Connectionists: Reminder: Application deadline for MLSS 2015 in Tuebingen, Germany

Tue Feb 10 02:28:35 EST 2015

*Scientist Positions Available at the Institute of High Performance
Computing, A*STAR, Singapore*

The Agency for Science, Technology and Research (A*STAR) -
http://www.a-star.edu.sg/ - is a Singapore government funded group of
research institutions which receives multi-billion (U.S.) dollar funding
from the Singapore government -
http://www.nrf.gov.sg/research/r-d-ecosystem/overview.

The Institute of High Performance Computing (IHPC) -
http://www.ihpc.a-star.edu.sg/ - is a member institute of A*STAR that was
established in 1998 to provide leadership in high performance computing as
a strategic resource for scientific inquiry and industry development. We
are seeking highly self-motivated individuals capable of working
independently yet cohesively as a team in the pursuit of scientific work
with high demands on technical flair and a knack for innovative solutions
to various problems. Successful candidates will become part of a
multidisciplinary research team in building algorithms for computational
and artificial intelligence, processing, analysing and interpreting social
media data, data and video analytics, language processing including
understanding and generation, computer vision, behaviour understanding, and
commonsense reasoning. If you share our interests in solving challenging
scientific problems, we welcome you to apply for the following positions:

*1. Scientist (Artificial Intelligence)*

*Job Description:*

You will contribute towards capability development in some of the following
areas: computational and artificial intelligence systems,
cognitively-inspired systems, intelligent processing, analysis and
interpretation of social media data, data and video analytics, behaviour
understanding systems, and probabilistic and commonsense inference systems.

*Requirements:*

   1. A PhD degree in Computer Science / Computer Engineering / Electrical
   Engineering / Information Systems / Cognitive Science / Psychology /
   Physics, or equivalent.
   2. A good scientific research track record and practical experience in
   some of the following disciplines: computational and artificial
   intelligence, cognitive systems, modelling and simulation, data and video
   analytics, and social media data analysis.
   3. Interest and experience with commonsense reasoning systems will be
   advantageous.
   4. Able to work independently and as part of a multidisciplinary team.
   5. Strong potential for producing impactful scholarly publications.
   6. Demonstrates strong interest and ability in research.

*2. Scientist (Linguistics/Computational Linguistics)*

*Job Description:*

You will contribute towards capability development in the following area:
design and development of computational and artificial intelligence
systems, specifically language understanding and generation systems.

*Requirements:*

   1. A PhD degree in Linguistics / Computational Linguistics / Computer
   Science / Computer Engineering / Electrical Engineering / Information
   Systems / Cognitive Science, or equivalent.
   2. A good scientific research track record in one or more than one of
   the following areas: linguistics, computational linguistics, natural
   language processing systems, etc.
   3. Interest and experience with cognitive linguistics will be
   advantageous.
   4. Able to work independently and as part of a multidisciplinary team.
   5. Strong potential for producing impactful scholarly publications.
   6. Demonstrates strong interest and ability in research.

*Salary:*

For comparison, in 2013, Singapore’s per capita GDP is US$55,000 and US’s
per capita GDP is US$53,000. Therefore salaries are commensurate with these
figures.

Please submit CV and references by email to Dr. Seng-Beng Ho at
hosb at ihpc.a-star.edu.sg.

----------------------------------------------------------------------------------------------------------------

On Mon, Feb 9, 2015 at 3:00 PM, Michael Hirsch <
michael.hirsch at tuebingen.mpg.de> wrote:

