PhD in the Field of Computational Modelling and Simulation of Biological Tissue Adaptation

About us

The University of Stuttgart represents outstanding, world-renowned research and first-class teaching in one of Europe's most dynamic industrial regions. As a reliable employer, the university supports and promotes the academic careers of its researchers. It is proud of its employees, who currently come from over 100 different countries. The university is a partner for knowledge and technology transfer and focuses on multidisciplinarity.

The Continuum Biomechanics and Mechanobiology research group (Prof. Oliver Röhrle) is one of the two chairs at the Institute for Modelling and Simulation of Biomechanical Systems. The group focuses on developing and applying computational and experimental methods to investigate the neuromuscular system and related fields.

We offer

• A dynamic and innovative research environment
• Working in an interdisciplinary and intercultural team
• Training programs and conference visits
• Collaborations with national and international scholars
• Supervision for your PhD project

About the project and the position

The research project focuses on the modelling and simulation of skeletal muscle adaptation in the framework of multiscale continuum biomechanics. The aim of the project is the in-silico modelling of healthy and fibrotic tissue as well as the mathematical description of the mechanobiological processes that drive microstructural tissue changes. The research will be conducted in close collaboration with experimentalists, which offers great possibilities for model data acquisition as well as model validation.

About you

The interdisciplinary nature of biomechanics requires the combination of mechanical and mathematical skills with biological system knowledge. We seek candidates with a strong background in at least one of the following fields:

• continuum mechanics
• material theory
• numerical methods in mechanics
• biological tissue modelling

Programming skills in mathematical software tools like Matlab and/or languages like Python are expected. Knowledge about homogenisation theory and multiscale modelling are highly beneficial. Further, the candidate is expected to have an excellent master’s degree (or equivalent) in studies with a strong mechanical and numerical focus, such as, e.g., civil engineering, simulation sciences, biomedical engineering or applied mathematics. The ability to work in an interdisciplinary team, good communication skills and the willingness to take on teaching responsibilities are essential requirements.

Please submit your complete application via JoinUS: https://bit.ly/3SIfniG.

Publication date: November 20th, 2023
JoinUs ID: 1373
Application Deadline: January 12th, 2024
Anticipated Start Date: April 1st, 2024

If you have any questions regarding this application, please contact jobs@imsb.uni-stuttgart.de.

At the University of Stuttgart, we actively promote diversity among our employees. We have set ourselves the goal of recruiting more female scientists and employing more people with an international background, as well as people with disabilities. We are therefore particularly pleased to receive applications from such people. Regardless, we welcome any good application.

We cannot reimburse any costs arising from the performance of job interviews.

Women who apply will be given preferential consideration in areas in which they are underrepresented, provided they have the same aptitude, qualifications and professional performance. Severely disabled applicants with equal qualifications will be given priority.

As a certified family-friendly university, we support the compatibility of work and family, and of professional and private life in general, through various flexible modules. We have an employee health management system that has won several awards and offer our employees a wide range of continuing education programs. We are consistantly improving our accessibility. Our Welcome Center helps international scientists get started in Stuttgart. We support partners of new professors and managers with a dual-career program.

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