc position available at the Auditory Language Group led by Prof. Giraud at the University of Geneva to explore the link between predictive coding and cortical oscillations in speech processing. The project reaches beyond one sensory modality to ask a question of broad interest to basic neuroscience, namely, the role of oscillations in information transfer in the brain. We are looking for a candidate to work on the computational side of the project who would also work closely with the experimental team (EEG, MEG, ECoG). The computational part aims at understanding the role of oscillations through their modeling in physiologically plausible spiking neural networks and would build on previous work from the lab (Hyafil, A., Fontolan, L., Kabdebon, C., Gutkin, B., & Giraud, A.-L. (2015). Speech encoding by coupled cortical theta and gamma oscillations. eLife, 4, 1-23. http://doi.org/10.7554/eLife.06213). We specially favor computational models built on a strong neurophysiological basis informed by experimental findings. The team includes researchers with backgrounds in neurophysiology, psychology, physics and engineering and it's part of the Biotech campus and the Geneva Neuroscience Center. Applicants should send a CV, statement of research interest, and two reference contacts to Anne-Lise.Giraud at unige.ch Applications will be accepted until the position is filled. Start date: january-april 2016. Contract duration: 2-3 years. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dominik.endres at uni-marburg.de Wed Nov 18 11:29:46 2015 From: dominik.endres at uni-marburg.de (Dominik Endres) Date: Wed, 18 Nov 2015 17:29:46 +0100 Subject: Connectionists: doctoral stipend available Message-ID: <1688656.CgSEjLKPrZ@pc04174> Doctoral Stipend Available A doctoral stipend for a highly motivated individual is available in the group of theoretical Neuroscience headed by Prof. Dr. Dominik Endres. The Group is located in the Department of Psychology at the Philipps-University of Marburg, Germany. The stipend is for up to three years given satisfactory performance. The stipend is intended to facilitate a scientific qualification, specifically a German doctorate (PhD equivalent). Duties include active, self-motivated participation in the research and teaching activities of the group, in particular a) the development of quantifiable theoretical models about movement perception, movement control and object- and action semantics and b) the experimental testing of such models using the new virtual-reality facility of the department. The stipend holder is expected to engage actively in the definition of a research project in one of the aforementioned areas, which comprises both theoretical and experimental aspects. Prerequisites are a Master's degree or German Diplom in one of the following areas: theoretical Neuroscience, Computer Science, Mathematics, Physics, Electrical Engineering, Cognitive Science or Psychology with a minor in one of the aforementioned fields. Programming experience in Python, C++ or similar are advantageous. Applications with experience in machine learning, computer graphics or behavioral experimentation will be preferred. Applicants' skills in these areas will be tested as a part of the recruitment procedure. The academic environment is a vibrant scientific community at the Research Alliance Giessen/Marburg comprising the IRTG 1901 International Research Training Group investigating The Brain in Action (http://www.irtg-brainact.de/) and a Collaborative Research Center (SFB 135, http://www.forschungsallianz-gi-mr.de/projekte/sfb/wahrnehmung) on the Cardinal Mechanisms of Perception, thus offering an excellent environment for cutting edge research on the intersections between different disciplines ranging from experimental psychology and human movement science to computational modeling, machine learning, psycholinguistics and the neurobiology of action. Applications should include a letter of motivation, curriculum vitae and Master's transcripts or similar records, and the addresses of 2 referees. The initial application should be sent by email to Prof. Dr. D. Endres (dominik.endres at uni-marburg.de) no later than Dec. 15th, 2015 (earlier applications preferred). Please do not sent originals by mail, because we will not be able to return them to you. We will not cover travel costs to/from Marburg for job interviews. The Philipps-University of Marburg is an equal opportunity employer. -- Prof. Dr. Dominik Endres AE Theoretische Neurowissenschaft Allgemeine und Biologische Psychologie FB Psychologie, Gutenbergstr 18, 35032 Marburg, Germany Tel. +49-(0)6421-28-23818 -------------- next part -------------- A non-text attachment was scrubbed... Name: AnzeigePromStipE.pdf Type: application/pdf Size: 1102142 bytes Desc: not available URL: From maass at igi.tugraz.at Sat Nov 21 13:10:20 2015 From: maass at igi.tugraz.at (Wolfgang Maass) Date: Sat, 21 Nov 2015 19:10:20 +0100 Subject: Connectionists: Opening for Postdoc/Assist.Prof. on principles of brain computation and learning Message-ID: <5650B38C.8060706@igi.tugraz.at> We are inviting applications for a position as Postdoc (combined with a part time position as Assistant Professor, 6 year contract; teaching language: English) in our Institute. Starting date: between 1.1. and 1.3. 2016. Applicants should combine a strong grounding in mathematics/theory, machine learning, and computational neuroscience with a genuine interest in understanding the implications of new experimental data for principles of brain computation and learning. An excellent research record, team working capability, and computer simulation experience is desired. Please send your CV, publication list, a sketch of your research interests, email addresses of referees, and key publications (pdf or URL) by December 6 to my assistant Daniela Potzinger: daniela.potzinger at igi.tugraz.at -- Prof. Dr. Wolfgang Maass Institute for Foundations of Information Processing Graz University of Techology, Austria http://www.igi.tugraz.at/maass/Welcome.html From gluck at pavlov.rutgers.edu Wed Nov 18 07:29:37 2015 From: gluck at pavlov.rutgers.edu (Mark Gluck) Date: Wed, 18 Nov 2015 07:29:37 -0500 Subject: Connectionists: Rutgers Univ-Newark Neuroscience is Hiring an Assistant Professor in Cognitive Neuroscience (Human and/or Non-Human Primate Research). Message-ID: Dear Learning, Memory, & Cognitive Neuroscience Colleagues: The Center for Molecular and Behavioral Neuroscience (CMBN) at Rutgers University-Newark has received approval to search for a new Assistant Professor in Cognitive Neuroscience. The following advertisement is currently running in Nature. While the search is open to all researchers using humans and/or non-human primates it is essential that applicants fit well into a broad integrative interdisciplinary neuroscience unit that emphasizes cross-laboratory collaborations pursuing fundamental research on brain structure and function. I would be especially interested in seeing applicants working on learning and memory. We have a strong cohort of colleagues across several departments working in this area spanning multiple approaches at several levels; we seek synergistic new colleagues who would enhance our ability to collectively attract shared graduate students, training grants, and program project support in learning and memory. For those with an interest in working with clinical populations, we have superb cooperation with our medical school faculty in neurology, psychiatry, and neurosurgery, as well as many ongoing collaborations with clinical colleagues at several medical centers in nearby New York City. For those who use functional imaging, we have a state-of-the-art research-dedicated brain imaging facility housed right within our research center with 24/7 access for testing. See http://rubic.rutgers.edu/ . The formal application procedure is described below, but anyone with a particular interest in learning and memory research is encouraged to also send me a copy of their resume and research overview when they apply for the position. More on my lab at http://www.gluck.edu Applications should be submitted by DECEMBER 1st (end of this month!) to insure timely review. - Mark Gluck _______________________________________________ The Center for Molecular & Behavioral Neuroscience (CMBN) at Rutgers University seeks outstanding candidates for a tenure track Assistant Professor position in NEUROSCIENCE. Applicants should hold a Ph.D. degree in Neuroscience or a related field and have completed at least two years of post-doctoral training. The ideal candidate for this position asks fundamental hypothesis-driven questions about brain structure and function and is open to establishing collaborative research efforts within the Rutgers neuroscience community. Research areas of particular interest are executive control, sensory-motor integration, learning and memory, and emotional regulation. The successful applicant will likely use a broad range of experimental approaches in non-human primates, and/or humans. The assistant professor will be expected to maintain an active externally-funded research program, to teach undergraduate and graduate courses in neuroscience, and to mentor Ph.D. students in the Behavioral and Neural Sciences program. Rutgers, The State University of New Jersey, is a leading national public research university and the state's preeminent, comprehensive public institution of higher education. Rutgers is dedicated to conducting research that breaks new ground; to teaching that meets the highest standards of excellence; and to providing services, solutions, and clinical care that help individuals and the local, national, and global communities where they live. CMBN is located in Newark NJ, a short drive from New York City. CMBN is part of a large community of neuroscientists at Rutgers Newark, with additional researchers in the Departments of Biological Sciences and Psychology as well as in the Rutgers University New Jersey Medical School. Collectively, these researchers represent all levels of analysis in neuroscience (http://www.neuroscience.newark.rutgers.edu ). Applicants should apply as soon as possible, but no later than 12/01/2015. Rutgers is an Equal Opportunity/Affirmative Action Employer and has a strong commitment to diversity. Women and members of underrepresented minorities are especially encouraged to apply. Rutgers-Newark is noted for its exceptionally diverse student population. To receive detailed instructions on how to apply, please send an email to search at cmbn.rutgers.edu with the subject line 'How to apply'. _______________________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From tbesold at uni-osnabrueck.de Fri Nov 20 14:49:58 2015 From: tbesold at uni-osnabrueck.de (Tarek R. Besold) Date: Fri, 20 Nov 2015 20:49:58 +0100 Subject: Connectionists: Interdisciplinary College 2016 Spring School: REGISTRATION IS OPEN Message-ID: <564F7966.6020303@uni-osnabrueck.de> ****************************************** INTERDISCIPLINARY COLLEGE 2016 SPRING SCHOOL: Transitions and Transformations in Cognition, Biology and Interactive Systems ****************************************** Dates: March 4-11, 2016 Location: G?nne at Lake M?hne, Germany Website: http://www.interdisciplinary-college.de === THE SCHOOL === The Interdisciplinary College (IK) is an intense annual one-week spring school, offering a dense state-of-the-art program in neurobiology, neural computation, cognitive science and psychology, artificial intelligence, robotics and philosophy. It provides a unique training opportunity for students, postgraduates and researchers, from academia and industry. The courses and discussions combine perspectives from the sciences and technology with those from philosophy and the humanities, to promote dialogue and connectedness between the various disciplines. The IK courses are taught by top lecturers from all over the world; all courses are offered in English. The course sequence begins with introductory lectures on the main fields of the IK, followed by a series of in-depth lectures on the focus topics for each year. Each year?s program also includes special lectures, which connect between focal topics and the arts, including music, collective movement and dance. === THE FOCAL TOPIC: TRANSITIONS AND TRANSFORMATIONS IN COGNITION, BIOLOGY AND INTERACTIVE SYSTEMS === Both biological and artificial systems are built around collections of individual units, which create a network of interacting parts. In these dynamically interacting environments, the system as a whole becomes more than the sum of its parts. Such systems often undergo transitions and transformations, defining changes in the fundamental character of that entity. Organisms undergo natural processes of change linked to age and development, as they grow from juvenile to adult, and continue into seniority. Neural and cognitive processes also dynamically change across different time scales, as we age and as we respond to the immediate world around us. Transitional and transformational processes additionally occur on across levels of organization, from the self-organization of cells and the emergence of life; to the transformations of groups of individuals into cooperative societies; from groups of cells into multicellularity. These transformations are fundamental to how biological systems are defined. In parallel with the natural world, artificial systems also act and interact over different time scales, and across levels of complexity. To function in real world environments, artificial systems (like natural systems) must adapt to change. The Interdisciplinary College 2016 will consider Transitions and Transformations in Cognition, Biology and Interactive Systems from diverse perspectives across the natural and AI worlds. The taught courses will present research insights and discussion to address questions such as: - When does a group of cells become an organism, or a group of organisms become a society? - Can artificial systems of collective subunits self-organize into a group with defined purpose? - How do natural systems survive and adapt to changing external environments? - What do we need to capture from a computing perspective to duplicate natural transformations? - How do humans change in individual and social function as they age? - What processes drive cell growth, death, and cooperation, during organismal or neural development? - Can cancer cells cheat cooperation and death to become immortal? - How do social groups change through life and into death, and can groups become immortal? === Registration Deadlines === Early-bird registration deadline: January 9, 2016 Regular registration deadline: February 14, 2016 Registration website: http://www.interdisciplinary-college.de/registration -------------- next part -------------- An HTML attachment was scrubbed... URL: From margret.franke at bccn-berlin.de Fri Nov 20 07:25:20 2015 From: margret.franke at bccn-berlin.de (Margret Franke) Date: Fri, 20 Nov 2015 13:25:20 +0100 Subject: Connectionists: Call for Workshops - Bernstein Conference 2016 In-Reply-To: <9DD42EB2-7952-4AF0-BA81-C46429EABAB6@tu-berlin.de> References: <9DD42EB2-7952-4AF0-BA81-C46429EABAB6@tu-berlin.de> Message-ID: <564F1130.40201@bccn-berlin.de> The Bernstein Network Computational Neuroscience and the Bernstein Center Berlin invite proposals for Satellite Workshops directly preceding the Bernstein Conference 2016 in Berlin. ********************************************************************************** Call for Workshop proposals: Workshops: September 20-21, 2016 Main Bernstein Conference: September 21-23, 2016 Deadline for proposal submission: March 18, 2016 Notification of acceptance: April 22, 2016 Conference Registration starts: May 2, 2016 Early Registration Deadline: July 24, 2016 ********************************************************************************** The Bernstein Conference started out as the annual meeting of the Bernstein Network Computational Neuroscience and has become the largest annual single-track Computational Neuroscience conference in Europe in recent years. Since 2013, the Bernstein Conference hosts pre-conference workshops, which have developed swiftly into a well-attended event. They supply a stage to debate topical research questions and challenges in Computational Neuroscience and related fields, different points of view and scientific approaches in an informal setting. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged, and formats are expected that foster debate beyond a mere series of talks. SCHEDULE: September 20, 2016, 14:00 ? 18:30. September 21, 2016, 9:00 ? 12:30. You may apply for either half-day or full-day workshops. WORKSHOP COSTS: The Bernstein Conference does not provide financial support, but workshop organizers and speakers are offered free workshop registration. Organizers get a waiver for the main conference fee. For further information about the conference, please visit the conference website . DETAILS FOR WORKSHOP PROPOSALS: The Workshop Proposal form can be downloaded here: . Deadline for submission of Workshop Proposals: March 18, 2016 CONTACT: We are looking forward to welcoming you in Berlin! The program committee ------------------------------- Michael Brecht Gustavo Deco Alain Destexhe Sophie Den?ve Udo Ernst Adrienne Fairhall Sonja Gr?n John-Dylan Haynes Andreas Herz Philipp H?vel Richard Kempter Klaus Obermayer Stefan Rotter Susanne Schreiber Henning Sprekeler -- Margret Franke Managing Director Bernstein Center for Computational Neuroscience Humboldt-Universit?t zu Berlin Unter den Linden 6 10099 Berlin phone: (030) 2093-9110 fax: (030) 2093-6771 From csutton at inf.ed.ac.uk Wed Nov 25 14:10:58 2015 From: csutton at inf.ed.ac.uk (Charles Sutton) Date: Wed, 25 Nov 2015 19:10:58 +0000 Subject: Connectionists: 10 PhD places in Data Science at the University of Edinburgh Message-ID: =============================================================================================== EPSRC Centre for Doctoral Training in Data Science, University of Edinburgh 10 funded PhD places in Data Science Website: datascience.inf.ed.ac.uk Deadlines: * 11 December 2015 (non-EU applicants) * 29 January 2016 (primary deadline) * 18 March 2016 (any remaining places) =============================================================================================== The EPSRC Centre for Doctoral Training (CDT) in Data Science is now inviting applications for 10 fully-funded