> **************************************************************************
> ***                     APPLICATIONS END SOON                          ***
> ***       http://mlss.tuebingen.mpg.de/2015/application.html           ***
> **************************************************************************
>
> Dear Colleagues,
>
> please note that the application deadline for the
>
> --------------------------------------------------------------------------
>                     MACHINE LEARNING SUMMER SCHOOL
> at the Max Planck Institute for Intelligent Systems in Tübingen, Germany
>                          13 to 24 July 2015
>                  http://mlss.tuebingen.mpg.de/2015/
> --------------------------------------------------------------------------
>
> is approaching soon. The deadline is this Thursday, February 12th
> at 23.59 GMT.
>
> Due to several requests, the deadline for reference letters will be
> extended by one week. Reference letters will be accepted till Thursday,
> February 19th, 23.59 GMT.
>
> Please also note the extended list of speakers!
>
>
> Overview
> --------------------------------------------------------------------------
> The machine learning summer school provides graduate students and industry
> professionals with an intense learning experience on the theory and
> applications of modern machine learning. Over the course of two weeks,
> a panel of internationally renowned experts of the field will offer
> tutorials covering basic as well as advanced topics.
>
> Confirmed Speakers and Topics
> --------------------------------------------------------------------------
>
> Rohit Babar (MPI for Intelligent Systems) will co-teach a practical on
>         Kernel Methods
>
> Michael Black (MPI for Intelligent Systems) will speak on
>         Learning Human Body Shape
>
> Olivier Bousquet (Google) will speak on
>         Machine Learning in Industry
>
> Stephen Boyd (Stanford) will speak on
>         Optimization
>
> Tamara Broderick (MIT, ex Berkeley) will speak on
>         Bayesian Nonparametrics
>
> Rob Fergus (Facebook / NYU) will speak on
>         Neural Networks
>
> Zoubin Ghahramani (Cambridge) will speak on
>         Bayesian Inference
>
> Arthur Gretton (UCL) will speak on
>         Kernels
>
> Ralf Herbrich (Amazon) will speak on
>         Machine Learning in Industry
>
> Neil Lawrence (Sheffield) will speak on
>         Gaussian Processes
>
> David Lopez-Paz (MPI for Intelligent Sytems) will co-teach a practical on
>         Kernel Methods
>
> Ulrike von Luxburg (University of Hamburg) will speak on
>         Learning Theory
>
> Krikamol Muandet (MPI for Intelligent Systems) will co-teach a practical on
>         Kernel Methods
>
> Jonas Peters (ETH Zürich, MPI for Intelligent Systems) will speak on
>         Causality
>
> Stefan Schaal (MPI for Intelligent Systems) will speak on
>         Learning Robots
>
> Ilya Tolstikhin (MPI for Intelligent Systems) will co-teach a practical on
>         Learning Theory
>
> Ruth Urner (MPI for Intelligent Systems) will co-teach a practical on
>         Learning Theory
>
> Chris Watkins (Royal Holloway) will speak on
>         Reinforcement Learning
>
> Jason Weston (Facebook) will speak on a topic tbc
>
> Frank Wood (Oxford) will teach a practical on
>         Probabilistic Programming
>
> Bernhard Schölkopf (MPI for Intelligent Systems) will speak on
>         Causality
>
> Philipp Hennig (MPI for Intelligent Systems) will speak on
>         Probabilistic Numerical Methods
>
> Michael Hirsch (MPI for Intelligent Systems) will speak on
>         Computational Imaging
>
>
> Application process
> --------------------------------------------------------------------------
> Applications are invited from graduate students, postdoctoral researchers
> and industry professionals looking to use, or already using machine
> learning methods in their work. This includes researchers in applied
> fields as well as students of machine learning itself. Prior experience
> is not strictly required, but helpful. A small number of travel stipends
> will be available.
>
> Applicants will be asked to submit a CV, a cover letter of up to 2000
> characters, and a short letter of recommendation from one referee of their
> choice. We are also seeking to give participants a chance to discuss their
> own work with their peers and the speakers. Each applicant is thus invited
> to provide the title of a poster they would like to present at the school.
>
> For more information visit
> http://mlss.tuebingen.mpg.de/2015/application.html
>
> Important Dates
> --------------------------------------------------------------------------
> * Monday 12 Jaunary 2015        application system opens
> * Thursday 12 February 2015     DEADLINE FOR APPLICATIONS
> * Thursday 19 February 2015     DEADLINE FOR REFERENCE LETTERS
> * Thursday 12 March 2015        notification of acceptance
>
> The school takes place from
>
>         Monday 13 July to Friday 24 July 2015
>
> Organizers
> --------------------------------------------------------------------------
> Michael Hirsch              Philipp Hennig              Bernhard Schölkopf
>
> inquiries should be directed to michael.hirsch at tuebingen.mpg.de
> ==========================================================================
>
>
>
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