[agents] Ph.D./Post-Doc Positions in AI and Mult-Agent Systems At the University of Tübingen

[Maghsudi, Setareh]

At the University of Tübingen, Faculty of Mathematics and Natural Sciences, Department of Computer Science, newly-established Research Group “Decision-Making”, are several

(Ph.D. student/Post-Doc, m/f/d, compensation according to E 13 TV-L Germany)

positions available to be filled in Fall 2020. The duration of employment is 3-5 years, depending on the specific project.

Job Description:
The main duty is to deliver high-quality research results in different domains of decision-making under uncertainty, specifically in multi-agent systems. Specific topics include Federated/Transfer/Active Learning, Multi-Armed Bandit, Inverse Reinforcement Learning.

Profile description:
Applicants must possess an excellent and recent Ph.D. or M.Sc. degree in Computer Science (machine learning, artificial intelligence, multi-agent systems), Mathematics (operations research, statistics, game theory), Electrical Engineering (wireless communications), Statistical Physics, or another tightly related field. The applicant shall demonstrate a strong mathematical background and the motivation to work on theoretical problems. Good programming skills (at least MATLAB or Python) and English proficiency are necessary.

How to apply:
Please send the applications 05.09.2020 to maghsudi at tu-berlin.de (Prof. Maghsudi). The application shall include (i) full CV including publications, (ii) transcripts records for both graduate and undergraduate levels, (iii) theses if in English or German, and (iv) the contact information for at least two references.

The University of Tübingen seeks to raise the number of women in research and teaching and therefore urges qualified women academics to apply for these positions. Equally qualified applicants with disabilities will be given preference.
The employment will be carried out by the central administration of the University of Tübingen.

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.cs.umbc.edu/pipermail/agents/attachments/20200824/cd46915c/attachment.html>