PhD studentships at the University of Edinburgh, to start in September 2016. Students with a strong background in computer science, mathematics, physics, or engineering are particularly encouraged to apply. The CDT focuses on the computational principles, methods, and systems for extracting knowledge from data. Large data sets are now generated by almost every activity in science, society, and commerce --- ranging from molecular biology to social media, from sustainable energy to health care. Data science asks: How can we efficiently find patterns in these vast streams of data? Many research areas have tackled parts of this problem: * machine learning focuses on finding patterns and making predictions from data; * databases are needed for efficiently accessing data and ensuring its quality; * ideas from algorithms are required to build systems that scale to big data streams; * the mathematical fields of statistics and optimization provide foundational tools and theory; * natural language processing, computer vision, and speech processing consider the analysis of different types of unstructured data. Recently, these distinct disciplines have begun to converge into a single field called data science. The CDT is a 4-year programme: the first year provides Masters level training in the core areas of data science, along with a significant project. In years 2-4 students will carry out PhD research in Data Science, guided by PhD supervisors from within the centre. The CDT is funded by EPSRC and the University of Edinburgh. Edinburgh has a large, world-class research community in data science to support the work of the CDT student cohort. The city of Edinburgh has often been voted the 'best place to live in Britain', and has many exciting cultural and student activities. Because of constraints from funding agencies, there are different rules for funding depending on your fee status: * UK and EU students: Full funding (fees and stipend) is available. * Non-EU students: Funding is significantly more competitive; for details, please see datascience.inf.ed.ac.uk/apply/information-for-non-eu-students/ Application Deadlines: * 11 December 2015 -- all overseas applicants are encouraged to apply by this deadline for full consideration * 29 January 2016 -- all UK and EU applicants should apply by this deadline for full consideration * 18 March 2016 -- any remaining UK and EU studentships will be allocated in this round See datascience.inf.ed.ac.uk/apply for further information and application forms. Chat with us online during the Virtual CDT Open Days on 13 January 2016 and 24 February 2016 - datascience.inf.ed.ac.uk/events -- Charles Sutton * csutton at inf.ed.ac.uk * http://homepages.inf.ed.ac.uk/csutton Reader * School of Informatics * University of Edinburgh Deputy Director, EPSRC CDT in Data Science * http://datascience.inf.ed.ac.uk/ Please excuse brevity: http://theoatmeal.com/comics/email_monster The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. From terry at salk.edu Wed Nov 25 12:05:32 2015 From: terry at salk.edu (Terry Sejnowski) Date: Wed, 25 Nov 2015 09:05:32 -0800 Subject: Connectionists: NEURAL COMPUTATION - December 1, 2015 In-Reply-To: Message-ID: Neural Computation - Volume 27, Number 12 - December 1, 2015 Available online for download now: http://www.mitpressjournals.org/toc/neco/27/12 ----- Article Periodic Forcing of Stabilized E-I Networks: Nonlinear Resonance Curves and Dynamics Romain Veltz, Terrence J. Sejnowski Letters Rhythmic Inhibition Allows Neural Networks to Search for Maximally Consistent States Hesham Mostafa, Lorenz K. Mueller and Giacomo Indiveri Learning Spatio-Temporally Encoded Pattern Transformations in Structured Spiking Neural Networks Brian Gardner, Ioana Sporea, and Andre Gruening A Sparse Reformulation of the Green's Function Formalism Allows Efficient Simulations of Morphological Neuron Models Willem A.M. Wybo, Daniele Boccalini, Benjamin Torben-Nielsen, and Marc-Oliver Gewaltig Positive Neural Networks in Discrete Time Implement Monotone-Regular Behaviors Tom J Ameloot, Jan Van den Bussche Symbolic Computation Using Cellular Automata Based Hyperdimensional Computing Ozgur Yilmaz ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp SUBSCRIPTIONS - 2015 - VOLUME 27 - 12 ISSUES Student/Retired $75 Individual $134 Institution $1,075 MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ------------ From m.plumbley at surrey.ac.uk Thu Nov 26 04:40:37 2015 From: m.plumbley at surrey.ac.uk (m.plumbley at surrey.ac.uk) Date: Thu, 26 Nov 2015 09:40:37 +0000 Subject: Connectionists: Two Research Fellows in Machine Listening / Semantic Audio-Visual Processing and Interaction Message-ID: Dear Connectionists, Please forward the following postdoc opportunities to anyone who may be interested, esp in applying machine learning to everyday sound data. Apologies for cross-posting. Post 1: Research Fellow in Machine Listening http://jobs.surrey.ac.uk/079715 Post 2: Research Fellow in Semantic Audio-Visual Processing and Interaction http://jobs.surrey.ac.uk/079415 Deadline: 13 December 2015 Additional information below. Many thanks, Mark Plumbley ---- University of Surrey, Faculty of Engineering and Physical Sciences Centre for Vision Speech and Signal Processing (CVSSP) Salary: GBP 30,738 to GBP 35,609 Closing Date: Sunday 13 December 2015 Reference (Post 1): 079715; Reference (Post 2): 079415 Applications are invited for two Research Fellows to work full-time on an EPSRC-funded project "Making Sense of Sounds" for 33 months starting January 2016. This project will investigate how to make sense from sound data, focussing on how to convert sound recordings into understandable and actionable information, and specifically how to allow people to search, browse and interact with sounds. For Post 1 (Research Fellow in Machine Listening), the candidate will be responsible for investigating and developing machine learning methods for separation and analysis of everyday sounds, leading to new representations to support search, retrieval and interaction with sound. The successful applicant for Post 1 is expected to have a PhD in electronic engineering, computer science or a related subject, and is expected to have significant research experience in audio signal processing. Research experience in one or more of: machine learning; blind source separation, blind de-reverberation, sparse and/or non-negative representations, deep learning, object-based audio representations, audio feature extraction, and/or large scale data processing is desirable. For Post 2 (Research Fellow in Semantic Audio-Visual Processing and Interaction), the candidate will be responsible for investigating how complementary and heterogeneous data modalities and interfaces will help analysis and interaction with sound-focussed data, including how visual information and context can assist exploration, identification and interpretation of audio events. The successful applicant for Post 2 is expected to have a PhD in electronic engineering, computer science or a related subject, and is expected to have significant research experience in machine learning, machine translation, semantic audio and/or audio-visual perception. Research experience in one or more of: audio retrieval and labelling, audio tagging, sound summarization, active learning, audio-visual signal processing, human computer interaction, and/or spatial audio visualisation is desirable. The project will be led by Prof Mark Plumbley in the Machine Audition Lab of the Centre for Vision Speech and Signal Processing (CVSSP) at the University of Surrey, in collaboration with the Digital World Research Centre (DWRC) at Surrey and the University of Salford. The postholders will be based in CVSSP and work under the direction of Prof Plumbley and Co-Investigators Dr Wenwu Wang and Dr Philip Jackson. CVSSP is one of the largest groups of its type in the UK, with over 120 active researchers working in the areas of vision, image processing, medical imaging, and audio, and a grant portfolio of over ?12M. The Centre has state-of-the-art acoustic capture and analysis facilities enabling research into audio source separation, music transcription and spatial audio, and a Visual Media Lab with video and audio capture facilities supporting research in real-time video and audio processing and visualisation. Informal enquires are welcome, to: Prof Mark Plumbley (m.plumbley at surrey.ac.uk), Dr Wenwu Wang (w.wang at surrey.ac.uk), or Dr Philip Jackson (p.jackson at surrey.ac.uk). Expected start date: As soon as possible Further Details: * Post 1: Research Fellow in Machine Listening - http://jobs.surrey.ac.uk/079715 * Post 2: Research Fellow in Semantic Audio-Visual Processing and Interaction - http://jobs.surrey.ac.uk/079415 -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey Guildford, Surrey, GU2 7XH, UK Email: m.plumbley at surrey.ac.uk From Jakob.Macke at caesar.de Tue Nov 24 17:31:46 2015 From: Jakob.Macke at caesar.de (Jakob Macke) Date: Tue, 24 Nov 2015 22:31:46 +0000 Subject: Connectionists: UCLA Joint Statistics and Mathematics Faculty Search Message-ID: UCLA Joint Statistics and Mathematics Faculty Search (sent on behalf of Alyson Fletcher) Open-ranked faculty position (tenure-track