PhD Candidate in Computational Imaging Mass Spectrometry
Join a research team at the intersection of imaging mass spectrometry, digital pathology, and computational biology.
Best for:Best for candidates with a strong background in bioinformatics, data science, or computational biology and an interest in spatial omics and pathology.
Overview
Helmholtz Munich is seeking a PhD candidate to join the Analytical Pathology research unit. The project focuses on integrating spatial metabolomics and exposomics data with tissue morphology to characterize molecular heterogeneity and functional tissue compartments. The successful candidate will develop computational methods to address biological research questions rather than focusing solely on technical implementation. This role offers the opportunity to work in a state-of-the-art research environment with access to core facilities and professional development support.
What you'll do
- Formulate independent scientific questions at the intersection of imaging mass spectrometry, computational biology, and digital pathology.
- Develop and validate computational methods for integrating molecular imaging data with tissue morphology.
- Characterize spatial metabolic and chemical patterns within defined tissue compartments.
- Evaluate and advance statistical, image analysis, and machine learning approaches.
- Create interpretable models to generate new scientific hypotheses and testable biological relationships.
- Independently prepare scientific publications for a cumulative PhD thesis.
Requirements
Degree required: Master's degree or equivalent in bioinformatics, computational biology, data science, computer science, biostatistics, mathematics, physics, or biomedical engineering.
Degree offered: PhD
Language: Excellent written and spoken English.
Instruction: English
- Strong programming skills.
- Sound knowledge of statistics, machine learning, image analysis, or spatial data analysis.
- Demonstrated ability to conduct independent research and develop scientific hypotheses.
- Ability to assess models for scientific validity and biological plausibility.
- Willingness to engage with histology, tissue morphology, and metabolic processes.
- Must hold an excellent Master's degree or equivalent.
- Candidates with foreign degrees must provide a Statement of Comparability for Foreign Higher Education Qualifications.
Funding & terms
How to apply
Applications must be submitted via the online application tool. The motivation letter should describe an independent scientific or data analysis project, including the research question, personal contribution, methodology rationale, challenges faced, and scientific interpretation.
- CV
- Cover letter
- Degrees/Diplomas/Certificates
Contact
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