TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity and transfer of science to society. As a modern employer, it offers attractive working conditions to all employees in teaching, research, technology and administration. The goal is to promote and develop their individual abilities while empowering everyone to reach their full potential. TUD embodies a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and

Within a DFG-funded project, you will develop data-inspired and data-driven models of sarcomere assembly. This will involve mean-field models and agent-based simulations. Additionally, depending on your aptitude, you can analyze topological defects of smectic-liquid crystal order in developing cross-striated muscle, or use machine-learning to expand existing custom-built image analysis pipelines (Python, Matlab).
To learn more about this project, we highly recommend checking out two exemplary recent publications (and maybe even the corresponding code and image repositories):

• Rodier et al.: Muscle growth by sarcomere divisions. bioRxiv (2024)
• Kolley et al.: Mechanisms of Sarcomere Assembly in Muscle Cells Inferred from Sequential Ordering of Myofibril Components. PRX Life (2024)
  You will be involved in writing scientific publications, presenting your research internally and at internal conferences, and, if you want, gain first experience in applications for third-party funding.

• outstanding Master-level university degree in Physics, Applied Mathematics, or a related field
• keen interest in theoretical biological physics
• programming skills and first experience in data and image analysis
• excellent communication and presentation skills in English
• high self-motivation and independent, target- and solution-driven work attitude
• ideally first experience in theory-experiment collaborations

We offer the opportunity to contribute to exciting research projects right at the intersection of Physics and Biology, while starting your academic or professional career. You will be embedded within the highly interactive and interdisciplinary research environment of the Cluster of Excellence “Physics of Life” and the Dresden Life Science Campus. Employment conditions include a comprehensive package with full social benefits. Dresden offers a high-quality of life with a relatively low cost-of-living.

TUD strives to employ more women in academia and research. We therefore expressly encourage women to apply. The University is a certified family-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment.
Please submit your detailed application documents by May 9, 2025 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to benjamin.m.friedrich@tu-dresden.de or to: TU Dresden, Heisenberg-Professur für Biologische Algorithmen, Herrn Prof. Dr. Benjamin Friedrich, Helmholtzstr. 10, 01069 Dresden, Germany. Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.

Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis.