PhD position in Neuroscience (Saarland University)

Stellenbeschreibung:

Organisation/Company CIPMM - Systemic Neurophysiology Department Systemic Neurophysiology Research Field Neurosciences » Neurobiology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 15 Feb 2026 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The Sauer lab at the Center for Integrative Physiology and Molecular Medicine (CIPMM) at Saarland University has an opening for a highly motivated PhD candidate to explore representational drift in cortical circuits.

Who we are:

Our group aims to understand representational drift and inter-areal communication in the brain. We use a combination of in vivo calcium imaging and Neuropixels recordings as well as computational modelling techniques. The department is embedded in the vibrant neuroscience community at the CIPMM and offers a highly interdisciplinary research environment.

Your role:

perform cutting edge research with advanced techniques, including high-density extracellular recordings with Neuropixels or calcium imaging
analyse complex datasets to understand how communication between brain areas is shaped by representational drift
MSc (or equivalent) in Neuroscience or related fields
Fluency in English
Prior experience with in vivo calcium imaging (1 or 2-photon) or extracellular spike recording (e.g., Neuropixels) is beneficial
Experience in working with mouse models
Advanced programming skills in Python are beneficial
Strong motivation and ability to work both independently and collaboratively as a member of interdisciplinary teams
A certificate to work with animals in the European Union (e.g. FELASA) is beneficial

The position is initially for 3 years with the possibility to prolong. The salary scheme follows the German TV-L 13 (100%).

Please send your application including a CV, a brief description of your previous research experience and motivation, and contact details of at least two references in a single pdf file to .