Open Positions

PhD Student for Machine Learning in Clinical Neurology

We are looking for a highly motivated and skilled PhD student to apply and develop machine learning methods in clinical neurology. In a collaboration with the Hertie Institute for Clinical Brain Research, the candidate will have several opportunities to work on the prediction of factors and progression of neurodegenerative diseases and epilepsy, using rich longitudinal clinical and molecular data.

The ideal candidate has a degree in machine learning, physics, math, electrical engineering, or related fields, and a strong background in mathematics, machine learning, statistics, and ideally causal learning, with prior experience in working on life science/clinical data.

We offer a thriving and interactive environment in one of Europe’s leading location for machine learning, and the opportunity to directly work with clinicians and data from the large neurology section of Tübingen’s university hospital.

Tübingen is one of the leading locations for machine learning in Europe, offering a scientific inspiring and open enviroment to develop the intelligent systems of tomorrow. The International Max Planck Graduate School for Intelligent Systems is Germany’s largest graduate program for machine learning and related topics.

We particularly encourage women and other underrepresented groups in STEM fields to apply. Please check the How to apply section below.

How to apply

We are always excited to receive applications from people to join our team. If you decide to reach out, please address the following points in your initial email (note that these lists are inclusive; PostDoc applicants have to submit all points below)


  • What are you applying for (lab rotation, research assistant, PhD position, postdoc position, etc.)?
  • What is your envisioned time frame (start date, end date)?
  • Do you bring own (partial) funding or will you need to be funded from here?

PhD position and beyond

  • Curriculum Vitae (clearly stating your education and scientific background)
  • Statement of motivation why you would like to join the lab (pdf, max 1/2 page)
  • Links to code you have written (e.g. github or bitbucket)
  • If applicable, at most two publications or pre-print you (co)-authored


  • A concise (pdf, max 1/2 page) “research proposal” on a project you would be interested working on. This is not binding but helps to get the conversation started. Applicants answering calls for a specfic project can ignore this.