Open position for a PhD student in explainable ML

The Theory of Machine Learning group at the University of Tuebingen, led by Prof. Ulrike von Luxburg, is looking for a PhD student in the field of explainable machine learning.

You will work on the theoretical analysis of explanation algorithms, a field that is highly relevant when it comes to applying machine learning algorithms in social contexts. This work requires strong mathematical skills (the goal is to formulate theorems and prove them), implementation skills (to gain intuition and validate your results), and an open mind when it comes to talking to researchers in neighboring disciplines such as social sciences, ethics or law.

Tübingen is a small university town in the south of Germany, and one of the hotspots for machine learning research in Europe. You will be located on the Tübingen ML Research Campus, with more than 100 PhD students and 20 faculty members in machine learning.

The PhD student is payed according 75% E13 German payscale. The position would run for 3+1 years, the starting date is flexible.

The formal requirement for the PhD student position is a completed Master degree in Computer Science, Mathematics, Statistics or related subjects, with strong background in mathematics and machine learning.

In order to apply, please create a first, single pdf file that contains the following material in the given order: a letter explaining why you are interested in our research, CV, contact details of two potential references (link to homepage, email address), certificates of your high school and undergraduate degrees (Bachelor, Master), including all transcripts of records. In a second pdf file, please submit your favorite paper or your master thesis. Please ensure both files are named with your last name and send them to Patrizia Balloch. There is no firm deadline, we will screen applications as they come in, starting Jan 2024.

I am specifically dedicated to icrease the number of women in research and want to specifically encourage qualified female candidates to apply.