Website Helmholtz Munich
Your tasks
- Develop independent scientific questions at the interface of imaging mass spectrometry, computational biology, and digital pathology
- Develop and validate computational methods for the integrated analysis of molecular imaging data and tissue morphology
- Characterize spatial metabolic and chemical patterns within biologically defined tissue compartments
- Critically evaluate and advance statistical, image analysis, and machine learning approaches
- Develop interpretable models that reveal biologically testable relationships and generate new scientific hypotheses
- Independently prepare scientific publications as part of a cumulative PhD thesis
Your profile
- An excellent Master’s degree or equivalent qualification in bioinformatics, computational biology, data science, computer science, biostatistics, mathematics, physics, biomedical engineering, or a related field
- Demonstrated ability to think scientifically, develop hypotheses, and conduct independent research
- Very good programming skills and sound knowledge of statistics, machine learning, image analysis, or spatial data analysis
- The ability to assess algorithms and models not only from a technical perspective, but also in terms of their scientific validity and biological plausibility
- A strong willingness to engage with histology, tissue morphology, metabolic processes, and the experimental origin of the data
- Analytical depth, scientific creativity, and excellent written and spoken English
This position provides the opportunity for you to build specialist knowledge whilst developing key professional experience, both of which will help you to make strides in your scientific career.
Remuneration and social security benefits are based on the German Collective Wage Agreement for Public-Sector Employees at Federal Level (EG 13 50% TV EntgO Bund). In addition, there is also the possibility of receiving an allowance if the applicable conditions are met. The position has an (initial) fixed term of three years but may be extended under certain circumstances.
„We believe that diversity is the key to groundbreaking research and innovative solutions. Our flexible working models and remote options create a supportive environment for balancing work and family life. For us, contributing to a healthier society in such an inspiring workplace is truly meaningful.“
Benefits
Scientific Training
Helmholtz Munich Graduate School
Career counseling
Career Center for PhD candidates
International Staff Service
Support with the relocation and integration process in Germany
Health Promotion
Sports, company doctor, mental health initiatives
Scientific Resources
State-of-the-art infrastructure and Core Facilities
Recreation
30 days annual leave, flexi days, plus public holidays
Interested in applying?
If you have any questions, feel free to contact Prof. Dr. Axel Karl Walch, axelkarl.walch@helmholtz-munich.de, who will be happy to help.
Our recruiting is decentralized – your application will be reviewed directly by the specialist department in which you could work in the future.
More information about our application process
- CV
- Cover letter
- Degrees/Diplomas/Certificates
Your Application:
In your motivation letter, please use an independently conducted scientific or data analysis project to describe the research question, your personal contribution, the rationale behind the selected methods, a major challenge, and your scientific interpretation of the results. Selection will not be based solely on the ability to apply existing software or standardized pipelines. Particular emphasis will be placed on the ability to understand computational methods scientifically, develop them further, and use them to generate new biological knowledge.
If you have obtained a university degree abroad, we will require further documents from you regarding the comparability of your degree by the time you start work at the latest. Please request the Statement of Comparability for Foreign Higher Education Qualifications as early as possible.
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