From stefano.rovetta at unige.it Tue Oct 1 03:53:22 2019 From: stefano.rovetta at unige.it (Stefano Rovetta) Date: Tue, 1 Oct 2019 09:53:22 +0200 Subject: Connectionists: Call for industrial research assistant "Machine learning for prognostic maintenance" Message-ID: <2864a165-1b03-c573-7bcc-84e703e3792a@unige.it> The University of Genova, Italy announces a public call for applications for one 2-year position as research assistant in an academic-industrial joint project on "Machine learning for prognostic maintenance". Eligibility: - age less than 29 on June 15, 2018 (required by funding body) - 5-year degree in computer science or engineering (mechanical, automation, electronic, computer, communication) or physics or mathematics or statistics Salary: 20000 Euro per year, less taxes and social security (which are limited for this kind of contract) Project direction: Prof. Stefano Rovetta, University of Genova, Italy Project partners: - DIBRIS, department of Computer Science, Bioengineering, Robotics, and Systems Engineering, University of Genova, italy - TAM Software s.r.l., La Spezia, italy - Polo "Distretto Ligure per le Tecnologie Marine", La Spezia, Italy Project funding: Regione Liguria Description: Predictive maintenance is acknowledged as one of the "killer applications" in the fourth industrial revolution, Industry 4.0. The enabling technologies are machine learning and artificial intelligence. The company TAM Software s.r.l., based in La Spezia, Italy, offers a range of application software products for maintenance management, planning, tracking, ticketing, and other maintenance-related services. The activity consists in developing extensions of such software suite, based on machine learning, that can provide forecasting abilities to anticipate the necessity of future maintainance interventions (predictive maintenance), but also to estimate the conditions that are going to occur, to allow a much more detailed planning (prognostic maintenance). This ability notably increases the efficiency both in terms of plant performance (minimizing downtimes) and of its cost (minimizing interventions). In case of a successful 2-year collaboration, the company may hire the candidate as permanent staff. FOR MORE INFORMATION AND INSTRUCTIONS ON HOW TO APPLY: stefano.rovetta at unige.it From interdonatos at gmail.com Tue Oct 1 05:43:46 2019 From: interdonatos at gmail.com (Roberto Interdonato) Date: Tue, 1 Oct 2019 11:43:46 +0200 Subject: Connectionists: CfP: "Reloading Feature-rich Information Networks", Special Issue of IEEE Transactions on Network Science and Engineering Message-ID: CALL FOR PAPERS IEEE Transactions on Network Science and Engineering Special Issue on "Reloading Feature-rich Information Networks" GUEST EDITORS: Sabrina Gaito, Universit? degli Studi di Milano, Italy (gaito at di.unimi.it) Roberto Interdonato, CIRAD - UMR TETIS, Montpellier, France (roberto.interdonato at cirad.fr) Tsuyoshi Murata, Tokyo Institute of Technology, Japan (murata at c.titech.ac.jp) Alessandra Sala, Nokia Bell Labs, Dublin, Ireland (alessandra.sala at nokia-bell-labs.com) Andrea Tagarelli, University of Calabria, Italy (andrea.tagarelli at unical.it) My T. Thai, University of Florida, USA (mythai at cise.u.edu) TOPIC SUMMARY: The growing availability of multi-faceted relational data gives rise to unprecedented opportunities for unveiling complex real-world behaviors and phenomena. This also supports the proliferation of complex network models where the expressive power of the graph-based relational structure is enhanced through exposing several types of features that are peculiar of the domain-specific environment (e.g., social media platforms, biological environment, geographical location, etc.). Examples of this kind of feature-rich networks include Heterogeneous information networks, Multilayer networks, Temporal networks, Location-aware networks, and Probabilistic networks. The aim of this Special Issue, titled "Reloading Feature-rich Information Networks", is to address challenging issues and emerging trends in feature-rich information networks that can be mined in several domains, including not only long studied contexts such as social media and biology, but also less investigated or even new frontiers for network science, such as finance, engineering, archaeology, geology, astronomy, and many others. Although the use of feature-rich networks can intuitively be perceived as beneficial for most research tasks based on graph data, their expressive power has not been yet fully valued in most domains, therefore there is an emergence for providing insights into how the study of complex network models can pave the way for solving domain-specific problems that might not be adequately addressed by existing graph models. Within this view, we solicit contributions on advanced modeling and mining of feature-rich networks, regarding any data domain, including both theoretical and application-oriented studies. In particular, we encourage contributions on the development of novel approaches based on advanced optimization techniques and learning paradigms (e.g., online learning, reinforcement learning, and deep learning) to enhance our understanding of complex phenomena in information networks, but also visionary works about alternative modeling and mining approaches for complex networks. The topics of interest for this special issue include, but are not limited to: _ Foundations of Learning and Mining in feature-rich networks _ Simplification/pruning/sampling of feature-rich networks _ Embedding and Deep Learning in feature-rich networks _ Centrality and Ranking in feature-rich networks _ Vertex similarity in multiplex and feature-rich networks _ Community Detection in feature-rich networks _ Link Prediction in feature-rich networks _ Multiplex and feature-rich networks evolution models _ Ensemble learning for feature-rich networks mining _ Pattern mining in feature-rich networks _ User Behavior Modeling in feature-rich networks _ Influence propagation in feature-rich networks _ Reputation and Trust computing in feature-rich networks _ Probabilistic and Uncertain feature-rich networks _ Time-evolving feature-rich networks _ Hypergraph-based modeling, analysis and learning problems _ Cross-Domain problems in feature-rich networks _ Mobility in feature-rich networks _ Visualization of feature-rich networks IMPORTANT DATES: ? Manuscripts due: December 2, 2019 ? Peer reviews to authors: February 15, 2020 ? 1st round revised manuscripts due: March 15, 2020 ? 2nd round reviews to authors: April 30, 2020 ? 2nd round revised manuscripts due: May 30, 2020 ? Final notifications from editors: June 30, 2020 ? Final accepted manuscripts due: July 10, 2020 SUBMISSION GUIDELINES: Prospective authors are invited to submit their manuscripts electronically, adhering to the IEEE Transactions on Network Science and Engineering guidelines ( https://www.comsoc.org/publications/journals/ieee-tnse/ieee-transactions-network-science-and-engineering-information ). Note that the page limit is the same as that of regular papers. Please submit your papers through the online system ( https://mc.manuscriptcentral.com/tnse-cs) and be sure to select the special issue or special section name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal. If requested, abstracts should be sent by e-mail to the Guest Editors directly. -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Tue Oct 1 06:41:27 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Tue, 1 Oct 2019 13:41:27 +0300 Subject: Connectionists: 14th International Conference on Research Challenges in Information Science (RCIS 2020): First Call for Posters and Demos In-Reply-To: <21AAA08E-D19C-418D-821C-FF9EFD1616CE@cs.ucy.ac.cy> References: <44330110-137F-4B56-B4BE-CDD88B280A8F@cs.ucy.ac.cy> <21AAA08E-D19C-418D-821C-FF9EFD1616CE@cs.ucy.ac.cy> Message-ID: <2B91A57C-8095-40B9-954C-8B20428159A9@cs.ucy.ac.cy> *** First Call for Posters and Demos *** 14th International Conference on Research Challenges in Information Science (RCIS 2020) Royal Apollonia Beach Hotel 5*, Limassol, Cyprus May 20-22, 2020, Limassol, Cyprus http://rcis-conf.com/ Submission deadline: February 14, 2020 (AoE) (Proceedings to be published by Springer) RCIS has become a recognized conference on research challenges in Information Science. Organized for the 14th time in a row, RCIS 2020 will be held from May 20-22, 2020, in Limassol, Cyprus. RCIS 2020 features a posters & demos track to showcase prototypes and new research ideas in Information Science. This track provides a forum for researchers and practitioners to present their work, interact with conference participants, and obtain feedback on on-going research. We invite two types of submissions: ? Posters are intended to convey a research result and are not advertisements for commercial software packages. While posters need not describe completed work, they should report on research for which at least some preliminary results are available. ? Demonstrations should directly and actively involve the exhibition and display of tools/prototypes and associated materials that illustrate research work in progress and serve as ground for discussion of research ideas. TOPICS OF INTEREST RCIS aims to bring together scientists, researchers, engineers and practitioners from a wide range of information science fields and to provide opportunities for knowledge sharing and dissemination. RCIS 2020 will continue paying attention to traditional topics at the conference; in addition, we solicit submissions aligned the special theme of Information Science in the Days of Artificial Intelligence. We understand AI in a broad sense, including machine learning, self-adaptation, logic-based reasoning, automation, agents and multiagent systems, natural language processing, etc. RCIS welcomes posters and demos submissions from any domain of Information Science. The list of interested topics includes, but is not limited to: Information Systems and their Engineering ? Requirements Engineering ? Software Testing ? Information Security and Risk ? Method Engineering User-Oriented Approaches ? Social Computing and Social Network Analysis ? User-Centred Design ? Collaborative Computing ? Human Factors in Information Systems Data and Information Management ? Databases and Information ? Information Search and Discovery ? Conceptual Modelling and Ontologies Business Process Management ? Business Process Engineering and Reengineering ? Process Mining ? Enterprise Engineering Domain-specific IS Engineering ? E-Health, e-Government, e-Commerce, ? ? Industry 4.0 ? Web-Based Applications and Services ? Smart Cities Data Science ? Big Data & Business Analytics ? Decision Information Systems ? Knowledge Management ? Knowledge Discovery from Data Information Infrastructures ? Cyber-Physical Systems ? Web Information Systems ? Grid Computing and Cloud Computing ? Internet of Things ? Pervasive and Mobile Computing Reflective Research and Practice ? Research Methodologies in Information Science ? Impact of Information on the Enterprise and the Individual ? Lifecycle Models ? Design Science and Rationale RCIS STEERING COMMITTEE Sa?d Assar; Marco Bajec; Pericles Loucopoulos; Haralambos Moratidis; Selmin Nurcan; Oscar Pastor; Jolita Ralyt?; Colette Rolland. SUBMISSION GUIDELINES Posters and demonstrations proposals must be submitted as a single PDF file with no more than 6 pages in Springer LNCS/LNBIP format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines) including references and appendices. Proposals that exceed the limit of 6 pages will be rejected without review. Proposals that have already been accepted or are currently under review for other conferences or journals will not be considered for publication at RCIS 2020. Authors are invited to submit their proposal in English. The submission site address is https://easychair.org/conferences/?conf=rcis2020 where you can choose ? RCIS2020 Posters & Demos ?. Poster Presentation Authors of accepted posters will receive an opportunity to complete a short oral presentation during the posters and demos session. Well-crafted posters will tell the story well by themselves, but authors of posters are expected to be available to describe and discuss the work presented in the poster during the session. The poster dimensions will be of A0 type, that is 84 cm by 119 cm (33? by 47?), with poster content mounted on rectangular poster board we will provide. The layout may consist of several individual sheets of paper or a monolithic large sheet. Demos Presentation Authors of accepted demos will have a chance to present their material to conference attendees during the posters and demos session. Authors of demonstrations are expected to be available to present, describe and discuss the work behind the tool/prototype during the session. Authors should bring to the session the material they need to present the demo. Any special request should be communicated sufficiently in advance and agreed with the conference local organizing committee. By submitting a poster or demo paper, authors implicitly agree that at least one of them register to the conference and present the poster or the demo (at least one separate registration for each accepted paper, poster or demo). IMPORTANT DATES ? Posters and Demos submission deadline: February 14, 2020 (AoE) ? Notification to authors and registration opening: March 15, 2020 ? Author registration deadline for all paper types: March 31, 2020 ? Camera-ready copy deadline for all paper types: March 31, 2020 ? Conference: May 20-22, 2020 CONFERENCE COMMITTEES General Chairs ? George A. Papadopoulos, University of Cyprus, Cyprus ? Pericles Loucopoulos, Harokopio University of Athens, Greece Organising Chair ? Petros Stratis, Easy Conferences LTD., Cyprus Program Chairs ? Jelena Zdravkovic, Stockholm University, Sweden ? Fabiano Dalpiaz, Utrecht University, Netherlands Doctoral Consortium Chairs ? Raian Ali, Bournemouth University, United Kingdom ? Sergio Espa?a, Utrecht University, Netherlands Tutorial Chairs ? Estefania Serral Asensio, KU Leuven, Belgium ? Ignacio Panach, University of Valencia, Spain Posters & Demos Chairs ? Elena Kornyshova, Conservatoire National des Arts et M?tiers, France ? Marcela Ruiz, Zurich University of Applied Sciences, Switzerland -------------- next part -------------- An HTML attachment was scrubbed... URL: From hrvoje.stojic at protonmail.com Tue Oct 1 05:40:37 2019 From: hrvoje.stojic at protonmail.com (Hrvoje Stojic) Date: Tue, 01 Oct 2019 09:40:37 +0000 Subject: Connectionists: Postdoc position on attention and decision-making Message-ID: <1vUq75OXfCczWBPJyGyCRswR-4JoykHQ5Man2PbICxONkMOU6hcbznP7Xv0fm8svWXFRwG0rs2mS34pHO3FWXUa5pIdBz5Wj43MVyragYug=@protonmail.com> We are searching for a postdoctoral researcher for a 2-year project (with possibility of extension) on attention and decision-making. Project lead: Jacob L. Orquin (Aarhus University) Collaboration: Raymond Dolan and Hrvoje Stojic (University College London), Peter Todd (Indiana University) Location: Aarhus University (Denmark) The project aims to investigate the relation between natural visual input, eye movement control and decision-making processes. It will involve state-of-the-art computational modelling of vision, attention and decision making, and behavioural experiments using eye-tracking. The postdoc will have ample room for defining the project based on own interests. We are looking for candidates with experience in vision or decision making research, in ideal case comfortable with computational modelling and conducting eye-tracking experiments, and good coding abilities in either R, Python, or Matlab. The complete job description and submission link is available here: https://international.au.dk/about/profile/vacant-positions/job/postdoctoral-position-on-attention-and-decision-making-at-aarhus-university/ Closing date: 1 November 2019 Informal inquiries about the position can be directed to Jacob L. Orquin at: jalo at mgmt.au.dk Apologies for cross-posting. ----------------------------- Hrvoje Stojic, PhD Postdoctoral researcher University College London Website: http://hstojic.re/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From marc.dymetman at naverlabs.com Tue Oct 1 10:25:48 2019 From: marc.dymetman at naverlabs.com (Marc Dymetman) Date: Tue, 01 Oct 2019 16:25:48 +0200 Subject: Connectionists: Internship position on Reinforcement Learning for Controlled Text Generation , NAVER Labs Europe (Grenoble, France) Message-ID: <8A44E014-28AC-4EB1-80DF-742DAE6D3221@naverlabs.com> Are you a currently enrolled student at the Master or PhD level with a strong interest in Deep Learning, Reinforcement Learning, and/or NLP? NAVER Labs Europe is opening an internship position on Reinforcement Learning for Controlled Text Generation, which might be of interest to you. See below. For more information and for applying, please visit the page https://europe.naverlabs.com/job/reinforcement-learning-for-controlled-text-generation/ and follow the instructions given there. ----------- NAVER LABS Europe: Internship Start date: Fall 2019 or early 2020 Duration; 5-6 months We are opening a research internship on Reinforcement Learning techniques for applications to controlled text generation. Under conditions where training data is limited, standard end-to-end training of seq2seq models may generalize poorly and produce inadequate results at test time. A possible remedy is to augment models with rewards that control the quality of the outputs. These rewards can address two complementary goals: (i) taking into account global characteristics of observed sequences that go beyond standard local teacher-forcing training techniques (observation bias problem), and (ii) moving the generation process towards desired properties of the output (e.g. favoring shorter sentences or performing style transfer). Supervisors: Marc Dymetman and Hady Elsahar. We are looking for a motivated intern to help us develop methods and algorithms for addressing this general problem, both in theory and in practice. Experiments will be conducted on selected text generation tasks (NLG, summarization or machine translation). The successful candidate should be enrolled in a graduate program, at the Master or (preferably) PhD level, with experience (ideally) in Deep Learning, Reinforcement Learning and Natural Language Processing. Publication of results in major conferences/journals will be strongly encouraged. REQUIRED SKILLS : Strong mathematical and programming skills as well as familiarity with one of the major current deep learning toolkits (PyTorch preferred but not compulsory) are a requirement. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marieke.van.erp at dh.huc.knaw.nl Tue Oct 1 14:24:32 2019 From: marieke.van.erp at dh.huc.knaw.nl (Marieke van Erp) Date: Tue, 1 Oct 2019 18:24:32 +0000 Subject: Connectionists: Deadline extended (15/10): Special Issue on Language Technology and Knowledge Graphs References: <161AB2C9-D631-4F7C-875D-39304DD74B35@dh.huc.knaw.nl> Message-ID: * Apologies for cross-posting * Special Issue on Language Technology and Knowledge Graphs Submission deadline: 15 October 2019 Call for Papers Language understanding and knowledge engineering are among the most active research and development areas due to the proliferation of big data. This special issue on Language Technology and Knowledge Graphs is devoted to gather and present innovative research, systems and applications that address the challenges in the broad areas of language and knowledge intelligence, presenting a platform for researchers to share their recent observations and achievements in the field. Special topics for this special issue include but are not limited to: 1. Textual Entailment and Knowledge * Textual entailment * Fact checking * Fake news detection * Argumentation mining 2. Knowledge-Guided NLP * Question answering and reading comprehension * Dialogue systems * Information Retrieval * Multilinguality * Recommender systems * Machine Translation * Knowledge-Guided Deep Learning * Complex knowledge-driven Information Extraction tasks e.g., relation extraction, event extraction * Methods and metrics for evaluation of semantic annotations with respect to ontologies * Knowledge-driven entity disambiguation and resolution 3. Contextual Knowledge Graphs and Language Technology * Extracting and modelling temporally bounded information * Dealing with culturally-aware information * Handling domain specificity of information 4. Information Extraction for Knowledge Graphs * Extraction from unstructured versus semi-structured textual sources (e.g. tables) * Dealing with the imperfections of Information Extraction techniques in the Semantic Web setting and their impact * Multi-source or multilingual Information Extraction for ontology population * Information extraction subtasks (e.g., terminology extraction, relation extraction, coreference resolution) for the Semantic Web * Methods and metrics for evaluation of Information Extraction for the Semantic Web 5. Applications and Architectures * Knowledge-based Information Extraction for specific domains and applications, e.g. business analytics, healthcare and biomedicine, cultural heritage etc. * Information Extraction for social media mining * Scalability of tools and resources * Platforms and architectures for automatic and semi-automatic semantic annotation * Tools and methodologies for building and managing complex processing workflows Types of papers Research papers describing well-identified scientific contributions which are thoroughly evaluated. Those papers are typically 15-20 pages long. System and Resource papers that focus on the description of systems or resources relevant to this special issue where the authors fully detail the design, construction, implementation and usage as well as demonstrate its usefulness. Those papers are expected to be 8-10 pages long. Please select VSI: LT&KGs in the submission system. More information and submission: https://www.journals.elsevier.com/journal-of-web-semantics/call-for-papers/language-technology-and-knowledge-graphs For questions contact: marieke.van.erp at dh.huc.knaw.nl Important Dates * Submission deadline: 15 October 2019 * Author notification: 17 November 2019 * Publication: Q1 2020 Guest Editors * Marieke van Erp, KNAW Humanities Cluster, DHLab, the Netherlands * Jeff Z. Pan, University of Aberdeen, UK * Zhiyuan Liu, Tsinghua University, China -- Digital Humanities Lab / dhlab.nl KNAW Humanities Cluster / huc.knaw.nl http://www.mariekevanerp.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From schapire at microsoft.com Wed Oct 2 15:01:00 2019 From: schapire at microsoft.com (Robert Schapire) Date: Wed, 2 Oct 2019 19:01:00 +0000 Subject: Connectionists: ML/AI Postdoc Positions at Microsoft Research NYC Message-ID: Microsoft Research in New York City seeks outstanding postdoc applicants in the areas of machine learning, artificial intelligence, and related fields. Microsoft Research offers an exhilarating and supportive 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 with the passion and ability to craft and pursue an independent research program, including a strong publication record at top research venues. The earliest start date is July 1, 2020. APPLICATION DEADLINE FOR FULL CONSIDERATION: December 1, 2019. For more details, and to apply, visit: https://careers.microsoft.com/us/en/job/704686/Post-Doc-Researcher-Machine-Learning The typical length of a postdoc here is two years, following the academic calendar. A one-year postdoc is also possible, if you have (or will have) a tenure-track offer and are able to defer it for at least one year to accept our position. The Microsoft Research machine learning group in New York includes Hal Daum? III, Miroslav Dud?k, Akshay Krishnamurthy, John Langford, Dipendra Misra, Robert Schapire, Alex Slivkins, Jenn Wortman Vaughan, and Hanna Wallach. We collaborate extensively with the other groups at MSR NYC (fairness/accountability/transparency/ethics in AI, algorithmic economics, computational social science, and computer systems) and with groups across Microsoft Research. To be assured of full consideration, all application materials, including reference letters, need to be received by December 1, 2019. Applications received after that date may or may not be considered. We are committed to building an inclusive, diverse and pluralistic research environment, and strongly encourage applications from women, minorities, individuals with disabilities, veterans, as well as students with non-traditional backgrounds. Responsibilities: As a postdoc, you define your research agenda in collaboration with other researchers, driving forward an effective program of basic, fundamental, and applied research. We highly value collaboration and building new ideas with members of the group and others. You have the direct opportunity to realize your ideas in products and services used worldwide. Qualifications: ? PhD in computer science, electrical engineering, statistics, mathematics, or a related field; all PhD requirements, including final thesis submission, must be completed prior to joining the lab. ? Research ability demonstrated by peer-reviewed conference or journal publications. ? Research agenda that overlaps with ML group. ? Participation and activity in the scientific community. ? Strong communication skills. ? The ability to work in a highly collaborative and interdisciplinary environment. -------------- next part -------------- An HTML attachment was scrubbed... URL: From blink.yu at mdpi.com Wed Oct 2 10:42:16 2019 From: blink.yu at mdpi.com (Blink Yu) Date: Wed, 2 Oct 2019 22:42:16 +0800 Subject: Connectionists: Call for Paper: /Information/ Special Issue "Digital Humanities" Message-ID: [Apologies if you receive multiple copies of this message] ==================================== Special Issue "Digital Humanities" Deadline for manuscript submissions: 1 March 2020. Guest Editor: Dr. Cesar Gonzalez-Perez Institute of Heritage Sciences (Incipit), Spanish National Research Council (CSIC), Avda. Vigo, s/n, 15705 Santiago de Compostela, Spain Website: https://www.mdpi.com/journal/information/special_issues/information_digital_humanities ======================= Dear Colleagues, We cordially invite you to submit a manuscript for consideration and possible publication in a Special Issue on "Digital Humanities" to be published in an Ei Compendex ESCI and Scopus-indexed open access journal Information (http://www.mdpi.com/journal/information). The submission manuscript deadline is 1 March 2020. For more details, please visit the website: https://www.mdpi.com/journal/information You may share this invitation with your team members and colleagues; co-authors are most welcome. Please let me know within a month or as soon as possible if you and your colleagues are interested in submitting a manuscript for this special issue. If more time is needed, please feel free to tell us (information at mdpi.com). Your contribution would be most welcome. /Information/ is a fully open access journal published monthly online by MDPI. It is covered by Scopus (Elsevier), Ei Compendex, Emerging Sources Citation Index (ESCI-Web of Science), etc. We maintain a rapid editorial procedure and rigorous peer-review. A first decision is provided to authors approximately 16.5 days after submission; acceptance to publication is undertaken in 4.8 days: https://www.mdpi.com/journal/information. For further details on the submission process, please see the instructions for authors at the journal website (http://www.mdpi.com/journal/information/instructions). We hope this topic is of interest to you and look forward to collaborating with you in the near future. Kind regards, Blink Yu --- Dear Colleagues, Digital humanities have been described as carrying out humanistic work with the support of digital tools and/or doing humanistic work concerning the digital world. In either case, digital humanities are in vogue, and many researchers in the humanities regularly carry out their work in information- and computing-intensive settings. However, there is no consensus on what digital humanities are, whether they constitute a new discipline, or what their scope is supposed to be. This Special Issue of Information attempts to shed some light on these issues by focusing on the role information plays in humanistic research and, specifically, how humanistic knowledge is generated, communicated, used, and institutionalized through information-intensive tools, techniques, and methods. Relevant areas are those that are important to the humanities, such as how things are documented and described; how natural language is incorporated into the research process; how time, space, subjectivity, change, and multilingualism affect reasoning and knowledge production; how computing techniques (such as big data, artificial intelligence, visualization, and many others) can help in the humanities; how socio-technical issues (such as specialized education, social networks, information reuse, or multidisciplinarity) impact humanities research; and any other aspects of humanistic research that are often performed in information-intensive settings. I hope this initiative is of interest to you, and I look forward to your submissions. Dr. Cesar Gonzalez-Perez Guest Editor -- Mr. Blink Yu Managing Editor E-Mail: blink.yu at mdpi.com Skype: live:c91693ac8277e1f0 -- MDPI Wuhan Office No.6 Jingan Road, 430064 Wuhan, China MDPI Postfach, CH-4020 Basel, Switzerland http://www.mdpi.com -- Disclaimer: MDPI recognizes the importance of data privacy and protection. We treat personal data in line with the General Data Protection Regulation (GDPR) and with what the community expects of us. The information contained in this message is confidential and intended solely for the use of the individual or entity to whom they are addressed. If you have received this message in error, please notify me and delete this message from your system. You may not copy this message in its entirety or in part, or disclose its contents to anyone. From ccht at iit.it Wed Oct 2 08:34:07 2019 From: ccht at iit.it (ccht) Date: Wed, 2 Oct 2019 12:34:07 +0000 Subject: Connectionists: Computer Vision and Machine Learning for Cultural Heritage - [ Postdoc ]- Venice Message-ID: <3a62465f051045e99954cec83cb3ddd9@iit.it> Computer Vision and Machine Learning for Cultural Heritage - [ Postdoc ] Added on: 26/09/2019 - Expires on 15/11/2019 The IIT Center for Cultural Heritage Technology (CCHT at Ca'Foscari) of Istituto Italiano di Tecnologia in Venice aims at researching and promoting new technologies and approaches for analysis and preservation of Cultural Heritage expanding and improving current approaches. More broadly, it engages in the field of Digital Humanities by applying digital analysis to the textual and iconographic content of material culture. A strongly interdisciplinarity-oriented infrastructure, the Center combines expertise from computing and conservation sciences domains, integrating these competencies to foster cutting-edge research. CCHT at Ca'Foscari is currently seeking to appoint a Computer Vision/Machine Learning post doc with high level of seniority. The selected candidate will join an interdisciplinary team of researchers, contributing to the development of next generation computer vision and machine learning approaches applied to the Cultural Heritage (CH) and, more broadly, Digital Humanities (DH) domains. Required qualifications: ? a Ph.D. in computer science or related field (with specialisation in either computer vision or machine learning) and at least 3 years of postdoc experience; ? Knowledge of programming languages, e.g. Python, C/C++ and MATLAB; ? Experience in grant proposal preparation at European and National level; ? Previous work and proven interest in cultural heritage and, more broadly, Digital Humanities ? Proven interdisciplinary collaborations with scientific staff or stakeholders in the Cultural Heritage /Digital Humanities fields. ? Strong track record of research publications in top tier conferences and journals (e.g. CVPR, ICCV, ECCV, ICML, NIPS, PAMI, JMLR, etc.). ? Good communication skills and ability to cooperate; ? Proficient in English language (written and oral). Desirable skills: ? Experience in supervising or co-supervising Ph.D. students or junior postdocs; ? Knowledge of OpenCV, PCL and Open3D libraries; ? Experience on Deep Learning algorithms and relevant platforms (e.g. TensorFlow, PyTorch, Theano, Caffe); The successful candidate will be offered a salary commensurate to experience and skills. The call will remain open until the position is filled but a first deadline for evaluation of candidates will be November 15, 2019. Please send your application to applications at iit.it quoting "CCHT Computer Vision and Machine Learning Senior PostDoc BC 77512" in the e-mail subject. Your application must include (as separate documents): a detailed CV a research statement, expanding on current and past research 3 representative publications. 2 reference letters Contacts: applications at iit.it [cid:image001.png at 01D5792E.10DD6920] Center for Cultural Heritage Technologies @Ca'Foscari VEGA - Parco Scientifico Tecnologico di Venezia Porta dell'Innovazione Via della Libert?, 12 30175 - Marghera (VE) Italy twitter.com/IITalk www.facebook.com/IITalk www.iit.it DONA IL TUO 5X1000 ALL'ISTITUTO ITALIANO DI TECNOLOGIA codice fiscale 97329350587 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 10737 bytes Desc: image001.png URL: From george at cs.ucy.ac.cy Thu Oct 3 09:18:24 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Thu, 3 Oct 2019 16:18:24 +0300 Subject: Connectionists: 14th International Conference on Research Challenges in Information Science (RCIS 2020): First Call for Doctoral Consortium In-Reply-To: <2B91A57C-8095-40B9-954C-8B20428159A9@cs.ucy.ac.cy> References: <44330110-137F-4B56-B4BE-CDD88B280A8F@cs.ucy.ac.cy> <21AAA08E-D19C-418D-821C-FF9EFD1616CE@cs.ucy.ac.cy> <2B91A57C-8095-40B9-954C-8B20428159A9@cs.ucy.ac.cy> Message-ID: <1BE051A2-07D0-4CFE-932E-663E775B4E1B@cs.ucy.ac.cy> *** First Call for Doctoral Consortium *** 14th International Conference on Research Challenges in Information Science (RCIS 2020) Royal Apollonia Beach Hotel 5*, Limassol, Cyprus May 20-22, 2020, Limassol, Cyprus http://rcis-conf.com/ Submission deadline: February 14, 2020 (AoE) (Proceedings to be published by Springer) RCIS aims to bring together scientists, researchers, engineers and practitioners from a wide range of information science fields and to provide opportunities for knowledge sharing and dissemination. RCIS 2020 will continue paying attention to traditional topics at the conference; in addition, we solicit submissions aligned the special theme of Information Science in the Days of Artificial Intelligence. We understand AI in a broad sense, including machine learning, self-adaptation, logic-based reasoning, automation, agents and multiagent systems, natural language processing, user modelling, behavioural analytics, etc. The RCIS 2020 Doctoral Consortium is an opportunity for doctoral students to present, discuss and develop their research project in an interdisciplinary workshop, under the guidance of a panel of senior researchers. The Doctoral Consortium offers nice opportunities for PhD students. Firstly, the feedback received during the Doctoral Consortium will really benefit students who have defined their topic, research plan and have obtained early results, but who still have room for improving their longer-term plan. Secondly, students at all stages of their doctoral project can meet the welcoming RCIS community and widen their network of contacts. The main scope and topics of the Doctoral Consortium are the same as those of the main conference. RCIS welcomes submissions from the whole spectrum of the Information Science field. The list of themes and topics includes, but is not limited to, Information Systems and their Engineering, Data and Information Management, Domain-specific IS Engineering, Information Infrastructures, User-Oriented Approaches, Business Process Management, Data Science, Reflective Research and Practice (see the call for papers of RCIS 2020 for more detail). OBJECTIVES The Doctoral Consortium has the following objectives: ? Provide a platform for students to present their work and to meet other peers and be familiar with different research topics and methods. ? Provide feedback on students' current research and guidance on future research directions. ? Promote the development of a supportive community of scholars and a spirit of collaborative research and networking. ? Contribute to the conference goals through interaction with other researchers. The Doctoral Consortium is organised in sessions that are part of the RCIS 2020 conference programme. SUBMISSION GUIDELINES Interested PhD students are invited to submit papers, in agreement with their supervisors, addressing the following instructions. Please bear in mind that we are not prescribing a specific structure of sections; we just expect that you cover these topics in the paper: ? Introduce the field of research and identify the main challenges. ? Formulate the research questions and objectives, justifying why they were chosen. ? Outline the current knowledge of the problem domain, as well as the state of existing solutions. ? Sketch the research methodology that is being applied. ? Describe the proposed solution and the results achieved so far. ? State how the suggested solution is different from or better than existing approaches. ? Indicate the issues still to be resolved and describe the next steps that are planned. Papers shall be formatted according to the Springer LNCS/LNBIP conference proceedings template (for LaTeX and Word): https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines Submissions must be written in English, and must be authored by the student only. The maximum length of the paper should be eight (8) pages, including references, appendices, etc. Papers that have already been accepted or are currently under review for other conferences, workshops or journals will not be considered for publication at the RCIS 2020 Doctoral Consortium. So, while we can accept certain overlap with other papers, we discourage re- submissions and double submissions. Authors of accepted submissions will submit the camera-ready version using the same format as the initial submission (some additional instructions might be issued at this stage). The reviewers? comments shall be taken into account in the camera-ready paper. Only papers that have been presented by their author will be published in the conference proceedings. Authors will receive information on the presentation, and how to register for the conference. There will be a discounted registration fee for Doctoral Consortium students. The accepted papers will be published in a Springer LNBIP volume, along with the other papers accepted for RCIS 2020. This will give visibility to the work of the doctoral student and contribute to building their CV. The submission site is https://www.easychair.org/conferences/?conf=rcis2020 Please choose ?Doctoral Consortium? as a submission type. By submitting a Doctoral Consortium paper, doctoral students commit that they will attend the conference to present their research. The appearance of a paper in the Springer proceedings is dependent on the registration of the author within the early registration deadline on March 31, 2020. REVIEW PROCESS The review and decision of acceptance will be based on the opinions of at least two reviewers. Several factors will be considered, including the quality of the proposal, the clarity of the paper, and the stage within the doctoral education program. The selection process will, when possible, maximise a good coverage of the topics of the conference and diversity of participants' background, research objectives, and research methods. AT THE CONFERENCE Each student will present his or her work to the participants with substantial time allowed for discussion and questions by participating researchers and other students. The discussion will be guided by a member of the committee of expert mentors, who will play the role of proposal discussant together with another PhD student that has been accepted at the Doctoral Consortium. Each student will be invited to review another accepted Doctoral Consortium paper and prepare a few questions to be discussed during the consortium day. The papers will be assigned in advance such that the students will have sufficient time to review the paper and prepare their questions. The consortium sessions will have an informal and friendly atmosphere where every participant is encouraged to be actively involved in the discussion, the core objective being to learn how to conduct excellent research, as well as provide and receive useful feedback to improve one?s work. IMPORTANT DATES ? Papers submission deadline: February 14, 2020 (AoE) ? Notification to authors and registration opening: March 15, 2020 ? Author registration deadline for all paper types: March 31, 2020 ? Camera-ready copy deadline for all paper types: March 31, 2020 ? Conference: May 20-22, 2020 CONFERENCE COMMITTEES Steering Committee ? Sa?d Assar, Institut Mines-Telecom Business School, France ? Marko Bajec,University of Ljubljana, Slovenia ? Pericles Loucopoulos, Manchester University, University Kingdom ? Haralambos Moratidis, University of Brighton, United Kingdom ? Selmin Nurcan, Universit? Paris 1 Panth?on-Sorbonne, France ? Oscar Pastor, Universitat Polit?cnica de Val?ncia, Spain ? Jolita Ralyt?, CUI, University of Geneva, Suisse ? Colette Rolland, Universit? Paris 1 Panth?on-Sorbonne, France General Chairs ? George A. Papadopoulos, University of Cyprus, Cyprus ? Pericles Loucopoulos, Harokopio University of Athens, Greece Organising Chair ? Petros Stratis, Easy Conferences LTD., Cyprus Program Chairs ? Jelena Zdravkovic, Stockholm University, Sweden ? Fabiano Dalpiaz, Utrecht University, Netherlands Doctoral Consortium Chairs ? Raian Ali, Bournemouth University, United Kingdom ? Sergio Espa?a, Utrecht University, Netherlands Tutorial Chairs ? Estefania Serral Asensio, KU Leuven, Belgium ? Ignacio Panach, University of Valencia, Spain Posters & Demos Chairs ? Elena Kornyshova, Conservatoire National des Arts et M?tiers, France ? Marcela Ruiz, Zurich University of Applied Sciences, Switzerland -------------- next part -------------- An HTML attachment was scrubbed... URL: From erdi.peter at wigner.mta.hu Thu Oct 3 08:26:13 2019 From: erdi.peter at wigner.mta.hu (=?ISO-8859-2?Q?