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[poste] 3 offres Postdoctoral Positions

1) De : Christian Lebiere cl [ chez ] cmu.edu

The ACT-R group at Carnegie Mellon University (http://act-r.psy.cmu.edu/) is looking for postdoctoral researchers for a number of positions. Candidates with a Ph.D. in cognitive psychology, cognitive neuroscience, computer science, machine learning or artificial intelligence and an interest in computational cognitive modeling are encouraged to apply.

The first positions involve designing neural imaging (EEG) experiments and developing computational (ACT-R) cognitive models of complex skills in dynamic interactive environments to study the effect on performance of workload, strategies and expertise, and inform system design by predicting experimental conditions that would give rise to performance difficulties.

The other positions involve developing computational cognitive models of complex skills in dynamic interactive environments and integrating them with deep learning models and explanation systems. The purpose of the project is to provide insights into the processes and representations of the deep learning models to improve trust and interaction with human experts (Explainable AI).

Interested candidates should send inquiries and applications (CV, research interests, references) to John Anderson (ja [ chez ] cmu.edu) and Christian Lebiere (cl [ chez ] cmu.edu).


2) De : Peter Stone pstone [ chez ] cs.utexas.edu

[Apologies if you receive this multiple times]


POSITION: Post-doctoral fellow on "Grounded Language Learning on Robots"

CONTACTS: Profs. Raymond Mooney and Peter Stone
The University of Texas at Austin
2317 Speedway, Stop D9500
Austin, TX 78712-1757 USA
Austin, Texas 78712-0233 U.S.A.
{mooney,pstone} [ chez ] cs.utexas.edu

Applications are invited for a postdoctoral fellow of up to two years,
possibly renewable for additional years, in the Department of Computer
Science. The position will be joint across Prof. Mooney's Machine
Learning Research Group and Prof. Stone's Learning Agents Research Group
within the Artificial Intelligence Laboratory.

Primary responsibilities include performing cutting-edge research in
collaboration with faculty and Ph.D. students.

The research will focus on developing robust, adaptive, interactive
intelligent robots in an indoor environment that are capable of natural
language interaction. Specifically, the goal is to develop human-robot
dialog systems that learn to communicate with users through natural
dialog, learning from repeated user interactions to become more robust
and capable through normal use.

QUALIFICATIONS: Applicants should have a Ph.D. in Computer Science or
related field. Experience in intelligent robotics and/or natural
language processing is essential. Experience in grounded natural language,
machine learning, and/or human-robot interaction is preferable, as is experience
programming in ROS.

TO APPLY: Applicants should send by email to mooney [ chez ] cs.utexas.edu and
pstone [ chez ] cs.utexas.edu

- a curriculum vitae
- names of two references with contact information
- a two-page summary of past research and relevant qualifications
- a personal Web page, if available, where further details can be found

This position is to start in the fall of 2017 or at any agreed later date.
Applications will be reviewed as they are received.

Professor Peter Stone
David Bruton, Jr. Centennial Professor
University Distinguished Teaching Professor
Associate Chair
Department of Computer Science phone: 512-471-9796
The University of Texas at Austin fax: 512-471-8885
2317 Speedway, Stop D9500 pstone [ chez ] cs.utexas.edu
Austin, Texas 78712-1757 USA http://www.cs.utexas.edu/~pstone


3) De : samarasinghe [ chez ] ini.rub.de

Pending funding approval, Prof. Sen Cheng in the Institute for Neuroinformatics at Ruhr University Bochum, invites applications for a full time position of Postdoctoral Scholar (TV-L E13) in Computational Neuroscience.

The position starts on 1st July 2017 and is funded for 3 years.

Job description
Analyze the learning dynamics in neural and psychophysiological data as well as behavioral data that will be collected by other projects within the framework of a collaborative research group.
Comparing the learning dynamics between individuals, species, learning phases and learning paradigms.
Develop algorithms to analyze the learning dynamics.
Coordinate research with other participating projects.

Further information can be found at https://www.ini.rub.de/research/groups/computational_neuroscience/.
The working language of the institute is English. There is no teaching obligation.

Your Profile:
Candidates should have an excellent degree in neuroscience, physics, mathematics, engineering, or a related field. Competence in mathematical modeling, and excellent programming skills (e.g. Python, C/C++, Matlab) are mandatory. In addition, relevant research experience in neuroscience or a related field is required. Experience in the study of learning dynamics and in working within a collaborative research group would be a further asset.

Please send your applications, including CV, transcripts and research statement electronically, as a single PDF file, tosamarasinghe [ chez ] ini.rub.de by 23.04.2017. In addition, at least two academic references may be sent independently to the above email address. Travel costs for interviews will not be reimbursed.
The Ruhr-University Bochum provides a dynamic research environment in neuroscience and cognitive science. The Institute for Neural Computation unifies various core competencies extending from experimental and theoretical neuroscience to machine learning and robotics.
The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities.

Contact person: Vinita Samarasinghe

Vinita Samarasinghe M.Sc., M.A.

Science Manager

Arbeitsgruppe Computational Neuroscience
Institut für Neuroinformatik
Ruhr-Universität Bochum, NB 3/26
Universitätstr. 150
D-44780 Bochum

Tel: +49 (0)234 32 27316
samarasinghe [ chez ] ini.rub.de

Hours: Monday 9-12 14-16; Friday 9-12 14-16; Wednesday 12 - 16

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