11.05.2021 | Striatech GmbH

PhD Position (computer scientist / data scientist) for robust tracking and behavioral characterization of lab animals (full-time)

PhD Position (computer scientist / data scientist) for robust tracking and behavioral characterization of lab animals (full-time)

To develop novel machine learning methods, Striatech GmbH, the Hertie Institute for Clinical Brain Research, and the University of Tübingen joined forces. The challenge is to automatically extract postural models and behavioral states of laboratory mice in studies of epilepsy. We are looking for a highly motivated and skilled Ph.D. student. This research is under the supervision of Dr. Fabian Sinz from the IRG Neuronal Intelligence Institute at the University of Tübingen. The candidate is expected to devise novel machine learning models for complex tracking and behavioral characterization tasks from video.

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 computer vision.

We offer a thriving and interactive environment in one of Europe’s leading locations for machine learning, and the opportunity to develop state-of-the-art machine learning tools for clinically relevant applications. Tübingen is one of the leading locations for machine learning in Europe, offering a scientific inspiring, and open environment 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.

Sounds appealing? Then we want to hear from you! We particularly encourage women and other underrepresented groups in STEM fields to apply. A complete application should include a statement of motivation in addition to a strong CV. Please also provide links to your self-written code (e.g. on Github or Bitbucket) and -if available- publications you (co-) authored.

Sparked your interest? Please send your application to fabian.sinz@uni-tuebingen.de.

We are always excited to receive applications from people to join the Sinz lab and the cooperating StriaTech team.

Striatech GmbH
Vor dem Kreuzberg 17
72070 Tübingen
www.stria.tech
07071 53913-0
info@stria.tech

Sinz Lab
University of Tübingen
AI Research Building
Maria-von-Linden-Straße 6
72076 Tübingen
www.sinzlab.org
07071 2978070
fabian.sinz@uni-tuebingen.de