⛔ This position is no longer available.
University: Helmholtz Munich
Country: Germany
Deadline: Not specified
Fields: Biological Physics, Computational Biology, Biophysics, Applied Mathematics, Complex Systems
Topic: Germany – Postdoc in Biological Physics at Helmholtz Munich
Fields: Biological Physics, Computational Biology, Biophysics, Applied Mathematics, Complex Systems
Position: postdoc
Country: europe
Deadline: Not specified
University: Helmholtz Munich
Real Country: Germany
Main Category: life & medical sciences
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Are you passionate about integrating physics, computation, and biology to address fundamental questions in developmental science? If you aspire to work at the forefront of interdisciplinary research, contributing to innovative models that unravel the complexity of embryonic development, this postdoctoral opportunity at Helmholtz Munich could be your next career-defining step.
About the University or Research Institute
Helmholtz Munich, officially known as Helmholtz Zentrum München, stands as one of Europe’s leading research centers dedicated to environmental health and biomedical research. Located in Munich, Germany—a city renowned for its vibrant scientific community and high quality of life—the institute fosters a collaborative and international environment that attracts top talent from around the globe. Helmholtz Munich is recognized for its pioneering work in translating scientific discoveries into real-world health solutions, leveraging state-of-the-art infrastructure, and cultivating partnerships with prestigious institutions such as the University of Oxford.
Researchers at Helmholtz Munich benefit from excellent career development programs, access to advanced core facilities, and a strong commitment to diversity and work-life balance. The institute’s international staff services, family support options, and health promotion initiatives make it an ideal destination for scientists seeking both professional growth and personal well-being.
Research Topic and Significance
The central research focus of this postdoctoral position is the development of advanced physical and computational models that integrate transcriptional and biomechanical data during mammalian gastrulation—a critical stage in early embryonic development. This interdisciplinary project, undertaken in collaboration with Professor Shankar Srinivas at the University of Oxford and led by Dr. Antonio Scialdone’s group at Helmholtz Munich, aims to bridge the gap between molecular mechanisms and mechanical forces in shaping embryogenesis.
Understanding how gene expression patterns and mechanical properties interact during development is a major challenge in developmental biology. By employing physics-informed machine learning and computational modeling, this research seeks to provide new insights into the regulatory networks and physical principles that drive tissue morphogenesis. The outcomes have the potential to advance our knowledge of congenital disorders, regenerative medicine, and the fundamental processes that underlie life itself.
Project Details
This postdoctoral position is embedded within an ambitious, interdisciplinary team at Helmholtz Munich, with close ties to the University of Oxford. The successful candidate will join Dr. Antonio Scialdone’s group, a leading force in the application of AI and computational approaches to biological questions.
Key responsibilities include:
– Developing computational pipelines to integrate single-cell transcriptomics, spatial gene expression, and biomechanical measurements.
– Implementing physics-informed machine learning models to predict mechanical properties from cell morphology.
– Collaborating with experimental teams to merge transcriptomic and imaging data with computational models, and actively participating in experimental design.
– Contributing to high-impact publications and presenting research at international conferences.
The position offers access to cutting-edge computational infrastructure, strong mentorship, and opportunities for professional networking and international exposure. The initial contract is for two years, with the possibility of extension, and includes competitive salary and benefits under the German public sector agreement.
Candidate Profile
This position is ideally suited for candidates with a PhD (or near completion) in Physics, Applied Mathematics, Complex Systems, or a closely related field. The ideal applicant will demonstrate:
– A robust background in mathematical modeling, machine learning, or biophysical simulations.
– Demonstrated interest in biological systems, particularly in biological modeling and transcriptomic data analysis.
– Proficiency in programming languages such as Python or R, and familiarity with high-performance computing environments.
– Independence, creativity, and the ability to thrive in a collaborative, interdisciplinary research setting.
Applicants should be eager to work at the interface of computational science and biology, and possess strong communication skills to contribute to a dynamic team environment.
Application Process
Applications are to be submitted exclusively through the Helmholtz Munich online application tool. Required documents include a CV, cover letter, and contact details for at least two referees. The recruitment process is decentralized, with applications reviewed directly by the relevant specialist department.
For further details and to submit your application, please visit the official job posting:
https://jobs.helmholtz-muenchen.de/jobposting/d794ca0a7dcfed3f3f80c61eb74dd8f7eaf99240
Conclusion
This postdoctoral opportunity at Helmholtz Munich offers a unique platform to advance your research career at the intersection of physics, computation, and developmental biology. If you are motivated by interdisciplinary science and aspire to contribute to groundbreaking discoveries in a supportive and stimulating environment, you are encouraged to apply. Be sure to explore similar opportunities and stay informed about the latest openings in the field.
Questions & Answers
Question: What makes Helmholtz Munich an attractive destination for postdoctoral researchers?
Helmholtz Munich offers a vibrant international environment, access to world-class research facilities, comprehensive career development programs, and strong support for work-life balance, making it a top choice for ambitious scientists.
Question: What is the main scientific challenge addressed by this position?
The position aims to integrate transcriptional and biomechanical data to understand how gene expression and mechanical forces interact during mammalian gastrulation, a key process in embryonic development.
Question: What computational skills are required for this role?
Applicants should be proficient in programming (Python, R), experienced with mathematical modeling or machine learning, and familiar with high-performance computing.
Question: Is prior experience in biological modeling mandatory?
While not strictly mandatory, prior experience in biological modeling and transcriptomic data analysis is highly valued and will strengthen an application.
Question: What kind of collaboration can be expected in this project?
The project involves close collaboration with experimental teams, active participation in experimental design, and partnership with leading experts from the University of Oxford.
Question: Are there opportunities for professional growth?
Yes, Helmholtz Munich provides tailored postdoc programs, training, and opportunities to present at international conferences, supporting both scientific and career advancement.
Question: What benefits are offered beyond research?
Benefits include family support, international staff services for relocation, health promotion initiatives, on-site childcare, and generous annual leave.
Question: How should I apply for this position?
Applications must be submitted via the official Helmholtz Munich online portal, as detailed in the job posting.
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