=C9rdi_P=E9ter?=) Date: Thu, 3 Oct 2019 14:26:13 +0200 (CEST) Subject: Connectionists: Ranking: The Unwritten Rules of The Social Game We All Play Message-ID: This mail is to announce a new "general interest" book: Ranking: The Unwritten Rules of The Social Game We All Play (Oxford University Press) Author: P?ter ?rdi (Henry Luce Professor of Complex Systems Studies, Kalamazoo College and Wigner Research Centre for Physics, Budapest) We like to see who is stronger, richer, better, more clever. Since we humans (1) love lists; (2), are competitive and (3), are jealous of other people, we like ranking. Students ranked in ascending order based on their heights in a gym reflects objectivity. However, many Top Ten (twenty one, thirty three etc) lists based on subjective categorization and give the illusion of objectivity only. We don't want to be seen always objective, since we don't mind to have a better image and rank as we deserved. The book applies scientific theories to everyday experience by raising and answering such questions as: Are college ranking lists objective? How do we rank and rate countries based on their fragility, level of corruption, or even happiness? How do we find the most relevant web pages? How employees are ranked ? The book is offered to people whose neighbor has a fancier car; employees, who are being ranked by their supervisors; managers, who are involved in ranking but may have qualms about the process; businessmen interested in creating better visibility for their companies; scientists, writers, artists, and other competitors who would like to see themselves at the top of a success list; college students who are just preparing to enter the new phase of social competition. The Reader will enjoy the intellectual adventure to understand our difficulties to navigate between objective and subjective and gets help to identify and modify her place in real and virtual communities by combining human and computational intelligence. Google Preview: https://global.oup.com/academic/product/ranking-9780190935467?cc=us&lang=en&# OUP website of the book: https://global.oup.com/academic/product/ranking-9780190935467?cc=us&lang=en&# !discount code inside https://aboutranking.com/2019/05/15/flyer-at-this-time-for-friends-only/ ! Kind regards, the author From thomas.j.palmeri at vanderbilt.edu Thu Oct 3 09:51:58 2019 From: thomas.j.palmeri at vanderbilt.edu (Palmeri, Thomas J) Date: Thu, 3 Oct 2019 13:51:58 +0000 Subject: Connectionists: Tenure Track Faculty Position in Computer Science and Data Science at Vanderbilt University Message-ID: TENURE TRACK FACULTY POSITION IN COMPUTER SCIENCE AND DATA SCIENCE THE DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE (EECS) AT VANDERBILT UNIVERSITY is seeking candidates for a tenure-track faculty position in computer science. Candidates will be considered in broadly defined areas of machine learning, artificial intelligence, data science, natural language processing, visualization, and/or computer vision. Successful candidates are expected to teach at the undergraduate and graduate levels and to develop and grow vigorous programs of externally funded research. The Vanderbilt CS program provides a unique, collaborative, and interdisciplinary research environment. These positions are part of a broader multi-year faculty hiring initiative in the data sciences. Candidates will be core members of Vanderbilt's recently established Data Science Institute, and will be expected to contribute to the research and teaching mission of the institute, and ideally to foster research collaborations with existing faculty across academic departments working on data science related topics. Vanderbilt University is a private, internationally renowned research university located in vibrant Nashville, Tennessee. Its 10 schools share a single cohesive campus that nurtures interdisciplinary activities. The School of Engineering is on a strong upward trajectory in national and international stature and prominence, and has built infrastructure to support a significant expansion in faculty size. In the rankings of graduate engineering programs by U.S. News & World Report, the School ranks in the top 5 among programs with fewer than 100 faculty members. 5-year average T/TK faculty funding in the EECS Department is above $800k per year. All junior faculty members hired during the past 15 years have received prestigious young investigator awards, such as NSF CAREER and DARPA CSSG. With a metro population of approximately 1.5 million people, Nashville has been named one of the 15 best U.S. cities for work and family by Fortune magazine, was ranked as the #1 most popular U.S. city for corporate relocations by Expansion Management magazine, and was named by Forbes magazine as one of the 25 cities most likely to have the country's highest job growth over the coming five years. Major industries include tourism, printing and publishing, manufacturing technology, music production, higher education, finance, insurance, automobile production and health care management. Vanderbilt University has a strong institutional commitment to recruiting and retaining an academically and culturally diverse community of faculty. Minorities, women, individuals with disabilities, and members of other underrepresented groups, in particular, are encouraged to apply. Vanderbilt is an Equal Opportunity/Affirmative Action employer. Applications should be submitted on-line at: http://apply.interfolio.com/69338. For more information, please visit our web site: http://engineering.vanderbilt.edu/eecs. Applications will be reviewed on a rolling basis beginning November 15, 2019 with telephone interviews beginning December 1, 2018. The final application deadline is January 15, 2020. --------------------------- Thomas Palmeri Distinguished Professor of Psychology co-Director of Scientific Computing Department of Psychology 507 Wilson Hall Vanderbilt University 111 21st Avenue South Nashville, Tennessee 37240 thomas.j.palmeri at vanderbilt.edu http://catlab.psy.vanderbilt.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From dipanjand at google.com Thu Oct 3 13:37:06 2019 From: dipanjand at google.com (Dipanjan Das) Date: Thu, 3 Oct 2019 13:37:06 -0400 Subject: Connectionists: AKBC 2020: Call for participation Message-ID: Dear Colleagues, My apologies if you see this cross-posted. Please circulate among your colleagues. Dipanjan -------------------------------- AKBC 2020 2nd Conference on Automated Knowledge Base Construction (AKBC) June 22-24, 2020, Monday-Wednesday, Irvine, CA Homepage: http://www.akbc.ws ; Email: info at akbc.ws Key dates - Abstract submission deadline: February 6. 2020 - Paper submission deadline: February 13, 2020 - Notification of acceptance: April 20, 2020 - Conference & Workshop Dates: June 22-24, 2020 Knowledge Base Construction Knowledge gathering, representation, and reasoning are among the fundamental challenges of artificial intelligence. Large-scale repositories of knowledge about entities, relations, and their abstractions are known as ?knowledge bases?. Most major technology companies now have substantial efforts in knowledge base construction. Related scholarly work spans many research areas, including machine learning, natural language processing, computer vision, information integration, databases, search, data mining, knowledge representation, human computation, human-computer interfaces, and fairness. The AKBC conference serves as a research forum for all these areas, in both academia and industry. New Conference Nearly ten years after the first AKBC workshop in Grenoble, France, AKBC has become a conference, with its widely-acclaimed first instantiation last year in Amherst MA. Why a new stand-alone conference? - Long-standing and growing interest in the area, now with too much material for a one-day workshop. We have sufficient material for a two-day conference plus topical workshops. - We want to grow and connect the community beyond existing individual conference communities, bringing together ML, NLP, DB, IR, KRR, semantics, reasoning, common sense, QA, human computation, dialog, HCI. - We want to set our own culture, including reviewing practices, and meeting format. We have fond memories of the first AKBC 2010 in Grenoble: a two-day meeting that included an afternoon hike in the Alps with much great scientific discussion. - Why now? Growing interest across many areas. Disconnect among multiple relevant communities. Growing industry and government interest. Many of the long-existing conferences have grown uncomfortably large; a new, smaller conference can be more intimate, hospitable, and supportive. Call For Papers We invite the submission of papers describing previously unpublished research, including new methodology, datasets, evaluations, surveys, reproduced results, negative results, and visionary positions. Topics of interest include, but are not limited to: - Natural language processing, information extraction, extraction of entities, relations, and events, semantic parsing, coreference, machine reading, entailment, web mining, multilingual NLP. - Information integration, entity resolution, schema & ontology alignment, text and structure alignment, federated KBs, Semantic Web. - Machine learning, supervised, unsupervised, lightly-supervised and distantly-supervised learning, deep learning, symbolic learning, multimodal learning, embeddings of knowledge. - Search, question-answering, reasoning, knowledge base completion, queries on mixtures of structured and unstructured data; querying under uncertainty. - Multi-modal knowledge bases: structured data, text, images, video, audio. - Human-computer interaction, crowdsourcing, interactive learning. - Fairness, accountability, transparency, misinformation, multiple viewpoints, uncertainty. - Databases, probabilistic databases, distributed databases, database cleaning, scalable computation, distributed computation, dynamic data, online adaptation of knowledge. - Systems, languages and toolkits, demonstrations of existing knowledge bases. - Evaluation of AKBC, datasets, evaluation methodology. Authors of accepted papers will have the option for their conference paper to be archival (with full text in AKBC Proceedings, and be considered for best paper awards) or non-archival (listed in AKBC Conference schedule, with full text in OpenReview, and the flexibility to also submit elsewhere). Double-blind reviewing will be performed on the OpenReview platform, with papers, reviews and comments publicly visible, much like ICLR 2020. Papers should be restricted to 10 pages excluding references (the equivalent of about 8 pages double column). Submission site: http://www.akbc.ws/2020/submission Dual Submission Policy: Submissions that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, are not allowed and violate our dual submission policy. However, papers that cite previous related work by the authors and papers that have appeared on non-peered reviewed websites (like arXiv) or that have been presented at workshops (i.e., venues that do not have publication proceedings) do not violate the policy. The policy is enforced during the whole reviewing process period. Invited Talks Jonathan Berant (Tel Aviv University / Allen Institute for AI) William Cohen (Google AI) Xin Luna Dong (Amazon) Heng Ji (University of Illinois, Urbana-Champaign) Jure Leskovec (Stanford) Ndapandula Nakashole (University of California, San Diego) Theodoros Rekatsinas (University of Wisconsin-Madison) Andrew Su (Scripps Institute) Emma Strubell (Facebook/CMU) Jamie Taylor (Google) Benjamin Van Durme (John Hopkins University) Diyi Yang (Georgia Institute of Technology) Luke Zettlemoyer (University of Washington/Facebook) Workshops In addition to the two-day conference program, we will have a one-day collection of workshops on focused topics. Organizers General Co-Chair Andrew McCallum , University of Massachusetts Amherst, USA General Co-Chair Alon Halevy , Facebook AI, USA Program Co-chair Hannaneh Hajishirzi , University of Washington/Allen Institute for AI, USA Program Co-chair Dipanjan Das , Google, USA Workshop Co-chair Amanda Stent , Bloomberg, USA Workshop Co-chair Zachary Ives , University of Pennsylvania, USA Funding Chair Christopher R? , Stanford University, USA Local Co-chair Sameer Singh , University of California, Irvine, USA Local Co-chair Matt Gardner , Allen Institute for AI, USA Area Chairs Isabelle Augenstein , University of Copenhagen Danqi Chen , Princeton University Zornitsa Kozareva , Google Kenton Lee , Google Andre Martins , Unbabel and Instituto Superior T?cnico Mausam , Indian Institute of Technology, Delhi Emily Pitler , Google Xiang Ren , University of Southern California Alan Ritter , Ohio State University Minjoon Seo , University of Washington Vivek Srikumar, University of Utah Ivan Titov , University of Edinburgh Guy Van den Broeck , University of California, Los Angeles Byron Wallace , Northeastern University Mark Yatskar , University of Pennsylvania Questions? Please mail info at akbc.ws. -------------- next part -------------- An HTML attachment was scrubbed... URL: From javier.o.garcia.civ at mail.mil Thu Oct 3 18:31:18 2019 From: javier.o.garcia.civ at mail.mil (Garcia, Javier O CIV USARMY FUTURES COMMAND (USA)) Date: Thu, 3 Oct 2019 22:31:18 +0000 Subject: Connectionists: Postdoc Opportunity for the US CCDC Army Research Laboratory Message-ID: <6CACDB5D09BC0C488E11AB3665397C101D89C9CF@ugunhu4m.easf.csd.disa.mil> We are seeking a motivated postdoctoral candidate to work on an interdisciplinary project to study the neuroscientific and general physiological aspects of group processes as part of the Human Research and Engineering Directorate of the US CCDC Army Research Laboratory. Location of the position is flexible (San Francisco, CA preferred), and the candidate will have the opportunity to travel between sites for this multi-university initiative. Applicants are expected to have a strong analytical background and excellent problem solving skills with a PhD in Neuroscience, Bioengineering, Physics, Mathematics, Computer Science, or a related filed. Please see attached description for more information and how to apply. Any questions should be directed to javier.o.garcia.civ at mail.mil. Thanks! Javier Omar Garcia, PhD Neuroscientist US CCDC Army Research Laboratory, Human Research and Engineering Directorate, Future Soldier Technologies Division, Integrated Capability Enhancement Branch From george at cs.ucy.ac.cy Fri Oct 4 03:39:34 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Fri, 4 Oct 2019 10:39:34 +0300 Subject: Connectionists: 14th International Conference on Research Challenges in Information Science (RCIS 2020): First Call for Tutorials In-Reply-To: <1BE051A2-07D0-4CFE-932E-663E775B4E1B@cs.ucy.ac.cy> References: <44330110-137F-4B56-B4BE-CDD88B280A8F@cs.ucy.ac.cy> <21AAA08E-D19C-418D-821C-FF9EFD1616CE@cs.ucy.ac.cy> <2B91A57C-8095-40B9-954C-8B20428159A9@cs.ucy.ac.cy> <1BE051A2-07D0-4CFE-932E-663E775B4E1B@cs.ucy.ac.cy> Message-ID: *** First Call for Tutorials *** 14th International Conference on Research Challenges in Information Science (RCIS 2020) Royal Apollonia Beach Hotel 5*, Limassol, Cyprus May 20-22, 2020, Limassol, Cyprus http://rcis-conf.com/ Tutorial submission deadline: February 14, 2020 (AoE) RCIS has become a well-recognised conference on research challenges in Information Science. Organised for the fourteenth time in a row, RCIS 2020 will be held from May 20-22, 2020, in Limassol, Cyprus. Tutorials are intended to provide independent instruction (know-how) on a topic of relevance, no commercial or sales-oriented. Potential presenters should keep in mind that there might be a varied audience, including novice graduate students, seasoned practitioners, and specialized researchers. Tutorial speakers should be prepared to cope with this diversity. The conference has specific slots for tutorials. They will be organized in sessions of 90 minutes with a free format. Tutorials run in parallel with other conference tracks, and participation is included in the attendees? conference fee. We invite proposals for tutorials that may address one or more of the listed topics below, although authors should not feel limited by them. TOPICS OF INTEREST RCIS 2020 is focused on Information Science in the Days of Artificial Intelligence. This topic aims to study Artificial Intelligence in a broad sense, including machine learning, self-adaptation, logic-based reasoning, automation, agents and multiagent systems, natural language processing, etc. Beyond the special topic for RCIS 2020, the conference welcomes tutorial submissions from any domain of Information Science. The list of interested topics includes, but is not limited to: Information Systems and their Engineering ? Requirements Engineering ? Software Testing ? Information Security and Risk ? Method Engineering User-Oriented Approaches ? Social Computing and Social Network Analysis ? User-Centred Design ? Collaborative Computing ? Human Factors in Information Systems Data and Information Management ? Databases and Information ? Information Search and Discovery ? Conceptual Modelling and Ontologies Business Process Management ? Business Process Engineering and Reengineering ? Process Mining ? Enterprise Engineering Domain-specific IS Engineering ? E-Health, e-Government, e-Commerce, ? ? Industry 4.0 ? Web-Based Applications and Services ? Smart Cities Data Science ? Big Data & Business Analytics ? Decision Information Systems ? Knowledge Management ? Knowledge Discovery from Data Information Infrastructures ? Cyber-Physical Systems ? Web Information Systems ? Grid Computing and Cloud Computing ? Internet of Things ? Pervasive and Mobile Computing Reflective Research and Practice ? Research Methodologies in Information Science ? Impact of Information on the Enterprise and the Individual ? Lifecycle Models ? Design Science and Rationale INSTRUCTIONS FOR TUTORIAL PROPOSALS Tutorial proposals are limited to 5 pages. They must include: 1. A title; 2. A 150 words abstract. 3. Expected background of the attendees. 4. Learning objectives. 5. Structure of Contents/activities, description of how they support the learning objectives, and how they will be presented to the attendees including a timetable that clearly indicates how the interaction with the audience will develop over time (tutorials should be of 90 minutes). 6. A concise description of material(s) that will be provided to attendees. Special requirement/equipment you may request for the presentation of the tutorial (subject to approval of the organizers). Additional materials relevant to the tutorial that you would like to share prior to the conference. 7. Value of the tutorial for the attendees. 8. A short bio of the presenter(s). 9. A history of the tutorial: has this tutorial (or any derived version of it) already been given? If so, detail where and when, and how it was received. Proven track record has to be balanced with the innovative aspect of the tutorial. In preparing your proposal, you are encouraged to include some creative techniques for teaching and learning. Any teaching approach that ensures active interaction would be greatly appreciated by the RCIS audience. We encourage you to craft a tutorial that can deliver high quality content in an enjoyable way. Please also consider including printed or online take away material for attendees. For example, templates, checklists, frameworks, etc. that attendees can employ in their own settings. We finally encourage authors to optionally include a 1 or 2 minutes video of the speakers, or a few example slides, teasing their tutorial. By submitting a tutorial proposal, authors implicitly agree that they will indeed attend the conference to deliver the tutorial. Proposals must be submitted using the conference submission site (https://easychair.org/conferences/?conf=rcis2020), where you choose ?Tutorial paper?. IMPORTANT DATES ? Tutorial submission deadline: February 14, 2020 (AoE) ? Tutorial notification: March 15, 2020 ? Conference: May 20-22, 2020 CONFERENCE COMMITTEES Steering Committee ? Sa?d Assar, Institut Mines-Telecom Business School, France ? Marko Bajec,University of Ljubljana, Slovenia ? Pericles Loucopoulos, Manchester University, University Kingdom ? Haralambos Moratidis, University of Brighton, United Kingdom ? Selmin Nurcan, Universit? Paris 1 Panth?on-Sorbonne, France ? Oscar Pastor, Universitat Polit?cnica de Val?ncia, Spain ? Jolita Ralyt?, CUI, University of Geneva, Suisse ? Colette Rolland, Universit? Paris 1 Panth?on-Sorbonne, France General Chairs ? George A. Papadopoulos, University of Cyprus, Cyprus ? Pericles Loucopoulos, Harokopio University of Athens, Greece Organising Chair ? Petros Stratis, Easy Conferences LTD., Cyprus Program Chairs ? Jelena Zdravkovic, Stockholm University, Sweden ? Fabiano Dalpiaz, Utrecht University, Netherlands Doctoral Consortium Chairs ? Raian Ali, Bournemouth University, United Kingdom ? Sergio Espa?a, Utrecht University, Netherlands Tutorial Chairs ? Estefania Serral Asensio, KU Leuven, Belgium ? Ignacio Panach, University of Valencia, Spain Posters & Demos Chairs ? Elena Kornyshova, Conservatoire National des Arts et M?tiers, France ? Marcela Ruiz, Zurich University of Applied Sciences, Switzerland -------------- next part -------------- An HTML attachment was scrubbed... URL: From javier.o.garcia.civ at mail.mil Fri Oct 4 12:28:50 2019 From: javier.o.garcia.civ at mail.mil (Garcia, Javier O CIV USARMY FUTURES COMMAND (USA)) Date: Fri, 4 Oct 2019 16:28:50 +0000 Subject: Connectionists: US CCDC ARL Postdoc Message-ID: <6CACDB5D09BC0C488E11AB3665397C101D89D0CC@ugunhu4m.easf.csd.disa.mil> I noticed that the ad I posted did not link to the full description. I have included both the short and long forms here. Short Version: We are seeking a motivated postdoctoral candidate to work on an interdisciplinary project to study the neuroscientific and general physiological aspects of group processes as part of the Human Research and Engineering Directorate of the US CCDC Army Research Laboratory. Location of the position is flexible (San Francisco, CA preferred), and the candidate will have the opportunity to travel between sites for this multi-university initiative. Applicants are expected to have a strong analytical background and excellent problem solving skills with a PhD in Neuroscience, Bioengineering, Physics, Mathematics, Computer Science, or a related filed. Please see the full ad below, and email any questions to javier.o.garcia.civ at mail.mil. _________________________________________________________________________ Postdoctoral Opportunity We are seeking a motivated postdoctoral candidate to work on an interdisciplinary project to study the neuroscientific and physiological aspects of dynamic processes underlying human-human interactions. This project is shared between the Human Research and Engineering Directorate of the US CCDC Army Research Laboratory (PIs: Javier Omar Garcia, PhD and Kanika Bansal, PhD) and several universities. This opportunity supports one of the primary objectives of the Army Research Laboratory's Human Sciences in advancing our understanding of human behavior and predicting performance. Location of the position is flexible (San Francisco, CA preferred), and the candidate will have the opportunity for training at the different sites of this collaborative multi-university initiative. Travel sites include but are not limited to Chicago (Northwestern University), Boston (Northeastern University), New York City (Columbia University), and Aberdeen Proving Ground, MD (ARL). Initial appointment will be extendable for up to three years. A successful candidate will receive stipend, travel funds, and benefits. Project description: An overarching goal of the Human Sciences at the US CCDC Army Research Laboratory is to expand our understanding of individual and team behavior, providing the foundational research for individualized teaming technologies within heterogeneous human-agent teams. An important feature of individualized team technologies is the ability to predict future behavior quickly and accurately in dynamic environments for individuals working together for a common goal. Critical to achieving these goals is the capability to predict the impact of within-individual and between-individuals dynamics on the team performance and/or interventions to achieve optimal behavior. We use a variety of physiological (neuronal and non-neuronal) sensors, surveys, and other metrics to infer individual and teaming "states" that may be related to perception, attention, decision-making, or communication at individual, group, and cultural scales. We aim to build advanced data-analysis techniques, technologies, and methodologies to robustly capture individual and team behavior in non-laboratory environments. In this effort, we leverage a wide variety of analytical tools and approaches from fields including but not limited to network science, dynamical systems, machine learning, statistical physics, systems engineering, and neuroeconomics. As part of this project, we are recruiting from a broad range of disciplines. Some recent example publications of previously used techniques are: Bansal, Kanika, et al. "Cognitive chimera states in human brain networks." Science Advances (2019), 5(4), eaau8535. Garcia, Javier O., et al. "Applications of community detection techniques to brain graphs: Algorithmic considerations and implications for neural function." Proceedings of the IEEE (2018), 106 (5), 846-867. Responsibilities: Develop and/or implement human team experiments on research aims. Carry out analysis on complex multi-modal data. Present research results at meetings and engage in publishing results. As part of the role, applicants will have the opportunity to travel for experimentation and development and must have a desire to work with a geographically distributed, energetic, and interdisciplinary team. Qualifications: * A strong analytical background and excellent problem-solving skills with a PhD in Neuroscience, Bioengineering, Physics, Mathematics, Computer Science, or a related field. * Proficiency in at least one common programming language (such as Matlab, Python) is a must. * Previous experience with EEG (or complex signals) data acquisition is preferred but not required. * Experience with signal processing and/or data integration is a plus. * Ideal candidates will have an excellent record of scientific publication with a demonstrated ability to work in interdisciplinary collaborative environment, and strong communication and writing skills. Applicants should send their CV to javier.o.garcia.civ at mail.mil and/or kanika.bansal at columbia.edu From jonghyun.harry.lee at hawaii.edu Fri Oct 4 21:19:32 2019 From: jonghyun.harry.lee at hawaii.edu (Jonghyun Harry Lee) Date: Fri, 4 Oct 2019 15:19:32 -1000 Subject: Connectionists: Call for Papers: AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physics Sciences (MLPS) Message-ID: *AAAI Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physics Sciences (MLPS)* March 23-25, 2020 @Stanford University, Palo Alto, California, USA https://sites.google.com/view/aaai-mlps Key Dates: November 15th, 2019, 23:59 GMT Notification: December 14th, 2019 Symposium: March 23-25, 2020 With recent advances in scientific data acquisition and high-performance computing, Artificial Intelligence (AI) and Machine Learning (ML) have received significant attention from the applied mathematics and physics science community. From successes reported by industry, academia, and the research community at large, we observe that AI and ML hold great potential for leveraging scientific domain knowledge to support new scientific discoveries and enhance the development of physical models for complex natural and engineered systems. For example, deep learning can support discovery of new materials and high-energy physics from numerous computer simulations and experiments to allow us to learn low-dimensional manifolds underlying the acquired data in order to represent the system of interest parsimoniously and effectively. ML has offered new insights on adaptive numerical discretization schemes and numerical solvers, which are clearly distinct from traditional mathematical theories. AI also provides a new way of generalizing constitutive physics laws based on big scientific data sets. Despite this progress, there are still many open questions. Our current understanding is limited regarding how and why AI/ML work and why they can be predictive. AI has been shown to outperform traditional methods in many cases, especially with high-dimensional, inhomogeneous data sets. However, a rigorous understanding of when AI/ML is the right approach is largely lacking. That is, for what class of problems, underlying assumptions, available data sets, and constraints are these new methods best suited? The lack of interpretability in AI-based modeling and related scientific theories makes them insufficient for high-impact, safety-critical applications such as medical diagnoses, national security, and environmental contamination and remediation. With transparency and a clear understanding of the data-driven mechanisms, the desirable properties of AI should be best utilized to extend current methods in modeling for physics and engineering problems. At the same time, handling expensive training costs and large memory requirements for ever-increasing scientific data sets is becoming more and more important to guarantee scalable science machine learning. This symposium will aim to present the current state of the art and identify opportunities and gaps in AI/ML-based physics modeling and analysis. The symposium will focus on challenges and opportunities for increasing the scale, rigor, robustness, and reliability of physics-informed AI necessary for routine use in science and engineering applications and discuss bridging AI and engineering research to significantly advance diverse scientific areas and transform the way science is done. Topics: Authors are strongly encouraged to present papers that combine and blend physical knowledge and artificial intelligence/machine learning algorithms. Topics of interest include but are not limited to the following: 1. Artificial intelligence/machine learning framework that can seamlessly synthesize models, governing equations and data 2. Algorithms for scalable physics-informed learning 3. Stability and error analysis for physics-informed learning 4. Software development facilitating the inclusion of physics domain knowledge in learning 5. Applications incorporating domain knowledge into machine learning Submission guideline: We solicit extended abstracts, full papers, and poster abstracts on topics related to the above and can include recent or ongoing research, surveys, and business/use cases. Extended abstracts (2 to 4 pages) and full papers (up to 6 pages) will be peer-reviewed. Posters can be proposed by submitting an abstract (1 to 2 pages). All submissions should follow the AAAI format in the Author Kit, will be handled through EasyChair (https://easychair.org/conferences/?conf=sss20) and the review will be double-blind to ensure academic integrity. Accepted extended abstracts and full papers shall be published in an open access proceedings site. More details can be found in https://easychair.org/cfp/AAAI_MLPS_2020 Organizing Committee: Jonghyun Harry Lee, University of Hawai'i at Manoa, Honolulu, USA Eric F. Darve, Stanford University, Stanford, USA Peter K. Kitanidis, Stanford University, Stanford, USA Matthew Farthing, U.S. Army Engineer Research and Development Center Tyler Hesser, U.S. Army Engineer Research and Development Center Invited Speakers: George Karnidakis, Brown University Marco Pavone, Stanford University Lexing Ying, Stanford University Paris Perdikaris, University of Pennsylvania -------------- next part -------------- An HTML attachment was scrubbed... URL: From dlinnlp at gmail.com Sun Oct 6 15:15:41 2019 From: dlinnlp at gmail.com (Slavi Slavov) Date: Sun, 6 Oct 2019 22:15:41 +0300 Subject: Connectionists: First announcement: NETTT'2020 - New Trends in Translation and Technology Message-ID: **apologies for cross-posting** *International Conference ?New Trends in Translation and Technology? (NeTTT?2020)* *Rhodes Island, Greece, 28-30 September 2020* *First announcement* The forthcoming International Conference ?New Trends in Translation and Technology? (NeTTT?2020) will take place on the island of Rhodes, Greece, 28-30 September 2020. The objective of the conference is to bring together academics in linguistics, translation studies, machine translation and natural language processing, as well as developers, practitioners, language service providers and vendors who work on or are interested in different aspects of technology for translation. The conference will be a distinctive and interdisciplinary event for discussing the latest developments and practices in translation technology. NeTTT?2020 invites all professionals who would like to learn about recent trends, present their latest work, and/or share their experiences in the field. The conference will also be an ideal place to establish business and research contacts, collaborations and new ventures. The conference will take the form of presentations (peer-reviewed research and user presentations, keynote speeches), demos (demos from sponsors) and posters; it will also feature panel discussions and tutorials/workshops. The presentations will be published as open-access conference e-proceedings. NeTTT?2020 will be preceded by a two-day summer school on Neural Machine Translation. *Conference topics* Contributions are invited on any topic related to the latest technology used in machine translation, translation, subtitling, localisation and interpreting. These include but are not limited to: ? - Machine Translation (MT) ? any MT-related research activity, from development to human factors ? - CAT tools (Translation Memory (TM) systems, integration of Machine Translation in TM systems) ? - Quality assessment and quality control ? - Speech Technology ? - Terminology management ? - Crowdsourcing ? - Social media ? - Translation Workflow and Management ? - Localisation ? - Technology adoption by translators and industry ? - Training (to include university programmes on translation and interpreting and training in the dynamically changing industry) ? - New and emerging language and mobile technologies, tools and resources which can support the work of translators, localisers, subtitlers and interpreters ? - Ethical issues in translation and technology *Programme Committee* The Programme Committee will be announced in the first Call for Papers which can be expected in November 2019. *Schedule* *Submission deadline:* 30 April 2020 (The follow-up calls will provide information as to how submission can be made.) *Notification of acceptance:* 30 May 2020 *Camera-ready versions due:* 25 August 2020 *Summer School on Neural Machine Translation:* 26-27 September 2020 *NeTTT?2020 conference:* 28-30 September 2020 *Organisation* NeTTT?2000 is organised by the Dimetra Academy for Translators, Greece; Department of Foreign Languages, Translation and Interpreting and Department of Informatics, Ionian University, Greece; Adapt Centre, Dublin City University, Ireland; Research Group in Computational Linguistics, University of Wolverhampton, UK and the Association of Computational Linguistics, Bulgaria. *Conference Chairs* Sheila Castilho (Dublin City University), Vilelmini Sosoni (Ionian University), Maria Sgourou (Dimetra Academy for Translators, Greece) and Ruslan Mitkov (University of Wolverhampton) are the NeTTT?2020 Chairs. *Further information and contact details* The first call for papers is expected at the end of November 2019 and registration will be open as of April 2019. For further information, please contact us at *nettt2020[@]nettt-conference.com * -------------- next part -------------- An HTML attachment was scrubbed... URL: From mdhamala at mail.phy-astr.gsu.edu Mon Oct 7 08:22:49 2019 From: mdhamala at mail.phy-astr.gsu.edu (mdhamala) Date: Mon, 07 Oct 2019 08:22:49 -0400 Subject: Connectionists: BrainModes 2019 Conference in Pokhara, Nepal Message-ID: ------------------------------------------------------------------------------------ BrainModes 2019 Conference ------------------------------------------------------------------------------------ BrainModes 2019 (http://www.physics.gsu.edu/dhamala/brainmodes2019.html) Deadlines: October 30 (Registration), October 15 (Poster Abstract Submission) Schedule: -December 12 ? 