Research Assistant / PhD Candidate

Tuesday 10th March 2026

Contact Email for the Job Positing mattias.heinrich@uni-luebeck.de
Organization University of Lübeck
Location Lübeck, Germany
Title Research Assistant / PhD Candidate
URL https://stellenangebote.uni-luebeck.de/jobposting/893abe636051d6f5de299be1ae340475b0c3d8130
Closing date Mar 18, 2026
Description The Medical Deep Learning Group at the University of Lübeck (Prof. Mattias Heinrich) is seeking a motivated Research Assistant / PhD candidate to conduct independent research on implicit neural representations (INRs) for the 3D representation and analysis of medical imaging data.
The project focuses on developing novel deep learning methods based on implicit neural fields for modeling and analyzing 3D medical images, including ultrasound, MRI, and CT. The successful candidate will work on advanced machine learning approaches for medical image computing and contribute to publications at leading venues such as MICCAI, ICCV, or MIDL, while collaborating with clinical and interdisciplinary partners.
Applicants should hold (or be close to completing) a Master’s degree in Computer Science, Medical Informatics, Engineering, Mathematics, or a related field, with strong experience in machine learning / deep learning and programming in PyTorch and aim to reach B1-level German skills within a reasonable time frame.
The position is funded for 3 years (TV-L E13 90%) at the University of Lübeck, Germany.