Post Doc in Inverse Reinforcement Learning University of Tubingen Department of Computer Science

Post-doc position (m/f/d, 100% E 13 TV-L) – Inverse Reinforcement Learning, Cooperative/Distributed Machine Learning Faculty of Science, Department of Computer Science Bewerbungsfrist : 10.02.2021 At the University of Tübingen, Faculty of Mathematics and Natural Sciences, Department of Computer Science, is a Post-doc position (m/f/d, 100% E 13 TV-L) – Inverse Reinforcement Learning, Cooperative/Distributed Machine Learning available to be filled as soon as possible. The position is limited to five years. Job description: The main duty is to deliver high-quality research concerning challenges in inverse reinforcement learning (such as hierarchical IRL or multi-agent IRL) and cooperative/distributed machine learning (such as distributed training and distributed implementation of the trained model). The position includes a teaching assistantship equal to 4 hours per week in a fundamental area related to “decision-making”, “Machine Learning”, and/or “Artificial Intelligence”. Profile description: Applicants must possess an excellent recent Ph.D. degree in Computer Science (machine learning, artificial intelligence, multi-agent systems), Mathematics (operations research, statistics, game theory, applied probability theory), or another tightly related field. A strong mathematical background and the motivation to work on theoretical problems are necessary. Good programming skills (at least MATLAB or Python) and English proficiency are also required. Knowledge of German language and previous teaching experience are desired but not necessary. How to apply: Please send your application as a single pdf file to Prof. Maghsudi (setareh.maghsudispam prevention@uni-tuebingen.de). The application should include (i) full CV including publications and the contact information of at least two references, (ii) transcripts records for both graduate and undergraduate levels, (iii) theses if in English or German, (iv) up to three representative publications. The applications deadline is 10.02.2021. Only complete applications can be considered. The university 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. If you apply for this position please say you saw it on Computeroxy

Post-doc position (m/f/d, 100% E 13 TV-L) – Inverse Reinforcement Learning, Cooperative/Distributed Machine Learning

Faculty of Science, Department of Computer Science

Bewerbungsfrist : 10.02.2021

At the University of Tübingen, Faculty of Mathematics and Natural Sciences, Department of Computer Science, is a

Post-doc position (m/f/d, 100% E 13 TV-L) – Inverse Reinforcement Learning, Cooperative/Distributed Machine Learning

available to be filled as soon as possible. The position is limited to five years.

Job description:

The main duty is to deliver high-quality research concerning challenges in inverse reinforcement learning (such as hierarchical IRL or multi-agent IRL) and cooperative/distributed machine learning (such as distributed training and distributed implementation of the trained model). The position includes a teaching assistantship equal to 4 hours per week in a fundamental area related to “decision-making”, “Machine Learning”, and/or “Artificial Intelligence”.

Profile description:

Applicants must possess an excellent recent Ph.D. degree in Computer Science (machine learning, artificial intelligence, multi-agent systems), Mathematics (operations research, statistics, game theory, applied probability theory), or another tightly related field. A strong mathematical background and the motivation to work on theoretical problems are necessary. Good programming skills (at least MATLAB or Python) and English proficiency are also required. Knowledge of German language and previous teaching experience are desired but not necessary.

How to apply:

Please send your application as a single pdf file to Prof. Maghsudi (setareh.maghsudispam prevention@uni-tuebingen.de). The application should include (i) full CV including publications and the contact information of at least two references, (ii) transcripts records for both graduate and undergraduate levels, (iii) theses if in English or German, (iv) up to three representative publications.

The applications deadline is 10.02.2021. Only complete applications can be considered.

The university 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.

If you apply for this position please say you saw it on Computeroxy