PhD Position at University of Tübingen: The Department of Mathematics at the University of Tübingen is inviting applications for a PhD position (m/f/d) with a 65% E 13 TV-L salary, initially for a period of three years, with a possible one-year extension. The University of Tübingen, known for its excellence in research, particularly in the field of “Machine Learning: New Perspectives for Science,” provides an attractive setting for mathematical and machine learning research. The successful candidate will be supervised by Stephan Eckstein from the Department of Mathematics, benefiting from the dynamic research environment.
Position Details:
| Designation | PhD Position (m/f/d) |
|---|---|
| Research Area | Mathematical research with connections to machine learning, probability theory, or stochastic optimization |
| Location | University of Tübingen, Germany |
| Salary | 65% E 13 TV-L |
| Contract Duration | 3 years, with a possible 1-year extension |
| Application Deadline | 31.03.2024 |
Eligibility/Qualification:
- Master’s degree in mathematics or a closely related field.
- Keen interest in mathematical research with connections to machine learning.
- Knowledge of German is not a requirement.
- Commitment to equal opportunity, diversity, and inclusion.
Job Description: The successful candidate will engage in mathematical research with a focus on machine learning, probability theory, or stochastic optimization. Planned research topics include computational probabilistic methods, causal inference, quantization of probability distributions, regularization of stochastic optimization problems, interpretability of neural networks, and mathematical aspects of graph neural networks.
How to Apply: Interested candidates should submit a single PDF file containing:
- Cover letter
- Academic CV (including research interests, list of theses/publications/preprints, and teaching experience)
- Transcripts for the most recent degree
Submit the application to stephan.eckstein@uni-tuebingen.de. Provide names and contact details of at least two persons who can provide feedback on your suitability for the position.
Last Date for Apply: 31.03.2024
Disclaimer: This job post is based on information from a reliable source. Applicants are encouraged to verify details from the official University of Tübingen website or contact Stephan Eckstein directly for any further information. The University is an equal opportunity employer, and the details mentioned in the post are subject to change. Interested individuals are advised to check the official site for the latest updates.