Assistant Professor or tenured Associate/Full Professor) split in the Department of Statistics (50%) and Department of Mathematics (50%) at the University of California, Los Angeles. We seek outstanding applicants contributing to the cutting edge development of machine learning, big data or data science. We welcome applicants whose experience in research, teaching and service has prepared them to contribute to UCLA?s commitment to excellence and diversity. Ph.D. in Mathematics, Statistics, or a related field is required by date of anticipated appointment of July 1, 2016. Salary will be commensurate with education and experience. Please refer to Tracking Job #JPF01740 on all correspondence. Reviews for the position will commence on Nov 15, 2015 and will continue until a successful candidate is identified. Interested applicants should apply at UCLA Academic Recruit at: https://recruit.apo.ucla.edu/apply/JPF01740 Reviews for the position will commence on Nov 15, 2015 and will continue until a successful candidate is identified. Interested applicants should apply at UCLA Academic Recruit at: https://recruit.apo.ucla.edu/apply/JPF01740 The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: UC Nondiscrimination & Affirmative Action Policy at http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct Applicants should submit: 1) CV 2) Cover letter describing how their qualifications and interests would fit with the position description 3) Two representative publications (or preprints) 4) Statement of research 5) Statement of teaching 6) Three letters of recommendation All inquiries may be sent to Chie Ryu at chie.ryu at stat.ucla.edu. REQUIREMENTS DOCUMENTS ? Curriculum Vitae - Your most recently updated C.V. ? Cover Letter ? Statement of Research ? Statement of Teaching ? Statement of Contributions to Diversity - Statement addressing past and/or potential contributions to diversity through research, teaching, and/or service. (Optional) ? Publications - Two representative publications (or preprints) REFERENCES 3 letters of reference required ? Alyson Fletcher Assistant Professor of EE, UCSC Research Scientist Redwood Center for Neuroscience, UCB Assistant Professor of Stats, Maths,& EE UCLA (Jan 2016) From mtista at gmail.com Tue Nov 24 06:00:15 2015 From: mtista at gmail.com (Massimo Tistarelli) Date: Tue, 24 Nov 2015 12:00:15 +0100 Subject: Connectionists: Call for applications: 13th Int.l Summer School on Biometrics 2016 Message-ID: <5654433F.5010901@gmail.com> ?? Please accept our sincere apologies for receiving multiple copies of this announcement ?? *13^th Int.l Summer School for Advanced Studies on** Biometrics for Secure Authentication:*** *BIOMETRICS, FORENSIC, SCIENCE AND THE QUEST FOR IDENTY* (Endorsed by the IAPR technical committee on biometrics TC-4) *Alghero,****Italy - June, 20-24 2016* Contact: tista at uniss.ithttp://biometrics.uniss.it *APPLICATION DEADLINE:* February 15th 2016 (download the application form at: http://biometrics.uniss.it) _*NOTE: SCHOOL DATES HAVE BEEN CHANGED TO JUNE 20-24 2016 *_ *The school will be held "back-to-back" with the 9th International Conference on Biometrics *(ICB 2016 - june 13-16 2016 Halmstad, Sweden - http://icb2016.hh.se) _**_ In the last decade, research on the automated recognition of people has evolved to cover a large number of applications. From the early days, when security was the driving force behind biometric research, today?s challenges go far beyond security. Other applications, such as sharing data over a network, mobile computing and criminal investigations, are among the most promising applications. Machine learning, Image understanding, Signal analysis, Neuroscience, Forensic science, Digital forensics and other disciplines, converged in a truly multidisciplinary effort to devise and build advanced systems to facilitate the interpretation of signals recorded from individuals acting in a given environment. This is what we simply call today ?Biometrics?.** *For the last thirteen years, the International Summer School on Biometrics has been closely following the developments in science and technology to offer a cutting edge, intensive training course, always up to date with the current state-of-the-art.* What are the most up-to-date core biometric technologies developed in the field? What is the potential impact of biometrics in forensic investigation and crime prevention? How can biometrics cope with mobile applications? What are the most relevant issues in biometric standardization? What can we learn from human perception? What does it involve to integrate a biometric recognition system? This school follows the successful track of the International Summer Schools on Biometrics held since 2003. In this 13^th edition, the courses will mainly focus on new and emerging issues:** ?*How Biometrics can drive identification in network-based applications;* ?*How to exploit new biometric technologies in forensic and security applications;* ?*Standardization, evaluation and assessment of biometric and forensic applications.* ?*Advanced research in Biometric and Forensic technologies: What is next?* The courses will provide a clear and in-depth picture on the state-of-the-art in biometric verification/identification technology, both under the theoretical and scientific point of view as well as in diverse application domains. The lectures will be given by 18 outstanding experts in the field, from both academia and industry. *An advanced feature of this summer school will be some practical sessions to better understand, ?hands on?, the real potential of today?s biometric technologies.* *_Participant application_* The school will be open to about 50 highly qualified, motivated and pre-selected applicants. Phd students, post-docs, researchers, forensic examiners, police officers and professionals are encouraged to apply. The expected school fees will be in the order of 1,500 ? for Phd students and 2,000 ? for others (subject to change). The fees will include full board accommodation, all courses and handling material. *A limited number of scholarships, covering a portion of the fees, will be awarded to Phd students*, selected on the basis of their scientific background and on-going research work. Precedence will be given to members of the EU H2020 IDENTITY consortium, and active members of IAPR and IEEE. The scholarship request form can be downloaded from the school web site */http://biometrics.uniss.it/*. Phd students, researchers and post-docs are encouraged to submit a short paper (6 pages maximum) on their recent research activity. Selected, unpublished papers may be published, either in an edited book, or in a journal special issue. Poster boards will be also available to all participants to display their current research advances. Send a filled application form (download from http://biometrics.uniss.it)//together with a short curriculum vitae to:** *Prof. Massimo Tistarelli ?*e-mail: *biometricsummerschool at gmail.com**__* *_Advance pre-registration is strictly required by February 15^th _**_2016_* *_School location_* The school will be hosted by HotelEl Faro(*/http://www.elfarohotel.it//*) in the Capo Caccia bay, near Alghero, Sardinia. This is one of the most beautiful resorts in the Mediterranean sea. The property is beautifully immersed into the Capo Caccia bay. The hotel El Faro has a recently renovated conference center, fully equipped for scientific events. The school venue, as well as the surroundings, proved to be a perfect environment for the school activities. *_School Committee:_*** *Massimo Tistarelli* Computer Vision Laboratory ? University of Sassari, Italy *Josef Bigun * Department of Computer Science ? Halmstad University, Sweden *Enrico Grosso* Computer Vision Laboratory ? University of Sassari, Italy *Anil K. Jain* Biometrics laboratori ? Michigan State University, USA ** *_Distinguished lecturers from past school editions _* *Josef **Bigun* Halmstad University ? Sweden** *Aldo Mattei* Arma dei Carabinieri ? Italy** *Thirimachos Bourlai* West Virginia University ? USA *David Meuwly* Netherlands Forensic Institute ? NL** *Vincent Bouatou* Safran Morpho ? France *Emilio Mordini MD* Responsible Technologies ? Italy** *Deepak Chandra * Google Inc. ? USA** *Mark Nixon* University of Southampton ? UK** *Rama Chellappa* University of Maryland ? USA** *Alice O?Toole* University of Texas ? USA** *Farzin Deravi* University of Kent ? UK** *Maja Pantic* Imperial College ? UK** *Andrzej Drygajlo* EPFL ? Switzerland *Jonhaton Phillips* NIST ? USA** *James Haxby* Dartmouth University ? USA** *Arun Ross* Michigan State University ? USA** *Anil K. Jain* Michigan State University ? USA** *Tieniu Tan * CASIA-NLPR ? China** *Joseph Kittler* University of Surrey ? UK** *Massimo Tistarelli* Universit? di Sassari ? Italy** *Davide Maltoni* Universit? di Bologna ? Italy** *Alessandro Verri* Universit? di Genova ? Italy** *John Mason* Swansea University? UK** *James Wayman* University of San Jos? ? USA** ** -------------- next part -------------- An HTML attachment was scrubbed... URL: From mpavone at dmi.unict.it Wed Nov 25 11:20:12 2015 From: mpavone at dmi.unict.it (Mario Pavone) Date: Wed, 25 Nov 2015 17:20:12 +0100 Subject: Connectionists: CfP special issue in