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Doctoral Candidate in Machine Learning and Game Theory

19.11.2024, Wissenschaftliches Personal

A PhD position (E13) in the fields of machine learning and game theory is available at the Department of Computer Science at TUM at the Chair of Decision Sciences and Systems in the lab of Professor M. Bichler.

We offer:
- a team of young and highly motivated colleagues who are passionate about machine learning, optimization, and game theory.
- strong support for your professional development.
- an attractive work environment both within the research group and beyond
For further information concerning the group at TU Munich see dss.in.tum.de.

You have:
- a degree in Computer Science or Mathematics.
- an interest in machine learning and game theory.
- excellent communication skills in English.

If you fit this profile, like challenging tasks, and are passionate about research, then we would love to hear from you. To apply, please send a detailed curriculum vitae, all grade transcripts, selected publications (if available), a list of references, and copies of your BSc/MSc theses, via email to: dss@in.tum.de

As an equal opportunity employer, TUM explicitly encourages applications from women and all others who would bring additional diversity dimensions to the university.

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: M. Bichler, dss@in.tum.de

More Information

https://www.cs.cit.tum.de/en/dss/bichler/