EURO Bulletin Board - Jobs

Fully funded PhD position in Machine Learning for Multiobjective Combinatorial Optimization at TU Munich. Applications will be reviewed starting on 30 April 2026.

A fully funded PhD position (initially 75% TV-L E13, increasing to 100% TV-L E13 after 8 months) in Machine Learning for Multiobjective Combinatorial Optimization is available at the Professorship of Optimization and Sustainable Decision Making (https://odm.cs.tum.de/en/) of the Technical University of Munich (TUM). 

The expected starting date for the position is August 2026 or later.

Details about the position and the application process are available here: https://portal.mytum.de/jobs/wissenschaftler/NewsArticle_20260312_103447

Your tasks:

Design and analyze new reinforcement learning algorithms for solving multiobjective combinatorial optimization problems.
Implement and experimentally evaluate the developed methods using modern ML frameworks (e.g., PyTorch).
Benchmark the developed approaches on standard combinatorial optimization problems.
Present research results at international machine learning and optimization conferences and publish them in scientific journals.
Teach tutorials (in English) for the courses Advanced Mathematics 1–2 and/or Statistics at TUM Campus Straubing.

Your profile:

Above-average master’s degree in mathematics, theoretical computer science, machine learning, or a closely related field.
Strong background in discrete optimization, algorithms, or reinforcement learning.
Good programming skills (preferably Python) and experience with machine learning frameworks such as PyTorch or TensorFlow.
Strong analytical and problem-solving skills and interest in mathematical research.
Experience with multiobjective optimization is a plus.
Very good command of spoken and written English.

We offer:

A stimulating international research environment at the interface of mathematics and computer science.
Close supervision and support for developing an independent research profile.
Opportunities to publish in leading journals and present at international conferences.
Funding for conference travel and research visits.
Flexible working hours and a friendly working atmosphere.
A 3-year contract (75% TV-L E13 during the first 8 months, increasing to 100% afterwards) with salary and benefits according to the public service agreement of Bavaria.

How to apply?

Interested candidates should submit their application as a single PDF file via email to Prof. Dr. Clemens Thielen: clemens.thielen@tum.de

The application should include:

Letter of motivation explaining your interest and suitability for the position.
Curriculum vitae (CV).
Transcripts and degree certificates of your BSc and MSc studies (with detailed course and grade information).
If applicable: List of relevant projects and publications.
Optional: A letter of recommendation from your MSc thesis supervisor.

Applications will be reviewed starting 30 April 2026 and will remain open until the position is filled.

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: clemens.thielen@tum.de


For further information about the position, please contact Prof. Dr. Clemens Thielen (clemens.thielen@tum.de).

-- Prof. Dr. Clemens Thielen Professorship of Optimization and Sustainable Decision Making TUM Campus Straubing for Biotechnology and Sustainability Technical University of Munich (TUM) Am Essigberg 3 | 94315 Straubing | Germany Phone: +49 9421 187 175 Web: http://odm.cs.tum.de

Posted on 2026-04-10 by Magdalena Sroczan