Engineering Applications of Artificial Intelligence Message-ID: <20151125172012.Horde.ElpcYuph4B9WVd_8pq6FurA@mbox.dmi.unict.it> Call for Papers ** Apologies for cross-posting ** ** Please forward to anybody who might be interested. ** "Recent Advances in Immunological Inspired Computation" special issue in EAAI - Engineering Applications of Artificial Intelligence *** Submission Deadline: 10 JANUARY 2016 This special issue aims to bring together researchers and practitioners working in the field of Immune-Computation and Immune-Engineering, particularly in regards to the development of new analytical models; novel applications to computational and engineering problems; and theoretical aspects (e.g. mathematical modelling of algorithms, convergence analysis, empirical investigation into algorithm performance and complexity analysis). The main goal is to analyse and inspect the recent advances in Immune-computation and immune-engineering field, as well as the future advancements. Authors are invited to submit original and unpublished papers on any topics related to engineering and complex systems, and all that is within the scope of the special issue and of the journal. Any Manuscript must be prepared in according to the journal guidelines and should conform to the standard format of the EAAI journal. All submissions will undergo a blind peer-review process subject to the standards of the journal. The submissions must be done via the journal automatic system: http://ees.elsevier.com/eaai/ During the submission process select "SI: Recent advances in AIS". Please submit you manuscript at the following link: http://ees.elsevier.com/eaai/default.asp You may send your manuscript now or up until the deadline. ## Important dates - Manuscript submission deadline: January 10, 2016 - Notification of acceptance/rejection: February 28, 2016 - Final manuscript submission: March 20, 2016 ## Guest Editors Carlos A. Coello Coello, CIVENSTAV-IPN, Mexico - ccoello at cs.cinvestav.mx Vincenzo Cutello, University of Catania, Italy ? cutello at dmi.unict.it Doheon Lee, KAIST, Republic of Korea - dhlee at kaist.ac.kr Mario Pavone, University of Catania, Italy ? mpavone at dmi.unict.it -- Dr. Mario Pavone (PhD) Assistant Professor Department of Mathematics and Computer Science University of Catania V.le A. Doria 6 - 95125 Catania, Italy tel: 0039 095 7383038 fax: 0039 095 330094 Email: mpavone at dmi.unict.it http://www.dmi.unict.it/mpavone/ =========================================================================== HM 2016 - 10th International Workshop on Hybrid Metaheuristics June 8-10, 2016 - Plymouth, UK http://www.dmi.unict.it/hm2016/ =========================================================================== SSBSS - International Synthetic & Systems Biology Summer School * Biology meets Engineering and Computer Science * =========================================================================== ICSI^3 - International Congress on Systems Immunology & ImmunoInformatics * Immunology without Borders * =========================================================================== 12th European Conference on Artificial Life - ECAL 2013 http://mitpress.mit.edu/books/advances-artificial-life-ecal-2013 =========================================================================== From Marc.Dymetman at xrce.xerox.com Tue Nov 24 04:43:44 2015 From: Marc.Dymetman at xrce.xerox.com (Dymetman, Marc) Date: Tue, 24 Nov 2015 09:43:44 +0000 Subject: Connectionists: XRCE internship: Deep Recurrent Neural Networks for Dialogue Prediction and Response Generation Message-ID: <8D298BD85E33ED41ABF349C973146335E9D4B8BA@ECOUGES.xrce.xeroxlabs.com> Xerox Research Centre Europe, located in Grenoble, France, is offering the following internship for early 2016: -------------------------------------------------------------------------------------------------------------- Deep Recurrent Neural Networks for Dialogue Prediction and Response Generation --------------------------------------------------------------------------------------------------------------- See: http://www.xrce.xerox.com/About-XRCE/Internships/Deep-Recurrent-Neural-Networks-for-Dialogue-Prediction-and-Response-Generation Contact : Marc Dymetman marc.dymetman at xrce.xerox.com Please mention "RNNs for Dialogue and NLG" in your subject line. Duration: around 5 months Start date: around January/February 2016 The application of Deep Learning techniques to conversational interactions has recently emerged as an important research topic in the Machine Learning community, and XRCE has started to be strongly engaged in this area. In particular, we are actively working in the domain of task-oriented dialogues in relation to the customer call-centers Xerox manages, and have access to significant amounts of interaction data in these domains. We are looking for an intern who will help us improve some of our current Recurrent Neural Network models for dialogue prediction and generation for these task-oriented conversations. The ideal candidate is Computer Science student at the Master or (preferably) PhD level, with a background in Machine Learning (preferably including Deep Learning techniques) and NLP. Strong programming skills are a requirement (Python, C++, Java...) and knowledge of such toolkits as Theano, Torch, TensorFlow would be a plus. Conference publication of the work will be strongly encouraged. See XRCE's page above for more details. -------------- next part -------------- An HTML attachment was scrubbed... URL: From cie.conference.series at gmail.com Mon Nov 23 12:42:51 2015 From: cie.conference.series at gmail.com (CiE Conference Series) Date: Mon, 23 Nov 2015 17:42:51 +0000 (GMT) Subject: Connectionists: CiE 2016: Pursuit of the Universal - 2nd CfP - Paris, 27/6-1/7/2016 Message-ID: 2nd CALL FOR PAPERS: COMPUTABILITY IN EUROPE 2016: Pursuit of the Universal Paris, France June 27 - July 1st, 2016 http://lipn.univ-paris13.fr/CIE2016/ IMPORTANT DATES: Submission deadline for LNCS: December 15, 2015 Notification of authors: March 3, 2016 Deadline for final revisions: March 31, 2016 CiE 2016's Motto is: "Pursuit of the Universal". This year?s conference will open with a special tribute session that CiE society is dedicating to the former CiE president, Barry Cooper who unexpectedly passed away on October 26th 2015. Barry was originally scheduled as a plenary speaker at this year?s conference. The year 2016 brings the eightieth anniversary of the publication of Alan Turing's seminal paper featuring the Universal Turing Machine. Just as the semantics of the machine gave rise to Incomputability, and pointed to future directions in proof theory, AI, generalized computability, the underlying role of typed information and natural language, and the computability and definability underpinning bioinformatics: so our conference subtitle honors Turing's role in anticipating the quest for universal computational frameworks across a wide spectrum of scientific and humanist disciplines. CiE 2016 is the twelfth conference organized by CiE (Computability in Europe), a European association of mathematicians, logicians, computer scientists, philosophers, physicists and others interested in new developments in computability and their underlying significance for the real world. Previous meetings have taken place in Amsterdam (2005), Swansea (2006), Siena (2007), Athens (2008), Heidelberg (2009), Ponte Delgada (2010), Sofia (2011), Cambridge (2012), Milan (2013), Budapest (2014) and Bucharest (2015). TUTORIAL SPEAKERS: Bernard Chazelle (Princeton University) Mikolaj Bojanczyk (University of Warsaw) INVITED SPEAKERS: Janet Abbate (Virginia Tech) Natasha Alechina (University of Nottingham) Vasco Brattka (Universit?t der Bundeswehr M?nchen) Steffen Lempp (University of Wisconsin) Andr? Nies (University of Auckland) Sarah Rees (University of Newcastle) Reed Solomon (University of Connecticut) SPECIAL SESSIONS: Computable and constructive analysis (organizers: Daniel Gra?a, Elvira Mayordomo) Computation in bio-chemical systems (organizers: Alessandra Carbone, Ion Petre) Cryptography and information theory (organizers: Danilo Gligoroski, Carles Padro) History and philosophy of computing (organizers: Liesbeth de Mol, Giuseppe Primiero) Symbolic dynamics (organizers: Jarkko Kari, Reem Yassawi) Weak arithmetics (organizers: Lev Beklemishev, Stanislas Speranski) Contributed papers will be selected from submissions received by the PROGRAM COMMITTEE consisting of: Marcella Anselmo (Universit? di Salerno) Nathalie Aubrun (Ecole Normale Sup?rieure de Lyon) Georgios Barmpalias (Chinese Academy of Sciences) Marie-Pierre Beal (Universit? Paris-Est Marne-la-Vall?e) Arnold Beckmann (Swansea University) Laurent Bienvenu (Universit? Paris 7), PC co-chair Paola Bonizzoni (Universit? di Milano-Bicocca) Alessandra Carbone (Universit? Pierre et Marie Curie) Douglas Cenzer (University of Florida) Liesbeth De-Mol (Universit? Lille 3) David Doty (University of California Davis) J?r?me Durand-Lose (Universit? d'Orl?ans) Volker Diekert (Universit?t Stuttgart) Martin Escardo (University of Birmingham) Fran?ois Fages (INRIA Paris-Rocquencourt) Enrico Formenti (Universit? de Nice-Sophia Antipolis) Daniela Genova (University of North Florida) Noam Greenberg (Victoria University of Wellington) Valentina Harizanov, (George Washington University) Hajime Ishihara (Japan Advanced Institute of Science and Technology) Natasha Jonoska (University of South Florida), PC co-chair Jarkko Kari (University of Turku) Lila Kari (University of Western Ontario) Margarita Korovina (University of Manchester) Marta Kwiatkowska (University of Oxford) Karen Lange (Wellesley College) Benedikt L?we (Universiteit van Amsterdam) Florin Manea (Kiel University) Paulin de Naurois (Universit? Paris 13) Keng Meng Selwyn Ng (Nanyang Technological University) Arno Pauly (University of Cambridge) Mario Perez-Jimenez (Universidad de Sevilla) Ion Petre (?bo Akademi University) Mehrnoosh Sadrzadeh (Queen Mary University of London) Alexis Saurin (Universit? Paris 7) Shinnosuke Seki (The University of Electro-Communications Tokyo) Paul Shafer (Ghent University) Alexander Shen (Universit? Montpellier 3) Alexandra Soskova (Sofia University) Mariya Soskova (Sofia University) The PROGRAMME COMMITTEE cordially invites all researchers (European and non-European) to submit their papers in all areas related to computability for presentation at the conference and inclusion in the proceedings at https://www.easychair.org/conferences/?conf=cie2016 Papers must be submitted in PDF format, using the LNCS style (available at ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip) and should have a maximum of 10 pages, including references but excluding a possible appendix in which one can include proofs and other additional material. Papers that build bridges between different parts of the research community are particularly welcome. The CONFERENCE PROCEEDINGS will be published by LNCS, Springer Verlag. ___________________________________ CiE 2016 http://lipn.univ-paris13.fr/CIE2016/ ASSOCIATION COMPUTABILITY IN EUROPE http://www.computability.org.uk CiE Conference Series http://www.illc.uva.nl/CiE CiE Membership Application Form http://www.lix.polytechnique.fr/CIE Computability (Journal of CiE) http://www.computability.de/journal/ CiE on FaceBook https://www.facebook.com/AssnCiE Association CiE on Twitter https://twitter.com/AssociationCiE From m.pontil at cs.ucl.ac.uk Fri Nov 27 18:15:26 2015 From: m.pontil at cs.ucl.ac.uk (Massimiliano Pontil) Date: Fri, 27 Nov 2015 23:15:26 +0000 Subject: Connectionists: 3 Postdoctoral positions at the Italian Institute of Technology Message-ID: 3 Postdoctoral positions at the Italian Institute of Technology to work with Dr. Massimiliano Pontil and his team in the following areas: - deep learning - kernel methods - multitask and transfer learning - numerical optimization - reinforcement learning - representation learning - sparsity regularization - statistical learning theory If you're at NIPS, please email me during the next days, to allow for the possibility of meeting in person. Candidates must hold a PhD in computer science or a related discipline (mathematics, statistics, signal processing, operations research). Outstanding applications in other areas will also be considered. The positions are initially for a 2-year period and may be renewed for two more years. An internationally competitive salary package subject to experience will be offered. The start date is expected to be April 2016. For more information: http://www.iit.it/en/openings/research-departments/pattern-analysis-a-computer-vision/3057-3-postdoctoral-positions-in-machine-learning.html Regards, Massimiliano Pontil From atsu-kan at atr.jp Sat Nov 28 01:00:49 2015 From: atsu-kan at atr.jp (KANEMURA Atsunori) Date: Sat, 28 Nov 2015 15:00:49 +0900 Subject: Connectionists: Researcher and Engineer positions at ATR Brain Labs., Kyoto, Japan Message-ID: Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan, has openings for researcher and research engineer positions and invite applications from people with strong motivations and ambitions in the research project described below. We will study how to analyze multi-modal sensor measurements to create "artificial intelligence with consciousness" by installing a "consciousness module" to man-made information-processing systems. In particular, we will develop and implement machine-learning techniques for attention, which dynamically processes data stream to find where to focus and intensively analyze and picks up information essential for decision-making. Our attention module will be developed for video, audio, and bio signals. Our project is in close collaboration with neuroscientists led by Dr. Ryota Kanai (CEO & Chief Scientist, ARAYA Brain Imaging, Tokyo, Japan). PIs and co-PIs in the project are Dr. Ryota Kanai (ARAYA), Prof. Naotsugu Tsuchiya (Monash University, Australia), Dr. Masafumi Oizumi (RIKEN, Japan), Dr. Motoaki Kawanabe (ATR), and Prof. Takuya Maekawa (Osaka University, Japan). We look forward to your applications and recommendations. Motoaki Kawanabe, Ph.D. Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan = Requirements for Researchers = Applicants must: - have a Ph.D. (or be near completion). - have strong motivations and ambitions to take part in the research above. Successful candidates will have interest in neural and cognitive science with expertise in one or more of the following areas are welcomed: - Machine learning, pattern recognition, signal processing, computer vision, robotics, bio-medical engineering. = Requirements for Research Engineers = Applicants must have strong motivations and ambitions to take part in the research above mainly from program development, data analysis, and experimental support. = Number of openings = A few = Employment conditions = Position : Full-time Researcher / Full-time Research Engineer Tenure : Single year based contract, renewable based on evaluation Treatment: Based on individual performance Work Location: Advanced Telecommunications Research Institute International (ATR) 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan = Application materials = Please submit the following five materials to the contact address below, either in printed or electronic form: 1. CV 2. List of publications 3. Reprints of 1-3 major publications (applicants for Researchers) or summary of past projects 4. Essay (up to two pages in A4 or letter size) describing: - Summary of your previous research and/or development - Interests for research - Additional research skills not directly foreseeable from 1 or 2 5. Recommendation letters from more than two researchers * If submitted in printed form, original documents will not be returned. = Judging system = After documentary examination, we ask for presentation and interview if needed = Starting date = Soon (negotiable) = Deadline for application = Opens until positions are filled. = Contact = Department of Dynamic Brain Imaging ATR Cognitive Mechanisms Laboratories (Application for Researcher Position) 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan Email: dbi-cma at atr.jp = Use of personal data = All personal data received will be properly managed and only be used for the purpose of recruitment. -- KANEMURA Atsunori, Ph.D. Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan From A.Cangelosi at plymouth.ac.uk Fri Nov 27 09:15:08 2015 From: A.Cangelosi at plymouth.ac.uk (Angelo Cangelosi) Date: Fri, 27 Nov 2015 14:15:08 +0000 Subject: Connectionists: Postdoctoral Research Fellow in Cognitive and Neuro-Robotics, Plymouth University UK (BABEL Project) Message-ID: Plymouth University, UK Centre for Robotics and Neural Systems Postdoctoral Research Fellow in Cognitive and Neuro-Robotics (BABEL Project) http://www.jobs.ac.uk/job/AMM733/research-fellow-in-cognitive-and-neuro-robotics-babel-project/ www.babel-project.org A post-doctoral research fellow is required for a period of up to 12 months to work on the EPSRC funded collaborative project ?BABEL: Bio-inspired Architecture for Brain Embodied Language?. You will carry out research on neuro-robotics and cognitive robotics experiments. A PhD in Computer science, Robotics, Artificial Intelligence or allied disciplines is required. Excellent programming skills are essential and knowledge of computational neuroscience and/or human-robot interaction research is a desirable skill. The research will require the use of the iCub humanoid robot and of the SpiNNaker neuromorphic system. You will be working collaboratively as part of a larger inter-disciplinary research team at the School of Computing and Mathematics, and the School of Psychology, under the supervision of Professor Angelo Cangelosi, Dr Thomas Wennekers, Professor Sue Denham and Professor Friedemann Pulvermueller. You will also collaborate with the other partners in the BABEL consortium, such as Professor Steve Furber and Dr David Lester (Manchester University) and Pulvermueller?s lab at Free University Berlin. You might be required to travel for project meetings and between partners? sites. Informal enquiries regarding the post, the project or the research details can be made to Prof Angelo Cangelosi (acangelosi at plymouth.ac.uk or +44 1752 586217). This is a full-time post working 37 hours per week on a fixed-term basis for 12 months. Expected start date is 1 February 2016 (or as soon as possible after this date, subject to negotiation). Recruitment and selection will be based on individual merit, however, we should particularly like to encourage applications from women, black and minority ethnic people who are under-represented in the Faculty of Technology. CLOSING DATE: 12 midnight, Tuesday 5 January 2015 Plymouth University is committed to an inclusive culture and respecting diversity, and welcomes applications from all sections of the community and is a Stonewall diversity champion. The University holds a Bronze Athena SWAN Award which recognises commitment to advancing women?s career in STEMM academia. ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif] This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, Plymouth University accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. Plymouth University does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form. From A.Cangelosi at plymouth.ac.uk Fri Nov 27 09:07:05 2015 From: A.Cangelosi at plymouth.ac.uk (Angelo Cangelosi) Date: Fri, 27 Nov 2015 14:07:05 +0000 Subject: Connectionists: 3 ESRs (PhD) posts at Plymouth University UK for the European Industrial Doctorate in Personal Robotics (APRIL) Message-ID: (Note: these 3 PhD-ESR posts in the UK are in addition to the two posts in Paris recently advertised by our APRIL project partner Aldebaran) Plymouth University, UK Centre for Robotics and Neural Systems http://www.jobs.ac.uk/job/AML235/early-stage-researcher-april-project/ Plymouth University (UK) will hire 3 ESRs (PhD) positions for the following PhD projects within the APRIL European Industrial Doctorate: * ESR1 PhD Project: Emotional Bootstrap for Empathic Communication (Supervisor Torbjorn Dahl) * ESR2 PhD Project: Social Learning through Contingent Interaction (Supervisor Tony Belpaeme) * ESR3 PhD Project: Grounded Communication for Planning What to Say and What to Do (Supervisor Angelo Cangelosi) The H2020 APRIL project aims at the establishment of the first European Industrial Doctorate in ?Applications of Personal Robotics for Interaction and Learning? (APRIL) to train the next generation of researchers and engineers for the emerging field of personal robotics. APRIL is the result of the internationally leading, strategic synergies of Plymouth University?s Centre for Robotics and Neural Systems (CRNS) and AI-Lab of Aldebaran Robotics. Five ESR students will be employed in APRIL, three at Plymouth University and two at Aldebaran Paris. The balanced experience of each ESR student in terms of both the academic and the industrial experience (18 months stay at Plymouth University + 18 months at Aldebaran Paris) and additional short secondments and specialised complementary training in six associate partners sites, will entrench their entrepreneurship ethos for cross-sectorial careers as future robotics research and engineering leaders in academia and industry. You should have a very good first degree in a computer science, or robotics, or cognitive science discipline. Applicants with a relevant Masters degree would be particularly welcome. Excellent programming skills are an essential requirement to apply. The stipend is for 3 years and you will receive an annual salary starting from ?29000 to ?32500 per annum. This is based on the ITN monthly living allowance, and the mobility and the family allowances. Two additional ESR positions are being advertised by Aldebaran Robotics, Paris. Full details on this vacancy and how to apply can be found on Plymouth University website (www.plymouth.ac.uk/jobs). For further information contact Professor Angelo Cangelosi (acangelosi at plymouth.ac.uk). Background information on the supervisors? research profiles and the ESR projects can be found on Plymouth University website and the job description and further particulars document. Applicants should upload a CV, along with their application and provide 2 referees within their application. This is a full-time position working 37 hours per week on a fixed-term basis for 36 months starting 1 April 2016. The closing date for applications is 12 midnight, Wednesday 16 December 2015 Plymouth University is committed to an inclusive culture and respecting diversity, and welcomes applications from all sections of the community and is a Stonewall diversity champion. The University holds a Bronze Athena SWAN Award which recognises commitment to advancing women?s career in STEMM academia. ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif] This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, Plymouth University accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. Plymouth University does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form. From daan.bloembergen at gmail.com Fri Nov 27 05:42:56 2015 From: daan.bloembergen at gmail.com (Daan Bloembergen) Date: Fri, 27 Nov 2015 11:42:56 +0100 Subject: Connectionists: First Call For Papers: Adaptive and Learning Agents Workshop at AAMAS2016 (Singapore) Message-ID: We apologize if you receive more than one copy. Please share with colleagues and students. Paper deadline: FEBRUARY 1, 2016 ******************************************************* * AAMAS workshop with a long and successful history, now in its eighth edition. * Open to original research papers, work-in-progress, and visionary outlook papers. * ACM proceedings format up to 8 pages for original research and up to 6 pages for work-in-progress and outlook papers (shorter papers are also welcome and will not be judged differently). * Accepted papers are eligible for inclusion in a special issue journal. ******************************************************* 1st Call for Papers ALA 2016: Adaptive and Learning Agents Workshop held at AAMAS 2016 (Singapore). The ALA workshop has a long and successful history and is now in its eighth edition. The workshop is a merger of European ALAMAS and the American ALAg series, which is usually held at AAMAS. Details may be found on the workshop web site: http://ala2016.csc.liv.ac.uk ******************************************************* * Submission Deadline: February 1, 2016 * Notification of acceptance: March 7, 2016 * Camera-ready copies: March 10, 2016 * Workshop: May 9/10, 2016 ******************************************************* Adaptive and Learning Agents, particularly those in a multi-agent setting are becoming more and more prominent as the sheer size and complexity of many real world systems grows. How to adaptively control, coordinate and optimize such systems is an emerging multi-disciplinary research area at the intersection of Computer Science, Control theory, Economics, and Biology. The ALA workshop will focus on agent and multi-agent systems which employ learning or adaptation. The goal of this workshop is to increase awareness and interest in adaptive agent research, encourage collaboration and give a representative overview of current research in the area of adaptive and learning agents and multi-agent systems. It aims at bringing together not only scientists from different areas of computer science but also from different fields studying similar concepts (e.g., game theory, bio-inspired control, mechanism design). This workshop will focus on all aspects of adaptive and learning agents and multi-agent systems with a particular emphasis on how to modify established learning techniques and/or create new learning paradigms to address the many challenges presented by complex real-world problems. The topics of interest include but are not limited to: * Novel combinations of reinforcement and supervised learning approaches * Integrated learning approaches that work with other agent reasoning modules like negotiation, trust models, coordination, etc. * Supervised multi-agent learning * Reinforcement learning (single and multi-agent) * Planning (single and multi-agent) * Reasoning (single and multi-agent) * Distributed learning * Adaptation and learning in dynamic environments * Evolution of agents in complex environments * Co-evolution of agents in a multi-agent setting * Cooperative exploration and learning to cooperate and collaborate * Learning to cooperate and collaborate * Learning trust and reputation * Communication restrictions and their impact on multi-agent coordination * Design of reward structure and fitness measures for coordination * Scaling learning techniques to large systems of learning and adaptive agents * Emergent behaviour in adaptive multi-agent systems * Game theoretical analysis of adaptive multi-agent systems * Neuro-control in multi-agent systems * Bio-inspired multi-agent systems * Applications of adaptive and learning agents and multi-agent systems to real world complex systems ******************************************************* SUBMISSION DETAILS Papers can be submitted through EasyChair: http://easychair.org/conferences/?conf=ala-2016 We invite submission of original work, up to 8 pages in length in the ACM proceedings format (i.e. following the AAMAS formatting instructions). This includes work that has been accepted as poster only at AAMAS 2016. Additionally, we welcome submission of preliminary results, i.e. work-in-progress, as well as visionary outlook papers that lay out directions for future research in a specific area, both up to 6 pages in length, although shorter papers are very much welcome, and will not be judged differently. All