13: Main Meeting ((Oral and Poster Sessions) -December 11, 2019: Pre-Conference Educational Course Structural and Functional Neuroimaging Overview (Instructor: Michael Breakspear) Virtual Brain Theory (Instructor: Viktor Jirsa) Virtual Brain Applications (Instructor: Petra Ritter and Randy McIntosh) Neural Field Theory and Applications (Instructor: Peter Robinson) Granger Causality Theory and Applications (Instructor: Mukesh Dhamala) Information-Theoretic Measures and Applications (Instructor: Daniele Marinazzo) Dynamical Causal Modeling Theory and Applications (Instructor: Karl Friston) Brief Info: BrainModes (http://brainmodes.org/) is an annual meeting that brings together international experts from various disciplines and seeks to explore innovative means of understanding complex brain activity and multimodal neuroscience data sets. This year's meeting will focus on exploring "Unified Principles of Brain Connectivity and Dynamics". It will be held in Pokhara (https://en.wikipedia.org/wiki/Pokhara), Nepal. The main conference will be on December 12 - 13. The pre-conference course, intended to provide participants with the foundations of neuroimaging and computational neuroscience, will be offered on December 11. For both of these events, the total number of participants will be limited to 100. The main hotel for accommodation and conference venue will be hotel Barahi, Pokhara. Makalu Travels is the official travel agency for BrainModes 2019. Hotel Barahi for Pokhara, Hotels for Kathmandu and Kathmandu-Pokhara flights can be booked online: https://brainmodes.makalutravels.com/. For other individual accomodation (hotel in Kathmandu) and travel requirements, please contact Makalu Travels at email: brainmodes at makalutravels.com, phone: 1(702) 331-8700 or +1(619) 924-0575. Makalu Travels' rate-negotiated hotels in Kathmandu include: Manaslu, Le Himalaya, Radisson, Tibet International, Hyatt Regency. For details and registration, please visit the conference website: http://www.physics.gsu.edu/dhamala/brainmodes2019.html. The registration deadline is October 30. Organizers: Mukesh Dhamala, Georgia State University, Atlanta, USA Daniele Marinazzo, Ghent University, Ghent, Belgium Petra Ritter, Charit? University, Berlin, Germany From jkrichma at uci.edu Mon Oct 7 17:55:07 2019 From: jkrichma at uci.edu (Jeff Krichmar) Date: Mon, 7 Oct 2019 14:55:07 -0700 Subject: Connectionists: Navigation and Adaptive Behavior Benchmarks for Robots Message-ID: Dear Connectionists, These days it seems to be important to test new ideas against existing benchmarks. In the area of robot navigation, I am struggling to think of benchmarks that go beyond the typical SLAM benchmarks for accuracy. I am particularly interested in situations where the robot needs to adapt its navigation strategies based on perturbations or other stimuli. Does anyone have suggestions for benchmarks along these lines? Thank you, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma From muftimahmud at gmail.com Mon Oct 7 20:01:13 2019 From: muftimahmud at gmail.com (Mufti Mahmud) Date: Tue, 8 Oct 2019 01:01:13 +0100 Subject: Connectionists: [Special Issue CfP]: Machine Learning Techniques for Neuroscience Big Data Message-ID: Apologies for cross-posting. CALL FOR PAPERS Brain Informatics (*https://braininformatics.springeropen.com *) Special Issue on *Machine Learning Techniques for Neuroscience Big Data* Guest Editors ? Mufti Mahmud, Nottingham Trent University, UK, Mufti.Mahmud at ntu.ac.uk ? M Shamim Kaiser, Jahangirnagar University, Bangladesh, mskaiser at juniv.edu ? Ganesh K Naik, Western Sydney University, Australia, Ganesh.Naik at westernsydney.edu.au Developing data-intensive tools to process and analyse the neuronal big data is one of the biggest challenges posed to today?s multidisciplinary brain science community. To share recent progress in decoding neuronal information processing, both in healthy and diseased brain, this special issue aims to provide a forum for scientists from diverse disciplines including ? computer, electrical, biomedical, and neuro-engineering ? who are looking for more relevant information in interpreting brain functions and diagnosing diseases using Machine Learning based techniques. This Special Issue will focus on the latest machine learning techniques and methods of analysing Neuroscience Big Data. Researchers and practitioners working in related areas are invited to submit research papers for possible publication in this issue. The topics may include but are not limited to the following list: ? Processing and modelling of neuronal data for disease diagnosis and brain decoding; ? Bio-inspired methods for network analysis and pattern recognition in neural data; ? Novel machine learning techniques for neuronal big data analysis; ? Application of deep and/or reinforcement learning to neuronal big data analysis; ? Computationally intelligent techniques for neuroscience applications; ? Machine learning inspired Neuroinformatics (including cloud computing and real-time systems). Important Dates --------------------- ? Paper submission deadline: December 31, 2019 ? First-round notification: January 31, 2019 ? Final decision notification: March 31, 2020 Submission Instructions For submission instructions please visit the journal website at *https://braininformatics.springeropen.com/submission-guidelines * or contact *Dr. Mufti Mahmud at Mufti.Mahmud at ntu.ac.uk * The complete manuscript should be submitted through online submission system at: *https://www.editorialmanager.com/brai/default.aspx * Best regards, Mufti Mahmud, PhD | Senior Member - IEEE & ACM (Senior) Lecturer of Computing & Technology | Nottingham Trent University Associate Editor, IEEE Access & Brain Informatics Editorial Board Member, Cognitive Computation & Big Data Analytics Programme Co-chair, IEEE CICARE2019, Xiamen, China Workshop Co-chair, Brain Informatics 2019, Hainan, China Coordinator of Local Organizing Committee, IEEE WCCI2020, Glasgow, UK Office: ERD200 | Clifton Campus | Clifton Lane | NG11 8NS ? Nottingham | United Kingdom Phone: +44 (0)115 84 83202 | Email: mufti.mahmud at ntu.ac.uk http://orcid.org/0000-0002-2037-8348 https://scholar.google.com/citations?user=L8em2YoAAAAJ&hl=en https://sites.google.com/site/muftimahmud/ https://www.ntu.ac.uk/staff-profiles/science-technology/mufti-mahmud -------------- next part -------------- An HTML attachment was scrubbed... URL: From O.Inel at tudelft.nl Tue Oct 8 02:26:20 2019 From: O.Inel at tudelft.nl (Oana Inel) Date: Tue, 8 Oct 2019 06:26:20 +0000 Subject: Connectionists: ACM IUI 2020: Call for Demos and Posters Message-ID: <0C0AA9AB-B48F-4605-9DCA-5FBB1DBF961E@tudelft.nl> * We apologize for cross-posting * *** ACM IUI 2020: Call for Demos and Posters *** Cagliari, Italy March 17-20, 2020 https://iui.acm.org/2020/call_for_demo_poster.html Important Dates: - Submission Due: Jan 3, 2020 - Notification to Authors: Jan 27, 2020 - Camera Ready Due: Feb 3, 2020 ---------------------------------------------------- ACM IUI 2020 is the 25th annual meeting of the intelligent interfaces community and serves as a premier international forum for reporting outstanding research and development on intelligent user interfaces. ACM IUI is where the Human-Computer Interaction (HCI) community meets the Artificial Intelligence (AI) community, with contributions from related fields such as psychology, behavioral science, cognitive science, computer graphics, design, the arts, and more. Our focus is to improve the interaction between humans and machines, by leveraging both HCI approaches and state-of-the art AI techniques from machine learning, natural language processing, data mining, knowledge representation and reasoning. ACM IUI welcomes contribution from all relevant arenas, academia, industry, government, and non-profit organizations, and gives its participants the opportunity to present and see cutting-edge IUI work in a focused and interactive setting. ---------------------------------------------------- Demos The demonstrations track complements the overall program of the conference. Demonstrations show implementations of novel, interesting, and important intelligent user interface concepts or systems. We invite submissions relevant to intelligent user interfaces and which address, but are not limited to, the topics of the conference. All submissions are intended to convey a scientific result or work in progress and should not be advertisements for commercial software packages. The page limit for demo papers is 2 pages (including references). Although not required, authors may submit a video along with their demo paper to showcase their work. Authors who submitted a long or short research paper are welcome to also propose a demo. Accepted demo papers will be presented as interactive demonstrations at IUI and published in the companion proceedings of the conference. Posters Posters provide an opportunity for sharing valuable last-minute ideas, eliciting useful feedback on early-stage work and fostering discussions and collaborations among colleagues. We invite submissions on all topics of the conference. All submissions should convey a scientific result or work in progress that is not yet ready to be published as a full length research paper at a refereed conference. Submitting a draft poster along with your submission is not required but recommended. The page limit for poster papers is 2 pages (including references). Accepted poster papers will appear in the companion proceedings of the conference. Demo and Poster Chairs - posters2020 at iui.acm.org Tianyi Li, Virginia Tech, USA Marco Manca, CNR-ISTI, HIIS Laboratory, Italy Sebastien Lalle, University of British Columbia, Canada -------------- next part -------------- An HTML attachment was scrubbed... URL: From zk240 at cam.ac.uk Tue Oct 8 02:12:26 2019 From: zk240 at cam.ac.uk (Zoe Kourtzi) Date: Tue, 8 Oct 2019 07:12:26 +0100 Subject: Connectionists: Post-doctoral positions in Ultra High-Field Neuroimaging, Univ of Cambridge, UK Message-ID: <9A877419-E4A1-4BFC-9EC0-0A338EBA049D@cam.ac.uk> 2 Post-doctoral positions are available at the Adaptive Brain Lab, University of Cambridge, UK (http://www.abg.psychol.cam.ac.uk ). The first position on Ultra High-Field Neuroimaging aims to develop novel methods for 7T brain imaging (e.g. layer-resolved functional imaging, neurotransmitter spectroscopy) in collaboration with the? 7T MRI Physics team at the Wolfson Brain Imaging Centre (WBIC). The second position on computational cognitive neuroscience aims to investigate mechanisms of human learning and brain plasticity, combining multimodal brain imaging, cognitive genetics, and computational approaches (e.g. Bayesian modelling, machine learning) For more details and to apply online please check: http://www.jobs.cam.ac.uk/job/23421/ http://www.jobs.cam.ac.uk/job/23443/ Please direct Informal enquiries including CV and brief statement of research interests to Prof. Zoe Kourtzi (zk240 at cam.ac.uk ) Zoe Kourtzi, PhD Professor of Experimental Psychology Department of Psychology University of Cambridge Downing Street Cambridge CB2 3EB emal: zk240 at cam.ac.uk tel: 0044 1223 766558 http://www.abg.psychol.cam.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From cfgranda at gmail.com Tue Oct 8 22:00:48 2019 From: cfgranda at gmail.com (Carlos Fernandez-Granda) Date: Tue, 8 Oct 2019 22:00:48 -0400 Subject: Connectionists: Postdoctoral position at NYU Message-ID: A postdoctoral position is available in the laboratory of Carlos Fernandez-Granda at the Courant Institute and Center for Data Science at NYU. The focus of the position is the design of machine-learning methodology for the analysis of dynamic systems, with potential applications to computer vision, material science and molecular biology. *Qualifications* Candidates should possess a Ph.D. in Computer Science, Electrical Engineering, Data Science, or related disciplines. In addition, they should have a strong background in machine learning, experience with deep learning, and solid programming skills. They must have the ability to work independently and with an interdisciplinary team. *Application Instructions* The position is available immediately, and is renewable for up to two years. Interested candidates should submit (1) a CV, (2) a brief cover letter explaining their research experience, how their interests would fit the goals of the project, career plans, and available start date, and (3) the names and contact information of three references familiar with the applicant?s research and academic work. Link: https://apply.interfolio.com/69741 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Wed Oct 9 06:42:13 2019 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Wed, 9 Oct 2019 12:42:13 +0200 Subject: Connectionists: [CfP] ECML PKDD 2020 Journal Track Message-ID: An HTML attachment was scrubbed... URL: From n.strisciuglio at rug.nl Wed Oct 9 09:08:56 2019 From: n.strisciuglio at rug.nl (Nicola Strisciuglio) Date: Wed, 9 Oct 2019 15:08:56 +0200 Subject: Connectionists: [CFP] Deadline Extended - APPIS 2020 in Las Palmas de Gran Canaria, Spain, 7-12 January 2020 Message-ID: /Apologies for multiple copies./ * Submission deadline extended to October 25th* The 3rd International Conference on Applications of Intelligent Systems, *APPIS 2020* will be held on *7-12 January 2020* in *Las Palmas de Gran Canaria*, Spain. APPIS 2020 is organized by the University of Groningen and the University of Las Palmas de Gran Canaria, and includes a *Winter School on Machine Learning (WISMAL 2020)*. APPIS 2020 welcomes (but is not limited to) contributions related to the following topics: ??? Images, videos and time-series analysis ??? Machine learning and representation learning ??? Statistical and structural pattern recognition ??? Data visualization and dimensionality reduction ??? Robotics ??? Intelligent systems in health and medicine ??? Cyber computing and security ??? Bio-informatics ??? Data mining ??? Cognitive discovery ??? Algorithms for embedded and real-time systems ??? Semantic technologies ??? Intelligent buildings ??? Intelligent sensors and sensor networks ??? Augmented reality ??? Adaptive systems ??? Fuzzy systems ??? Human-machine interaction ??? Natural language processing ??? Situation awareness systems ??? Recommender systems ============================================================= Conference proceedings will be published by *ACM International Conference Proceedings Series.* The registration fee includes paper publication in the proceedings, conference materials, tutorials, conference dinner, welcome reception, another social event (a guided tour of old town Las Palmas or a visit to the only coffee plantage in the EU) and daily coffee breaks. The prices are: ??? Early registration: *250 Euro* ??? Late registration: *325 Euro* The costs for each additional paper are *100 Euro. *=============================================================| *Winter School on Machine Learning - WISMAL 2020* APPIS includes a short winter school consists of several tutorials that present different techniques of Machine Learning. Please find more information at the WISMAL 2020 page . The participation in the winter school is free of charge for registered participants in APPIS 2020. The number of participants in the winter school is limited to 100 and early registration is encouraged. ============================================================= Paper submission ? *Oct 25, 2019* Paper acceptance notification ? *Nov 29, 2019* Early registration ? *Dec 13, 2020* Camera ready ? *Dec 13, 2019 *Full paper due (abstract extension) - *Dec 20, 2019** * Conference ? *7-9 Jan 2020* Winter school on Machine learning ? *10-12 Jan 2020 *Please find more information on the conference website .* *the conference co-chairs /Nicolai Petkov// //Nicola Strisciuglio// //Carlos Travieso-Gonzalez// / -------------- next part -------------- An HTML attachment was scrubbed... URL: From caspar.schwiedrzik at googlemail.com Thu Oct 10 02:44:55 2019 From: caspar.schwiedrzik at googlemail.com (Caspar M. Schwiedrzik) Date: Thu, 10 Oct 2019 08:44:55 +0200 Subject: Connectionists: ERC-funded postdoc in NHP neurophysiology and imaging available at German Primate Center Message-ID: The German Primate Center (DPZ) - Leibniz Institute for Primate Research is one of 95 research and infrastructure establishments of the Leibniz Association. It conducts basic biological and biomedical research in all fields in which non-human primates play essential roles: in particular in infection research, the neurosciences and organismic primate biology. Besides its research infrastructure in G?ttingen the DPZ maintains four field stations to do research on and with primates. www.dpz.eu/en/about-us/profile/mission.html The Perception and Plasticity Group is looking for an excellent *Postdoctoral research associate* The Perception and Plasticity Group of Caspar Schwiedrzik at the DPZ is looking for an outstanding postdoc interested in studying the neural basis of perceptual learning in vision. The project investigates neural mechanisms of learning and perception at the level of circuits and single cells, utilizing functional magnetic resonance imaging (fMRI) in combination with electrophysiology and behavioral testing in humans and non- human primates. It is funded by an ERC Starting Grant (Acronym VarPL; ?Specificity or generalization? Neural mechanisms for perceptual learning with variability?). The postdoc?s project will focus on investigating the neural basis of visual perceptual learning in macaque monkeys combining fMRI, multi-electrode electrophysiological recordings and electrical microstimulation. In addition, the postdoc will have the opportunity to cooperate with other lab members on parallel, comparative research exploring the same questions in humans. We seek to understand the cortical basis and computational principles of perception and experience- dependent plasticity in the macaque and human brain. To this end, we use a multimodal approach including fMRI-guided electrophysiological recordings in non-human primates and fMRI and ECoG in humans. The postdoc will play a key role in our research efforts in this area. The lab is located at the DPZ (*http://www.dpz.eu *) and the European Neuroscience Institute G?ttingen (*http://www.eni-g.de *), which are interdisciplinary research centers with international faculty and students pursuing cutting-edge research in neuroscience. Further scientific exchange within the Leibniz ScienceCampus Primate Cognition (*https://www.primate-cognition.eu *) ensures a broad interdisciplinary framework for networking and cooperation. The postdoc will have access to a new imaging center with a dedicated 3T research scanner, state-of-the-art electrophysiology, and behavioral setups. For an overview of our work and representative publications, please see our website http://www.eni-g.de/groups/neural-circuits- *and-cognition*. For our most recent work, see *https://* www.biorxiv.org/content/10.1101/770982v1. The position is available immediately with an initial appointment for 2 years. Extensions beyond 2 years and part- time employment is possible. Candidates should have a PhD degree (or equivalent) in a relevant field (e.g., neuroscience, psychology, biology), and prior experience, evidenced by a publication or preprint, in electrophysiology in non-human primates, strong quantitative, programming, and experimental skills, and share a passion for understanding the neural basis of visual perception and its plasticity. Prior experience with microstimulation is a plus. A good command of English is a requirement, but fluency in German is not essential. We especially encourage women to apply. Interested candidates should send in their curriculum vitae, a description of their scientific interest, a representative publication, a copy of their PhD degree, and the names and contact information of up to three references who are able to comment on your academic background and who have agreed to be contacted. The appointment at the DPZ follows the applied regulations of civil service. The classification follows the TV-L. Disabled applicants with equal qualification will be given preferential consideration. We kindly ask you to indicate in your application if you are disabled. Please send in your written application including all certificates until the 15 of November, 2019 under key word ?Postdoc Perception and Plasticity? to Deutsches Primatenzentrum GmbH ? Leibniz Institut f?r Primatenforschung ? Personnel Office ? Kellnerweg 4 ? 37077 G?ttingen or via mail to bewerbung at dpz.eu. For further information please contact Dr. Schwiedrzik, cschwiedrzik at dpz.eu, phone: +49 (0)551-39- 61371 or see http://www.dpz.eu. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 2019-10-09 PostdocPPG Englisch.pdf Type: application/pdf Size: 295566 bytes Desc: not available URL: From A.Visser at uva.nl Thu Oct 10 06:07:26 2019 From: A.Visser at uva.nl (Visser, Arnoud) Date: Thu, 10 Oct 2019 10:07:26 +0000 Subject: Connectionists: Three Junior Lecturer Positions in Artificial Intelligence in Amsterdam Message-ID: <33da556ea77743cbac4c338c4598243a@uva.nl> Do you want to contribute to the education of Artificial Intelligence students (both Bachelor and Master level) in Amsterdam? We are three Junior Lecturer positions available. We are looking for candidates with a PhD or Master in Artificial Intelligence. We cannot expect competence on all components of the bachelor or master, but we like to have candidates at ease with at least of two of the following topics: * programming (Python) * logic * natural language processing * mathematics * computer vision * machine learning For more details (in Dutch): https://www.academictransfer.com/nl/286331/drie-docenten-bsc-kunstmatige-intelligentie-enof-master-artificial-intelligence/ Arnoud Visser https://staff.fnwi.uva.nl/a.visser/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From laurenz.wiskott at rub.de Thu Oct 10 10:26:49 2019 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Thu, 10 Oct 2019 08:26:49 -0600 Subject: Connectionists: PhD position in computational neuroscience with Prof. Laurenz Wiskott in Bochum, Germany Message-ID: <20191010142649.GA15509@curry> Please forward this job advertisement to candidates who might be interested. Thanks, Laurenz Wiskott. ___________________________________________________________________________ Open position for a PhD student with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany ___________________________________________________________________________ University: The Ruhr-Universit?t Bochum is one of the leading research universities. The university draws its strengths from both the diversity and the proximity of scientific and engineering disciplines on a single, coherent campus. This highly dynamic setting enables students and researchers to work across traditional boundaries of academic subjects and faculties. Institute: Institute for Neural Computation Ruhr-University Bochum Universitaetsstr. 150 D-44801 Bochum, Germany, EU The Institute for Neural Computation is a central research institute at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. Research group: Prof. Dr. Laurenz Wiskott, see https://www.ini.rub.de/research/groups/theory_of_neural_systems/ Research topics: We are looking for an outstanding candidate who will be working on a system-level model of spatial navigation with the hippocampus as one of its central areas. We use methods from neural networks and machine learning. It is also planned to simulate experiments done with rat and/or mice by our experimental partners. The position is part of a joint team with Prof. Sen Cheng working on developing a system-level model of hippocampal function for memory and navigation. This is being done in close interaction with a team working on similar questions from the machine learning perspective. Teaching: There is a teaching load of 3 hours per week during the semester, in particular for a programming course in python. Time: The appointment will be for three years and can then be extended for one more year if needed. Anticipated starting date is Feb 1st. Requirements: Candidates should have an education (equivalent to a MSc) in computer science, physics, mathematics, electrical engineering or any related field. Required are strong mathematical and programming skills (ideally in python) as well as the ability to communicate and work well in a team. Salary: Salary is 75% of salary scale TV-L E13. Inquiries: Informal inquiries can be addressed to Prof. Laurenz Wiskott . Application: Applications (CV, transcript of records for MSc and BSc, statement of purpose) should be sent as a single pdf file to Prof. Laurenz Wiskott . Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged. From martinvinck at gmail.com Sat Oct 12 10:33:17 2019 From: martinvinck at gmail.com (Martin Vinck) Date: Sat, 12 Oct 2019 16:33:17 +0200 Subject: Connectionists: PhD and Postdoc positions in Frankfurt, Germany Message-ID: Apologies for cross-posting: The laboratory of Dr. Martin Vinck at the Ernst Struengmann Institute for Neuroscience in Cooperation with Max Planck Society is seeking multiple Postdocs and PhDs for experimental projects in marmoset (ideally starting early spring of 2019). We will study predictive processing in the visual system, test new models of object recognition, and the contribution of different cell types to neural coding. Data will be collected with chronic, high-density silicon probes including wireless recordings during (freely moving) natural behavior (using the eCube white matter system). A part of the project involves optogenetics. Additional training in high-density electrophysiology can be acquired by participation in projects in mice. You will work closely together with computational scientists in our laboratory working on deep learning and state space analyses. The main focus of the project is the interpretation of neural activity from artificial neural networks (in particular recurrent and predictive neural networks) and the study of population coding. We are looking for candidates with a biology or medicine background and experience in behavioral training and electrophysiology. Frankfurt is an internationally oriented city with many neuroscience institutes in the neighbourhood, e.g. the Max Planck Institute for Brain Research , the FIAS , the Interdisciplinary Center for Neuroscience , and the institute for Empirical Aesthetics. Interested candidates are invited to send their application materials in electronic form (PDF format) to martin.vinck at esi-frankfurt.de. The first deadline for applications is 7 of November 2019. Applications should contain a letter of intent, a detailed curriculum vitae, lists of university courses completed with marks obtained, and the names of at least two scientists who can give references (or at least two reference letters). The advertisement will be valid until positions are filled. Positions are not yet filled. -------------- next part -------------- An HTML attachment was scrubbed... URL: From thang.buivn at gmail.com Fri Oct 11 02:51:55 2019 From: thang.buivn at gmail.com (Thang Bui) Date: Fri, 11 Oct 2019 17:51:55 +1100 Subject: Connectionists: Registration is open and 2nd CFP: 2nd Symposium on Advances in Approximate Bayesian Inference (AABI 2019) In-Reply-To: References: Message-ID: Dear all, We have extended the submission deadline to Oct 15 11:59 PM GMT. Best, Thang On Sat, Sep 28, 2019 at 09:34 Thang Bui wrote: > We invite researchers in machine learning and statistics to participate in > the: > > *2nd Symposium on Advances in Approximate Bayesian Inference * > Sunday December 8, 2019, > Pan Pacific Hotel > 300 - 999 Canada Pl > Vancouver, BC V6C 3B5, Canada > www.approximateinference.org > > Submission deadline: *11 October, 2019* > > *1. Registration * > > Registration is now open: > > https://www.eventbrite.ca/e/2nd-symposium-on-advances-in-approximate-bayesian-inference-aabi-2019-tickets-73461460205 > > Registration is free but will be limited. More slots may become available > as we free up the reserved slots for authors of the accepted papers. If you > are unable to register, feel free to sign up on the waiting list. We will > contact you if more slots become available. > > *2. Call for Participation* > > We invite researchers to submit their recent work on the development, > analysis, or application of approximate Bayesian inference. A submission > should take the form of an extended abstract of 2-4 pages in PDF format > using the PMLR one-column style [ > http://approximateinference.org/pmlr/aabi_template.zip ]. For questions > and troubleshooting, visit CTAN [ > https://ctan.org/tex-archive/macros/latex/contrib/jmlr ]. The review > process will be double-blind. Author names need to be anonymized and > references may extend as far as needed beyond the 4-page upper limit. If > authors' research has previously appeared in a journal, workshop, or > conference (including the NeurIPS 2019 conference), their symposium > submission should extend that previous work. Submissions may include a > supplement/appendix, but reviewers are not responsible for reading any > supplementary material. > > All submissions will be reviewed by at least three reviewers from the > field. Accepted submissions will be accepted to presentation only. The > authors of selected submissions will be invited to publish their paper in a > PMLR volume. We aim to keep a general inclusive nature of the symposium for > presentations. However, we will only invite the top-rated accepted papers > to be published through PMLR. > > Papers should be submitted by 11 October through OpenReview at 23:59 GMT [ > https://openreview.net/group?id=approximateinference.org/AABI/2019 > /Symposium ]. Final versions of the symposium submissions are due by 5 > December, and will be posted on the symposium website. > > If you have any questions, please contact us at > aabisymposium2019 at gmail.com. > > > *3. Key Dates* > > Paper submission: 11 October 2019 (23:59 GMT) > Acceptance notification: 8 November 2019 > Final paper submission: 5 December 2019 > > > *4. Symposium Overview* > > In recent years, there have been numerous advances in approximate > inference methods, which have enabled Bayesian inference in increasingly > challenging scenarios involving complex probabilistic models and large > datasets. The 2nd Symposium on Advances in Approximate Bayesian Inference ( > AABI) will discuss this impact of Bayesian inference, connecting both > variational and Monte Carlo methods with other fields. We encourage > submissions that relate Bayesian inference to the fields of reinforcement > learning, causal inference, decision processes, Bayesian compression, or > differential privacy, among others. We also encourage submissions that > contribute to connecting different approximate inference methods. > > This symposium is a continuation of past years events: > + 1st Symposium on Advances in Approximate Bayesian Inference (2018) > + NIPS 2017 Workshop: Advances in Approximate Bayesian Inference > + NIPS 2016 Workshop: Advances in Approximate Bayesian Inference > + NIPS 2015 Workshop: Advances in Approximate Bayesian Inference > + NIPS 2014 Workshop: Advances in Variational Inference > > > *5. Invited Speakers and Panelists* > > Invited speakers: > Emily Fox (University of Washington) > Michael Gutmann (University of Edinburgh) > Sergey Levine (UC Berkeley) > Qiang Liu (University of Texas at Austin) > Christian Robert (Ceremade - Universit? Paris-Dauphine) > Michalis Titsias (DeepMind) > Rianne van den Berg (University of Amsterdam) > > Panel: > Moderator: Frank Wood (University of British Columbia) > Barbara Engelhardt (Princeton University) > James Hensman (Prowler.io) > Radford Neal (University of Toronto) > Christian Robert (Ceremade - Universit? Paris-Dauphine) > Sinead Williamson (University of Texas at Austin) > > > > Symposium organizers: > Thang Bui (University of Sydney / Uber) > Adji Dieng (Columbia University) > Dawen Liang (Netflix) > Francisco Ruiz (University of Cambridge / Columbia University) > Cheng Zhang (Microsoft Research) > > Advisory committee: > David Blei (Columbia University) > Stephan Mandt (University of California, Irvine) > James McInerney (Netflix) > Dustin Tran (Google Brain / Columbia University) > -------------- next part -------------- An HTML attachment was scrubbed... URL: From niculae.sebe at unitn.it Fri Oct 11 05:46:39 2019 From: niculae.sebe at unitn.it (Nicu Sebe) Date: Fri, 11 Oct 2019 11:46:39 +0200 Subject: Connectionists: Postdoctoral positions at the University of Trento, Italy In-Reply-To: <4ed84759-f48c-4d51-6b30-23e959c42178@disi.unitn.it> References: <4ed84759-f48c-4d51-6b30-23e959c42178@disi.unitn.it> Message-ID: <02f490fe-9b12-031f-b7b0-c3913dd24d66@disi.unitn.it> Multiple positions at post-doctoral level are available in the Department of Computer Science at the University of Trento (UniTN), to work under the supervision of Prof. Nicu Sebe (http://disi.unitn.it/~sebe/ ) and Prof. Elisa Ricci (http://elisaricci.eu). The candidates will join the MHUG (Multimedia and Human Understanding Group) at UniTN and be part of the Vision and Learning Joint Laboratory, a new laboratory bringing together computer vision researchers from UniTN and Fondazione Bruno Kessler (https://www.fbk.eu ). The research group conducts research in the fields of computer vision and multimedia. In computer vision, we address a large spectrum of themes including human-behavior analysis, action recognition, 2D/3D object detection, large-scale event detection and video analysis, etc.? In multimedia, our research focuses on cross media retrieval, multi-modal learning, social media analysis, emotion recognition, etc. The open positions are financed by several projects: the H2020 EU Project SPRING (Socially Assistive Robots for Gerontological Healthcare), the PRIN italian project PREVUE (Prediction of Activities and Events by Vision in an Urban Environment), EUREGIO project OLIVER (Open-ended Learning for Interactive Robots), and collaboration project Italy-CHINA TALENT (Joint UAV and Surveillance Video Content Analysis and Mining for Smart City). The research group is also involved in several industrial projects, in collaboration with many national and international companies. The main research themes are: * Theme A: Human Behavior Analysis. The activity will focus on designing novel algorithms and models for analyzing and understanding human behavior from visual data gathered by a robotic platform. Specifically, we expect the candidate to develop algorithms for behavioral cues extraction? (e.g. gestures, facial expressions), human action recognition/anticipation and social interactions analysis. * Theme B: Semantic Scene Understanding. The activity will focus on developing deep learning-based algorithms for semantic scene analysis. In particular, the research activity will focus on devising algorithmic solutions for pixel-level prediction tasks (e.g. semantic segmentation, depth estimation) and on their integration within tools for building semantic maps of indoor scenes. * Theme C: Domain Adaptation and Continual Learning. The activity will build on previous works from the research group (Mancini et al., CVPR 2019; Berriel et al., ICCV 2019, Roy et al.CVPR 2019) and will focus on devising novel algorithms for domain adaptation and continual learning, with special emphasis on methodologies for video streams analysis. The candidates are expected to take a lead role in the projects, including developing novel algorithmic solutions, setting up experiments, collecting and analyzing data, training and supervision of graduate students and undergraduate research assistants, and dissemination of results at conferences and in research publications. At the time of the application, eligible candidates should have a Ph.D. degree in Computer Science, Engineering, or related fields. Proven scientific track record on major computer vision and multimedia conferences/journals (CVPR, ICCV, ECCV, ACM Multimedia, TPAMI, IJCV, etc.) is a criteria for the selection as well as experience on deep learning algorithms and relevant platforms (e.g. TensorFlow, PyTorch, Theano, Caffe). Experience in robotics is considered a plus. Desirable skills and qualifications are experience in grant proposal preparation at European and National level as well as experience in supervising or co-supervising PhD and MSc students. -- Prof. Nicu Sebe, Ph.D. Department of Information Engineering and Computer Science University of Trento Via Sommarive 9 - 38123 Povo - Trento (Italy) ph. + 39 0461 28 2989 fax. + 39 0461 28 3939 -------------- next part -------------- An HTML attachment was scrubbed... URL: From martinvinck at gmail.com Sat Oct 12 10:33:17 2019 From: martinvinck at gmail.com (Martin Vinck) Date: Sat, 12 Oct 2019 16:33:17 +0200 Subject: Connectionists: PhD and Postdoc positions in Frankfurt, Germany Message-ID: Apologies for cross-posting: The laboratory of Dr. Martin Vinck at the Ernst Struengmann Institute for Neuroscience in Cooperation with Max Planck Society is seeking multiple Postdocs and PhDs for experimental projects in marmoset (ideally starting early spring of 2019). We will study predictive processing in the visual system, test new models of object recognition, and the contribution of different cell types to neural coding. Data will be collected with chronic, high-density silicon probes including wireless recordings during (freely moving) natural behavior (using the eCube white matter system). A part of the project involves optogenetics. Additional training in high-density electrophysiology can be acquired by participation in projects in mice. You will work closely together with computational scientists in our laboratory working on deep learning and state space analyses. The main focus of the project is the interpretation of neural activity from artificial neural networks (in particular recurrent and predictive neural networks) and the study of population coding. We are looking for candidates with a biology or medicine background and experience in behavioral training and electrophysiology. Frankfurt is an internationally oriented city with many neuroscience institutes in the neighbourhood, e.g. the Max Planck Institute for Brain Research , the FIAS , the Interdisciplinary Center for Neuroscience , and the institute for Empirical Aesthetics. Interested candidates are invited to send their application materials in electronic form (PDF format) to martin.vinck at esi-frankfurt.de. The first deadline for applications is 7 of November 2019. Applications should contain a letter of intent, a detailed curriculum vitae, lists of university courses completed with marks obtained, and the names of at least two scientists who can give references (or at least two reference letters). The advertisement will be valid until positions are filled. Positions are not yet filled. -------------- next part -------------- An HTML attachment was scrubbed... URL: From keller at inf.ed.ac.uk Fri Oct 11 14:30:33 2019 From: keller at inf.ed.ac.uk (Frank Keller) Date: Fri, 11 Oct 2019 19:30:33 +0100 Subject: Connectionists: PhD Studentships and the University of Edinburgh Message-ID: <23968.51785.622456.120675@steen.inf.ed.ac.uk> PHD STUDENTSHIPS IN COMPUTATIONAL LINGUISTICS, SPEECH TECHNOLOGY AND COGNITIVE SCIENCE Institute for Language, Cognition and Computation School of Informatics University of Edinburgh The Institute for Language, Cognition and Computation (ILCC) at the University of Edinburgh invites applications for three-year PhD studentships starting in September 2020. ILCC is dedicated to the pursuit of basic and applied research on computational approaches to language, communication and cognition. Primary research areas include: * Natural language processing and computational linguistics * Speech technology * Dialogue, multimodal interaction, language and vision * Information retrieval and visualization, computational social science * Computational models of human cognition, including language and speech, decision-making, learning and generalization * Human-Computer interaction, design informatics, assistive and educational technology Approximately 10 studentships from a variety of sources are available, covering both maintenance at the research council rate of GBP 15,009 per year and tuition fees. Studentships are available for UK, EU, and non-EU nationals. Applicants should have a strong undergradudate degree or equivalent in computer science, cognitive science, AI, or a related discipline. For a list of academic staff at ILCC with research areas, and for a list of indicative PhD topics, please consult: http://web.inf.ed.ac.uk/ilcc/people/academic-senior-research-staff http://www.ilcc.inf.ed.ac.uk/study/possible-phd-topics-in-ilcc Details regarding the PhD programme and the application procedure can be found at: http://www.ed.ac.uk/informatics/postgraduate/research-degrees/phd In order to ensure full consideration, applications need to be received by 29 November 2019 (non-EU/UK applicants) or by 31 January 2020 (EU/UK applicants). Please direct inquiries to the PhD admissions team at ilcc-admissions at inf.ed.ac.uk. Please note that the 3-year ILCC PhD program is distinct from the UKRI Centre for Doctoral Training in Natural Language Processing, which offers a 4-year PhD with integrated study: https://edinburghnlp.inf.ed.ac.uk/cdt/ -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. From srodrigues at bcamath.org Sat Oct 12 09:59:26 2019 From: srodrigues at bcamath.org (Serafim Rodrigues) Date: Sat, 12 Oct 2019 15:59:26 +0200 Subject: Connectionists: Seeking two phd students Message-ID: Hello, I am looking for two PhD students to work in my MCEN lab within the Basque Centre for Applied Mathematics (Bilbao/Spain; http://www.bcamath.org/) on research questions at the interface between Neural Networks and Computational Neuroscience. The application period closes soon, however the phd project would start in September 2020 (according to the Spanish law). We are seeking students who either, are undertaking their MSc degree or already have completed it. We encourage students with background training in either Maths, Physics, Computer Science or Engineering to apply.Moreover, students with programming skills are desirable. Those interested, please contact Prof. Serafim Rodrigues at srodrigues at bcamath.org The application will involve submitting the following documents: CV, official under graduate or MSc grades and 2 reference letters. We hope to hear from you. Sincerely Serafim Serafim Rodrigues Group Leader *BCAM - *Basque Center for Applied Mathematics Alameda de Mazarredo, 14 E-48009 Bilbao, Basque Country - Spain Tel. +34 946 567 842 srodrigues at bcamath.org | www.bcamath.org/srodrigues *(**matematika mugaz bestalde)* -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicolas.navarro.guerrero at gmail.com Fri Oct 11 12:49:44 2019 From: nicolas.navarro.guerrero at gmail.com (=?UTF-8?Q?Nicol=c3=a1s_Navarro-Guerrero?