Neural Network models for language and interactive robots

The Department of Informatics, Institute of Knowledge Technology,
invites applications for multiple positions as

RESEARCH ASSOCIATES (Postdocs and PhD Students) in the context of the
project
CROSSMODAL LEARNING: Neural network models for language and interactive
robots.

Positions commence from January 2020 or as soon as possible thereafter
and are in accordance with Section 28 subsection 3 of the Hamburg higher
education act (Hamburgisches Hochschulgesetz, HmbHG) on SALARY LEVEL 13
TV-L.

These are fixed-term contracts in accordance with Section 2 of the
academic fixed-term labor contract act (Wissenschaftszeitvertragsgesetz,
WissZeitVG). The term is fixed for up to 4 years until 31st of December
2023. The full-time positions call for 39 hours per week.

Responsibilities:

Duties include academic services in the project named above. Research
associates may also pursue independent research and further academic
qualifications.

Specific Duties:

Duties in the project include the design, development and evaluation of
neurocognitive models of crossmodal language learning as well as
neurorobotic models for crossmodal joint attention and social
interaction. The overall project aims to deepen interdisciplinary
research between computer science, neuroscience, and psychology in order
to set up collaborative research with a focus on
human-robot-collaboration, artificial intelligence, neuroscience and
psychology while focusing on the topic of cross-modal learning. The
long-term challenge is to understand the neural, cognitive and
computational evidence of cross-modal learning and to use this
understanding for (1) better analyzing human performance with
cross-modal correspondence and (2) building effective cross-modal
computational and robot systems.

Requirements:

A university degree in a relevant subject. For doctoral positions,
academic degree of MSc in computer science, computer engineering or
similar. For post-doctoral positions, a doctorate, or equivalently the
experience of more than three years of doctoral studies plus
publications in the area of Intelligent Systems are required. The degree
must qualify the post holder to carry out the above-mentioned duties.
Programming skills in some of Python, C, ROS, Tensorflow or PyTorch are
required. Your demonstrated research interests should be in some of the
areas of Intelligent Systems (e.g. Neural Networks, Robotics, Machine
Learning, Speech, Vision, or Affective Processing). International
publication experience is expected. Very good communication skills in
English are expected.

The University aims to increase the number of women in research and
teaching and explicitly encourages qualified women to apply. Equally
qualified female applicants will receive preference in accordance with
the Hamburg act on gender equality (Hamburgisches Gleichstellungsgesetz,
HmbGleiG).

Qualified disabled candidates or applicants with equivalent status
receive preference in the application process.

As a University of Excellence, Universität Hamburg is one of the
strongest research universities in Germany. As a flagship university in
the greater Hamburg region, it nurtures innovative, cooperative contacts
to partners within and outside academia. It also provides and promotes
sustainable education, knowledge, and knowledge exchange locally,
nationally, and internationally.

For further information, please contact Prof. Dr. Stefan Wermter or
consult our website at: https://www.informatik.uni-hamburg.de/wtm/

Applications should include a cover letter, a tabular curriculum vitae,
pdf of best publications, and copies of degree certificate(s). Please
send applications by 15.01.2020 or until the post gets filled to Ms
Katja Koesters (katja.koesters@informatik.uni-hamburg.de) in a single
pdf document.

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Professor Dr. Stefan Wermter
Director of Knowledge Technology
Department of Informatics
University of Hamburg
Vogt-Koelln-Str. 30
22527 Hamburg, Germany

Email: wermter AT informatik.uni-hamburg.de
https://www.informatik.uni-hamburg.de/WTM/
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