submissions will be peer-reviewed (single-blind). The most "visionary paper" will be published by Springer in a book under the Lecture Notes in Artificial Intelligence (LNAI) - Hot Topics series. The book will be a compilation of the most visionary papers of the AAMAS-2016 Workshops, where one paper will be selected from each AAMAS-2016 workshop. Additionally, the "best paper" will be published by Springer in a book under the Communications in Computer and Information Science (CCIS) series. The book will be a compilation of the best papers of the AAMAS-2016 Workshops, where one paper will be selected from each AAMAS-2016 workshop. Authors of the selected most visionary paper and the best paper are expected to provide their latex files promptly upon request. Accepted work will be allocated time for oral presentation during the workshop. Papers accepted at the workshop will also be eligible for inclusion in a special issue published after the workshop. -------------- next part -------------- An HTML attachment was scrubbed... URL: From arthurjo at us.ibm.com Mon Nov 30 17:07:11 2015 From: arthurjo at us.ibm.com (John Arthur) Date: Mon, 30 Nov 2015 14:07:11 -0800 Subject: Connectionists: Research Scientist and Intern Positions in Brain-Inspired Computing at IBM Research - Almaden Message-ID: <201511302207.tAUM7HdO006908@d03av02.boulder.ibm.com> IBM's Brain-Inspired Computing team at IBM Research - Almaden has built a first-of-a-kind modular, scalable, non-von Neumann, ultra-low power, cognitive computing architecture (TrueNorth) and associated end-to-end software ecosystem. We are building state-of-the-art digital spiking neuromorphic chips and systems (large-scale and mobile) to solve real-time sensory problems. We seek team members with varied backgrounds and experiences for positions in software engineering, systems design, chip design, algorithm/application development, theoretical understanding and education/training. http://modha.org To receive full consideration, please apply using the link below to ensure your resume/CV will be directed to the appropriate hiring manager. Research Scientist: http://krb-sjobs.brassring.com/TGWebHost/jobdetails.aspx?partnerid=26059&siteid=5016&AReq=13809BR Research Intern: http://krb-sjobs.brassring.com/TGWebHost/jobdetails.aspx?partnerid=26059&siteid=5016&AReq=16480BR -------------- next part -------------- An HTML attachment was scrubbed... URL: From mcarreira-perpinan at ucmerced.edu Mon Nov 30 00:09:53 2015 From: mcarreira-perpinan at ucmerced.edu (Miguel A. Carreira-Perpinan) Date: Sun, 29 Nov 2015 21:09:53 -0800 Subject: Connectionists: PhD positions in machine learning/optimization at UC Merced Message-ID: <22107.55841.968880.815069@ucmerced.edu> PHD POSITIONS IN MACHINE LEARNING/OPTIMIZATION AT THE UNIVERSITY OF CALIFORNIA, MERCED I am looking for several new PhD students to start in Fall 2016, in the interface between machine learning and nonconvex optimization. Students will be funded through research assistantships, in particular through NSF award IIS-1423515 "Algorithms for accelerating optimization in deep learning", and/or teaching assistantships. Specific interests include developing optimization algorithms based on auxiliary coordinates for deep learning, nonlinear dimensionality reduction and other problems. This work can be tied with specific applications in computer vision (eg segmentation, articulated pose tracking, image registration); computer speech (eg articulatory inversion, audiovisual speech processing); robotics and computer graphics (eg inverse kinematics); sensor networks; and related areas. I'm looking for individuals strongly motivated to earn a PhD in computer science or electrical engineering and publish their work in leading conferences and journals in the areas mentioned above (NIPS, ICML, AISTATS, CVPR, Interspeech, ICASSP, etc.). Desired qualifications: - A BS or preferably an MS in CS, EE, Applied Maths or related areas. - Strong mathematical skills (multivariate calculus, linear algebra, probability & statistics, optimization, numerical analysis, information theory, etc.). - Strong programming ability in Matlab and C/C++. - Research experience in machine learning, speech processing or computer vision. For further information: - My research: http://faculty.ucmerced.edu/mcarreira-perpinan. - EECS graduate group at UC Merced: http://eecs.ucmerced.edu. - Application procedure: http://graduatedivision.ucmerced.edu. - Application deadline: January 15, 2016. The Electrical Engineering & Computer Science (EECS) graduate group at UC Merced consists of 13 core faculty members and over 40 PhD and MS students. The group has collective interests in machine learning, computer vision, speech processing, artificial intelligence, robotics, sensor networks, distributed computing, computer graphics, databases, intelligent systems and computational neuroscience, among others. UC Merced is the tenth campus of the University of California and the first American research university built in the 21st century. It is located in the California Central Valley, at one hour drive from the Yosemite National Park and two hours from San Francisco and the Bay Area. -- Miguel A. Carreira-Perpinan Professor Electrical Engineering and Computer Science School of Engineering, University of California, Merced 5200 N. Lake Road. Merced, CA 95343 Tel. 209-2284545, Fax 209-2284047 http://faculty.ucmerced.edu/mcarreira-perpinan From jbaimon at sandia.gov Mon Nov 30 10:26:38 2015 From: jbaimon at sandia.gov (Aimone, James Bradley) Date: Mon, 30 Nov 2015 15:26:38 +0000 Subject: Connectionists: NICE Workshop registration and abstract submission Message-ID: <138d8dcbae5242858c34fea172e9f6ce@ES06AMSNLNT.srn.sandia.gov> 2016 Neuro-Inspired Computational Elements Workshop March 7, 2016-March 9, 2016 Berkeley, CA Registration and abstract submission open http://neuroscience.berkeley.edu/2016-neuro-inspired-computational-elements-workshop/ About the meeting Neuro-inspired Computational Elements (NICE) workshops have been held for the last three years, bringing the very wide ranging scientific disciplines (neuroscience: imaging, theory, algorithms), hardware and applications communities looking for a common ground to accelerate the development of next generation of computing approaches. The key outcome will be the further clarification of the value proposition for neuro-inspired/neuromorphic computing: why and how could these systems deliver the performance and efficiency we seek beyond conventional computing approaches? The concurrent task for the workshop is to identify pathways for building and accelerating the evaluation and development of such systems. Speakers include: Steve Zornetzer (NASA Ames) Steve Furber (University of Manchester) Winfield Wilcke (IBM) Wolfgang Maas (Technishe Universitat Graz) Michael Schmucker (University of Sussex) David Kirk (NVidia) Giacomo Indiveri (University of Zurich) Bruce Hendrickson (Sandia National Laboratories) Alice Parker (USC) Dharmendra Modha (IBM) To Register Please click on the following registration page link https://www.regonline.com/Register/Checkin.aspx?EventID=1749241 If you are interested in presenting at the workshop, we ask that you submit an extended abstract (1 page max pdf) during registration. There is an opportunity to upload your abstract at the bottom of the "personal information" page. After your information is entered you will be asked to pay. The 3 day event costs $275.00 per person, plus processing fees. -------------------------- James Bradley Aimone, Ph.D. Principal Member of Technical Staff Data-driven and Neural Computing Department Sandia National Laboratories Phone: (505) 284-3147 Fax: (505) 844-4728 -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Mon Nov 30 10:31:50 2015 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Mon, 30 Nov 2015 15:31:50 +0000 Subject: Connectionists: POSTDOCTORAL GRANT - DATA SCIENCE FOR THE OIL AND GAS INDUSTRY Message-ID: - PLEASE CIRCULATE --- POSTDOCTORAL GRANT - DATA SCIENCE FOR THE OIL AND GAS INDUSTRY INESC TEC (Porto / Portugal) is accepting applications to award 1 Postdoctoral Grant witjhin the Project "INESC TEC - EEA/50014", in the following work area: Data science for the oil industry. Academic Qualifications: PhD in computer science / data science or alike. Minimum Profile required: Very good to excellent writing skills in English; Good communication skills; Very good knowledge of data science / data mining; Willingness to put data science into practice. Preference factors: Very good to excellent writing skills in Portuguese; Knowledge of the oil industry; Experience of data mining with big data. Reference: AE2015-0182 (INESC TEC LA - LIAAD) Project Name: INESC TEC - EEA/5001 Reference Monthly Value: EUR 1495,00 Application Period: 2015-12-09 to 2015-12-22 More info: http://www.inesctec.pt/ip-en/work-with-us/bolsas-inescporto/concurso-para-a-atribuicao-de-1-bolsa-de-pos-doutoramento-area-de-ciencia-de-dados-para-a-industria-do-petroleo?set_language=en&cl=en Carlos Ferreira [http://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png] ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt -------------- next part -------------- An HTML attachment was scrubbed... URL: