PhD Position in Foundations of Machine Learning at TU Braunschweig 2026

The newly founded Institute for Statistics and Foundations of Machine Learning (Prof. Nicole Mücke) and the Institute for Applied Mechanics - Division Data-driven modeling of mechanical systems (Prof. Henning Wessels) at TU Braunschweig are looking for applicants for a PhD position in the field of Statistical Learning Theory/Foundations of Machine Learning.

Table of Content

• Summary
• Benefits
• Requirements
• Application Documents
• Application Deadline
• How To Apply

Summary

• Application DeadlineMarch 30, 2026
• Study LevelPhD
• SponsorTechnical University of Braunschweig (TU Braunschweig)
• City to studyLower Saxony
• School to studyTechnical University of Braunschweig (TU Braunschweig)
• Eligible CountryAll Countries

Benefits

• The opportunity to work on an exciting, forward-looking research topic in an inspiring academic environment as part of the university community.
• A vibrant campus life in an international atmosphere, with numerous intercultural activities and international collaborations.
• Salary in accordance with the German public sector pay scale TV-L • Flexible working hours and part-time options, as well as a family-friendly university culture, certified since 2007 by the “Family-Friendly University” audit.
• Interdisciplinary and cross-faculty support on the path to the doctoral degree through the Graduate Academy GradTUBS.

Requirements

• You hold a completed university degree (Master’s degree or equivalent) in Mathematics (ideally with a focus on Statistics, PDEs or Machine Learning).
• You have good command of both German and English.

Desirable Qualifications:

• Solid background in probability theory, statistics, optimization, or statistical learning theory.
• Experience with data-driven methods such as kernel methods or neural networks.
• Interest in theoretical aspects of machine learning, including generalization, stability, regularization, or uncertainty quantification.
• Programming experience in at least one scientific programming language (e.g. Python, Julia).
• Motivation to work on mathematically rigorous research questions in an interdisciplinary and application-oriented research environment.

Application Documents

Please prepare your application in German or English as a single PDF document consisting of the following:

• Cover letter (including a brief description of your motivation),
• Curriculum vitae,
• Academic records (grades from your previous studies, including information on the grading scale).

Check also:
2026 Fully Funded Humboldt Research Fellowship
2026 Konrad Adenauer Foundation Scholarship

Application Deadline

How To Apply

• Please send your application, preferably by email, to nicole.muecke(at)tu-braunschweig.de.

For more information, kindly visit the TU Braunschweig webpage.