PhD Student (gn*) Cell Biology / Biophysics

University Hospital of Muenster (UKM), WWU; Deutschland; Vor Ort; EUR 45.000 - 65.000; Teilzeit

Zusammenfassung

A prominent medical research institution in Germany seeks a part-time researcher for a project on integrative biophysical and computational analysis of collective cell behavior. Candidates should have a strong background in cell biology or related fields, with an emphasis on interdisciplinary research. Excellent communication skills and hands-on experience with biophysical techniques are essential. This role offers a unique opportunity to contribute to pioneering research with advanced methods and technologies.

Qualifikationen

• Interest in interdisciplinary research.
• Background in relevant fields such as cell biology or biophysics.
• Experience with machine learning or biophysical techniques.

Aufgaben

• Bridging lab experimentation with quantitative theory.
• Studying biological systems using computational models.
• Developing methods for analyzing cell behavior.

Kenntnisse

Interest in bridging wet-lab experimentation and quantitative theory

Cell biology

Biophysics

Biomedical engineering

Quantitative imaging

Data analysis

Computer vision

Numerical modeling of biological systems

Machine learning/AI

Explainable AI (XAI)

Hands-on experience with biophysical techniques

Excellent English communication skills

Jobbeschreibung

Job Id:11205

Limited to 3 years | Part-time with 65% | Salary according to TV-L E13 | Institute of Medical Physics and Biophysics

We are UKM.We have a clear social mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility.

To meet our high standards every day, we are looking forward to your scientific expertise for our project:Integrative Biophysical and Computational Analysis of Collective Cell Behavior–ideally with you on board!

How do cells coordinate their behavior to migrate, self-organize, and remodel tissues? To answer this, we combine advanced quantitative image analysis, numerical modeling, and explainable AI (XAI) with state-of-the-art biophysical methods.Using techniques such as traction force microscopy, microfluidics, 3D bioprinting, and engineered 3D hydrogels, we will experimentally probe the mechanical forces and physical constraints that drive coordinated cell behavior. In parallel, we will develop and apply computational models and machine learning approaches to quantitatively analyze experimental data and predict emergent multicellular behaviors under varying mechanical and chemical environments.

For more information about our lab and ongoing research, please visit: https://www.medizin.uni-muenster.de/en/impb/das-institut/nanoscale-forces-in-cells.html or contact: Univ.-Prof. Dr. Milos Galic, T 0251 83-51040.

REQUIREMENTS

• Interested in bridging wet-lab experimentation and quantitative theory to study biological systems
• Background in one or more of the following fields:
  • Cell biology, biophysics, biomedical engineering, or related disciplines
  • Quantitative imaging, data analysis, or computer vision
  • Numerical modeling of biological systems or continuum mechanics
  • Machine learning/AI, particularly explainable AI (XAI)
  • Hands-on experience with biophysical techniques (e.g., traction force microscopy, microfluidics, 3D hydrogels)
• Excellent English communication skills and a strong interest in interdisciplinary research are essential

Apply now via our career portal until 12.11.2025 including:

• Letter of motivation (including research interests)
• CV
• List of publications (if applicable)
• Contact details for two academic referees