Postdoctoral Fellowship on Deep Probabilistic Models for Robust Representation Learning (m/f/d)
We expect this project to advance our understanding as well as the robustness and interpretability of probabilistic deep generative models. An improved analytical understanding of probabilistic models such as VAEs can help us to determine their limitations and push their boundaries. We are particularly interested in going beyond traditional statistical representations by moving towards representations that support notions of distribution change, intervention, and other forms of robustness. This will ultimately allow us to identify existing and novel mechanisms that lead to learning more versatile representations supporting artificial intelligence. It may also enable better interpretability and allow more meaningful interaction with humans.
We are looking for a qualified postdoctoral researcher to join us in advancing the understanding of deep probabilistic models for robust learning.
What we are looking for
Ideally, you bring along a strong research background in machine learning, statistics, probabilistic modeling, artificial intelligence or a related field. You hold (or expect to shortly receive) a PhD in computer science, statistics, electrical engineering, mathematics or a related field and your research ability is demonstrated by journal and conference publications at the top venues of the field.
We are looking forward to meet someone with an active participation in scientific life and activity in the scientific community. The position also requires the ability to work independently in a highly collaborative and interdisciplinary environment.
The position offers a 3-years full time contract based on the German payscale of the collective wage agreement for the public service (TVöD Bund). It is based at the Max Planck Institute for Intelligent Systems in Tübingen, Germany.
We would like you to start this project as soon as possible, at your earliest convenience.
The Tübingen AI Center
The Max Planck Institute for Intelligent Systems and the University of Tübingen have joined forces to shape the next generation of machine intelligence developing more robust, efficient and accountable learning systems. Its mission is to set up a novel public research institution to attract the best scientists to advance AI while also generating a positive impact in medicine, science, and technology. Tübingen AI Center (https://tuebingen.ai/) is part of a larger network, formed at the national level by the network of BMBF competence centers, and at the European level by close cooperation with units in a number of European countries (https://ellis.eu).
How to apply
Please send your application (CV, motivational letter, transcripts, recommendation and publication list) as a single PDF to Mrs. Lidia Pavel lidia.pavel@tuebingen.mpg.de
If you wish to send a hard copy application, you may do so. Please address it to:
Max Planck Institute for Intelligent Systems
Prof. Dr. Bernhard Schölkopf
Max-Planck-Ring 4
72076 Tuebingen
Germany
The Max Planck society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply. The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. The Max Planck society strives for gender diversity and equality.