Skip to content
PHD opening

PhD Candidate (f/m/x) in Data Science for Biomedical Imaging

Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt · Germany

Back to openings

About this position

Area of research:

PHD Thesis

Job description: PhD Candidate (f/m/x) in Data Science for Biomedical Imaging

103004

Full time

39 hrs./week

Neuherberg near Munich

At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing world. We believe that diverse perspectives drive innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives.

What biological information is hidden in biomedical imaging data – and how can we extract it reliably? The

Institute for Biological and Medical Imaging (IBMI)

is looking for a curious and persistent PhD candidate (f/m/x) who wants to discover new biological and medical insights from cutting-edge imaging and sensing technologies. You will work at the interface of data science, imaging technology and biomedical research , developing analysis strategies for complex real-world datasets ranging from preclinical experiments to human studies. We are looking for someone who enjoys understanding complex datasets in depth: identifying limitations and confounders, working with developers to understand the imaging pipeline, and finding robust ways to extract biological information even when datasets are small, heterogeneous or noisy.

We value scientific curiosity and persistence over blind application of standard pipelines. The right candidate will want to understand why an analysis works, what information it uses, when it fails, and how confident we can be in its conclusions.

Your tasks

  • You will work with unique datasets generated by cutting-edge optoacoustic imaging and sensing technologies, with the goal of discovering biological and medical information that has not yet been fully exploited.
  • You will have the freedom to ask what information is contained in these data and develop the computational and statistical approaches needed to extract it.
  • Working closely with experts in imaging technology, algorithm development, biology, and medicine, you will be able to understand the entire path from physical measurements to biological interpretation and develop robust analysis approaches tailored to challenging real-world biomedical data.

You will have the opportunity to:

  • Analyze unique preclinical and clinical imaging datasets and uncover novel biological and medical insights.
  • Develop innovative data analysis, image analysis, statistical, and machine learning methods, choosing the approach that best fits the scientific question.
  • Investigate systematically what information is contained in imaging data, how it can be extracted, and how confidently conclusions can be drawn.
  • Develop and apply approaches for uncertainty quantification, robust inference, and validation of biomedical imaging results.
  • Work directly with biologists, biomedical researchers, and clinicians to formulate relevant questions and interpret findings in their biological and medical context.
  • Contribute to turning advanced imaging and sensing technologies into tools that generate new biological understanding and clinically relevant information.

Your profile

  • Master Degree in Data Science, Computational Biology, Bioinformatics, Mathematics, Physics, Engineering, Computer Science or related disciplines with a strong academic record.
  • Strong background in data analysis, statistics, machine learning, scientific computing, or related computational methods.
  • Strong programming skills, preferably in Python , and experience working with scientific data.
  • Strong interest in using computational methods to discover biological or medical insights from imaging and sensing data.
  • Curiosity and willingness to engage with both the technical foundations of imaging methods and the biological or medical questions behind the data.
  • Strong analytical and problem-solving skills.
  • Independent, proactive, and collaborative working style.
  • Excellent communication skills and fluency in English.
  • Enthusiasm for interdisciplinary teamwork in an international research environment.

Desirable qualifications

  • Strong knowledge of statistics, statistical learning, or probabilistic modeling.
  • Experience collaborating with experimental scientists, biologists, or clinicians.
  • Interest or experience in LLMs, tool-using agents, or agentic workflows.
  • Experience in optoacoustics, ultrasound, optical imaging, spectroscopy, or related technologies.
  • Interest in entrepreneurship, innovation transfer, or commercialization.
  • Fluency in German

This position is embedded within major research and innovation programs funded by the European Union and the German government and offers exceptional opportunities for scientific visibility, professional growth, and future leadership.

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.

Managing Director Mike Frieser: „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.“

Get to know us

Benefits

  • Scientific Training: Helmholtz Munich Graduate School
  • Career counseling: Career Center for PhD candidates
  • Scientific Resources: State-of-the-art infrastruture and Core Facilities
  • Health Promotion: Sports, company doctor, mental health initiatives
  • International Staff Service: Support with the relocation and integration process in Germany

Interested in applying?

If you have any questions, feel free to contact Dr. Dominik Jüstel, +49 89 4140 9165, 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

Please send your application only via our online application tool and with the following documents:

  • Letter of motivation
  • Academic transcripts of records
  • CV
  • Letter of motivation
  • Academic transcripts of records

If you have obtained a university degree abroad, we will require further documents from you regarding the comparability of your degree at the latest by the time you start work.

Please request the Statement of Comparability for Foreign Higher Education Qualifications as early as possible.

We are committed to promoting a culture of diversity and welcome applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion or age. In case of equal qualifications, preference will be given to applicants with severe disabilities.

Learn more about diversity at Helmholtz Munich

Our commitment

  • Helmholtz Munich
  • Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
  • Institute of Biological and Medical Imaging
  • Ingolstädter Landstraße 1
  • 85764 Neuherberg

Learn more about how we use AI in recruiting.

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.

Members only · Free to join

Sign in to see the full opening

Get the entry requirements, funding, the supervisor's contact and a link to the original advert.

  • How to apply
  • Contact details

Free forever No credit card 30-second sign-up

Similar openings

Funding not stated 12 Nov 2026

PhD Thesis (M/F) Human neural stem cell lineages

Institut Curie - Research Center · