Postdoc Position at University of Tübingen: The University of Tübingen’s Department of Mathematics is offering a Postdoc position for two years, focusing on mathematical research with connections to machine learning, probability theory, and stochastic optimization. The position is within the cluster of excellence “Machine Learning: New Perspectives for Science,” providing a vibrant research environment.
Designation: Postdoc (m/f/d, 100% E 13 TV-L salary, for 2 years)
Research Area: Mathematical Research with Connections to Machine Learning, Probability Theory, Stochastic Optimization
Location: University of Tübingen, Germany
Eligibility/Qualification: Doctoral degree in mathematics or a closely related field. Knowledge of German is not required.
Job Description:
- Conduct mathematical research with connections to machine learning, focusing on topics such as optimal transport, causal inference, quantization of probability distributions, stochastic optimization, interpretability of neural networks, and mathematical aspects of graph neural networks.
- Participate in departmental teaching activities.
How to Apply: Submit a single PDF file containing:
- Cover letter
- Academic CV (including research interests, list of publications/preprints, and teaching experience)
- Transcripts for the most recent degree
- Names and contact details of at least two persons who can provide feedback on your suitability for the position
Send the application to stephan.eckstein@uni-tuebingen.de.
Last Date for Apply: 31 March 2024
Starting Date: Flexible
Disclaimer: This job post is sourced from a reliable channel. Verify details and find more information on the official University of Tübingen website.