=) Date: Fri, 11 Oct 2019 18:49:44 +0200 Subject: Connectionists: PhD position in Cognitive Robotics (navigation in crowded environments) at Aarhus University, Denmark In-Reply-To: <70cbc4d9-bbaa-fd07-d28f-2ee83525dd0b@gmail.com> References: <70cbc4d9-bbaa-fd07-d28f-2ee83525dd0b@gmail.com> Message-ID: Please forward this job advertisement to candidates who might be interested. Open position for a PhD student with Panagiotis Karras and Nicolas Navarro-Guerrero Department of Computer Science and Department of Engineering Aarhus University, Aarhus, Denmark Research topic: We are looking for an outstanding candidate who will be working on GPS-free indoor and outdoor localization and navigation for unnamed ground vehicles in crowded environments using neural networks and machine learning methods. The position is funded by the AU Centre for Digitalisation, Big Data and Data Analytics. Time The appointment will be for three years (candidates with an MSc degree) or 5 years (candidates with a BSc degree). Early starting date on the 1st of February 2020. Salary: AU rules will be applied. PhD student salaries in Denmark are determined by collective union agreements and are among the highest in the world, both before and after taxation. Place of employment and place of work: Aarhus University, Aarhus, Denmark. Requirements Applicants must hold an M.Sc. in Computer Science, Engineering or Mathematics or a closely related field from a recognised institution and with excellent results is required. The ideal candidate has a strong interest in interdisciplinary research, the ability to work in projects involving researchers from different departments, and demonstrates a mature approach to time management. In addition, very good communication skills in English, oral as well as written, are expected. * Proficiency in at least one common programming language eg. Python or C++ * Experience with Unix-like operating systems * Experience with Deep Learning libraries such as PyTorch and TensorFlow * Experience in Robot Operating System (ROS) is a plus Before you apply please contact Panagiotis Karras and Nicolas Navarro-Guerrero to assist in the application process. Application attachments As a minimum all applications must include (pdf-files only, max. 20 MB, no zip): * One reference (template for references) * Curriculum vitae, * Motivation (max. 1 page) * Transcripts, grade point averages (weighted and unweighted), and diploma(s) for both Bachelor's and Master's degree * Documentation of language skills if required. Best regards, Nicol?s -- Nicol?s Navarro-Guerrero Assistant Professor Department of Engineering, and School of Culture and Society Aarhus University, Denmark E-mail: nng at eng.au.dk https://nicolas-navarro-guerrero.github.io/ https://socialrobotics.au.dk/ Aarhus University Finlandsgade 22, building 5125 8200 Aarhus N Denmark Tel.: +45 8715 0000 eng at au.dk www.eng.au.dk/en/ From melaahi2 at gmail.com Thu Oct 10 12:27:50 2019 From: melaahi2 at gmail.com (M Elahi) Date: Thu, 10 Oct 2019 18:27:50 +0200 Subject: Connectionists: [Topic] Algorithms for Personalization Techniques and Recommender Systems In-Reply-To: References: Message-ID: Special Issue on ?Algorithms for Personalization Techniques and Recommender Systems? *============================================================* We are glad to announce the Special Issue dedicated to ?Algorithms for Personalization Techniques and Recommender Systems? in the journal of Algorithms, an EI-, ESCI-, and Scopus-indexed open access journal. This Special Issue on ?Algorithms for Personalization Techniques and Recommender Systems? aims to form a reference point in this research area, i.e., the models and algorithms for the (more generic) goal of ?personalization? and the (more specific) goal of ?recommendations?. We invite works that present their latest findings in the state-of-the-art of the related theory and practice, and to contribute to the advancement of this research area. *============================================================* Further info can be found here: https://www.mdpi.com/journal/algorithms/special_issues/Algorithms_Recommender_Systems Submission deadline is *30 November 2019*. *============================================================* We hope that this is of interest to you. With kind regards, *Dr. Mehdi Elahi*: https://www.linkedin.com/in/mehdielahi *Dr. Marko Tkalcic*: http://markotkalcic.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From michele.giugliano at sissa.it Fri Oct 11 12:17:43 2019 From: michele.giugliano at sissa.it (Michele Giugliano) Date: Fri, 11 Oct 2019 18:17:43 +0200 Subject: Connectionists: 2 Postdocs and 1 Project Manager on H2020 grant Message-ID: <4506D51B-B4D5-4E6B-9B0A-80BA2F30EF7A@sissa.it> 2 Post-doctoral positions and 1 Project Manager position are available at the newly established Neural Dynamics Laboratory of the International School of Advanced Studies (SISSA) of Trieste, Italy (http://phdneurobiology.sissa.it/eng/faculty/michele-giugliano.aspx ). The positions are funded for up to 42 months on a new EC-Horizon 2020 initiative called "Ionic Neuromodulation For Epilepsy Treatment (IN-FET)", combining neurobiology, nanotechnologies, electrochemistry, and electronics together for designing a breakthrough novel technology in brain modulation. The research positions aim to experimentally validate novel routes for cellular and microcircuit stimulation or suppression, in collaboration with a consortium of partners which includes IBM Research Zurich, the University of Geneva, the University of Sheffield, and the Inter-university consortium for Nanoelectronics. We search for experts in in vitro electrophysiology (substrate-integrated microelectrode arrays) and patch-clamp recordings (dissociated cell cultures, acute and organotypic brain tissue slices) with a strong background in quantitative data analysis and a strong interest for interdisciplinary research. The Project Manager position aims at supporting the organization, dissemination, and reporting activities in the context of EC-funded project and partially at supporting scientific software development. We search for candidates with previous experience in management of H2020 project, and fluent with the reporting EC online platform (e.g. Participant Portal) who might also be interested in providing partial support for content management of a web site as well as for scientific software applications development. Please direct informal inquiries, a CV and a brief statement of interest, to Prof. Michele GIUGLIANO (michele.giugliano AT sissa.it) Direct application soon available from the SISSA's website: https://www.sissa.it/recruitment -------------- next part -------------- An HTML attachment was scrubbed... URL: From albagarciaseco at gmail.com Sat Oct 12 08:09:05 2019 From: albagarciaseco at gmail.com (=?UTF-8?B?QWxiYSBHYXJjw61h?=) Date: Sat, 12 Oct 2019 13:09:05 +0100 Subject: Connectionists: Data Scientist (KTP Associate), CSEE, University of Essex, UK Message-ID: The University of Essex in partnership with Firza Ltd offers an exciting opportunity to a graduate with the relevant skills and knowledge to develop an AI driven Primary Care Workflow Automation System to collect, process and act upon patient data, using Natural Learning Processing (NLP), Computer Vision (CV) and Machine Learning (ML) techniques. This post is fixed term for 28 months and is based at Firza Ltd offices in Kent. More information: https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=816703Ku5p&WVID=9918109NEm&LANG=USA Application closing date23/10/2019 Dr Alba Garc?a Seco de Herrera PhD Lecturer Department of Computer Science and Electronic Engineering (CSEE) University of Essex T +44 (0) 1206 872907 E alba.garcia at essex.ac.uk ? https://www.essex.ac.uk/ WE ARE ESSEX -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Mon Oct 14 10:54:08 2019 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Mon, 14 Oct 2019 16:54:08 +0200 Subject: Connectionists: [CfP] ISWC 2019 Minute Madness & conference overview Message-ID: 18th International Semantic Web Conference (ISWC 2019) ?Knowledge Graphs, Linked Data, Linked Schemas and AI on the Web? Auckland, New Zealand, 26-30 October, 2019 https://iswc2019.semanticweb.org/ The International Semantic Web Conference (ISWC) is the premier venue for presenting fundamental research, innovative technology, and applications concerning semantics, data, and the Web. It is the most important international venue to discuss and present latest advances and applications of the semantic Web, knowledge graphs, linked data, ontologies and artificial intelligence (AI) on the Web. ISWC attracts a large number of high quality submissions every year and participants from both industry and academia. ISWC brings together researchers from different areas, such as artificial intelligence, databases, natural language processing, information systems, human computer interaction, information retrieval, web science, etc., who investigate, develop and use novel methods and technologies for accessing, interpreting and using information on the Web in a more effective way. Follow us: Twitter: @iswc_conf , #iswc_conf ( https://twitter.com/iswc_conf ) LinkedIn: https://www.linkedin.com/groups/13612370 Facebook: https://www.facebook.com/ISWConf/ Become part of ISWC 2019 by submitting to the following tracks & activities or just attend them! (All deadlines are 23:59:59 Hawaii time.) In this announcement: * Highlights 1. Call for contributions - Minute Madness 2. ISWC Overview * Highlights ******************************************* * Minute Madness - Remote participation allowed: selected videos will be played during the session! * ISWC Overview - a week digest & get your (electronic) visa 1. Call for contributions - Minute Madness ******************************************* The Minute Madness is a tradition at the International Semantic Web Conference that started back in 2011. It has always been an entertaining session that provides conference participants with a quick and fun overview of the presented works at the conference. This year?s ISWC will feature for the first time a stand-alone Minute Madness Call. This means, the session will be opened up to every conference attendee to submit a contribution to the Minute Madness call. Although we aim to accommodate as many talk proposals as possible, the submissions in the form of a 1-minute video (using strictly one slide) will be ranked by a Program Committee and the best 40 contributions will be selected. Accepted Posters and Demos, willing to advertise themselves before the dedicated session, will need to submit a Contribution to the Minute Madness call, but will be assessed separately from the other submissions. The Minute Madness will be organized in two plenary sessions, both on the first day of the conference. The event?s goal is twofold, either to give an author of any contribution at the conference the opportunity to advertise their talk to a large audience and therefore ensure that all interested participants will visit their talk or booth (in case of Posters & Demos) or to give any other participant a chance to advertise any other relevant topic of interest (e.g., early research results, organization of working groups, open positions, cooperation opportunities, standardization activities, upcoming events, etc.) to the ISWC plenary. Further info: https://iswc2019.semanticweb.org/call-for-contributions-minute-madness/ == Important Dates == Submissions due October 23, 2019 == Program Chairs == Contact: iswc2019-minute-madness at inria.fr Irene Celino, Cefriel, Milano, Italy Armin Haller, Australian National University, Canberra, Australia 2. ISWC Overview ******************************************* Program: https://iswc2019.semanticweb.org/program-conf/ Keynote Talks: For knowledge byJ?r?me Euzenat https://iswc2019.semanticweb.org/keynote-euzenat/ Extracting Knowledge from the Data Deluge to Reveal the Mysteries of the Universe by Melanie Johnston-Hollitt https://iswc2019.semanticweb.org/keynote-melanie/ Semantics: the business technology disruptor of the future by Dougal Watt https://iswc2019.semanticweb.org/keynote-dougal/ Panel: How much semantics goes how long a way? https://iswc2019.semanticweb.org/panel/ Outrageous Ideas Panel: How to make Semantic Web Research Outrageous? Workshops: https://iswc2019.semanticweb.org/program-workshop/ Tutorials: https://iswc2019.semanticweb.org/tutorials/ Challenges: https://iswc2019.semanticweb.org/challenges/ Don?t forget to get your (electronic) visa: https://iswc2019.semanticweb.org/visa-information/ See you all soon in Auckland! The ISWC 2019 Organising Team ( https://iswc2019.semanticweb.org/organizing-committee/ ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From keller at inf.ed.ac.uk Mon Oct 14 06:23:44 2019 From: keller at inf.ed.ac.uk (Frank Keller) Date: Mon, 14 Oct 2019 11:23:44 +0100 Subject: Connectionists: Fully funded four-year PhD studentships: UKRI Centre for Doctoral Training in Natural Language Processing In-Reply-To: <23972.19550.722464.897884@fenway.inf.ed.ac.uk> References: <23972.19550.722464.897884@fenway.inf.ed.ac.uk> Message-ID: <23972.19632.90793.883270@fenway.inf.ed.ac.uk> FULLY FUNDED FOUR-YEAR PHD STUDENTSHIPS UKRI CENTRE FOR DOCTORAL TRAINING IN NATURAL LANGUAGE PROCESSING Based at the University of Edinburgh: in conjunction with School of Informatics and School of Philosophy, Psychology and Language Sciences. Deadlines: * Non EU/UK: 29^th November 2019 * EU/UK: 31^st January 2020. Applications are now sought for the CDTs second Cohort of students to start in September 2020. * * * The CDT in NLP offers unique, tailored doctoral training comprising both taught courses and a doctoral dissertation. Both components run concurrently over four years. Each student will take a set of courses designed to complement their existing expertise and give them an interdisciplinary perspective on NLP. They will receive full funding for four years, plus a generous allowance for travel, equipment and research costs. The CDT brings together researchers in NLP, speech, linguistics, cognitive science and design informatics from across the University of Edinburgh. Students will be supervised by a team of over 40 world-class faculty and will benefit from cutting edge computing and experimental facilities, including a large GPU cluster and eye-tracking, speech, virtual reality and visualisation labs. The CDT involves over 20 industrial partners, including Amazon, Facebook, Huawei, Microsoft, Mozilla, Reuters, Toshiba, and the BBC. Close links also exist with the Alan Turing Institute and the Bayes Centre. A wide range of research topics fall within the remit of the CDT: * Natural language processing and computational linguistics * Speech technology * Dialogue, multimodal interaction, language and vision * Information retrieval and visualization, computational social science * Computational models of human cognition and behaviour, including language and speech processing * Human-Computer interaction, design informatics, assistive and educational technology * Psycholinguistics, language acquisition, language evolution, language variation and change * Linguistic foundations of language and speech processing The second cohort of CDT students will start in September 2020 and is now open to applications. Around 12 studentships are available, covering maintenance at the research council rate* (currently GBP 15,009 per year) plus tuition fees. Studentships are available for UK, EU and non-EU nationals. Individuals in possession of other funding scholarships or industry funding are also welcome to apply -- please provide details of your funding source on your application. Applicants should have an undergraduate or master's degree in computer science, linguistics, cognitive science, AI, or a related discipline. We particularly encourage applications from women, minority groups and members of other groups that are underrepresented in technology. Further details including the application procedure can be found at: https://edin.ac/cdt-in-nlp Application Deadlines In order to ensure full consideration for funding, completed applications (including all supporting documents) need to be received by: 29^th November 2019 (non EU/UK) or 31^st January 2020 (EU/UK). CDT in NLP Open Days Find out more about the programme by attending the PG Open Day at the School of Informatics or by joining one of the CDT in NLP Virtual Open Days: PG Open Day: 13^th November 2019 register via https://www.ed.ac.uk/studying/postgraduate/open-days-events-visits/open-days/programme Virtual Open Day: 14^th November 2019 register via https://www.eventbrite.co.uk/e/75139952621 Virtual Open Day: 9^th January 2020 register via https://www.eventbrite.co.uk/e/75163007579 Enquiries Any enquiries, please direct them to the CDT admissions team at: cdt-nlp-info at inf.ed.ac.uk. *https://www.ukri.org/skills/funding-for-research-training/ -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. From max.garagnani at gmail.com Sun Oct 13 13:11:12 2019 From: max.garagnani at gmail.com (Max Garagnani) Date: Sun, 13 Oct 2019 18:11:12 +0100 Subject: Connectionists: MSc in Computational Cognitive Neuroscience -- 2020-21 applications NOW OPEN In-Reply-To: <8E9F8461-933E-41FA-A3BB-A4F09DA53C9F@campus.goldsmiths.ac.uk> References: <6FB84FF7-B778-4FA6-B426-0DF03935CF73@campus.goldsmiths.ac.uk> <8E9F8461-933E-41FA-A3BB-A4F09DA53C9F@campus.goldsmiths.ac.uk> Message-ID: ******************************************************************************** The MSc in Computational Cognitive Neuroscience programme at Goldsmiths, University of London (UK) is now accepting application for 2020-21 entry. This cutting-edge Masters course, a combined effort of the Computing and Psychology Departments, builds on the multi-disciplinary and strong research profiles of our staff. It equips students with a sound grounding in theoretical and experimental methods of computational cognitive neuroscience, providing them also with an opportunity to apply their newly acquired knowledge in a practical research project, which may be carried out in collaboration with one of our industry partners. Applications for the 2020-21 Academic Year are now open. To submit an online application (free of charge), just click on the link below and follow the instructions: https://bit.ly/2Fi86SB * COURSE OUTLINE * ================== This is a one-year full-time MSc degree programme, consisting of taught courses (6 months) plus research project and dissertation (6 months). It is designed for students with a good degree in the biological / life sciences (psychology, neuroscience, biology, medicine, etc.) or physical sciences (computer science, mathematics, physics, engineering), however, individuals with different backgrounds but equivalent experience will also be considered. The core contents of this course include (i) fundamentals of cognitive neuroscience (cortical and subcortical mechanisms and structures underlying cognition and behaviour, plus experimental and neuroimaging techniques), and (ii) concepts and methods of computational modelling of biological neurons, simple neuronal circuits, and higher brain functions. Students are trained with a rich variety of computational and advanced methodological skills, taught in the four core modules of the course (?Modelling Cognitive Functions?, ?Cognitive Neuroscience?, ?Cortical Modelling?, and ?Advanced Quantitative Methods?).Unlike other standard computational neuroscience programmes (which focus predominantly on modelling ?low-level? aspects of brain function), one of the distinctive features of this course is that it includes the study of biologically constrained models of cognitive processes (including, e.g., language and decision making). The final research project can be carried out ?in house? or in collaboration with an external partner, either from academia or industry. Our programme currently has links with 6 different international companies (based in UK, Germany, Italy, USA and Japan). Carrying out your final project in collaboration with one of our industry partners will enable you to acquire modern technical skills that are much in demand, paving the way for employment opportunities and making you particularly competitive on the job market. * POSTGRADUATE OPEN EVENING * ============================== If you are interested, but still not 100% sure this is the right course for you, come and talk to us in person at the forthcoming Goldsmiths? annual POSTGRADUATE OPEN EVENING! This is a FREE event open to everyone, which will take place at Goldsmiths campus in London on: ** Wednesday 20th November between 4-7pm **. During the evening you will hear us present the course and be able to ask us any questions, have a tour of the MSc Laboratories, and even meet some of the current students or future fellow course mates. To reserve your place, please visit: https://www.gold.ac.uk/open-days/. More details about exact times and location of the MSc Computational Cognitive Neuroscience introductory talk and tour of the laboratories will be provided nearer to the date. For any further information, including funding opportunities and tuition fees, please visit: https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/ Should you have any specific questions, please do get in touch. Best wishes, Max Garagnani - Joint Programme Leader, MSc in Computational Cognitive Neuroscience Department of Computing Goldsmiths, University of London Lewisham Way, New Cross London SE14 6NW, UK Tel. +44 (0)20 7919 7850 Fax: +44 (0)20 7919 7853 https://www.gold.ac.uk/computing/people/garagnani-max/ https://www.gold.ac.uk/psychology/staff/herrojo-ruiz-maria/ Follow us on Twitter: https://twitter.com/coconeuro_gold ******************************************************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From wachtler at biologie.uni-muenchen.de Tue Oct 15 02:54:04 2019 From: wachtler at biologie.uni-muenchen.de (Thomas Wachtler) Date: Tue, 15 Oct 2019 08:54:04 +0200 Subject: Connectionists: =?utf-8?q?ANDA_2020_-_G-Node_Advanced_Neural_Data?= =?utf-8?q?_Analysis_Course=2C_April_14-30=2C_2020=2C_J=C3=BClich=2C_Germa?= =?utf-8?q?ny?= In-Reply-To: <19172da72d729f87e144662a16f9d7f7@biologie.uni-muenchen.de> References: <653a738c3e45bfdc9ee42c46df908e47@biologie.uni-muenchen.de> <19172da72d729f87e144662a16f9d7f7@biologie.uni-muenchen.de> Message-ID: <111419_1571122920_x9F71vMc111519_baca6a3a7b8eab32ef09281b88d26b52@biologie.uni-muenchen.de> ANDA 2020 - G-NODE ADVANCED NEURAL DATA ANALYSIS COURSE April 14 - 30, 2020 Haus Overbach, J?lich-Barmen, Germany Techniques to record neuronal data from populations of neurons are rapidly improving. Simultaneous recordings from hundreds of channels are possible while animals perform complex behavioral tasks. The analysis of such massive and complex data becomes increasingly challenging. This advanced course aims at providing deeper training in state-of-the-art analysis approaches in systems neuroscience. The course is addressed to excellent master and PhD students and young researchers who are interested in learning advanced techniques in data analytics and in getting hands-on experience in the analysis of electrophysiological data. Internationally renowned researchers will give lectures on statistical data analysis and data mining methods with accompanying exercises. Students will define and perform their own analyses on provided data to solve a challenge. Participants are required to have a strong interest in data analysis, a background in a mathematical or related field, knowledge of algebra, matrix operations, and statistics, and need to have solid programming experience (preferably in Python). FACULTY ? Moshe Abeles, Hebrew Univ. Jerusalem, Israel ? Michael Denker, J?lich Research Center, Germany ? Udo Ernst, Univ. Bremen, Germany ? Sonja Gr?n, J?lich Research Center, Germany ? Adam Kohn, Albert Einstein College of Medicine, New York, USA ? Jakob Macke, TU Munich, Germany ? Luca Mazzucato, Univ. of Oregon, Eugene, USA ? Martin Nawrot, Univ. of Cologne, Germany ? Yifat Prut, Hebrew Univ. Jerusalem, Israel ? Hansj?rg Scherberger, German Primate Center, G?ttingen, Germany ? Thomas Wachtler, LMU Munich, Germany TOPICS COVERED Single neuron properties and statistics ? Stochastic processes ? Surrogate methods ? Detection of spatio-temporal patterns ? Unitary Events ? Statistical analysis of massively parallel spike data ? Higher-order correlation analyses ? Elephant toolbox ? Spike-LFP relationship ? Population coding ? State space analysis ? Machine learning ? Data mining ? Research data management and reproducibility REQUIREMENTS Applicants should be familiar with linear algebra, probability, differential and integral calculus and experienced using Python or Matlab. Preparatory reading material will be provided. Students should bring their own laptops and should be able to install software on their system. Students that do not have a suitable laptop should indicate this immediately after acceptance to the course. We will be able to provide a small number of laptops for the time of the course. COURSE FEE A course fee of 1000 Euros will be charged to cover costs for accommodation and meals. Limited financial support may be available for students that otherwise would not be able to attend, which is to be indicated in the application. HOUSING Accommodation in 2-bed rooms for students will be provided at the course site. HOW TO APPLY The application should include ? a letter of motivation (max 1 page) ? curriculum vitae (please indicate the relevant courses you have taken) ? description of programming experience ? a letter of recommendation. Please send all documents as a single PDF file to . APPLICATION DEADLINE Applications must be received by NOVEMBER 15, 2019. Early application is encouraged. For further information see http://www.g-node.org/anda -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- _______________________________________________ Comp-neuro mailing list Comp-neuro at neuroinformatics.be http://www.tnb.ua.ac.be/mailman/listinfo/comp-neuro From Franz.Knappik at uib.no Tue Oct 15 05:28:30 2019 From: Franz.Knappik at uib.no (Franz Ulrich Knappik) Date: Tue, 15 Oct 2019 09:28:30 +0000 Subject: Connectionists: =?windows-1252?q?CfP_=93The_Phenomenology_of_Join?= =?windows-1252?q?t_Action=2E_Structure=2C_Mechanisms=2C_and_Functions=94_?= =?windows-1252?q?=28Special_Issue_of_=22Philosophical_Psychology=22=29?= Message-ID: Call for papers Special Issue of "Philosophical Psychology": ?The Phenomenology of Joint Action. Structure, Mechanisms, and Functions? Guest editors: Franz Knappik & Nivedita Gangopadhyay (University of Bergen) Philosophers, psychologists and neuroscientists have extensively studied the ?sense of agency? and other aspects of the phenomenology of individual action. Joint action has been the topic of much work in these disciplines, too, but that work has focused on issues about the structure, ontogenesis and neurophysiology of joint action. The phenomenology of joint action has only recently become a topic of contemporary debate in philosophy and other cognitive sciences. It is the aim of this special issue to promote this emerging interest in the phenomenology of joint action, and to provide an interdisciplinary forum for discussing questions about the structure, mechanisms and functions of our experience of joint action. We invite contributions from all relevant fields, including analytic philosophy, phenomenology, theoretical and experimental psychology and neuroscience. Empirical researchers who reflect upon their work from a theoretical/philosophical perspective, and theoretical psychologists and neuroscientists casting a perspective on the empirical literature, are particularly encouraged to submit. Questions to be addressed in the special issue include the following: ? Does the phenomenology of joint action include the same elements as the phenomenology of individual action, or are there differences? ? Are the phenomenal features of joint action distinctly intersubjective, and if so, what makes this the case? ? What cognitive and neural mechanisms underlie the phenomenology of joint action, and what factors modulate that phenomenology? ? Does the experience of joint action display effects of intentional binding? ? What are the functions of our experience of joint action with regard to factors like ontogenesis of joint action capacities; the coordination, monitoring and control of joint action; first-personal knowledge about joint action; and our practices of holding agents responsible for their actions? ? What can we learn about the phenomenology of joint action and its functions by exploring cases of conflict and breakdown (e.g. misunderstandings, relevant psychopathological conditions), large-scale and complex cases of joint actions, cases with a particularly strong and complex phenomenology (e.g. dance, theatre, music, cult actions, group therapy, and social-political activism), and human-machine interaction? Important dates: January 31, 2020: deadline for abstracts (ca. 500 words), to be sent to the guest editors at franz.knappik at uib.no and nivedita.gangopadhyay at gmail.com, with ?Abstract Special Issue PhilPsych? as subject. February 15, 2020: notification about whether the planned paper is suitable for submission. July 31, 2020: deadline for submission of papers (max. 10.000 words) for double blind peer review at https://mc.manuscriptcentral.com/cphp. For more information, including a bibliography and a more detailed description of the topics and questions to be addressed in submissions, please consult the extended version of this Call for Papers at https://think.taylorandfrancis.com/philosophical-psychology-phenomenology-joint-action/. ============= Franz Knappik Professor Department of Philosophy, University of Bergen Room 216B, Sydnesplassen 12/13, 5020 Bergen, Norway Homepage: www.uib.no/en/persons/Franz.Knappik From dxkeec at gmail.com Tue Oct 15 21:16:19 2019 From: dxkeec at gmail.com (Dhireesha Kudithipudi) Date: Tue, 15 Oct 2019 20:16:19 -0500 Subject: Connectionists: Opening for Postdoctoral Position at UTSA Message-ID: > > An Opening for a Postdoctoral Researcher > If you are a researcher or practitioner in the field of machine learning > and are interested in working on cutting-edge neurally inspired machine > learning algorithms and systems, please consider applying for the following > position: > > We are seeking an exceptional postdoc to join the Neuromorphic AI Lab at > the University of Texas-San Antonio. At the Neuromorphic AI Lab, we work on > brain-inspired AI algorithms and systems, neuromorphic computing, AI > accelerators, energy-efficient machine intelligence, and use-inspired AI. > The postdoctoral researcher will contribute to our research effort towards > designing lifelong learning networks in the spiking domain, as part of two > funded research efforts with DoD. > > The project will involve developing deep spiking algorithms that advance > the state of the art in performance for complex spatial-temporal tasks. The > goal is to further advance our approaches that are capable of utilizing > neural plasticity, lifelong learning, and hybrid CNN-Neural models. A broad > range of approaches are applicable, and the focus will be decided according > to the background and aims of the successful candidate. The scholar will > work closely with interdisciplinary portfolio of researchers, such as > neuroscientists, computer architects, engineers, and cognitive scientists > to design, deploy and evaluate the models. Successful candidate will also > be part of a vibrant and rapidly growing AI community at UTSA and will have > access to several mentors and collaborators in the new AI Consortium at > UTSA. > > Requirements: > - PhD/DPhil (or near completion) in computer science, electrical and > computer engineering, machine learning, artificial intelligence, > computational neuroscience or related field. > - Excellent academic track record in topics relevant to - machine learning > or related areas. > - Excellent programming skills. > - Outstanding communication and presentation skills with fluency in spoken > and written English > - Established record of distinguished scholarly achievement > - Highly motivated and enjoys working in a collaborative research > environment > > Key Responsibilities: > --Develop neural network algorithms and software models using different > programming languages. > -Present regular progress reports on research to members of the project > and to external audiences. > -Publications to disseminate and share research findings in reputed > conference and journal venues. > - Support in the preparation of grant proposals and funding activities. > -Carry out routine administrative tasks associated with the research > (meetings and documentation) to ensure that tasks are completed on time and > within budget. > -Contribute to and enhance the research activity of the Nueromorphic AI > Lab through interaction with graduates and external collaborators. > -Help update and maintain a project website and other electronic vehicles > for communication of the project outputs. > > The position is funded for up to 3 years with competitive salary and > benefits. The starting date is flexible, with a preference to start in > early Spring 2019. Applications will be considered until the position is > filled. Please check some of our research activities at > https://www.rit.edu/kgcoe/neuro/ > . > Our new lab website is currently being developed. > > To apply, please send your detailed CV (including the contact information > of two references) and a one-page research statement, discussing how your > background fits the requirements and topic to Dr. Dhireesha Kudithipudi, > dk at utsa.edu > -------------- next part -------------- An HTML attachment was scrubbed... URL: From Samuel.Neymotin at nki.rfmh.org Tue Oct 15 22:03:35 2019 From: Samuel.Neymotin at nki.rfmh.org (Neymotin, Samuel (NKI)) Date: Wed, 16 Oct 2019 02:03:35 +0000 Subject: Connectionists: Human Neocortical Neurosolver New Features & SFN 2019 Demos Message-ID: We are happy to announce several exciting developments with the new Human Neocortical Neurosolver (HNN) software