PhD Position in Mathematics University of Tubingen Faculty of Science

PhD Position (m/f/d, E 13 TV-L, 65%) Faculty of Science, Department of Mathematics Application deadline: 31.03.2024 The Department of Mathematics at the University of Tübingen invites applications for a PhD position (m/f/d, 65% E 13 TV-L salary, for 3 years). The University of Tübingen is one of eleven German Excellence Universities. Particularly its cluster of excellence „Machine Learning: New Perspectives for Science“, together with connections to the Max Planck Institute for Intelligent Systems, makes Tübingen a very attractive location for mathematical and machine learning research. The successful candidate will be supervised by Stephan Eckstein from the Department of Mathematics and benefit from this vibrant research environment. The candidate should have a keen interest in conducting mathematical research with connections to machine learning and ideally also probability theory or stochastic optimization. Concretely, below are some of the planned research topics which the positions will relate to: Computational probabilistic methods, e.g., related to optimal transport Causal inference, graphical causal models, and their probabilistic aspects Quantization of probability distributions, information geometry, rate-distortion theory Regularization, approximation, and sample complexity of stochastic optimization problems Interpretability of neural networks, e.g., using canonical correlation analysis or autoencoders Mathematical aspects of graph neural networks Applicants must have obtained or be near obtaining a master’s degree in mathematics or a closely related field. The initial contract for the position will be for three years, with an extension of one additional year possible upon mutual agreement. Knowledge of German is not a requirement. The University of Tübingen is committed to equal opportunity, diversity, and inclusion. Female candidates, in particular, are explicitly invited to apply. Applications from equally qualified candidates with disabilities will be given preference. The employment is carried out by the central administration of the University of Tübingen. To apply, submit a cover letter, an academic CV (including research interests and, if applicable, a list of theses/publications/preprints and teaching experience) and transcripts for the most recent degree, all in a single PDF file, to stephan.ecksteinspam prevention@uni-tuebingen.de . Please provide names and contact details (including email addresses) of at least two persons who can provide feedback on your suitability for the position. The deadline for applications is 31.03.2024, and the starting date is flexible. If you have any questions, feel free to contact stephan.ecksteinspam prevention@uni-tuebingen.de . If you apply for this position please say you saw it on Computeroxy

PhD Position (m/f/d, E 13 TV-L, 65%)

Faculty of Science, Department of Mathematics

Application deadline: 31.03.2024

The Department of Mathematics at the University of Tübingen invites applications for a

PhD position (m/f/d, 65% E 13 TV-L salary, for 3 years).

The University of Tübingen is one of eleven German Excellence Universities. Particularly its cluster of excellence „Machine Learning: New Perspectives for Science“, together with connections to the Max Planck Institute for Intelligent Systems, makes Tübingen a very attractive location for mathematical and machine learning research. The successful candidate will be supervised by Stephan Eckstein from the Department of Mathematics and benefit from this vibrant research environment.

The candidate should have a keen interest in conducting mathematical research with connections to machine learning and ideally also probability theory or stochastic optimization. Concretely, below are some of the planned research topics which the positions will relate to:

Computational probabilistic methods, e.g., related to optimal transport
Causal inference, graphical causal models, and their probabilistic aspects
Quantization of probability distributions, information geometry, rate-distortion theory
Regularization, approximation, and sample complexity of stochastic optimization problems
Interpretability of neural networks, e.g., using canonical correlation analysis or autoencoders
Mathematical aspects of graph neural networks

Applicants must have obtained or be near obtaining a master’s degree in mathematics or a closely related field. The initial contract for the position will be for three years, with an extension of one additional year possible upon mutual agreement. Knowledge of German is not a requirement.

The University of Tübingen is committed to equal opportunity, diversity, and inclusion. Female candidates, in particular, are explicitly invited to apply. Applications from equally qualified candidates with disabilities will be given preference. The employment is carried out by the central administration of the University of Tübingen.

To apply, submit a cover letter, an academic CV (including research interests and, if applicable, a list of theses/publications/preprints and teaching experience) and transcripts for the most recent degree, all in a single PDF file, to stephan.ecksteinspam prevention@uni-tuebingen.de . Please provide names and contact details (including email addresses) of at least two persons who can provide feedback on your suitability for the position.

The deadline for applications is 31.03.2024, and the starting date is flexible. If you have any questions, feel free to contact stephan.ecksteinspam prevention@uni-tuebingen.de .

If you apply for this position please say you saw it on Computeroxy