If you want to join us on our mission to advance robust, reliable artifical intelligence together, please consider applying through one of the following channels. In general, we are looking for students with good analytical skills who are highly motivated, curious, and creative. A good mathematical understanding, very good coding, and strong English skills (reading, writing, and speaking) are required. Please also check our application guide. We look forward to hearing from you!

Postdocs

We are currently looking for talented postdocs! If you are interested, first check our application guide and then email Wieland with a research statement, resume/CV, list of two referees, code samples, and your transcripts. PostDocs will stay in our group for 2 to 3 years, work on cutting edge research, supervise Ph.D. students, to ultimatevly develop all necessary skills to be an independent researcher.

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PhD students

We are always looking for talented PhD student candidates. We only recruit students through the following doctoral programs

• International Max Planck Research School for Intelligent Systems (IMPRS)
• European Laboratory for Learning and Intelligent Systems (ELLIS)
• ETH Max Planck Centre for Learning Systems (CLS).

The application deadline is usually in November. Note, that we can only take students with a Masters degree or–in expectionally circumstances–students with a 4-year Bachelor’s.

Ph.D.s in our group typically last for 3-4 years during which we provide funding and a scholarship with which you can live comfortably in Tübingen.

Visiting PhD Students

If you are in your 2nd or 3rd year of your PhD, with at least one paper at a major conference, and at least 6 months to spent in our group (good research takes time!), please apply through our application form.

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Internships, Lab Rotations, Bachelor or Master Thesis

We continuously offer B.Sc. and M.Sc. theses and internships in the context of our current research. As our field advances quickly, we do not maintain a list of thesis projects; we determine these topics on demand. If you want to join us, we expect you to have a strong math background, good coding skills (ideally in Python / Pytorch), and that you took courses in machine learning or computer vision (or have other experience in these fields). We also advise candidates, to look through our past research before applying through our application form.

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