designed for cell and circuit interpretation of human EEG/MEG. 1. An updated version of HNN with a new, frequently requested feature of parameter optimization (with a tutorial) is now available. Check it out at hnn.brown.edu. 2. HNN will be presented with live demonstrations at SFN 2019 in Chicago, IL. Sunday October 20th 11-11:30am Carney Booth 2129 Sunday October 20th 6:30-8:30pm BRAIN Initiative Alliance Tools & Technology Social Hyatt Regency McCormick Place, Ballroom CD Monday October 21th 11-11:30am Carney Booth 2129 Monday October 21st 6:45pm Open-Source Technology Social Hyatt Regency McCormick Place, Room N135 Wednesday October 23rd 1-5pm McCormick Place: Hall A. Poster 729.06 3. A HNN methods paper is now available on bioRxiv (Neymotin et al, BioRxiv 2019:740597. https://doi.org/10.1101/740597) ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation. -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.denker at fz-juelich.de Tue Oct 15 07:52:58 2019 From: m.denker at fz-juelich.de (Michael Denker) Date: Tue, 15 Oct 2019 13:52:58 +0200 Subject: Connectionists: Reminder: 1st Elephant User Workshop for Reproducible Data Analysis in Electrophysiology, Paris, Nov 4-6, 2019 Message-ID: <6fcc373b-cf69-e2c6-17fa-ae8bf07a1e5a@fz-juelich.de> Reminder for the ***1st Elephant User Workshop*** --Accelerate Structured and Reproducible Data Analysis in Electrophysiology-- Paris, France Nov 4-6, 2019 Summary: In this workshop, users will be trained in the use of community-driven tools developed in the context of the Human Brain Project to analyze electrophysiological data, such as spike train data or LFP time series. In addition, participants receive help in using their *own data* into such analysis workflows. The topics covered will be: * reading and manipulating electrophysiology data in Python using Neo [1] * analysis of such data using Elephant [2] * best practices for integrating metadata into your workflow to aid the analysis process * best practices for structuring of analysis results * tracking data analysis pipelines using the HBP Knowledge Graph [3] * collaboration and sharing using the HBP Collaboratory [4] For more information and registration, check out: https://www.humanbrainproject.eu/en/education/participatecollaborate/infrastructure-events-trainings/1st-elephant-user-workshop-accelerate-structured-and-reproducibl/ Organizers: Andrew Davison | French National Centre for Scientific Research, France Michael Denker | Forschungszentrum J?lich, Germany Martina Schmalholz | Heidelberg University, Germany References: [1] Neo, https://neo.readthedocs.io [2] Elephant, https://elephant.readthedocs.io [3] HBP Knowledge Graph, https://www.humanbrainproject.eu/en/explore-the-brain/ [4] HBP Collaboratory, https://collab.humanbrainproject.eu ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ From romani.armando at gmail.com Wed Oct 16 09:42:53 2019 From: romani.armando at gmail.com (Armando Romani) Date: Wed, 16 Oct 2019 15:42:53 +0200 Subject: Connectionists: Post-doctoral Researcher in Computational modelling of thalamo-cortical circuits (Blue Brain Porject, Switzerland) Message-ID: Blue Brain Porject (Campus Biotech, Geneva, Switzerland) is looking for a *Post-doctoral Researcher in Computational modelling of thalamo-cortical circuits*. The goal of this project is to leverage the Blue Brain software and existing thalamic models to build and validate biologically-accurate models of thalamo-cortical circuitry. Modelling these circuits is a crucial step to investigate brain functions, such us sensory transmission, sleep rhythms, wakefulness, alertness. The successful candidate would be responsible for gathering data about thalamo-cortical circuits from the literature, open-access datasets and in vitro studies in collaboration with the experimental lab. Interactions with biology and experimental experts would be fundamental to validate and confirm model predictions. In addition, the candidate would provide guidance and scientific expertise to the technical teams and contribute to the on-going refinement of workflows and tools to build data-driven unifying brain tissue models. Furthermore, the candidate will work in collaboration with engineering teams on visualization, high performance computing, data integration and with project managers to define objectives and timelines to achieve overarching objectives and meet aggressive deadlines. Follow the link below to learn more about the position and how to apply. https://recruiting.epfl.ch/Vacancies/827/Description/2 ? Armando Romani, PhD Junior Group Leader - Simulation Neuroscience Division EPFL - Blue Brain Project Campus Biotech Chemin des Mines 9 CH-1202 Geneva, Switzerland Phone +41 (0)21 693 7190 -------------- next part -------------- An HTML attachment was scrubbed... URL: From valentina.ivanova at ri.se Wed Oct 16 10:14:06 2019 From: valentina.ivanova at ri.se (Valentina Ivanova) Date: Wed, 16 Oct 2019 14:14:06 +0000 Subject: Connectionists: [CfP] ESWC 2020 Call for Workshops, Tutorials, Research, Resources and In-Use Papers Message-ID: <9a61f91b6cf2471f83920f7d5734f610@ri.se> The 17th European Semantic Web Conference (ESWC 2020) May 31st - June 4th, 2020, Heraklion, Crete, Greece. ESWC is a premier venue for discussing the latest scientific results and innovations in the field of semantic technologies on the Web and Linked Data, attracting a high number of participants from academia and industry alike. Follow us: Web Page: https://2020.eswc-conferences.org/ Twitter: @eswc_conf Facebook: https://www.facebook.com/ESWCCONF Become part of ESWC 2020 by submitting to the following tracks & activities! * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * In this announcement: ******************************************* 1. Call for Papers - Research, Resources and In-Use Tracks https://2020.eswc-conferences.org/call-for-papers/ 2. Call for Workshops https://2020.eswc-conferences.org/call-for-workshops/ 3. Call for Tutorials https://2020.eswc-conferences.org/call-for-tutorials/ * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Important deadlines: * Paper abstract submission (mandatory): December 4, 2019 * Paper submission: December 11, 2019 * Workshop and Tutorial proposals due: November 21, 2019 * Workshop and Tutorial notification of acceptance: December 1, 2019 (All deadlines are 23:59 anywhere on earth (UTC-12)) * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 1. Call for Papers - Research, Resources and In-Use Tracks ******************************************* ESWC2020 features three main tracks (Research, Resources, In-Use), and recently switched to an open and transparent review policy (see below). This is the first call for papers for each of the main tracks: Further info: * https://2020.eswc-conferences.org/call-for-papers-research-track/ * https://2020.eswc-conferences.org/call-for-papers-resources-track/ * https://2020.eswc-conferences.org/call-for-papers-in-use-track/ Call for Papers ESWC 2020 In-Use Track - 2020 ESWC-Conferences 2020.eswc-conferences.org Semantic technologies are reaching maturity on and off the web. The In-Use track at ESWC 2020 provides a forum for the community to explore the benefits and challenges of applying semantic technologies in concrete, practical applications, in contexts ranging from industry to government and science. We are especially interested in applications that use the emerging ? == Open and Transparent Review Policy == The ESWC 2020 review process will be open, i.e., the papers and reviews will be made web-available, and transparent, i.e., (meta) reviewer names will be made available as well together with the decision process such as the authors? rebuttal. The basic principles are: * All submitted papers, reviews, rebuttals, meta-reviews, and decisions will be publicly posted on the ESWC 2020 web site upon final notification, including reviewer names. Comments, revisions to reviews (aside of the main update after the rebuttal) as well as confidential remarks to SPC will not be published. * The authors can opt in or out of being known by the reviewers reviewers (i.e., submissions can be anonymous) * SPC and PC members will be made public by default after final notification. However, PC members can also explicitly opt-out. * If requested by the authors, papers and their reviews will be removed from the ESWC 2020 Website 4 weeks after the notification deadline. * Reviewers of accepted papers will appear in the header of accepted papers (see here for an example: http://www.semantic-web-journal.net/issues#2018) == Important Dates == Abstract submission (mandatory): December 4, 2019 Paper submission: December 11, 2019 Opening of rebuttal period: January 20, 2020 Closing of rebuttal period: January 24, 2020 Notification to authors: February 19, 2020 Camera ready papers due: March 18, 2020 == Program Chairs == Sabrina Kirrane, Vienna University of Economics and Business, Austria sabrina.kirrane at wu.ac.at Axel Ngonga, Paderborn University, Germany axel.ngonga at upb.de 2. Call for Workshops ******************************************* Co-located workshops at the ESWC conferences are essential meeting points for discussing ongoing work and current results, as well as shaping new ideas and research fields. We particularly invite workshop proposals looking at Semantic Web related topics from an interdisciplinary standpoint, proposals focussing on novel aspects of the Semantic Web and Web of Data, and proposals aiming at gathering existing and forming new sub-communities. We encourage the submission of workshop proposals on: * Fundamental technical and theoretical problems of the Semantic Web / Linked Data and Knowledge Graphs * Applications of Semantic Web technologies in domains such as Mobility and Smart Cities, Life Sciences, Industry 4.0, Earth Science, Digital Humanities, Law, Media, etc. * Key enabling technologies and their adaptation to the needs of the Semantic Web * Aspects of Semantic Web research that have been neglected or underrepresented so far * Techniques and methods from other research fields that are of relevance for Semantic Web research (e.g., artificial intelligence, databases, NLP, big data analytics, machine learning, human computer interaction, information retrieval, web science, etc.) * New emerging topics and areas In particular, we also encourage the submission of workshops that do not follow the typical workshop format of a mini-conference. Further info: https://2020.eswc-conferences.org/call-for-workshops/ == Important Dates == Workshop proposals due: November 21, 2019 Notification of acceptance: December 1, 2019 Workshop website due: December 18, 2019 == Workshop Chairs == Olaf Hartig, Link?ping University, Sweden olaf.hartig at liu.se Katja Hose, Aalborg University, Denmark khose at cs.aau.dk 3. Call for Tutorials ******************************************* ESWC 2020 invites tutorials that address the interests of its varied audience: people new to the Semantic Web, Semantic Web researchers and practitioners that wish to learn new technologies, users of Semantic Web technologies, and representatives of government and funding agencies as well as potential private investors in Semantic Web technologies. We welcome submissions of tutorial proposals on all major topics related to semantic technologies. We especially solicit proposals for tutorials of the following types: * Tutorials with a coherent theme providing an introduction to new semantic technologies, methods, techniques, and trends (e.g. Knowledge Graphs, semantic data integration, reasoning, question answering, ontology-based data access, ontology design principles, provenance and trust, etc.). * Tutorials describing the application of semantic technologies in specific domains (e.g., life sciences, e-government, e-commerce, Industry 4.0, cultural heritage, education, mobile, music). * Tutorials presenting techniques from other fields that are of relevance for Semantic Web research, including social sciences, digital humanities, biomedical research, HCI, Information Retrieval, databases, NLP, Internet of Things, data visualization, etc. While tutorials may focus on theoretical topics, we encourage organizers to incorporate hands-on sessions. The tutorial should reach a good balance between the topic coverage and its relevance to the community. Tutorials can be half-day or full-day. We suggest having up to two presenters for half-day and up to four presenters for full-day tutorials, preferably from different institutions, contributing different perspectives to the tutorial topic. Further info: https://2020.eswc-conferences.org/call-for-tutorials/ == Important Dates == Tutorial proposals due: November 21, 2019 Notification of acceptance: December 1, 2019 Tutorial website due: December 18, 2019 == Tutorial Chairs == Olaf Hartig, Link?ping University, Sweden olaf.hartig at liu.se Katja Hose, Aalborg University, Denmark khose at cs.aau.dk Looking forward to your submissions! The ESWC 2020 Organising Team ( https://2020.eswc-conferences.org/organising-committee/ ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From education at humanbrainproject.eu Thu Oct 17 02:23:01 2019 From: education at humanbrainproject.eu (education at humanbrainproject.eu) Date: Thu, 17 Oct 2019 08:23:01 +0200 Subject: Connectionists: HBP Curriculum Workshop | Modern trends in cognitive architectures and systems: From theory to implementation in natural and artificial agents | 11-13 December 2019 | Glasgow, UK Message-ID: On 11-13 December 2019, the HBP Education Programme will organise a workshop on cognitive systems for non-specialists at the University of Glasgow under the title ?Modern trends in cognitive architectures and systems: From theory to implementation in natural and artificial agents?. Participation in the event is open to the entire scientific community, but especially targets early-career researchers (advanced Master?s students, PhD students and early postdocs). Please find some general information about the workshop and the HBP Curriculum below and in the attached PDF file. HBP Education Programme Office Medical University Innsbruck (MUI) M?llerstra?e 59, 6020 Innsbruck, Austria curriculum.edu at humanbrainproject.eu www.humanbrainproject.eu/education The HBP Curriculum on Interdisciplinary Brain Science combines web-based distance learning courses and complementary face-to-face workshops. It provides basic lessons in the Human Brain Project (HBP) core fields neuroscience, medicine and ICT for early-career researchers outside their area of specialisation, as well as courses on the subjects of ethics and intellectual property rights, translation and exploitation of research. 3rd HBP Curriculum Workshop Series - MODERN TRENDS IN COGNITIVE ARCHITECTURES AND SYSTEMS: FROM THEORY TO IMPLEMENTATION IN NATURAL AND ARTIFICIAL AGENTS 11-13 December 2019, Glasgow, United Kingdom bit.ly/HBPCogSys19 Application deadline: 31 October 2019 In order to understand and implement cognitive systems, recent developments in neuroscience need to be brought together with computational techniques that integrate models and simulations. The goal of this workshop is to provide an overview of the latest developments in the understanding of how the brain works, computes and generates behaviour. Application information & Abstract submission Application is open to the entire student community and early-career researchers, regardless of whether they are affiliated with the Human Brain Project or not. It is aimed to offer equal opportunities for all early-career researchers regardless of gender, age, origin, etc. Share your research with your peers! We invite you to submit an abstract of your current research for poster or oral presentation. Take your chance and qualify for one of our fee waivers for the workshop by submitting an abstract! Participation fee: 250 ? The fee does not include travel and accommodation. Fees will be collected after participants have been selected. Registration fee waivers are available for a limited number participants. Participants can apply for fee waivers prior to the application deadline by sending an email to curriculum.edu at humanbrainproject.eu . Please also check with your supervisor how your institution can support you with regard to expenses for the attendance of the workshops. Further information about organisations offering travel support can also be found on our website . Scientific Chairs Lars Muckli | University of Glasgow Tony Prescott | University of Sheffield Organised by Sylvia A?laber | Medical University Innsbruck Judith Kathrein | Medical University Innsbruck Alejandro Jim?nez-Rodr?guez | University of Sheffield Contact curriculum.edu at humanbrainproject.eu -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Cognitive_Systems_WS_Announcement_190925.pdf Type: application/pdf Size: 50731 bytes Desc: not available URL: -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Wed Oct 16 09:48:12 2019 From: interdonatos at gmail.com (Roberto Interdonato) Date: Wed, 16 Oct 2019 15:48:12 +0200 Subject: Connectionists: CfP: "Reloading Feature-rich Information Networks", Special Issue of IEEE Transactions on Network Science and Engineering Message-ID: CALL FOR PAPERS IEEE Transactions on Network Science and Engineering Special Issue on "Reloading Feature-rich Information Networks" GUEST EDITORS: Sabrina Gaito, Universit? degli Studi di Milano, Italy (gaito at di.unimi.it) Roberto Interdonato, CIRAD - UMR TETIS, Montpellier, France (roberto.interdonato at cirad.fr) Tsuyoshi Murata, Tokyo Institute of Technology, Japan (murata at c.titech.ac.jp) Alessandra Sala, Nokia Bell Labs, Dublin, Ireland (alessandra.sala at nokia-bell-labs.com) Andrea Tagarelli, University of Calabria, Italy (andrea.tagarelli at unical.it) My T. Thai, University of Florida, USA (mythai at cise.u.edu) TOPIC SUMMARY: The growing availability of multi-faceted relational data gives rise to unprecedented opportunities for unveiling complex real-world behaviors and phenomena. This also supports the proliferation of complex network models where the expressive power of the graph-based relational structure is enhanced through exposing several types of features that are peculiar of the domain-specific environment (e.g., social media platforms, biological environment, geographical location, etc.). Examples of this kind of feature-rich networks include Heterogeneous information networks, Multilayer networks, Temporal networks, Location-aware networks, and Probabilistic networks. The aim of this Special Issue, titled "Reloading Feature-rich Information Networks", is to address challenging issues and emerging trends in feature-rich information networks that can be mined in several domains, including not only long studied contexts such as social media and biology, but also less investigated or even new frontiers for network science, such as finance, engineering, archaeology, geology, astronomy, and many others. Although the use of feature-rich networks can intuitively be perceived as beneficial for most research tasks based on graph data, their expressive power has not been yet fully valued in most domains, therefore there is an emergence for providing insights into how the study of complex network models can pave the way for solving domain-specific problems that might not be adequately addressed by existing graph models. Within this view, we solicit contributions on advanced modeling and mining of feature-rich networks, regarding any data domain, including both theoretical and application-oriented studies. In particular, we encourage contributions on the development of novel approaches based on advanced optimization techniques and learning paradigms (e.g., online learning, reinforcement learning, and deep learning) to enhance our understanding of complex phenomena in information networks, but also visionary works about alternative modeling and mining approaches for complex networks. The topics of interest for this special issue include, but are not limited to: _ Foundations of Learning and Mining in feature-rich networks _ Simplification/pruning/sampling of feature-rich networks _ Embedding and Deep Learning in feature-rich networks _ Centrality and Ranking in feature-rich networks _ Vertex similarity in multiplex and feature-rich networks _ Community Detection in feature-rich networks _ Link Prediction in feature-rich networks _ Multiplex and feature-rich networks evolution models _ Ensemble learning for feature-rich networks mining _ Pattern mining in feature-rich networks _ User Behavior Modeling in feature-rich networks _ Influence propagation in feature-rich networks _ Reputation and Trust computing in feature-rich networks _ Probabilistic and Uncertain feature-rich networks _ Time-evolving feature-rich networks _ Hypergraph-based modeling, analysis and learning problems _ Cross-Domain problems in feature-rich networks _ Mobility in feature-rich networks _ Visualization of feature-rich networks IMPORTANT DATES: ? Manuscripts due: December 2, 2019 ? Peer reviews to authors: February 15, 2020 ? 1st round revised manuscripts due: March 15, 2020 ? 2nd round reviews to authors: April 30, 2020 ? 2nd round revised manuscripts due: May 30, 2020 ? Final notifications from editors: June 30, 2020 ? Final accepted manuscripts due: July 10, 2020 SUBMISSION GUIDELINES: Prospective authors are invited to submit their manuscripts electronically, adhering to the IEEE Transactions on Network Science and Engineering guidelines ( https://www.comsoc.org/publications/journals/ieee-tnse/ieee-transactions-network-science-and-engineering-information ). Note that the page limit is the same as that of regular papers. Please submit your papers through the online system ( https://mc.manuscriptcentral.com/tnse-cs) and be sure to select the special issue or special section name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal. If requested, abstracts should be sent by e-mail to the Guest Editors directly. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jbaimon at sandia.gov Wed Oct 16 12:40:44 2019 From: jbaimon at sandia.gov (Aimone, James Bradley) Date: Wed, 16 Oct 2019 16:40:44 +0000 Subject: Connectionists: Neuro-inspired Computational Elements (NICE) 2020 web page and call for papers, March 17-20 2020 Message-ID: Dear Colleagues, The call for papers for NICE 2020 is open! NICE focuses on the intersection of neuroscience and computing, and we encourage submissions looking at any aspect of theoretical neuroscience, brain-inspired AI, and neuromorphic computing. NICE 2020 will be March 17-20 in Heidelberg, Germany - our current website (with videos for the past seven meetings) and call for papers (due date Nov.1 2019) are below: https://niceworkshop.org/nice-2020/ https://easychair.org/cfp/NICE_2020 We hope to see you in Heidelberg for the next NICE conference. Best, Brad Aimone -------------- next part -------------- An HTML attachment was scrubbed... URL: From romani.armando at gmail.com Thu Oct 17 02:12:25 2019 From: romani.armando at gmail.com (Armando Romani) Date: Thu, 17 Oct 2019 08:12:25 +0200 Subject: Connectionists: Post-doctoral Researcher in Computational modelling of hippocampal circuits (Blue Brain Porject, Switzerland) Message-ID: Blue Brain Porject (Campus Biotech, Geneva, Switzerland) is looking for a *Post-doctoral Researcher in Computational modelling of hippocampal circuits*. Improve the existing large-scale models of rodent hippocampus. The current network models are already the product of several iterations and their emergent behavior can reproduce many features of the hippocampus. The work on the models continues by expanding the region of interest from CA1 (the first region we considered) to the full hippocampus, and eventually by connecting the hippocampus to the rest of the brain. In parallel, the models will include more or more details. For example, we are working on including gap junctions, long-term plasticity, structural plasticity, neuromodulation, glia, vasculature, and so on. Exploit the models to answer outstanding questions in the field, such as information processing in the hippocampus, spatial navigation, memory processes, development of pathological conditions (Alzheimer?s disease, epilepsy). The models are designed not to answer one specific question, but for a general purpose. This ensures a larger validity of the models and allows us to potentially test many different hypotheses and make likewise predictions. Follow the link below to learn more about the position and how to apply. https://recruiting.epfl.ch/Vacancies/1005/Description/2 ? Armando Romani, PhD Junior Group Leader - Simulation Neuroscience Division EPFL - Blue Brain Project Campus Biotech Chemin des Mines 9 CH-1202 Geneva, Switzerland Phone +41 (0)21 693 7190 -------------- next part -------------- An HTML attachment was scrubbed... URL: From education at humanbrainproject.eu Thu Oct 17 02:12:16 2019 From: education at humanbrainproject.eu (education at humanbrainproject.eu) Date: Thu, 17 Oct 2019 08:12:16 +0200 Subject: Connectionists: 1st Elephant User Workshop: Accelerate Structured and Reproducible Data Analysis in Electrophysiology | 4-6 November 2019 | Paris, France Message-ID: <3634E3CA-13FA-421E-B4FA-7F2865517F7C@humanbrainproject.eu> 1st Elephant User Workshop: Accelerate Structured and Reproducible Data Analysis in Electrophysiology 4-6 November 2019 | Paris, France Registration deadline: 28 October 2019 https://www.humanbrainproject.eu/en/education/participatecollaborate/infrastructure-events-trainings/1st-elephant-user-workshop-accelerate-structured-and-reproducibl/ In recent years it has become clear that the rapid technological, methodological and theoretical advances in neuroscience pose a challenge for scientific reproducibility. The degree of complexity when working with data from electrophysiological experiments has reached a level where workflows for data and metadata acquisition, pre-processing, and subsequent analysis must be carefully planned, well structured, and their execution carefully tracked. Recent years have seen the development of tools to support such workflows, yet an active community, a vibrant exchange of ideas and hands-on training is required to bring these tools into laboratories while at the same time improving the tools through a process of co-design. In this workshop, users will be trained in the use of community-driven tools developed in the context of the Human Brain Project, and supported in integrating them into their own data analysis workflow. The topics covered will be: reading and manipulating electrophysiology data in Python using Neo analysis of such data using Elephant best practices for integrating metadata into your workflow to aid the analysis process best practices for structuring of analysis results tracking data analysis pipelines using the HBP Knowledge Graph collaboration and sharing using the HBP Collaboratory Theresa Rass HBP Education Programme Project Manager - Targeted Engagement and Knowledge Transfer Medical University Innsbruck (MUI) M?llerstra?e 59, 6020 Innsbruck, Austria Phone Office: +43 512 9003 71246 Mobile Phone: +43 676 871672246 Email: education at humanbrainproject.eu Follow us on Twitter, Facebook and LinkedIn! Keep up with the Education Programme?s latest news, event information, job offers, videos and more. Share our news with your friends and colleagues to help spreading our education and training opportunities throughout the international research community. Where to follow: Twitter: @HBP_Education Facebook: @hbpeducation LinkedIn: HBP Education Programme -------------- next part -------------- An HTML attachment was scrubbed... URL: From romani.armando at gmail.com Wed Oct 16 09:43:32 2019 From: romani.armando at gmail.com (Armando Romani) Date: Wed, 16 Oct 2019 15:43:32 +0200 Subject: Connectionists: Post-doctoral Researcher in Computational modelling of hippocampal circuits (Blue Brain Porject, Switzerland) Message-ID: Blue Brain Porject (Campus Biotech, Geneva, Switzerland) is looking for a *Post-doctoral Researcher in Computational modelling of hippocampal circuits*. Improve the existing large-scale models of rodent hippocampus. The current network models are already the product of several iterations and their emergent behavior can reproduce many features of the hippocampus. The work on the models continues by expanding the region of interest from CA1 (the first region we considered) to the full hippocampus, and eventually by connecting the hippocampus to the rest of the brain. In parallel, the models will include more or more details. For example, we are working on including gap junctions, long-term plasticity, structural plasticity, neuromodulation, glia, vasculature, and so on. Exploit the models to answer outstanding questions in the field, such as information processing in the hippocampus, spatial navigation, memory processes, development of pathological conditions (Alzheimer?s disease, epilepsy). The models are designed not to answer one specific question, but for a general purpose. This ensures a larger validity of the models and allows us to potentially test many different hypotheses and make likewise predictions. Follow the link below to learn more about the position and how to apply. https://recruiting.epfl.ch/Vacancies/1005/Description/2 ? Armando Romani, PhD Junior Group Leader - Simulation Neuroscience Division EPFL - Blue Brain Project Campus Biotech Chemin des Mines 9 CH-1202 Geneva, Switzerland Phone +41 (0)21 693 7190 -------------- next part -------------- An HTML attachment was scrubbed... URL: From poirazi at imbb.forth.gr Wed Oct 16 10:30:31 2019 From: poirazi at imbb.forth.gr (Yiota Poirazi) Date: Wed, 16 Oct 2019 17:30:31 +0300 Subject: Connectionists: Postdoctoral position on computational modelling: interfacing models with nanoarrays to drive cultured neurons Message-ID: 1-2 Postdoctoral positions are available in the lab of Panayiota Poirazi ( www.dendrites.gr) in Crete, starting on January 1st, 2020. The positions are for 2 years, with a possibility of renewal for another 2 years. Salary is commensurate with experience. The successful applicant will work on a multi-disciplinary project funded by the FET (Future and Emerging Technologies) Open Instrument of the European Innovation Council. The NEUREKA project aims to develop a new prototype technology that can be used for drug discovery for neurological diseases. In this new hybrid technology, computational neuronal networks that simulate dysfunction will drive cultured neurons to replicate neuropathologies. A proof-of-concept will be provided for Alzheimer?s disease, using human (iPSC)-derived neurons while testing the effects of novel drug candidates. The NEUREKA partners include the University of Padua (Prof. Vassanelli), CNRS (Prof. Larrieu), the University of Milano Bicocca (Prof. Fanciulli) and Maxwell Biosystems. Pharma advisors include Roche and Cognition Therapeutics Inc. For more information please visit: http://www.dendrites.gr/en/openings-11 Applications (full CV, statement of research interest and name and contact of 2-3 referees) should be sent by e-mail to poirazi at imbb.forth.gr, quoting ?NEUREKA: Postdoctoral position? in the subject line. The deadline for applications is *November 30th, 2019*. Applications will be examined until the position is filled. Informal enquiries are welcome. -- Panayiota Poirazi, Ph.D. Research Director Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete GREECE Tel: +30 2810 391139 Fax: +30 2810 391101 ?mail: poirazi at imbb.forth.gr Lab site: www.dendrites.gr -------------- next part -------------- An HTML attachment was scrubbed... URL: From somidshafiei at google.com Thu Oct 17 03:37:43 2019 From: somidshafiei at google.com (Shayegan Omidshafiei) Date: Thu, 17 Oct 2019 09:37:43 +0200 Subject: Connectionists: Call for papers: AAAI Spring Symposium on Challenges and Opportunities for Multi-Agent Reinforcement Learning (COMARL) Message-ID: AAAI Spring Symposium on Challenges and Opportunities for Multi-Agent Reinforcement Learning (COMARL) March 23-25 2020, Stanford University in Palo Alto, California, USA. https://sites.google.com/corp/view/comarl-aaai-2020/ Key Dates: Submission: Submission: November 1st, 2019, 23:59 GMT Notification: December 6th, 2019 Symposium: March 23-25 2020 Call for position papers to define a topic of study at the symposium: We live in a multi-agent world and to be successful in that world intelligent agents will need to learn to take into account the agency of others. They will need to compete in market places, cooperate in teams, communicate with others, coordinate their plans, and negotiate outcomes. Examples include self-driving cars interacting in traffic, personal assistants acting on behalf of humans and negotiating with other agents, swarms of unmanned aerial vehicles, financial trading systems, robotic teams, and household robots. There has been a lot of great work on multi-agent reinforcement learning (MARL) in the past decade, but significant challenges remain, including: - the difficulty of learning an optimal model/policy from a partial signal, - learning to cooperate/compete in non-stationary environments with distributed, simultaneously learning agents, - the interplay between abstraction and influence of other agents, - the exploration vs. exploitation dilemma, - the scalability and effectiveness of learning algorithms, - avoiding social dilemmas, and - learning emergent communication. The purpose of this symposium is to bring together researchers in multiagent reinforcement learning, but also more widely machine learning and multiagent systems, to explore some of these and other challenges in more detail. The main goal is to broaden the scope of MARL research and to address the fundamental issues that hinder the applicability of MARL for solving complex real world problems. We aim to organize an active workshop, with many interactive (brainstorm/breakout) sessions. We are hopeful that this will form the basis for ongoing collaborations on these challenges between the attendants and we aim for several position papers as concrete outcomes. Authors can submit papers of 1-4 pages that will be reviewed by the organizing committee. We are looking for position papers that present a challenge or opportunity for MARL research, which should be on a topic the authors not only wish to interact on but also ?work? on with other participants during the symposium. We also welcome (preliminary) research papers that describe new perspectives to dealing with MARL challenges, but we are not looking for summaries of current research---papers should clearly state some limitation(s) of current methods and potential ways these could be overcome. Submissions will be handled through easychair. Organizing Committee: Christopher Amato, Northeastern University Frans Oliehoek, Delft University of Technology Shayegan Omidshafiei, Google DeepMind Karl Tuyls, Google DeepMind -------------- next part -------------- An HTML attachment was scrubbed... URL: From romani.armando at gmail.com Thu Oct 17 02:11:41 2019 From: romani.armando at gmail.com (Armando Romani) Date: Thu, 17 Oct 2019 08:11:41 +0200 Subject: Connectionists: Post-doctoral Researcher in Computational modelling of thalamo-cortical circuits (Blue Brain Porject, Switzerland) Message-ID: Blue Brain Porject (Campus Biotech, Geneva, Switzerland) is looking for a *Post-doctoral Researcher in Computational modelling of thalamo-cortical circuits*. The goal of this project is to leverage the Blue Brain software and existing thalamic models to build and validate biologically-accurate models of thalamo-cortical circuitry. Modelling these circuits is a crucial step to investigate brain functions, such us sensory transmission, sleep rhythms, wakefulness, alertness. The successful candidate would be responsible for gathering data about thalamo-cortical circuits from the literature, open-access datasets and in vitro studies in collaboration with the experimental lab. Interactions with biology and experimental experts would be fundamental to validate and confirm model predictions. In addition, the candidate would provide guidance and scientific expertise to the technical teams and contribute to the on-going refinement of workflows and tools to build data-driven unifying brain tissue models. Furthermore, the candidate will work in collaboration with engineering teams on visualization, high performance computing, data integration and with project managers to define objectives and timelines to achieve overarching objectives and meet aggressive deadlines. Follow the link below to learn more about the position and how to apply. https://recruiting.epfl.ch/Vacancies/827/Description/2 ? Armando Romani, PhD Junior Group Leader - Simulation Neuroscience Division EPFL - Blue Brain Project Campus Biotech Chemin des Mines 9 CH-1202 Geneva, Switzerland Phone +41 (0)21 693 7190 -------------- next part -------------- An HTML attachment was scrubbed... URL: From jsmagnuson at gmail.com Thu Oct 17 13:31:15 2019 From: jsmagnuson at gmail.com (Jim Magnuson) Date: Thu, 17 Oct 2019 13:31:15 -0400 Subject: Connectionists: Postdoc: computational neuroscience of human speech recognition Message-ID: *Postdoctoral Research Associate Computational neuroscience of human speech recognition*Profs. James Magnuson and Jay Rueckl at the University of Connecticut, Department of Psychological Sciences, seek a postdoctoral research associate for a project focused on computational approaches to understanding the cognitive and neurobiological bases of human speech recognition. Our primary objective is bridging the gap between current cognitive models of human speech processing (such as TRACE) and cutting-edge deep learning models used for automatic speech recognition. The postdoctoral research associate will contribute to this project by playing a leading role in our computational work (devising, developing, and testing neural network models, and comparing them to human behavior and neurobiology), while having room to lead new projects related to this theme. The University of Connecticut (UConn) is home to a vibrant, interdisciplinary community of researchers in the brain and cognitive sciences, including more than a dozen labs with primary focus on language. UConn and the Magnuson and Rueckl labs are committed to increasing diversity in the STEM workforce. *MINIMUM QUALIFICATIONS* ? PhD in psychology, neuroscience, linguistics, computer science, engineering, or a related field ? High level of expertise in Python and R ? Strong record of research (as demonstrated by presentations and publications) ? Evidence of ability to complete projects ? Evidence of strong writing skill *PREFERRED QUALIFICATIONS* ? Experience with TensorFlow ? Experience with another framework for neural network modeling ? Experience with Java or other programming languages ? Training and experience in empirical research with human subjects ? Hardware proficiency (e.g., ability to select components for and assemble a workstation for deep learning) *APPOINTMENT TERMS* Start date for this position is anticipated for Fall, 2019, or early 2020. The position is for an initial one-year appointment and is potentially renewable until June, 2021. Continuation beyond June, 2021 is contingent upon future external funding applications. Salary for this position will be determined by NIH guidelines ($50,004 annually minimum). *TO APPLY* Please apply online via UConn Jobs (https://hr.uconn.edu/jobs/), Staff positions, Search #2020123. For full consideration, candidates should submit a resume or CV, a personal statement describing their research interests and goals, and up to three supplemental PDF documents that reflect their academic writing (e.g., journal publications, Master's thesis, or dissertation). Three letters of recommendation should be emailed directly from letter writers to Dr. James Magnuson (james.magnuson at uconn.edu). Screening of applicants will begin immediately. Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check. (Search #2020123) This job posting is scheduled to be removed at 11:59 p.m. on November 15, 2019. All employees are subject to adherence of the State Code of Ethics, which may be found at http://www.ct.gov/ethics/site/default.asp. ------------------------------ *The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty, and staff. The diversion of students, faculty, and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University's teaching, research, diversity, and outreach missions, leading to UConn's ranking as one of the nation's top research universities. UConn's faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities, and members of traditionally underrepresented populations. * ------------------------------ James S. Magnuson -- website -- 860.486.3525 -- james.magnuson at uconn.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.biehl at rug.nl Fri Oct 18 07:30:36 2019 From: m.biehl at rug.nl (Michael Biehl) Date: Fri, 18 Oct 2019 13:30:36 +0200 Subject: Connectionists: e-print available: ReLU vs. sigmoidal activation Message-ID: Dear Connectionists. We have compared the use of ReLU and sigmoidal activations in layered neural networks, using methods from the statistical physics of learning. Our analysis reveals fundamental differences in training and generalization behavior even in simple, shallow systems. A corresponding e-print is available at https://arxiv.org/abs/1910.07476: *Hidden Unit Specialization in Layered Neural Networks: ReLU vs. Sigmoidal Activation* Elisa Oostwal, Michiel Straat, Michael Biehl Abstract: We study layered neural networks of rectified linear units (ReLU) in a modelling framework for stochastic training processes. The comparison with sigmoidal activation functions is in the center of interest. We compute typical learning curves for shallow networks with K hidden units in matching student teacher scenarios. The systems exhibit sudden changes of the generalization performance via the process of hidden unit specialization at critical sizes of the training set. Surprisingly, our results show that the training behavior of ReLU networks is qualitatively different from that of networks with sigmoidal activations. In networks with K >= 3 sigmoidal hidden units, the transition is discontinuous: Specialized network configurations co-exist and compete with states of poor performance even for very large training sets. On the contrary, the use of ReLU activations results in continuous transitions for all K: For large enough training sets, two competing, differently specialized states display similar generalization abilities, which coincide exactly for large networks in the limit K to infinity. ---------------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 www.cs.rug.nl/~biehl m.biehl at rug.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From R.Borisyuk at plymouth.ac.uk Sun Oct 20 17:54:29 2019 From: R.Borisyuk at plymouth.ac.uk (Roman Borisyuk) Date: Sun, 20 Oct 2019 21:54:29 +0000 Subject: Connectionists: Postdoctoral Position in Computational Neuroscience, University of Exeter, UK Message-ID: The University of Exeter, UK is looking for a postdoctoral Research Fellow in computational modelling of central pattern generators. This 3-year project in collaboration with neurobiologists from the University of St Andrews is funded by BBSRC. Vertebrate neural circuits are not fixed into producing a single behaviour. They can dynamically change their activity to respond appropriately to changing situations. This project asks how networks can switch between different behaviours. Specifically, you will investigate the dynamic transition between rhythmic activity patterns in the spinal cord circuits of the tadpole. To do so you will develop reduced and detailed computational models of the tadpole neural circuits that produce swimming and struggling behaviours. You will use reduced models to analyse the dynamic transition between swimming and struggling and determine how coordination among oscillatory circuits changes at the transition. You will also build detailed models (both anatomical and functional) to determine how the intrinsic characteristics of the neurons and the network properties together produce each behaviour. You will be supported by our experimental collaborators who have determined neuronal properties and network connectivity with an exquisite level of detail. Predictions from your model simulations will be tested experimentally using an array of electrophysiology and imaging tools. The tadpole central pattern generators offer a unique system to ask how vertebrate networks can produce and switch between different behaviours: they are complex enough to generate different behaviours, but simple enough that we have detailed information to ground our models. For more information about this job and to apply, please follow the link https://jobs.exeter.ac.uk and enter keyword 70011 Enquiries: Dr Joel Tabak - j.tabak at exeter.ac.uk Prof Roman Borisyuk - r.m.borisyuk at exeter.ac.uk, r.borisyuk at plymouth.ac.uk ________________________________ [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, University of Plymouth accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. University of Plymouth 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. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ryschaeffer at ucdavis.edu Sun Oct 20 13:23:46 2019 From: ryschaeffer at ucdavis.edu (Rylan Schaeffer) Date: Sun, 20 Oct 2019 13:23:46 -0400 Subject: Connectionists: Navigation and Adaptive Behavior Benchmarks for Robots In-Reply-To: References: Message-ID: Good afternoon Professor Krichmar, Could you point me towards a recent, high quality review of SLAM algorithms and their performance on benchmarks? Thanks! Rylan On Tue, Oct 8, 2019, 08:57 Jeff Krichmar wrote: > Dear Connectionists, > > These days it seems to be important to test new ideas against existing > benchmarks. In the area of robot navigation, I am struggling to think of > benchmarks that go beyond the typical SLAM benchmarks for accuracy. I am > particularly interested in situations where the robot needs to adapt its > navigation strategies based on perturbations or other stimuli. > > Does anyone have suggestions for benchmarks along these lines? > > Thank you, > > Jeff Krichmar > Department of Cognitive Sciences > 2328 Social & Behavioral Sciences Gateway > University of California, Irvine > Irvine, CA 92697-5100 > jkrichma at uci.edu > http://www.socsci.uci.edu/~jkrichma > > > > > > -------------- next part -------------- An HTML attachment was scrubbed... URL: From papaleon at sch.gr Sun Oct 20 16:41:00 2019 From: papaleon at sch.gr (Papaleonidas Antonis) Date: Sun, 20 Oct 2019 23:41:00 +0300 Subject: Connectionists: 21st EANN 2020 @ Halkidiki, Greece - Call for Papers References: Message-ID: <000801d58786$af3f0d10$0dbd2730$@sch.gr> 21st EANN 2020, 5 - 7 June 2020 @ Porto Caras Grand Resort, Halkidiki - Greece CALL FOR PAPERS for 21st EANN @ Halkidiki, Greece Dear Colleagues We would like to invite you to submit your work at the 21st International Conference on Engineering Applications of Neural Networks ( EANN2020) 21st Conference on Engineering Applications of Neural Networks, EANN 2020, is organized by the INNS (International Neural Network Society). It is going to be co-organized as a Joint event with the 16th AIAI 2020 (Artificial Intelligence Applications and Innovations) organized by IFIP Artificial Intelligence Applications WG12.5 www.eann2020.eu SPECIAL ISSUES - PROCEEDINGS: Selected papers will be published in 3 special issues of high quality international scientific Journals * International Journal of Neural Systems, Impact factor 6.4 World Scientific https://www.worldscientific.com/worldscinet/ijns * Neural Computing and Applications, Springer Impact Factor 4.213 https://link.springer.com/journal/521 * Special Issue of the Evolving Systems Journal (SPRINGER) https://link.springer.com/journal/12530 PROCEEDINGS will be published by SRINGER INNS (International Neural Networks Society) book series and INDEXED to the WEB OF SCIENCE and DBLP. Papers submissions will be up to 12 pages long and not less than 6 pages. IMPORTANT DATES: * Paper Submission Deadline: 29th of February 2020 * Notification of Acceptance: 22nd of March 2020 * Camera ready / Registration Deadline: 2nd of April 2020 * Special Sessions - Workshops PROPOSALS Deadline: 8th of December 2019 * Conference: 5 - 7 of June 2020 VENUE: PORTO CARRAS GRAND Resort & Golf club in the exotic Greek Sithonia Peninsula of Halkidiki, Greece. Special Half Board prices have been arranged for the conference delegates in the Porto Carras Grand Resort. For details please see: http://www.eann2020.eu/reservations/ KEYNOTE SPEAKERS: Six distinguished Keynote speakers will offer Plenary Lectures on hot Artificial Intelligence Topics. 1. Professor Leontios Hadjileontiadis. Aristotle University of Thessaloniki, Greece, Coordinator of i-PROGNOSIS ( http://www.i-prognosis.eu/). Title will be announced soon. 2. Professor Hojjat Adeli. Ohio State University, Columbus, USA, Fellow of the Institute of Electrical and Electronics Engineers (IEEE). Honorary Professor of Southeast University, Nanjing, China. Member of Polish and Lithuanian Academy of Sciences. Elected corresponding member of the Spanish Royal Academy of Engineering. Title: Machine Learning: A Key Ubiquitous Technology in the 21st Century 3. Dr. Pierre Philippe Mathieu. European Space Agency (ESA) Head of the Philab (? Lab) Explore Office at the European Space Agency in ESRIN (Frascati, Italy. Title: The Rise of Artificial Intelligence for Earth Observation (AI4EO) 4. Professor Eunika Mercier-Laurent. Universit? de Reims Champagne-Ardenne, Reims, France Head of the IFIP Technical Committee 12 (Artificial Intelligence). Title: Over 30 years of AI applications ? what feedback for future applications? 5. Professor Xiao-Jun Wu. Department of Computer Science and Technology Jiangnan University, China. Title: Image Fusion Based on Deep Learning 6. Professor Nikola Kasabov. FIEEE, FRSNZ, Fellow INNS College of Fellows, DVF RAE UK Director, Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Auckland, New Zealand, Advisory/Visiting Professor SJTU and CASIA China, RGU UK. Title: Deep Learning, Knowledge Representation and Transfer with Brain-Inspired Spiking Neural Network Architecture Conference topics, CFPs and submissions details can be found at: * www.eann2020.eu/call-for-papers/ * www.eann2020.eu/paper-submission/ We are expecting Submissions on all topics related to Artificial and Computational Intelligence and their Applications. Detailed Guidelines on the Topics and the submission details can be found at the links above General co-Chairs: * Chrisina Jayne, Teesside University, United Kingdom * Vera Kurkova, Czech Academy of Sciences, Czech Republic * Plamen Angelov, Lancaster University, Fellow of the IEEE, of the IET and of the HEA, Vice President of the International Neural Networks Society (INNS) for Conference and Governor of the Systems, Man and Cybernetics Society of the IEEE Program co-Chairs: * Lazaros Iliadis, School of Engineering, Democritus University of Thrace, Greece * Ilias Maglogiannis, University of Piraeus, Greece * Elias Pimenidis, University of the West of England, United Kingdom *** Apologies for cross-posting *** Dr Papaleonidas Antonios Publication Chair of EANN 2020 Civil Engineering Department Democritus University of Thrace papaleon at civil.duth.gr -------------- next part -------------- An HTML attachment was scrubbed... URL: From s.caspers at fz-juelich.de Mon Oct 21 11:07:29 2019 From: s.caspers at fz-juelich.de (Caspers, Svenja) Date: Mon, 21 Oct 2019 15:07:29 +0000 Subject: Connectionists: =?utf-8?q?PhD_position_at_University_of_D=C3=BCss?= =?utf-8?q?eldorf_=28Germany=29_/_Research_Centre_J=C3=BClich?= Message-ID: The Institute for Anatomy I, University of D?sseldorf (Germany) together with the Connectivity Group of the Institute of Neuroscience and Medicine (INM-1), Research Centre J?lich within the Helmholtz Association (Germany) (joint lead: Prof. Dr. Svenja Caspers) is seeking applications for a PhD Position on a topic of white-matter integrity of the brain and air pollution The Institute for Anatomy I together with the Connectivity Group focuses on the investigation of brain variability throughout the life span in relation to environmental and genetic factors, with a particular focus on the aging brain, at this taking advantage of large population-based cohorts who underwent MR neuroimaging (e.g. UK Biobank, German National Cohort, Human Connectome Project, 1000BRAINS). These efforts are part of current projects within the Human Brain Project (HBP). Within this particular project funded by the German Research Foundation (DFG), the relevance of air pollution on white-matter integrity of the brain will be investigated conjointly with the Helmholtz Centre for Health and Environment in Munich. The successful candidate holds a master?s degree in neuroscience, computer science, psychology, medicine or related fields. Experience with processing and analyses of MR neuroimaging data is highly desirable. Knowledge about advanced statistics (e.g. clustering methods) and a strong interest in applying new methods to MR imaging data, e.g. from the field of pattern recognition, would be valuable. Very good command of English is expected. The applicant will become part of an interdisciplinary team of PostDocs, PhD and MD students with various backgrounds. He / she will have ample possibilities to expand his / her own knowledge and expertise and interact and collaborate with colleagues from different fields, including big data analytics, genetics, and epidemiology. With our group closely collaborating with the J?lich Supercomputing Center, the applicant will have access to high-performance computing clusters for efficient and novel analyses approaches. Funding for the position is available for three years. Applications will continue to be received until the position is filled. Please send your comprehensive application, including CV, copies of relevant certificates and either reference letters or names of two potential references to Prof. Dr. Svenja Caspers (s.caspers at fz-juelich.de). ============================== Univ.-Prof. Dr. med. Dr. rer. pol. Svenja Caspers Direktorin Institut f?r Anatomie I Heinrich-Heine-Universit?t D?sseldorf 40221 D?sseldorf (Deutschland) Tel.: 0211-8112678 Email: svenja.caspers at hhu.de svenja.caspers at med.uni-duesseldorf.de und Arbeitsgruppe Konnektivit?t Institut f?r Neurowissenschaften und Medizin (INM-1) Forschungszentrum J?lich GmbH 52425 J?lich (Deutschland) Tel.: 02461-611742 Email: s.caspers at fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From pubconference at gmail.com Tue Oct 22 13:46:38 2019 From: pubconference at gmail.com (Pub Conference) Date: Tue, 22 Oct 2019 13:46:38 -0400 Subject: Connectionists: CFP - ICACI2020, Dali, Yunnan, China, March 14-16, 2020 (SCIE Special Issue) Message-ID: *Call for Papers* *https://conference.cs.cityu.edu.hk/icaci/ * The 12th International Conference on Advanced Computational Intelligence (ICACI2020) will be held in Dali, Yunnan, China during March 14-16, 2020, following the successes of previous events. Situated between Cangshan Mountain and Erhai Lake in southwestern China, in the site of ancient Nanzhao Kingdom (738-937AD) and Dali Kingdom (937-1253AD) as an entry in the tentative list of UNESCO World Heritages, Dali is a multicultural city and an autonomous prefecture with many ethnic minorities living there for thousands of years. The conference will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. ICACI2020 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The conference will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. Prospective authors are invited to contribute high-quality papers to ICACI2020. In addition, proposals for special sessions within the technical scopes of the symposium are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers. Researchers interested in organizing special sessions are invited to submit formal proposals to ICACI2020. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information and brief biographical information on the organizers. Authors are invited to submit full-length papers (8 pages maximum) by the submission deadline through the online submission system. Potential organizers are also invited to enlist five or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take consideration of the referees' comments and suggestions. The Proceedings has been contracted to be included in IEEExplore Digital Library and submitted for EI indexing (IEEE Catalog number: CFP2040J-CDR and ISBN: 978-1-7281-4247-0). Selected good papers will be published in special issues of SCI/SCIE journals such as International Journal of Computational Intelligence Systems. Timeline ------------------------------ Special session proposals deadline November 1, 2019 Paper submission December 1, 2019 Notification of acceptance January 1, 2020 Camera-ready copy and author registration February 1, 2020 Conference March 14 - 16, 2020 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ruth.urner at gmail.com Tue Oct 22 21:26:41 2019 From: ruth.urner at gmail.com (Ruth Urner) Date: Tue, 22 Oct 2019 21:26:41 -0400 Subject: Connectionists: Tenure-track faculty position in AI/ML/Vision at York University, Toronto Message-ID: We have an opening for a tenure track assistant professorship with focus area in *Artificial Intelligence/Machine Learning/Computer Vision* at York University's Electrical Engineering and Computer Science Department in the Lassonde School of Engineering in Toronto, Canada. We will also consider exceptional applicants in other areas of computer science. The call with more information about our school, the position and the application process can be found here: https://lassonde.yorku.ca/eecs-aimachine-learningcomputer-vision For full consideration we need to have received your complete application materials by *November 15, 2019**.* -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Tue Oct 22 18:24:17 2019 From: terry at salk.edu (Terry Sejnowski) Date: Tue, 22 Oct 2019 15:24:17 -0700 Subject: Connectionists: NEURAL COMPUTATION - November 1, 2019 In-Reply-To: <199607091659.JAA23546@helmholtz.salk.edu> Message-ID: Neural Computation - Volume 31, Number 11 - November 1, 2019 Available online for download now: http://www.mitpressjournals.org/toc/neco/31/11 http://cognet.mit.edu/content/neural-computation Article A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition Ahmadreza Ahmadi, Jun Tani Letters On Functions Computed on Trees Roozbeh Farhoodi, Khashayar Filom, Ilenna Simone Jones, and Konrad Paul Kording Integrating Flexible Normalization Into Mid-Level Representations of Deep Convolutional Neural Networks Luis Gonzalo Sanchez Giraldo, Odelia Schwartz Capturing the Forest but Missing the Trees: Microstates Inadequate for Characterizing Shorter-scale EEG Dynamics Saurabh Bhaskar Shaw, Kiret Dhindsa, James P Reilly, and Suzanna Becker Dynamic Integrative Synaptic Plasticity Explains the Spacing Effect in the Transition From Short- to Long-Term Memory Terry Elliott Mutual Inhibition With Few Inhibitory Cells via Nonlinear Inhibitory Synaptic Interaction Felix Weissenbergerc, Marcelo Matheus Gauy, Xun Zuo, and Angelika Steger Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning Xin Yao, Tianchi Huang, Chenglei Wu, Ruixiao Zhang, and Lifeng Sun ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ------------ From sahanbull at gmail.com Wed Oct 23 04:14:13 2019 From: sahanbull at gmail.com (Sahan Bulathwela) Date: Wed, 23 Oct 2019 09:14:13 +0100 Subject: Connectionists: CfP: Workshop on State-Based User Modelling at ACM WSDM Conference, Texas (Feb 2020) Message-ID: *We are delighted to announce the workshop on State-based User Modelling (SUM ?20) organised at the ACM Conference on Web Search and Data Mining (WSDM)* *held on February 03, 2020 in Houston, TX, US.* *Please find further details about the workshop and the focussed topics at: https://www.k4all.org/event/wsdmsum20/ * *We welcome contributions in the form of research papers, ongoing work and position/vision papers in the topics:* - *User representation and recommender systems* - *Task understanding and supporting user tasks* - *State-aware evaluation* - *Human in the loop* - *User-aware systems* - *Cognitive/contextual user understanding* - *State-aware ML algorithms* *All submissions and reviews will be handled electronically. Papers must be submitted through Easychair by** 23:59, AoE (Anywhere on Earth) on December 1st, 2019.* *We invite you to submit your contributions at: https://easychair.org/conferences/?conf=wsdmsum20 * -- Kind regards Sahan -- *Sahan Bulathwela* Research Assistant (Machine Learning, Information Retrieval and Data Mining) for X5GON www.x5gon.org University College London -- [image: in4maniac Blog] Sahan Bulathwela *"Everyone you will ever meet * *knows* * something you don?t "* [image: https://]in4maniac Blog -------------- next part -------------- An HTML attachment was scrubbed... URL: From mpavone at dmi.unict.it Wed Oct 23 05:50:44 2019 From: mpavone at dmi.unict.it (Mario Pavone) Date: Wed, 23 Oct 2019 11:50:44 +0200 Subject: Connectionists: MESS 2020 :: Metaheuristics Summer School - Learning & Optimization from Big Data Message-ID: <20191023115044.Horde.Iwe1XOph4B9dsCJ0m2ZS2PA@mbox.dmi.unict.it> 1st Call for Participation (apologies for multiple copies) ----------------------------------------------------------------------- MESS 2020 - Metaheuristics Summer School ~ Learning & Optimization from Big Data ~ 27-31 July 2020, Catania, Italy https://www.ANTs-lab.it/mess2020/ mess.school at ANTs-lab.it ----------------------------------------------------------------------- ** APPLICATION DEADLINE: 5th March 2020 ** MESS 2020 is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide an overview on the several metaheuristics techniques, and an in-depth analysis of the state-of-the-art. The main theme of the 2020 edition is ?Learning and Optimization from Big Data?, therefore MESS 2020 wants to focus on (i) Learning for Metaheuristics; (ii) Optimization in Machine Learning; and (iii) how Optimization and Learning affect the Metaheuristics making them relevant in handling Big Data. The courses will be held by world renowned experts in the field, and will be inspected practical aspects on complex combinatorial optimization problems, as well as examples of their successful real-world applications. The participants will have plenty of opportunities for debate and work with leaders in the field, benefiting from direct interaction and discussions in a stimulating environment. They will also have the possibility to present their recently results and/or their working in progress through oral or poster presentations, and interact with their scientific peers, in a friendly and constructive environment. MESS 2020 will involve a total of 36-40 hours of lectures, therefore in according to the academic system, all PhD and master students attending to the summer school will may get 8 ECTS points. Further, during the summer school the students will tackle homework, or project development. MESS 2020 will take place at the ?Palazzo delle Scienze?, today place of the Department of Economics and Business of the University of Catania. ** MESS 2020 Workshop All participants may submit an abstract of their recent results, or works in progress, for presentation and having the opportunities for debate and interact with leaders in the field. Workshop Organizers and Scientific Committee will review the abstracts and will recommend for the format of the presentation (oral or poster). All abstracts will be published on the electronic hands-out book of the summer school. The Abstracts must be submitted by *March 5, 2020*. ** MESS 2020 Metaheuristics Competition All participants to the school will be involved in the ?Metaheuristics Competition?, where each of them, individually or divided in working groups, they will must develop a metaheuristic solution on the given problem. The top three of the competition ranking will receive the MESS 2020 prize. Further, the students, whose algorithms will rank in the five top of the competition ranking, will be invited to submit a report/manuscript of their work to be published in the special MESS 2020 Volume of the AIRO Springer Series. ** School Directors + Salvatore Greco, University of Catania, Italy + Ender Ozcan, University of Nottingham, UK + Mario Pavone, University of Catania, Italy + El-Ghazali Talbi, University of Lille 1, France + Daniele Vigo, University of Bologna, Italy https://www.ANTs-lab.it/mess2020/ -- mess.school at ANTs-lab.it Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/ Twitter: https://twitter.com/MESS_school -- Mario F. Pavone, PhD Associate Professor Dept of Mathematics and Computer Science University of Catania V.le A. Doria 6 - 95125 Catania, Italy --------------------------------------------- tel: +39 095 7383034 Email: mpavone at dmi.unict.it http://www.dmi.unict.it/mpavone/ FB: https://www.facebook.com/mfpavone Skype: mpavone ============================================= From lucaleonardo.bologna at pa.ibf.cnr.it Wed Oct 23 09:27:36 2019 From: lucaleonardo.bologna at pa.ibf.cnr.it (Luca Leonardo Bologna) Date: Wed, 23 Oct 2019 15:27:36 +0200 Subject: Connectionists: Workshop announcement: HBP CodeJam #10 Message-ID: Dear colleagues, You are invited to participate in: ---------------------------- The HBP CodeJam #10 Workshop Nov. 26, 2019 at 09:00 - Nov. 28, 2019 at 18:00 - Heidelberg | Germany https://www.humanbrainproject.eu/en/education/participatecollaborate/infrastructure-events-trainings/codejam10/ Early-bird registration ends *31st October!* ---------------------------- The goal of the CodeJam workshops is to catalyze open-source, collaborative software development in computational and systems neuroscience and neuroinformatics by bringing together researchers, students and engineers to share ideas, present their work, and write code together. While the mornings are dedicated to invited and contributed talks, the afternoons are free for discussions, tutorials and code sprints. This year's theme is "Integration". It is aimed to gather scientists, students and engineers from different disciplines collaborating to build a highly integrated research infrastructure for computation-based neuroscience, and to show how this infrastructure can be used to model brain circuits, behaviour and learning, develop novel bio-inspired computing systems, and help discover new drugs for neurological disorders. Confirmed speakers: Mihai Andrei, CODEMART, Cluj-Napoca, Romania Axel von Arnim, fortiss GmbH, Munich, Germany Luca L. Bologna, Italian National Research Council, Italy Claudia Casellato, University of Pavia, Italy Andrew Davison, French National Centre for Scientific Research, France Alexander Dietz, Swiss Federal Institute of Technology Lausanne, Switzerland Allan Francani, EPFL, Switzerland Alberto Antonietti, University of Pavia, Italy Thanasis Karabatsis, National and Kapodistrian University of Athens, Athens, Greece Kostis Karozos, Athens University of Economics and Business (AUEB). Athens, Greece Michael Hines, Yale University, USA Christian Mauch, Heidelberg University, Germany Johannes Schemmel, Heidelberg University, Germany Philipp Spilger, Heidelberg University, Germany Lorenzo Vannucci, Instituto di BioRobotica, SSSA, Pisa, Italy Jonathan Villemaire-Krajden, EPFL, Switzerland Programme Committee Andrew Davison, French National Centre for Scientific Research, France Luca L. Bologna, Italien National Research Council, Italy Alexander Dietz, Swiss Federal Institute of Technology Lausanne, Switzerland Bernd Schuller, Forschungszentrum J?lich, Germany Evita Mailli, National and Kapodistrian University of Athens, Greece Eric M?ller, Heidelberg University, Germany Egidio Falotico, Sant'Anna School of Advanced Studies, Italy Martina Schmalholz, Heidelberg University, Germany Please visit the event website https://www.humanbrainproject.eu/en/education/participatecollaborate/infrastructure-events-trainings/codejam10/ to learn more and register. Places are limited, so early registration is recommended. Best regards, Luca Leonardo Bologna -------------- next part -------------- An HTML attachment was scrubbed... URL: From tim.m.shea at gmail.com Wed Oct 23 15:00:36 2019 From: tim.m.shea at gmail.com (Tim Shea) Date: Wed, 23 Oct 2019 12:00:36 -0700 Subject: Connectionists: Accenture Tech Labs is hiring a researcher for neuromorphic computing in SF Message-ID: Accenture Tech Labs is an Applied R&D group within a very successful and dynamic technology services firm. We envision and invent the future through emerging technology prototypes, academic and industry collaborations, and scientific publications and outreach. We're hiring a researcher to join our new neuromorphic computing initiative. Interdisciplinary and unusual backgrounds are encouraged to apply. Interested candidates can contact me directly with questions or a resume. Here?s the posting: https://www.accenture.com/us-en/careers/jobdetails?id=00770738_en Best, Tim Shea timothy.m.shea at accenture.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From alekhyamandali at gmail.com Wed Oct 23 09:09:08 2019 From: alekhyamandali at gmail.com (alekhya mandali) Date: Wed, 23 Oct 2019 14:09:08 +0100 Subject: Connectionists: Call for methods collection on computational Psychiatry in video journal JoVE Message-ID: Dear Connectionists We invite contributions to the methods collection in the video Journal *JoVE *on the topic Computational Psychiatry ( https://www.jove.com/methods-collections/111/computational-approaches-to-psychiatry ) ABSTRACT ------------------------------------------------------------------------------------------------------------------------------ Computational psychiatry is a rapidly growing branch in the field of psychiatry for its ability to unravel the underlying neural mechanisms governing behavior. Though computational neuroscience has been well-established and applied extensively to study various aspects of cognition and behavior, it is still emerging in the field of psychiatry. Computational approaches have provided critical insights and novel theories about neural mechanisms ranging from decision making to ocular dominance, to gait and movement in health and disease. The field of computational neuroscience is diverse with approaches ranging from abstract reinforcement learning, to network-level models using differential equations, to data-driven models such as drift-diffusion models and Bayesian models. This collection invites articles where diverse computational approaches are applied to understand how neural mechanisms translate to observed clinical symptoms. The topics include, but are not limited to, impulsive-compulsive disorders, personality disorder, and schizophrenia. The methods of approach include detailed biophysical models such as Hodgkin-Huxley networks that explain the cellular level activity to abstract dynamical systems-based models that focus on high-level behavior. Studies that focus on translational research where insights gained from computational models are used to design novel treatment/ diagnostic methods are also welcome. SUBMISSION INSTRUCTIONS ------------------------------------------------------------------------------------------------------------------------- Please submit your abstract (max 300 words) by clicking the 'Submit Abstract' button in this link ( https://www.jove.com/methods-collections/111/computational-approaches-to-psychiatry ) The deadline for your abstracts is *November 20* CONTACT ------------------------------------------------------------------------------------------------------------------------ For information on this collection, please contact Alekhya Mandali ( am2613 at medschl.cam.ac.uk) -- https://sites.google.com/view/alekhyamandali/home -------------- next part -------------- An HTML attachment was scrubbed... URL: From huajin.tang at gmail.com Thu Oct 24 00:52:47 2019 From: huajin.tang at gmail.com (Huajin Tang) Date: Thu, 24 Oct 2019 12:52:47 +0800 Subject: Connectionists: INNS Award Call for Nominations Message-ID: Dear Colleagues, With this email, we would like to encourage you to submit nominations for the International Neural Network Society (INNS) Awards. INNS has a list of prestigious awards in three categories, Life Contribution, Service, and Young Investigator. Nominations must be submitted through the nomination form via the INNS website https://www.inns.org/awards. The deadline for nominations is October 30th, 2019, 12:00 am (midnight), US Eastern Time. A. Life contribution Awards Life contribution awards recognize outstanding individuals whose scientific life contribution to the field of neural networks was proven to be paradigm changing and long lasting. The program confers three awards recognizing different achievements in neural networks: Donald O. Hebb Award. The award recognizes outstanding achievements in biological learning. Hermann von Helmholtz Award. The award recognizes outstanding achievements in perception. Dennis Gabor Award. The award recognizes outstanding achievements in neural engineering. B. Service Award The Ada Lovelace Service Award recognizes meritorious service to the neural community. C. Young Investigator Award The Aharon Katzir Young Investigator Award is conferred to a most promising young investigator in the field of neural networks. Please visit the INNS website for more information and submission of the nomination packages before the deadline October 30, 2019. https://www.inns.org/awards Thank you! INNS -------------- next part -------------- An HTML attachment was scrubbed... URL: From ivanolauriola at gmail.com Thu Oct 24 02:20:29 2019 From: ivanolauriola at gmail.com (Ivano Lauriola) Date: Thu, 24 Oct 2019 08:20:29 +0200 Subject: Connectionists: CFP: Language processing in the era of deep learning (Special Session @ESANN2020) Message-ID: CALL FOR PAPERS (SPECIAL SESSION: Language processing in the era of deep learning) Co-located @ 28-th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). This event builds upon a very successful series of conferences organized each year since 1993. ESANN has become a major scientific event in the machine learning, computational intelligence, and artificial neural networks fields over the years. Submission deadline: 18 November, 2019 Date of conference: April 22-24, 2020 https://www.esann.org Selected papers from the ESANN 2020 proceedings will be invited for publication of an extended version in a special issue of the Neurocomputing journal. The conference is held in Bruges, Belgium. Bruges is one of the most beautiful medieval towns in Europe. Designated as the "Venice of the North", the city has preserved all the charms of the medieval heritage. SPECIAL SESSION: Language processing in the era of deep learning Organized by Ivano Lauriola (University of Padova, Italy; Fondazione Bruno Kessler, Italy), Alberto Lavelli (Fondazione Bruno Kessler, Italy), Fabio Aiolli (University of Padova, Italy) Natural Language Processing (NLP) is a branch of artificial intelligence brimful of intricate, sophisticated, and challenging tasks, such as machine translation, question answering, summarization, and so on. Thanks to the recent advances of deep learning, NLP applications have received an unprecedented boost in performance, generating growing interest from the machine learning community. However, even if deep learning techniques are starting to reach excellent performance on various tasks, there are still several problems that need to be solved, such as the computational cost, the reproducibility of results, and the lack of interpretability. This special session is devoted to cover novel research about popular and fashionable applications of machine learning and deep learning solutions to NLP tasks. Both theoretical analysis and empirical solutions to real-world problems are welcome and encouraged. Relevant deep learning topics include, but are not limited to: - word, sentence, and document embeddings - graph embeddings and knowledge bases - information extraction - named entity recognition and relation extraction - question answering - string kernels - encoding/decoding architectures - summarization - machine translation - document classification - sentiment analysis - efficient and interpretable models - ontologies and knowledge-driven approaches - resources, datasets, and pre-trained models - multidisciplinary applications (such as biomedical text mining, verbal lie detection...) - creative tasks (such as storytelling, caption generation, social media analytics, multilinguality?) Contacts: - all questions concerning this Special Session may be sent by e-mail to ivano.lauriola at phd.unipd.it - other general questions related to the ESANN 2020 conference may be sent by e-mail directly to the conference organizers: esann at uclouvain.be Best regards, Ivano Lauriola email: ivano.lauriola at phd.unipd.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Thu Oct 24 05:23:05 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Thu, 24 Oct 2019 12:23:05 +0300 Subject: Connectionists: 14th International Conference on Research Challenges in Information Science (RCIS 2020): Fourth Call for Papers In-Reply-To: References: <44330110-137F-4B56-B4BE-CDD88B280A8F@cs.ucy.ac.cy> <21AAA08E-D19C-418D-821C-FF9EFD1616CE@cs.ucy.ac.cy> Message-ID: <79C642E7-A715-4967-A66F-89971448CA26@cs.ucy.ac.cy> *** Fourth Call for Papers *** 14th International Conference on Research Challenges in Information Science (RCIS 2020) Royal Apollonia Beach Hotel 5*, Limassol, Cyprus May 20-22, 2020, Limassol, Cyprus http://rcis-conf.com/ Abstract submission deadline: January 20, 2020 Paper submission deadline: January 27, 2020 (AoE) (Proceedings to be published by Springer; Special Issue in DKE, Elsevier) SCOPE AND TOPICS RCIS aims to bring together scientists, researchers, engineers and practitioners from a wide range of information science fields and to provide opportunities for knowledge sharing and dissemination. RCIS 2020 will continue paying attention to traditional topics at the conference; in addition, we solicit submissions aligned the special theme of Information Science in the Days of Artificial Intelligence. We understand AI in a broad sense, including machine learning, self-adaptation, logic-based reasoning, automation, agents and multiagent systems, natural language processing, etc. RCIS welcomes submissions from the whole spectrum of the information science field. The list of themes and topics includes, but is not limited to: Information Systems and their Engineering ? Requirements Engineering ? Software Testing ? Information Security and Risk ? Method Engineering User-Oriented Approaches ? Social Computing and Social Network Analysis ? User-Centred Design ? Collaborative Computing ? Human Factors in Information Systems Data and Information Management ? Databases and Information ? Information Search and Discovery ? Conceptual Modelling and Ontologies Business Process Management ? Business Process Engineering and Reengineering ? Process Mining ? Enterprise Engineering Domain-specific IS Engineering ? E-Health, e-Government, e-Commerce, ? ? Industry 4.0 ? Web-Based Applications and Services ? Smart Cities Data Science ? Big Data & Business Analytics ? Decision Information Systems ? Knowledge Management ? Knowledge Discovery from Data Information Infrastructures ? Cyber-Physical Systems ? Web Information Systems ? Grid Computing and Cloud Computing ? Internet of Things ? Pervasive and Mobile Computing Reflective Research and Practice ? Research Methodologies in Information Science ? Impact of Information on the Enterprise and the Individual ? Lifecycle Models ? Design Science and Rationale Tutorials, Doctoral Consortium, Posters & Demos will complement the main conference. SUBMISSION PROCESS Papers shall be formatted according to the Springer LNCS/LNBIP conference proceedings template (for LaTeX and Word): https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines . Papers that have already been accepted or are currently under review for other conferences or journals will not be considered for publication at RCIS 2020. Papers should be in English and must be associated to one of the following categories: Technical solution papers (max 16 pages Springer) present solutions that are novel or significantly improve existing approaches. A technical solution paper must include a preliminary validation of the proposed solution, and results must be stated clearly enough so that it is possible to validate them in follow-up research. Evaluation papers (max 16 pages Springer) evaluate existing problem situations or validate proposed solutions through scientific means, i.e., by empirical studies, experiments, case studies, simulations, mathematical proofs, etc. The research method must be sound and appropriate. Industrial practice and experience papers (max 16 pages Springer) thoroughly present problems or challenges encountered in practice, elaborate on success or failure with existing approaches, or report on industrial practice (e.g., methods and tools). A paper in this category shall provide a clear context, detail the problem or the industrial practice, and explain the lessons learned. Work in progress papers (max 8 pages Springer) present relevant preliminary results across the spectrum of information science. These papers can either present a novel technical solution, or report on a preliminary evaluation of a technique. Please note that the maximum length of the paper includes references, appendices, etc. The submission site is https://www.easychair.org/conferences/?conf=rcis2020 . By submitting a paper, the authors agree that at least one of them will register to the conference and present the paper. The appearance of a paper in the Springer proceedings is dependent on the registration of one author within the early registration deadline on March 31, 2020. SPECIAL ISSUE A selection of the best accepted papers of RCIS?20, chosen by a dedicated committee, will be invited to submit an extended version of the RCIS paper to the Data & Knowledge Engineering (DKE) journal published by Elsevier (https://www.journals.elsevier.com/data-and-knowledge-engineering). The selection of the papers to invite will be based on the review scores and arguments, and the potential for extension. IMPORTANT DATES ? Regular paper submission deadline: January 27, 2020 (AoE) ? Notification to authors and registration opening: March 15, 2020 ? Author registration deadline for all paper types: March 31, 2020 ? Camera-ready copy deadline for all paper types: March 31, 2020 ? Conference: May 20-22, 2020 CONFERENCE COMMITTEES Steering Committee ? Sa?d Assar, Institut Mines-Telecom Business School, France ? Marko Bajec,University of Ljubljana, Slovenia ? Pericles Loucopoulos, Manchester University, University Kingdom ? Haralambos Moratidis, University of Brighton, United Kingdom ? Selmin Nurcan, Universit? Paris 1 Panth?on-Sorbonne, France ? Oscar Pastor, Universitat Polit?cnica de Val?ncia, Spain ? Jolita Ralyt?, CUI, University of Geneva, Suisse ? Colette Rolland, Universit? Paris 1 Panth?on-Sorbonne, France General Chairs ? George A. Papadopoulos, University of Cyprus, Cyprus ? Pericles Loucopoulos, Harokopio University of Athens, Greece Organising Chair ? Petros Stratis, Easy Conferences LTD., Cyprus Program Chairs ? Jelena Zdravkovic, Stockholm University, Sweden ? Fabiano Dalpiaz, Utrecht University, Netherlands Doctoral Consortium Chairs ? Raian Ali, Bournemouth University, United Kingdom ? Sergio Espa?a, Utrecht University, Netherlands Tutorial Chairs ? Estefania Serral Asensio, KU Leuven, Belgium ? Ignacio Panach, University of Valencia, Spain Posters & Demos Chairs ? Elena Kornyshova, Conservatoire National des Arts et M?tiers, France ? Marcela Ruiz, Zurich University of Applied Sciences, Switzerland -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.felsberg at liu.se Thu Oct 24 05:21:02 2019 From: michael.felsberg at liu.se (Michael Felsberg) Date: Thu, 24 Oct 2019 09:21:02 +0000 Subject: Connectionists: Research Fellow/Assistant Professor in Machine Learning (tenure track) - closing date November 6 approaching Message-ID: <34694a23-8c7d-4dfd-1076-445a9cd05e13@liu.se> The Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden?s largest individual research program ever; a major national initiative for strategically motivated basic research, education and faculty recruitment (see https://wasp-sweden.org). WASP comprises five Swedish full partner universities and a substantial part of Swedish industry and commerce. WASP aims to strengthen Link?ping University specifically in the field of machine learning within the AI focus-area of WASP. We seek competence in Machine Learning for Visual Perception with focus particularly on mathematics and algorithms for machine learning and pattern recognition relevant to computer vision problems. The developed mathematical tools and algorithms will aim at a better understanding of the processes within deep learning-based vision systems, including handling of uncertain input data, propagation of confidences, detection of anomalies, robustness to polluted training data, enforcement of hard constraints, visualization of relevance, and explorative data acquisition. The research fellow will also explore application areas of this research, e.g., within forestry and agriculture technology. If you are looking for work at an excellent young university, living in urban or rural environments with commuting distance of 15 min, and want to possibly exploit your research results commercially (YOU will completely OWN your IPR): Apply before November 6! https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=11927&rmlang=UK Best regards Michael Felsberg -- Professor Michael Felsberg Tel: +46 13 282460 Computer Vision Laboratory Mobile: +46 702 202460 Link?ping University email: michael.felsberg at liu.se SE-581 83 Link?ping, Sweden http://users.isy.liu.se/cvl/mfe/ From maneesh+connectionists at gatsby.ucl.ac.uk Thu Oct 24 10:13:05 2019 From: maneesh+connectionists at gatsby.ucl.ac.uk (Maneesh Sahani) Date: Thu, 24 Oct 2019 15:13:05 +0100 Subject: Connectionists: Gatsby Unit PhD Programme Message-ID: Gatsby Unit PhD: Training in theoretical and computational neuroscience and machine learning. Deadline: 17th November 2019 The Gatsby Computational Neuroscience Unit is a leading research centre focused on theoretical neuroscience and machine learning. We study unsupervised, supervised and reinforcement learning in brains and machines; inference, coding and neural dynamics; Bayesian and kernel methods, and deep learning; with applications to the analysis of perceptual processing and cognition, neural data, signal and image processing, machine vision, network data and nonparametric hypothesis testing. The Unit provides a unique opportunity for a critical mass of theoreticians to interact closely with each other, with the Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC, with which we share a purpose-designed building), with the cross-faculty Centre for Computational Statistics and Machine Learning (CSML), and with other world-class research groups in related departments at UCL including: Computer Science; Functional Imaging; Neuroscience, Physiology and Pharmacology; Psychology; Neurology; Ophthalmology; The Ear Institute; Statistical Science; and the nearby Alan Turing and Francis Crick Institutes. Students at the Gatsby Unit complete a four-year PhD in either machine learning or theoretical neuroscience, with minor emphasis in the complementary field. Courses in the first year, taught in conjunction with colleagues from the SWC and CSML, provide a comprehensive and intensive introduction to both fields. Students are encouraged to work and interact closely with peers and faculty in the SWC and/or CSML throughout their PhD, providing a uniquely multidisciplinary research environment. Applicants should have a strong analytical and quantitative background, a keen interest in neuroscience, machine learning or both, and a relevant first degree, for example in Computer Science, Engineering, Mathematics, Neuroscience, Physics, Psychology or Statistics. Full funding is available regardless of nationality and current residence. The Unit also welcomes applicants who have secured or are seeking funding from other sources. Applications (including a CV, transcripts, statement of research interests, and letters from three referees) should be sent directly to admissions at gatsby.ucl.ac.uk. Only applications complete by the deadline are guaranteed full consideration; late applications will be entertained only if places remain unfilled. For further details of our programme and how to apply please see: http://www.gatsby.ucl.ac.uk/teaching/phd Further details of research interests are available from http://www.gatsby.ucl.ac.uk/research.html and the individual faculty webpages at http://www.gatsby.ucl.ac.uk/Members.html. -- Maneesh Sahani, Ph.D. Professor of Theoretical Neuroscience and Machine Learning, Director, Gatsby Computational Neuroscience Unit UCL, 25 Howland Street, London W1T 4JG From k.j.geras at nyu.edu Thu Oct 24 11:44:28 2019 From: k.j.geras at nyu.edu (Krzysztof Jerzy Geras) Date: Thu, 24 Oct 2019 11:44:28 -0400 Subject: Connectionists: Postdoctoral researcher position in deep learning for medical image analysis at NYU Message-ID: We are looking for a postdoctoral researcher to join our efforts in developing deep learning methods for early diagnosis of breast cancer with different medical imaging modalities, including mammography, digital breast tomosynthesis, breast ultrasound and breast MRI. The candidates are expected to have strong machine learning and computer vision skills to work on methodological advances improving accuracy, robustness, and explainability of deep neural networks for this application. The candidate will be based primarily at the NYU School of Medicine (Krzysztof J. Geras, Linda Moy and S. Gene Kim) and will work in close collaboration with the NYU Center for Data Science (Kyunghyun Cho). Expected qualifications: - PhD (or near completion) in machine learning or related discipline - Experience with deep neural networks for computer vision - Excellent programming skills - Ability to work in an interdisciplinary team with members at various levels - Prior experience in medical imaging is a plus but is not essential Some examples of our recent work: - Wu et al., ?Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening? (http://arxiv.org/abs/1903.08297), - Shen et al., ?Globally-Aware Multiple Instance Classifier for Breast Cancer Screening? (http://arxiv.org/abs/1906.02846), - ?o?na et al., ?Classifier-agnostic saliency map extraction? ( http://arxiv.org/abs/1805.08249), - Fevry et al., ?Improving localization-based approaches for breast cancer screening exam classification? (http://arxiv.org/abs/1908.00615), - Park et al., ?Screening Mammogram Classification with Prior Exams? ( http://arxiv.org/abs/1907.13057), - Wu et al., ?Breast density classification with deep convolutional neural networks? (http://arxiv.org/abs/1711.03674), - Geras et al., ?High-resolution breast cancer screening with multi-view deep convolutional neural networks? (http://arxiv.org/abs/1703.07047) . Please apply no later than the 20th of December 2019. Start date: As soon as possible. The position is supported by an NIH grant. The initial appointment will be for a year, with the option to renew further. We offer a competitive salary, adjusted to the costs of living in New York, and subsidized housing provided by the NYU School of Medicine. To be considered for this position, please send your CV with a list of publications and the contact details for two references to: k.j.geras at nyu.edu. Please use the string ?[postdoc, deep learning for breast cancer]? as the subject of the email. We look forward to hearing from you! Krzysztof J. Geras, Kyunghyun Cho, Linda Moy, S. Gene Kim NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Fri Oct 25 04:13:48 2019 From: Pavis at iit.it (Pavis) Date: Fri, 25 Oct 2019 08:13:48 +0000 Subject: Connectionists: Postdoc position on deep learning for online 3D scene understanding from images - [ Jobs ] 77483 - APPLICATION DEADLINE 01.11.2019 In-Reply-To: References: <23b7e0a2ca6845548bd81166eec19a53@iit.it>, , Message-ID: Postdoc position on deep learning for online 3D scene understanding from images - [ Postdoc ] 77483 Workplace: IIT, Genova, Italy The Visual Geometry and Modelling (VGM) Research Line at IIT invites qualified applicants to submit their CVs for a Postdoc position in Genoa under the supervision of Dr. Alessio Del Bue. The VGM mission is to provide computational tools for the large-scale understanding of data from the nano up to the macro scale level. With a privileged focus on image and video data, the main lab goal is to research and apply methods to boost the advances of life scientists and engineers in untangling and modelling the (big) data as provided by modern sensors (e.g. high-resolution cameras, time-lapse microscopy, 3D scanners). The scientific core of the Line is related to the research fields of Computer Vision, Signal Processing and Machine Learning with the primary goal to provide algorithms for: Reality Capture: 3D reconstruction from images, sound and range data; Dynamic 3D scene understanding from video and other sensor input; Large scale data clustering and modelling for Life Science and Engineering. This open position is financed in the context of the European Project MEMEX ? an interdisciplinary effort to provide Augmented Reality (AR) systems to impact the European society at large. The candidate will have the opportunity to work on realistic problems involving leading European research centers and companies with the aim to create a novel AR platform able to understand the semantic scene structure of the environment using an RGB video stream from a smartphone. The research topics on 3D scene understanding are related to the recent VGM achievements in structure from motion, object scene 3D reconstruction, and semantic object 3D localization by integrating deep learning approaches with multi-view geometrical reasoning. Such approaches will leverage massive worldwide geolocalized data as provided by project partners to finally deploy a mobile app that understands and localizes each semantic element in a generic scene. Proven scientific track record on major computer vision conferences/journals (CVPR, ICCV, ECCV, TPAMI, IJCV, etc.) is a criteria for the selection as well as experience on programming with ARCore and ARKit augmented reality frameworks. Experience on deep learning is considered a plus for this position. At the time of the application, eligible candidates should have a Ph.D. degree in Computer Vision, Engineering, Robotics or related fields. The successful candidate will be offered a competitive salary commensurate to qualifications and experience. Please send the application, including a CV with publication list, brief description of research interests and main accomplishments and names of two referees to pavis at iit.it quoting ?Postdoc MEMEX position BC 77483? in the email subject. The call will remain open until the position is filled but a first deadline for evaluation of candidates will be November 1st, 2019. The position will be approved pending signature of the grant agreement 870743 by the European Commission. Istituto Italiano di Tecnologia (IIT) was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10 state-of-the-art laboratories countrywide, recruited an international staff of about 1100 people from more than 50 countries. IIT's research endeavor focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nanobiotechnologies. -------------- next part -------------- An HTML attachment was scrubbed... URL: From julisuvk at gmail.com Fri Oct 25 08:38:24 2019 From: julisuvk at gmail.com (=?UTF-8?Q?Julius_von_K=C3=BCgelgen?=) Date: Fri, 25 Oct 2019 14:38:24 +0200 Subject: Connectionists: Cambridge-Tuebingen PhD Fellowships in Machine Learning (Deadline: 3 Nov) Message-ID: Cambridge-Tuebingen PhD Fellowships in Machine Learning (Deadline: 3 Nov) Applications are open for an outstanding European machine learning PhD program jointly supervised between the University of Cambridge and Max Planck Institute for Intelligent Systems in T?bingen. The deadline for applications is November 3rd 2019. For full details, see: https://www.is.mpg.de/jobs/cambridge-tubingen-phd-fellowships-in-machine-learning ---------------------------------------- The University of Cambridge Machine Learning Group and the Max Planck Institute for Intelligent Systems Empirical Inference Department in T?bingen are two of the world?s leading centres for machine learning research. In 2014, we launched a new and exciting initiative whereby a small group of select PhD candidates are jointly supervised at both institutions. The principal supervisors are Zoubin Ghahramani, Carl Rasmussen, Neil Lawrence, Richard Turner, Jose Miguel Hernandez-Lobato and Adrian Weller at Cambridge University, and Bernhard Schoelkopf and other research group leaders at the Max Planck Institute in T?bingen. This is a unique programme, and admission in the last years was highly competitive. We encourage applications from outstanding candidates with academic backgrounds in Mathematics, Physics, Computer Science, Engineering and related fields, and a keen interest in doing basic research in machine learning and its scientific applications. There are no additional restrictions on the topic of the PhD but for further information on our current research areas please consult our webpages at http://mlg.eng.cam.ac.uk and http://ei.is.tuebingen.mpg.de. The overall duration of the PhD will be four years, with roughly three years spent at one location, and one year spent at the other location, including initial coursework at the University of Cambridge. Successful PhDs will be officially granted by the University of Cambridge. -------------- next part -------------- An HTML attachment was scrubbed... URL: From bei.xiao at gmail.com Fri Oct 25 15:01:48 2019 From: bei.xiao at gmail.com (bei.xiao at gmail.com) Date: Fri, 25 Oct 2019 15:01:48 -0400 Subject: Connectionists: Funded PhD Positions in human and machine inference of object properties Message-ID: *Application Deadline: December 1st, 2019* Admission date: September 1st, 2020 Xiao Lab website: https://sites.google.com/site/beixiao/) Degree in: Behavior, Cognition & Neuroscience Graduate Program (BCAN) Prof. Bei Xiao?s lab at the Department of Computer Science, American University in Washington DC (https://sites.google.com/site/beixiao/) is looking for highly motivated PhD candidates to work on human and machine learning of material properties of objects in dynamic scenes. One project aims to develop machine-learning algorithms for complex material and scene perception from images and videos and compare using big datasets with large-scale human psychophysics. Another project aims to understand how humans use vision and haptics to learn physical properties of objects in interactive VR/AR environments using game engines. The lab uses a combination of visual psychophysics, deep learning, computer vision, game programming, graphics techniques, and VR/AR. The lab is located in a brand-new building, which is home to computer science, applied math and statistics, and AU game labs. The lab is equipped with GPU-enabled high-performing computer clusters, several VR/AR HMDs, a virtual tactile device (Geomagic Touch X), 3D printers, and access to a prototyping space. The lab is a short distance from NIH and University of Maryland College Park. Washington DC is the US capital with high quality of living and has a vibrant scene of neuroscience and vision research. The candidate will pursue PhD degree in an interdisciplinary brain and cognitive science program. The ideal candidate is expected to have *strong technical background *and have experience in at least one of the following methods: machine learning, computer vision, image processing, computational neuroscience, human psychophysics, computer graphics, and human cognition. Solid programming skills are a plus. Prospective graduate students should contact Bei Xiao directly (bxiao at american.edu) . More details about the graduate application for BCAN at AU at can be found at: https://www.american.edu/cas/psychology/behavioral/requirements.cfm More details about Xiao lab: https://sites.google.com/site/beixiao/ -- Bei Xiao, PhD Assistant Professor Computer Science & Center for Behavioral Neuroscience American University, Washington DC Homepage: https://sites.google.com/site/beixiao/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomas.hromadka at gmail.com Fri Oct 25 18:42:24 2019 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Sat, 26 Oct 2019 00:42:24 +0200 Subject: Connectionists: COSYNE 2020: Abstract submission closes soon; Registration opens Message-ID: <175dd5ff-7ca2-17d6-2a00-0e7766cf6805@gmail.com> ==================================================== Computational and Systems Neuroscience 2020 (Cosyne) MAIN MEETING 27 February - 01 March 2020 Denver, Colorado WORKSHOPS 02 March - 03 March 2020 Breckenridge, Colorado www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission closes soon! Abstract submission deadline: 31 October 2019 Workshop proposal deadline: 10 November 2019 Cosyne registration opens: 11 November 2019 ---------------------------------------------------- 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 is 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. For details on workshop proposals please see below or visit Cosyne.org -> Workshops. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, 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. This year 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. COSYNE INVITED SPEAKERS Matthew Botvinick (Deepmind/Princeton) Megan Carey (Champalimaud) John Cunningham (Columbia) Gul Dolen (Hopkins) Rainer Friedrich (FMI Basel) Sam Gershman (Harvard) Lisa Giocomo (Stanford) Christopher Harvey (Harvard) Mehrdad Jazayeri (MIT) Wei Ji Ma (NYU) Hendrikje Nienborg (Tuebingen/NIH) Linda Wilbrecht (Berkeley) Marta Zlatic (Janelia) ORGANIZING COMMITTEE General Chairs: Eugenia Chiappe (Champalimaud) and Christian Machens (Champalimaud) Program Chairs: Anne-Marie Oswald (U Pittsburgh) and Srdjan Ostojic (Ecole Normale Superieure Paris) Workshop Chairs: Catherine Hartley (NYU) and Blake Richards (McGill) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert Wilson (U Arizona) Diversity Chairs: Eva Dyer (Georgia Tech, Emory) and Eric Shea-Brown (U Washington) Publicity Chair: Adam Calhoun (Princeton) Development Chair: Michael Long (NYU) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------------------------------- WORKSHOP PROPOSAL DEADLINE: 10 November 2019 A series of workshops will be held after the main Cosyne meeting. The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. - There will be 4-8 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning (8.00-11.00 AM) and afternoon (4.30-7.30 PM) sessions. - Workshops will be held in Breckenridge, CO, a ski village 80 miles west of Denver. Buses from the main conference will be provided. - Workshop speakers do *not* receive free registration, travel expenses, or accommodation for either the main meeting or the workshop sessions. Organizers should let invited speakers know that they are expected to pay for workshop registration fees Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers, submitting a final schedule for the workshop program, and moderating the discussion. Organizers can, but need not, be speakers. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. Any required multimedia resources beyond a projector, screen, and microphones will be the responsibility of the workshop organizers to coordinate with Cosyne and Breckenridge staff. EVALUATION CRITERIA As stated above, the goal of Cosyne workshops is to provide an interactive, informal forum for discussions. Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. Workshop proposals will be evaluated by the Cosyne Workshop Chairs, and a subset of the proposals will be selected. The proposals will be evaluated according to the following six metrics (which will be weighted equally): 1. Relevance to the Cosyne community 2. Integration of experimental and theoretical issues 3. Current interest in the topic in the scientific community 4. Potential for new research directions and interactions to emerge 5. Distinctive scope/approach compared to other workshops (including previous years?) 6. Diversity and equity in the proposed speakers PROPOSALS should include: - Name(s) and email address(es) of the organizers (no more than 2 organizers per session, please). A primary contact should be designated. - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - List of confirmed speakers and names of potential invitees. Preference will be given to workshops with confirmed speakers. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs two days, please explain why. - A brief resume of the workshop organizer(s) along with a short list of workshop-relevant publications (about half a page total). Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and have plenty of breaks. We recommend keeping the number of talks small (i.e., fewer than 10 talks per day). WORKSHOP COSTS Detailed registration costs, etc, will be available at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complimentary (free) organizer registration is provided per workshop. For workshops with 2 organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2020 WORKSHOP CHAIRS Catherine Hartley (NYU) and Blake Richards (McGill) QUESTIONS email: workshops [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details. From Albrecht_Zimmermann at gmx.net Sun Oct 27 05:15:59 2019 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Sun, 27 Oct 2019 10:15:59 +0100 Subject: Connectionists: [CfP] November 8 cut-off data for ECML PKDD journal track coming up References: Message-ID: An HTML attachment was scrubbed... URL: From papaleon at sch.gr Sun Oct 27 09:46:59 2019 From: papaleon at sch.gr (Papaleonidas Antonis) Date: Sun, 27 Oct 2019 15:46:59 +0200 Subject: Connectionists: 16th AIAI 2020 @ Halkidiki, Greece - Call for Papers References: Message-ID: <007801d58ccd$01886d00$04994700$@sch.gr> 16th AIAI 2020, 5 - 7 June 2020 @ Porto Caras Grand Resort, Halkidiki - Greece 1st CALL FOR PAPERS for 16th AIAI @ Halkidiki, Greece Dear Antonios Papaleonidas We would like to invite you to submit your work at the 16th International Conference on Artificial Intelligence Applications and Innovations ( AIAI2020) 16th International Conference on Artificial Intelligence Applications and Innovations, AIAI2020, is organized by IFIP Artificial Intelligence Applications WG12.5. It is going to be co-organized as a Joint event with 21st Conference on Engineering Applications of Neural Networks, EANN 2020, is organized by the INNS (International Neural Network Society). www.aiai2020.eu SPECIAL ISSUES - PROCEEDINGS: Selected papers will be published in 3 special issues of high quality international scientific Journals * International Journal of Neural Systems, Impact factor 6.4 World Scientific https://www.worldscientific.com/worldscinet/ijns * Neural Computing and Applications, Springer Impact Factor 4.213 https://link.springer.com/journal/521 * Special Issue of the Evolving Systems Journal (SPRINGER) https://link.springer.com/journal/12530 PROCEEDINGS will be published SPRINGER IFIP AICT Series and they are INDEXED BY SCOPUS, DBLP, Google Scholar, ACM Digital Library, IO-Port, MAthSciNet, CPCI, Zentralblatt MATH and EI Engineering Index Papers submissions will be up to 12 pages long and not less than 6 pages. IMPORTANT DATES: * Paper Submission Deadline: 29th of February 2020 * Notification of Acceptance: 22nd of March 2020 * Camera ready / Registration Deadline: 2nd of April 2020 * Special Sessions - Workshops PROPOSALS Deadline: 8th of December 2019 * Conference: 5 - 7 of June 2020 VENUE: PORTO CARRAS GRAND Resort & Golf club in the exotic Greek Sithonia Peninsula of Halkidiki, Greece. Special Half Board prices have been arranged for the conference delegates in the Porto Carras Grand Resort. For details please see: http://www.aiai2020.eu/reservations/ KEYNOTE SPEAKERS: Six distinguished Keynote speakers will offer Plenary Lectures on hot Artificial Intelligence Topics. 1. Professor Leontios Hadjileontiadis. Aristotle University of Thessaloniki, Greece, Coordinator of i-PROGNOSIS ( http://www.i-prognosis.eu/). Title will be announced soon. 2. Professor Hojjat Adeli. Ohio State University, Columbus, USA, Fellow of the Institute of Electrical and Electronics Engineers (IEEE). Honorary Professor of Southeast University, Nanjing, China. Member of Polish and Lithuanian Academy of Sciences. Elected corresponding member of the Spanish Royal Academy of Engineering. Title: Machine Learning: A Key Ubiquitous Technology in the 21st Century 3. Dr. Pierre Philippe Mathieu. European Space Agency (ESA) Head of the Philab (? Lab) Explore Office at the European Space Agency in ESRIN (Frascati, Italy. Title: The Rise of Artificial Intelligence for Earth Observation (AI4EO) 4. Professor Eunika Mercier-Laurent. Universit? de Reims Champagne-Ardenne, Reims, France Head of the IFIP Technical Committee 12 (Artificial Intelligence). Title: Over 30 years of AI applications ? what feedback for future applications? 5. Professor Xiao-Jun Wu. Department of Computer Science and Technology Jiangnan University, China. Title: Image Fusion Based on Deep Learning 6. Professor Nikola Kasabov. FIEEE, FRSNZ, Fellow INNS College of Fellows, DVF RAE UK Director, Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Auckland, New Zealand, Advisory/Visiting Professor SJTU and CASIA China, RGU UK. Title: Deep Learning, Knowledge Representation and Transfer with Brain-Inspired Spiking Neural Network Architecture Conference topics, CFPs and submissions details can be found at: * www.aiai2020.eu/call-for-papers/ * www.aiai2020.eu/paper-submission/ We are expecting Submissions on all topics related to Artificial and Computational Intelligence and their Applications. Detailed Guidelines on the Topics and the submission details can be found at the links above General co-Chairs: * Ilias Maglogiannis, University of Piraeus, Greece * Plamen Angelov, Lancaster University, Fellow of the IEEE, of the IET and of the HEA, Vice President of the International Neural Networks Society (INNS) for Conference and Governor of the Systems, Man and Cybernetics Society of the IEEE * John Macintyre, University of Sunderland, United Kingdom Program co-Chairs: * Lazaros Iliadis, School of Engineering, Democritus University of Thrace, Greece * Stefanos Kolias, University of Lincoln, United Kingdom *** Apologies for cross-posting *** Dr Papaleonidas Antonios Publication Chair of AIAI 2020 Civil Engineering Department Democritus University of Thrace papaleon at civil.duth.gr papaleon at sch.gr -------------- next part -------------- An HTML attachment was scrubbed... URL: From viktoria at 4dsound.net Mon Oct 28 05:32:02 2019 From: viktoria at 4dsound.net (Viktoria Laco) Date: Mon, 28 Oct 2019 10:32:02 +0100 Subject: Connectionists: Job Application for a Mathematician Message-ID: Job Application for a Mathematician The Spatial Sound Institute is looking to engage a full-time/part-time mathematician to become involved in ongoing research into the natural laws governing wave behavior within geometries and physics of sound. We are reaching out to this mailing list on the recommendation by Jorg Lehnert, Max Planck Institute for Mathematics in the Sciences Leipzig We invite enthusiastic mathematicians to become part of an interdisciplinary team involving musicians, programmers, physicians and neuro-scientists. The ongoing research on the connection of sound phenomena with fundamental natural laws has possible great implications in theoretical and applied physics. We expect the research to touch upon various fields within mathematics and physics such as magnetism, sound wave propagation, rose and lissajous curves, symmetry along group theory and Lie groups, octonions, fractal and crystallization patterns. Preference goes to working with PostDoc or PhD graduates in mathematics with experience in coding Python and/or C++, though we are open for applications from anyone finding significant relation to the research from within their field of work and professional skills. Central place of work will be the Spatial Sound Institute in Budapest, Hungary, and might involve traveling from/to Budapest within Europe and/or to visit other partner Institutes from time to time. Principal collaborators at the Spatial Sound Institute will be Paul Oomen, Head of Development, and Rona Geffen, Research Associate. Further terms and conditions of the position will be discussed upon response by the applicant. Applicants are requested to send a short motivation letter and their CV before November 30th 2019. Please send to: submissions at spatialsoundinstitute.com Best regards, -- Viktoria Laco | 4DSOUND | Communication and Professional Relations [e] viktoria at 4dsound.net [w] www.4dsound.net | https://spatialsoundinstitute.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From aapo.hyvarinen at helsinki.fi Mon Oct 28 06:49:04 2019 From: aapo.hyvarinen at helsinki.fi (Aapo Hyvarinen) Date: Mon, 28 Oct 2019 11:49:04 +0100 Subject: Connectionists: Faculty position (open rank) at Univ Helsinki Message-ID: The Department of Computer Science at the Faculty of Science of the University of Helsinki invites applications for a PROFESSOR OR ASSISTANT/ASSOCIATE PROFESSOR IN ARTIFICIAL AND HUMAN INTELLIGENCE We are looking for a new Professor to carry out research into the fundamentals of artificial intelligence, combining computer science with studies of the brain and the mind. The person to be chosen must have a strong scientific track record in the computer science of artificial intelligence, and preferably also interdisciplinary experience with fields such as neuroscience, cognitive science or psychology. The position is part of the University of Helsinki profiling action on ?Mind and Matter ? foundations of information, intelligence and consciousness,? aiming to strengthen new interdisciplinary research areas at the university. The deadline for applications is November 30, 2019. For further information, see https://www.helsinki.fi/en/open-positions/professor-or-associateassistant-professor-in-artificial-and-human-intelligence From laurent.perrinet at univ-amu.fr Mon Oct 28 18:28:53 2019 From: laurent.perrinet at univ-amu.fr (Laurent Perrinet) Date: Mon, 28 Oct 2019 23:28:53 +0100 Subject: Connectionists: =?utf-8?q?18_month_Post-doc_position_coordinated_?= =?utf-8?q?by_Laurent_Perrinet=2C_supported_by_INT_=28Marseille=2C_France?= =?utf-8?q?=29_and_Yves_Fr=C3=A9gnac_=28UNIC-NeuroPSI=2C_Gif=29?= Message-ID: Dear colleagues, Applications are welcome for a post-doctoral position at INT in Marseille, France. Your mission will be to explore novel visual computations using spatio-temporal diffusion kernels and traveling waves. The project is funded by the ANR Horizontal V1 grant (ANR-17-CE37-0006) from the French National Research Agency (ANR) and will be coordinated by Laurent Perrinet, in collaboration with Lyle Muller and Fr?d?ric Chavane at INT and Yves Fr?gnac and Jan Antolik at UNIC-NeuroPSI, Gif. We are seeking candidates with a strong background in machine learning, computer vision and computational neuroscience. For more information, visit https://laurentperrinet.github.io/post/2019-10-28_postdoc-position. The starting date is set to January 6th, 2020 but can be flexibly extended. To obtain further information or send applications (including a full CV, a letter of motivation, 2 reference names), please contact me @ Laurent.Perrinet at univ-amu.fr. The appointment is for 18 month. Applications are welcome immediately and until the end of year 2019. Thanks for distributing this announcement to potential candidates! Laurent -- Laurent Perrinet - INT (UMR 7289)/CNRS https://laurentperrinet.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From rsun at rpi.edu Mon Oct 28 12:20:07 2019 From: rsun at rpi.edu (Professor Ron Sun) Date: Mon, 28 Oct 2019 12:20:07 -0400 Subject: Connectionists: WCCI2020 Glasgow - [Special Session, Workshop] proposals are due in 3 weeks Message-ID: IEEE World Congress on Computational Intelligence 19-24 July 2020, Scottish Event Campus, Glasgow. wcci2020.org [Special Sessions, Workshops] proposals are due in 3 weeks!! (15Nov2018). See the descriptions and contacts below. On behalf of the WCCI Organizing Committee, it is our great pleasure to invite you to the IEEE World Congress on Computational Intelligence. The 2020 IEEE World Congress on Computational Intelligence (IEEE WCCI 2020) is the world's largest technical event in the field of computational intelligence. IEEE WCCI 2020 will host three flagship conferences under one roof : ? IJCNN - International Joint Conference on Neural Networks (cooperation between IEEE-CIS & INNS) ? FUZZ-IEEE - IEEE International Conference on Fuzzy Systems ? IEEE-CEC - IEEE Congress on Evolutionary Computation This encourages cross-fertilisation of ideas among the three big areas and provides a forum for intellectuals from all over the world to discuss and present their research findings on computational intelligence. Important deadlines: 15Nov2019 Special Session & Workshop Proposals 15Dec2019 Competition & Tutorial Proposals 15Jan2020 Paper submission 15Mar2020 Paper Acceptance Notification 15Apr2020 Final paper submission & Early registration 19-24Jul2020 Conference Dates Call for Papers : Papers for IEEE WCCI 2020 should be submitted electronically using the Congress website www.wcci2020.org and will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity. Call for Special Sessions: IEEE WCCI 2020 solicits proposals for special sessions within the technical scope of the three conferences. Special sessions are to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Cross-fertilization of the three technical disciplines and newly emerging research are strongly encouraged. Inquiries regarding special sessions and proposals should be addressed to Special Sessions Chairs : IJCNN (including Deep Learning) : Richard Duro, University of A Coru?a. Spain FUZZ-IEEE : Humberto Bustince, Public University of Navarra, Pamplona, Spain IEEE-CEC : David Corne, Heriot-Watt University, Scotland, UK Cross-disciplinary & Applications : Xiao-Jun Zeng, University of Manchester, UK Call for Workshops: The 2020 IEEE WCCI invites proposals for workshops to be held in conjunction with the main event. The overall purpose of a workshop is to provide participants with the opportunity to present and discuss novel research ideas on active and emerging topics of Computational Intelligence. Topics of the proposed workshops should therefore be aligned with those set forth in the call for papers for the main event. Prospective workshop organizers are invited to submit their proposals to the Workshops Chairs below: IJCNN (including Deep Learning) : Ali Minai, University of Cincinnati, USA FUZZ-IEEE & Cross-Disciplinary : Lipo Wang, National Technological University of Singapore IEEE-CEC : Khan Iftekharuddin, Old Dominion University, Norfolk, USA Call for Tutorials: IEEE WCCI 2020 will feature pre-Congress tutorials, covering fundamental and advanced topics in computational intelligence. A tutorial proposal should include title, outline, expected enrollment, and presenter/organizer biography. Inquiries regarding tutorials should be addressed to Tutorials Chairs : IJCNN (including Deep Learning) : Barbara Hammer, Bielefeld University, Germany FUZZ-IEEE : Plamen Angelov, Lancaster University, UK IEEE-CEC : Ponnuthurai Suganthan, Nanyang Technological University, Singapore Cross-disciplinary : All three Tutorials Co-Chairs Call for Competitions: IEEE WCCI 2020 will host competitions to stimulate research in computational intelligence. A competition proposal should include descriptions of the problem(s) addressed, evaluation procedures, and a biography of the organizers. Inquiries regarding competitions should be addressed to the Competitions Chairs : IJCNN (including Deep Learning): Huanhuan Chen, University of Science and Technology of China, China IEEE-CEC : Jialin Liu, Southern University of Science and Technology, Shenzhen, China FUZZ-IEEE (including Security) : Bill Buchanan, Edinburgh Napier University, UK Cross-disciplinary & Applications : Christos Panayiotou, University of Cyprus, Cyprus General questions, coordination : Huanhuan Chen, University of Science and Technology of China, China Venue: IEEE WCCI 2020 will be held in Glasgow, Scotland, UK - one of Europe's most dynamic cultural capitals and the "World's Friendliest City" [Rough Guide 2015]. Steeped in culture, rich in history and alive with an excitement you can sense as you walk through its elegant Victorian streets, squares, parks and gardens. The Conference will be held at the prestigious Scottish Event Campus (SEC), which was a key venue for the 2014 Glasgow Commonwealth Games. From cshelton at cs.ucr.edu Mon Oct 28 16:26:19 2019 From: cshelton at cs.ucr.edu (Christian Shelton) Date: Mon, 28 Oct 2019 13:26:19 -0700 Subject: Connectionists: Open-Rank Tenure/Tenure-Track Position at UC Riverside Message-ID: <20191028202618.GA4530@caylus> The Department of Computer Science & Engineering at the University of California at Riverside is searching for an open-rank faculty position in machine learning or natural language processing. We welcome candidates in all areas of ML or NLP and seek those who will support our current campus diversity and help grow future diversity. https://aprecruit.ucr.edu/JPF01177 Application review will begin Jan. 1, 2020. If there are any questions, please feel free to contact the search chair, Christian Shelton, at hire at cs.ucr.edu. From dwang at cse.ohio-state.edu Mon Oct 28 14:31:11 2019 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Mon, 28 Oct 2019 14:31:11 -0400 Subject: Connectionists: NEURAL NETWORKS, Nov. 2019 Message-ID: Neural Networks - Volume 119, Nov. 2019 http://www.journals.elsevier.com/neural-networks Online sequential class-specific extreme learning machine for binary imbalanced learning Sanyam Shukla, Bhagat Singh Raghuwanshi Distributed semi-supervised learning algorithm based on extreme learning machine over networks using event-triggered communication scheme Jin Xie, Sanyang Liu, Hao Dai Spiking neural networks for deep learning and knowledge representation: Editorial to Virtual Special Issue Nikola K. Kasabov Neural dynamics of spreading attentional labels in mental contour tracing Mateja Maric, Drazen Domijan Modulating grid cell scale and intrinsic frequencies via slow high-threshold conductances: A simplified model Diogo Santos-Pata, Riccardo Zucca, Hector Lopez-Carral, Paul F.M.J. Verschure Low-rank analysis-synthesis dictionary learning with adaptively ordinal locality Zhengming Li, Zheng Zhang, Jie Qin, Sheng Li, Hongmin Cai Semi-supervised distributed representations of documents for sentiment analysis Saerom Park, Jaewook Lee, Kyoungok Kim Multi-source sequential knowledge regression by using transfer RNN units Xiurui Xie, Guisong Liu, Qing Cai, Pengfei Wei, Hong Qu Personalised modelling with spiking neural networks integrating temporal and static information Maryam Doborjeh, Nikola Kasabov, Zohreh Doborjeh, Reza Enayatollahi, ... Amir H. Gandomi Multi-representation adaptation network for cross-domain image classification Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, ... Qing He Spectral constraint adversarial autoencoders approach to feature representation in hyperspectral anomaly detection Weiying Xie, Jie Lei, Baozhu Liu, Yunsong Li, Xiuping Jia Transformed L1 regularization for learning sparse deep neural networks Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang Hierarchical gated recurrent neural network with adversarial and virtual adversarial training on text classification Hoon-Keng Poon, Wun-She Yap, Yee-Kai Tee, Wai-Kong Lee, Bok-Min Goi Multiclass heterogeneous domain adaptation via bidirectional ECOC projection Wan-Yu Deng, Ying-Ying Dong, Guang-Da Liu, Ying Wang, Jie Men Efficient IntVec: High recognition rate with reduced computational cost Kunihiko Fukushima Locally connected spiking neural networks for unsupervised feature learning Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma Hierarchical feature fusion framework for frequency recognition in SSVEP-based BCIs Yangsong Zhang, Erwei Yin, Fali Li, Yu Zhang, ... Peng Xu A generalized neural network for distributed nonsmooth optimization with inequality constraint Wenwen Jia, Sitian Qin, Xiaoping Xue Nonlinear approximation via compositions Zuowei Shen, Haizhao Yang, Shijun Zhang Adaptive robust principal component analysis Yang Liu, Xinbo Gao, Quanxue Gao, Ling Shao, Jungong Han Synchronization of memristive neural networks with leakage delay and parameters mismatch via event-triggered control Yuting Cao, Shengbo Wang, Zhenyuan Guo, Tingwen Huang, Shiping Wen Non-fragile state estimation for fractional-order delayed memristive BAM neural networks Haibo Bao, Ju H. Park, Jinde Cao Stochasticity from function -- Why the Bayesian brain may need no noise Dominik Dold, Ilja Bytschok, Akos F. Kungl, Andreas Baumbach, ... Mihai A. Petrovici Periodicity and finite-time periodic synchronization of discontinuous complex-valued neural networks Zengyun Wang, Jinde Cao, Zuowei Cai, Lihong Huang The quantization error in a Self-Organizing Map as a contrast and colour specific indicator of single-pixel change in large random patterns John M. Wandeto, Birgitta Dresp-Langley A programmable neural virtual machine based on a fast store-erase learning rule Garrett E. Katz, Gregory P. Davis, Rodolphe J. Gentili, James A. Reggia His-GAN: A histogram-based GAN model to improve data generation quality Wei Li, Wei Ding, Rajani Sadasivam, Xiaohui Cui, Ping Chen A subgraph-representation-based method for answering complex questions over knowledge bases Zhifeng Hao, Biao Wu, Wen Wen, Ruichu Cai From ross.s.williamson at pitt.edu Mon Oct 28 09:21:56 2019 From: ross.s.williamson at pitt.edu (Williamson, Ross S) Date: Mon, 28 Oct 2019 13:21:56 +0000 Subject: Connectionists: Postdoctoral position(s) available at the University of Pittsburgh Message-ID: <44FFF975-7F10-4DAC-904B-C4FE8AF03167@pitt.edu> Dear all, Apologies for the cross-posting. Postdoctoral position(s) investigating the organization and function of auditory corticofugal projection systems in behaving mice are available in the Williamson Laboratory at the University of Pittsburgh. Details on the research focus and approaches of the laboratory can be found here: https://www.williamsonlaboratory.com/research/ Applicants must have a PhD in Neuroscience or a relevant field and must be eligible for employment in the US. We are looking for individuals with an excellent record of research achievements and expertise at the intersection of two or more of the following areas: electrophysiology, two-photon imaging, quantitative behavior, and computational neuroscience. Applications will continue until the position is filled. The Williamson Laboratory is the newest member of the Pittsburgh Hearing Research Center at the University of Pittsburgh. The lab is embedded within the Departments of Otolaryngology and Neurobiology, and affiliated with the Center for Neuroscience (CNUP) and the Center for the Neural Basis of Cognition (CNBC). Postdoctoral fellows will be part of a highly supportive and diverse research environment with excellent career development opportunities. The University of Pittsburgh was ranked third in terms of total NIH funding received in 2018. The Global Liveability Index (The Economist) recently ranked Pittsburgh as the second most livable city in America. Interested candidates should email a brief statement of research interests, a CV, and the names and contact information of three references to Dr. Ross Williamson (rsw at pitt.edu). The positions will remain open until filled. Regards, Ross --------------------------------------------------------------------------------------- Ross S. Williamson, Ph.D. | Assistant Professor | Otolaryngology Pittsburgh Hearing Research Center | University of Pittsburgh Biomedical Science Tower | W1448 www.williamsonlaboratory.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From hannu.toivonen at helsinki.fi Tue Oct 29 12:44:41 2019 From: hannu.toivonen at helsinki.fi (Hannu Toivonen) Date: Tue, 29 Oct 2019 18:44:41 +0200 Subject: Connectionists: Faculty position in Helsinki: Artificial and Human Intelligence, tenure track or tenured professor Message-ID: <02351020-666F-4A6C-AD02-65B613B4ECA1@helsinki.fi> The Department of Computer Science at the Faculty of Science of the University of Helsinki invites applications for a Professor or Associate/Assistant Professor to carry out research into the fundamentals of artificial intelligence, combining computer science with studies of the brain and the mind. The position is part of the University of Helsinki profiling action on ?Mind and Matter ? foundations of information, intelligence and consciousness,? aiming to strengthen new interdisciplinary research areas at the university. The successful applicant may be appointed to a permanent full professorship or a fixed-term assistant/associate professorship (tenure track), depending on his or her qualifications and career stage. The person to be chosen must have a strong scientific track record in the computer science of artificial intelligence, and preferably also interdisciplinary experience with fields such as neuroscience, cognitive science or psychology. The University of Helsinki, and the Mind and Matter action in particular, offer excellent potential collaborators in the relevant areas. The deadline for applications is November 30, 2019. For more information on the position and applying, please visit https://www.helsinki.fi/en/open-positions/professor-or-associateassistant-professor-in-artificial-and-human-intelligence Hannu Toivonen Professor, Vice Dean, Faculty of Science University of Helsinki, Finland http://www.cs.helsinki.fi/hannu.toivonen/ Tel +358 50 9112405 -------------- next part -------------- An HTML attachment was scrubbed... URL: From fellous at email.arizona.edu Tue Oct 29 13:10:52 2019 From: fellous at email.arizona.edu (Fellous, Jean-Marc - (fellous)) Date: Tue, 29 Oct 2019 17:10:52 +0000 Subject: Connectionists: Ode to a Postdoc-Tucson AZ Message-ID: Ode to a (prospective) postdoc A laboratory _ a clever postdoc seeks On a rodent project _ with multiple techniques, >From electro-opto _ to computational, The fellow will study _ the navigational. The fellow will explore _ complex environments And will manipulate _ with care, in increments, Various complexities _ in the environment To understand the brain _ and the rodent intents. The fellow will also, _ during deep sleep measure Positive emotions _ and the dream of pleasure Within hippocampus _ and cortical structure Together synchronized _ in their rhythmic nature. Many creative thoughts _ the fellow will produce With fantastic colleagues _ together, will abduce Neural mechanisms_ that will yield new insights. Many publications, _ we hope, this work ignites. The project is highly multi-disciplinary and will involve collaborations with other researchers in the US and abroad, therefore good communication skills are required. Applicant should send a cover letter (email is ok), a CV and the names/contact information of at least two references to Dr. Fabian Fernandez (fabianf at email.arizona.edu) or Dr. Jean-Marc Fellous (fellous at email.arizona.edu). More information about the laboratory can be found at http://amygdala.psychdept.arizona.edu/lab.html. The University of Arizona is committed to maintaining a diverse and inclusive work environment and women and minorities are encouraged to apply. The University of Arizona is an equal opportunity, affirmative action employer. ?????- -------------- next part -------------- An HTML attachment was scrubbed... URL: From evomusart at gmail.com Tue Oct 29 10:23:18 2019 From: evomusart at gmail.com (=?UTF-8?Q?Jo=C3=A3o_Correia?=) Date: Tue, 29 Oct 2019 14:23:18 +0000 Subject: Connectionists: [EXTENDED DEADLINE] Call for papers for the 9th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) Message-ID: ------------------------------------------------ [EXTENDED DEADLINE] Call for papers for the 9th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) Please distribute (Apologies for cross-posting) ------------------------------------------------ The 9th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) will be held in Seville, Spain, on 15-17 April 2020, as part of the evo* event. SPECIAL ISSUES: There are two special issues on JCR journals associated to EvoMUSART: "Neural Computing and Applications" (Q1, IF: 4.66) and "Entropy" (Q2, IF: 2.419). See EvoMUSART 2020 webpage for more information on these special issues. The main goal of EvoMUSART is to bring together researchers who are using Artificial Intelligence techniques (e.g. artificial neural network, evolutionary computation, swarm, cellular automata, alife) for artistic tasks such as visual art, music, architecture, video, digital games, poetry, or design. The conference gives researchers in the field the opportunity to promote, present and discuss ongoing work in the area. Accepted papers will be published by Springer Verlag in the Lecture Notes in Computer Science series. IMPORTANT DATES Extended! Submission deadline: 15 November 2019 Evo*: 15-17 April 2020 We welcome submissions which use Artificial Intelligence techniques in the generation, analysis and interpretation of art, music, design, architecture and other artistic fields. Submissions must be at most 16 pages long, in Springer LNCS format. Each submission must be anonymised for a double-blind review process. The deadline for submission is 1 November 2019. Accepted papers will be presented orally or as posters at the event and included in the EvoMUSART proceedings published by Springer Verlag in a dedicated volume of the Lecture Notes in Computer Science series. Indicative topics include but are not limited to: * Systems that create drawings, images, animations, sculptures, poetry, text, designs, webpages, buildings, etc.; * Systems that create musical pieces, sounds, instruments, voices, sound effects, sound analysis, etc.; * Systems that create artefacts such as game content, architecture, furniture, based on aesthetic and/or functional criteria; * Systems that resort to artificial intelligence to perform the analysis of image, music, sound, sculpture, or some other types of artistic object; * Systems in which artificial intelligence is used to promote the creativity of a human user; * Theories or models of computational aesthetics; * Computational models of emotional response, surprise, novelty; * Representation techniques for images, videos, music, etc.; * Surveys of the current state-of-the-art in the area; * New ways of integrating the user in the process (e.g. improvisation, co-creation, participation). More information on the submission process and the topics of EvoMUSART can be found at: http://www.evostar.org/2020/cfp_evomusart.php Papers published in EvoMUSART can be found at: https://evomusart-index.dei.uc.pt We look forward to seeing you in Seville in 2020! The EvoMUSART 2020 organisers Juan Romero Aniko Ekart Tiago Martins (publication chair) From Albrecht_Zimmermann at gmx.net Tue Oct 29 18:39:08 2019 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Tue, 29 Oct 2019 23:39:08 +0100 Subject: Connectionists: [CfP] Second and Final IDA 2020 Call for Ideas Message-ID: An HTML attachment was scrubbed... URL: From caspar.schwiedrzik at googlemail.com Wed Oct 30 03:47:19 2019 From: caspar.schwiedrzik at googlemail.com (Caspar M. Schwiedrzik) Date: Wed, 30 Oct 2019 08:47:19 +0100 Subject: Connectionists: =?utf-8?q?Deadline_approaching=3A_The_European_Ne?= =?utf-8?q?uroscience_Institute_in_G=C3=B6ttingen_=28ENI-G=29_Germa?= =?utf-8?q?ny_announces_positions_for_Group_Leaders_=28m/f/d=29?= In-Reply-To: References: Message-ID: The European Neuroscience Institute in G?ttingen (ENI-G) Germany announces positions for Group Leaders (m/f/d) - Limitation: fixed-term - Working period: full-time - Tariff: salary according to TV-L - Announcement published on 10.09.2019 - Vacancy from 01.05.2020 - Application deadline: 10.11.2019 *About us:* The ENI-G, a joint initiative between the University Medical Center G?ttingen and the Max-Planck-Society, provides an exceptional environment for excellent young researchers in the neurosciences. *We seek:* Applicants with an outstanding record of research in neuroscience, also including excitable cells in general. Topics range from molecular and cellular physiology, neuronal circuit analysis, imaging (at all scales), to computational and cognitive neuroscience, with emphasis on health and disease. Current work at the ENI-G focuses on physiology, sensory processing and plasticity in multiple species, from invertebrates to humans. Research that complements these already established topics at the ENI-G is also welcome. *We offer:* Group leaders a maximal amount of independence while also providing the support necessary to build up a new research program. ENI-G will provide office and laboratory space as well as a generous start-up. State of the art equipment, including dedicated microscopy infrastructure, animal facilities, a precision workshop, IT and administrative support are available in house. Unparalleled opportunities for scientific collaboration and interaction exist within the G?ttingen Research Campus, including the University of G?ttingen and its Medical School, three Max Planck Institutes (Biophysical Chemistry, Experimental Medicine, and Dynamics and Self Organization), the German Primate Center and the Bernstein Center for Computational Neuroscience. We will work closely with the recently established Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells ( https://www.uni-goettingen.de/en/579892.html)" as well as the newly starting Heart and Brain Center G?ttingen. In addition to the excellent research environment that ENI-G provides, its independent group leaders can benefit from the resources and funding opportunities offered by the Collaborative Research Centers (CRC / SFB) within the G?ttingen Neuroscience community. The ENI-G also houses the distinguished graduate program ?IMPRS Neurosciences?, facilitating interactions with excellent students and providing opportunities for teaching. You will have an experienced mentor by your side, receive broad administrative support, professional leadership training, and help with relocation and establishing a life in Germany, including visa application, housing, schooling, and day-care. Successful group leaders will have the opportunity to obtain a permanent position after a two step internal and external evaluation. *We look forward to:* Applications from outstanding researchers who are enthusiastic about pursuing an independent research program in an environment that supports cutting edge research. The successful candidate is expected to develop a vigorous research program with a Ph.D. received within the last five years. Relevant research training and outstanding research reflected by high-impact publications are a prerequisite for consideration. The applicant is expected to acquire competitive third-party funding, and eligibility for ERC Starting Grant / DFG Emmy Noether level funding (or comparable) is a requirement. Details about funding opportunities can be found at http://www.eni-g.de/career/group-leader. Interested candidates should submit their curriculum vitae and record of publications highlighting their 3-5 most significant publications, as well as a research statement (3-5 pages), and a copy of their PhD degree, preferably in one pdf. Application deadline: 10 November 2019. Women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. We look forward to receiving your application by *10.11.2019*: University Medical Center G?ttingen European Neuroscience Institute G?ttingen Christiane Becker Administration Manager Grisebachstr. 5 37077 G?ttingen Tel.: 0551/39-61300 Fax: 0551/39-61399 E-Mail: c.becker at eni-g.de Web: http://www.eni-g.de/index.php?id=groupleader Also see: https://www.umg.eu/karriere/stellenangebote/stellenanzeigen-detail/?jobId=2860 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Oct 31 10:02:44 2019 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Thu, 31 Oct 2019 16:02:44 +0200 Subject: Connectionists: Invitation to join the new Computer Vision and Machine Learning (CVML) email list References: <011201d58fe1$4ea97680$ebfc6380$@csd.auth.gr> Message-ID: <01df01d58ff3$df18ff80$9d4afe80$@csd.auth.gr> Dear Computer Vision and Machine Learning enthusiast, if you want to subscribe (for free) to this rather new Computer Vision and Machine Learning (CVML) email list to send/receive scientific messages/news, please: send an empty email to sympa at lists.auth.gr with subject: subscribe cvml at lists.auth.gr your_name Your_name is optional. For example if your name is John Smith, your email subject should be: subscribe cvml at lists.auth.gr John Smith or subscribe cvml at lists.auth.gr You can unsubscribe any time, by sending an empty email to sympa at lists.auth.gr with subject: unsubscribe cvml at lists.auth.gr If you want to receive messages in digest format, please send a request to the moderator 'Orestis Sarakatsanos' orestiss at csd.auth.gr . This moderated list is expected to serve the confluence of the scientific disciplines of: * Computer Vision, Image/video processing, 3D imaging * Machine Learning, Neural Networks, Pattern Recognition, AI * Autonomous System perception (cars, drones, vehicles, robots) * Signal processing, sensor networks * Distributed computing and related topics (e.g., robotics, AS communications). If you work on any of these topics, publish in relevant conferences (CVPR, ICCV, ECCV, ACCV, NIPS, ICML, BMVC, WACV, ICIP, ICASSP, ICPR, EUSIPCO, MLSP, ICME, ACM Multimedia) and/or journals (IEEE PAMI, TIP, SMC, CSVT, TNNLS, TMM, Pattern Recognition, Information Sciences, Neurocomputing, Neural Networks, Image and Vision Computing, IJCV, ACM Transactions on Intelligent Systems and Technology, ACM Computing Surveys) and you want to get relevant regular news or post your own news, you can subscribe as shown above. Your subscription will enable a valuable dissemination asset for the entire Computer Vision and Machine Learning community, to be used by all. CVML has developed very fast: though it is only 6 months old, yet it sends around 15 very relevant messages each time, twice a week to thousands of CVML subscribers. This is an one-off message, sent though various channels, to inform you about the creation of the CVML email list. For additional info, you can visit: http://www.aiia.csd.auth.gr/EN/cvml.html Sincerely yours, Ioannis Pitas Professor, PhD, Director of the Artificial Intelligence and Information Analysis Lab, AUTH, Greece IEEE fellow and Distinguished Lecturer -------------- next part -------------- An HTML attachment was scrubbed... URL: From augenstein at di.ku.dk Thu Oct 31 10:26:36 2019 From: augenstein at di.ku.dk (Isabelle Augenstein) Date: Thu, 31 Oct 2019 14:26:36 +0000 Subject: Connectionists: PhD Fellowship in Natural Language Processing at University of Copenhagen Message-ID: A PhD Fellowship in Natural Language Processing is available at the Department of Computer Science, University of Copenhagen. The position is offered in the context of a basic research project on 'Detecting Gender-Biased Language on Social Media' funded by the Independent Research Fund Denmark (DFF). The fellowship offers the applicant employment as a PhD Fellow for a period of three years. The successful candidate will be advised by Isabelle Augenstein and co-advised by Ryan Cotterell (ETH Zurich). Funding for bilateral visits is available. The call is open until 1 December 2019 for a start in Spring 2020. Candidates are expected to hold a Master?s degree in Computer Science or a related relevant area or be near completion for one. There are no restrictions on citizenship, and a language certificate is not required at application time. Candidates from traditionally underrepresented minorities in natural language processing are particularly encouraged to apply. More information and application link: https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentId=18970&ProjectId=150660&MediaId=5&SkipAdvertisement=false ??? Isabelle Augenstein, PhD Tenure-track Assistant Professor Department of Computer Science University of Copenhagen Universitetsparken 5, 2100 Copenhagen, Denmark www: http://isabelleaugenstein.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ariel.9arcia at gmail.com Thu Oct 31 16:41:17 2019 From: ariel.9arcia at gmail.com (Ariel Ruiz-Garcia) Date: Thu, 31 Oct 2019 20:41:17 +0000 Subject: Connectionists: CFP[extended deadline]: Neural Networks journal special issue on GANs Message-ID: *TL;DR ? CFP*: Neural Networks journal special issue on GANs *GUEST EDITORS*: Ariel Ruiz-Garcia, J?rgen Schmidhuber, Vasile Palade, Clive Cheong Took, Danilo Mandic *SUBMISSION DEADLINE*: 30th November [extended] 2019 ---------------------------------- *CALL FOR PAPERS[deadline reminder]*: Neural Networks Journal *Special Issue on Deep Neural Network Representation and Generative Adversarial Learning* Generative Adversarial Networks (GANs) have proven to be efficient systems for data generation. Their success is achieved by exploiting a minimax learning concept, which has proved to be an effective paradigm in earlier works, such as predictability minimization, in which two networks compete with each other during the learning process. One of the main advantages of GANs over other deep learning methods is their ability to generate new data from noise, as well as their ability to virtually imitate any data distribution. However, generating realistic data using GANs remains a challenge, particularly when specific features are required; for example, constraining the latent aggregate distribution space does not guarantee that the generator will produce an image with a specific attribute. On the other hand, new advancements in deep representation learning (RL) can help improve the learning process in Generative Adversarial Learning (GAL). For instance, RL can help address issues such as dataset bias and network co-adaptation, and identify a set of features that are best suited for a given task. Despite their obvious advantages and their application to a wide range of domains, GANs have yet to overcome several challenges. They often fail to converge and are very sensitive to parameter and hyper-parameter initialization. Simultaneous learning of a generator and a discriminator network often results in overfitting. Moreover, the generator model is prone to mode collapse, which results in failure to generate data with several variations. Accordingly, new theoretical methods in deep RL and GAL are required to improve the learning process and generalization performance of GANs, as well as to yield new insights into how GANs learn data distributions. This special issue on Deep Neural Network Representation and Generative Adversarial Learning invites researchers and practitioners to present novel contributions addressing theoretical and practical aspects of deep representation and generative adversarial learning. The special issue will feature a collection of high quality theoretical articles for improving the learning process and the generalization of generative neural networks. State-of-the-art applications based on deep generative adversarial networks are also very welcome. Topics of interest for this special issue include, but are not limited to: Representation learning methods and theory; Adversarial representation learning for domain adaptation; Network interpretability in adversarial learning; Adversarial feature learning; RL and GAL for data augmentation and class imbalance; New GAN models and new GAN learning criteria; RL and GAL in classification; Adversarial reinforcement learning; GANs for noise reduction; Recurrent GAN models; GANs for imitation learning; GANs for image segmentation and image completion; GANs for image super-resolution; GANs for speech and audio processing GANs for object detection; GANs for Internet of Things; RL and GANs for image and video synthesis; RL and GANs for speech and audio synthesis; RL and GANs for text to audio or text to image synthesis; RL and GANs for inpainting and sketch to image; RL and GAL in neural machine translation; RL and GANs in other application domains. *Important Dates:* 30 November 2019 ? Submission deadline 28 February 2020 ? First decision notification 30 April 2020 ? Revised version deadline 30 June 2020 ? Final decision notification September 2020 ? Publication (papers available online as soon as accepted). *Guest Editors:* Dr Ariel Ruiz-Garcia Coventry University, UK Email: ariel.9arcia at gmail.com Professor J?rgen Schmidhuber NNAISENSE, Swiss AI Lab IDSIA, USI & SUPSI, Switzerland Email: juergen at idsia.ch Professor Vasile Palade Coventry University, UK Email: vasile.palade at coventry.ac.uk Dr Clive Cheong Took Royal Holloway (University of London), UK Email: Clive.CheongTook at rhul.ac.uk Professor Danilo Mandic Imperial College London, UK Email: d.mandic at imperial.ac.uk *Submission Procedure:* Prospective authors should follow the standard author instructions for Neural Networks, and submit manuscripts online at http://ees.elsevier.com/neunet/. Authors should select ?VSI:RL and GANs? when they reach the ?Article Type? step and the "Request Editor" step in the submission process. For any questions related to the special issue please email Dr Ariel Ruiz-Garcia (ariel.9arcia at gmail.com) -------------- next part -------------- An HTML attachment was scrubbed... URL: From gros at itp.uni-frankfurt.de Thu Oct 31 11:25:31 2019 From: gros at itp.uni-frankfurt.de (Claudius Gros) Date: Thu, 31 Oct 2019 16:25:31 +0100 (CET) Subject: Connectionists: an educational review on time delay systems Message-ID: Dear All Time delays are ubiquitous in dynamical networks and many other systems. To this regard we would like to point out a new introductory review, Chaos in time delay systems, an educational review by H. Wernecke, B. Sandor, C. Gros Physics Reports 824, 1-40 (2019). https://www.sciencedirect.com/science/article/abs/pii/S0370157319302601 abstract -------- The time needed to exchange information in the physical world induces a delay term when the respective system is modeled by differential equations. Time delays are hence ubiquitous, being furthermore likely to induce instabilities and with it various kinds of chaotic phases. Which are then the possible types of time delays, induced chaotic states, and methods suitable to characterize the resulting dynamics? This review presents an overview of the field that includes an in-depth discussion of the most important results, of the standard numerical approaches and of several novel tests for identifying chaos. Special emphasis is placed on a structured representation that is straightforward to follow. Several educational examples are included in addition as entry points to the rapidly developing field of time delay systems. table of contents ----------------- 1 Introduction 1.1 Time delays in theory and nature 1.2 Outline 1.3 States and state histories 1.4 Lyapunov exponents 1.4.1 Local Lyapunov exponents 1.4.2 Global and maximal Lyapunov exponents 1.4.3 Global Lyapunov exponents for maps 1.5 Educational example: Stability of a fixed point 1.5.1 Analytic ansatz for local Lyapunov exponents 1.5.2 Euler map 2 Types of time delay systems 2.1 Single constant time delay 2.2 Multiple constant time delays 2.3 Time-varying delay 2.4 State-dependent delay 2.5 Conservative vs. dissipative delay 2.6 Distribution of delays 2.7 Reducible time delay systems 2.8 Neutral delay systems 2.9 Networks with delay coupling 2.10 Long time delays 3 Characterizing the dynamics of time delay systems 3.1 Fixed points 3.2 Types of chaotic motion 3.2.1 Delay induced chaos 3.2.2 Partially predictable chaos 3.2.3 Weak and strong chaos 3.2.4 Intermittent and laminar chaos 3.2.5 Transient chaos 3.3 Lyapunov spectrum 3.4 Lyapunov prediction time 3.5 Phase space contraction rate 3.6 Poincare? section 3.7 The power spectrum of attractors 3.8 The dimension of attractors 3.8.1 Mori dimension 3.8.2 Kaplan-Yorke dimension 3.8.3 Fractal dimension 3.8.4 Correlation dimension 3.9 Binary tests for identifying chaos 3.9.1 Cross-distance scaling exponent 3.9.2 Gottwald-Melbourn test 3.10 Space-time interpretation of time delay systems 4 Numerical treatment 4.1 Numerical integration 4.1.1 Euler algorithm 4.1.2 Euler integration as a discrete map 4.1.3 Explicit Runge-Kutta algorithms 4.2 Lyapunov exponents 4.2.1 Maximal Lyapunov exponent from two diverging trajectories 4.2.2 Benettin?s algorithm 4.2.3 Extracting Lyapunov exponents from the Euler map 5 Conclusions ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ### ### Complex and Adaptive Dynamical Systems, A Primer ### A graduate-level textbook, Springer (2008/10/13/15) ### ### Mageia, das Buch der Farben ### http://www.buchderfarben.de ### ### Life for barren exoplanets: The Genesis project ### https://link.springer.com/article/10.1007/s10509-016-2911-0 ### From Ezgi.Bulca at caesar.de Thu Oct 31 12:11:15 2019 From: Ezgi.Bulca at caesar.de (Ezgi Bulca) Date: Thu, 31 Oct 2019 16:11:15 +0000 Subject: Connectionists: 15 funded PhD Positions in Neuroscience | IMPRS for Brain and Behavior Message-ID: 15 fully-funded PhD Positions in Neuroscience | IMPRS (International Max Planck Research School) for Brain and Behavior Bonn, Germany & Jupiter, Florida (USA) Looking for a PhD position in neuroscience? Apply to our fully-funded, international PhD program in the Max Planck Society! IMPRS for Brain and Behavior is a transatlantic collaboration between the Max Planck associated caesar in Bonn and the University of Bonn, along with the USA partners Max Planck Florida Institute for Neuroscience (MPFI) and Florida Atlantic University. The Projects More than 40 labs with an enormous variety of research projects are seeking outstanding PhD candidates to join their research. See our website (https://www.imprs-brain-behavior.org/research/faculty/) for further information on our faculty and possible doctoral projects. Successful candidates will work in a young and dynamic, interdisciplinary, international environment, embedded in the local scientific communities in Bonn or Jupiter. Your Profile Highly qualified and motivated aspiring PhD student from any nationality. Proven track record of academic and research excellence. Bachelor's or Master's degree (or equivalent) in life sciences, physics, mathematics, computer science, engineering, or other relevant subject. Fluency in written and spoken English. Research experience is of advantage. Our Offer Immersion in a stimulating scientific culture of interaction and international cooperation. State-of-the art facilities with novel scientific technologies and advanced infrastructure. Dedicated support and mentoring personnel. Competitive salary funded for the whole duration of studies and no tuition fees. We are committed to diversity and equal opportunity for all applicants. Application deadline: December 1, 2019 https://www.imprs-brain-behavior.org/admissions/application-info/ You will need: CV, letter of motivation, contact info for 2 referees, academic certificates and transcripts. Only online applications accepted. Short-listed candidates will be interviewed in February-March. Positions must be started within 6 months of selection. All the best, Ezgi Bulca Ezgi Bulca IMPRS for Brain & Behavior Coordinator phone +49/228/9656-318 e-mail: ezgi.bulca at caesar.de www.imprs-brain-behavior.mpg.de research center caesar center of advanced european studies and research an associate of the Max Planck Society Ludwig-Erhard-Allee 2 53175 Bonn, Germany www.caesar.de -------------- next part -------------- An HTML attachment was scrubbed... URL: