PhD Student for Machine Learning in Epilepsy and Behavior

How to apply

Who to contact?	fabian.sinz@uni-tuebingen.de
Email subject	Start with "[ML PhD]"
What to include?	All applications What degree do you (soon) hold (e.g. "Master in Applied Data Science")? Curriculum Vitae Statement of motivation (max 500 words) outlining your personal interest in this research area. Your latest transcript of records A short list of which relevant skills you have and which you would like to acquire. Links to code you have written (e.g. github or bitbucket) If applicable, at most two publications or pre-print you (co)-authored Known programming languages and experience Names and emails of two references. Possible start date If you apply with your own project idea Do you bring funding or not? 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.

Project Description

We are looking for a highly motivated and skilled PhD student to develop machine learning methods for automatic extraction of postural models and behavioral states, and their combination with physiological data in epileptic mice. This project is a collaboration with the startup StriaTech and the Hertie Institute for Clinical Brain Research. The candidate is expected to develop novel machine learning models for complex multimodal data to quantify the clinical manifestation and progression of neurodegenerative diseases in animal models and patients.

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.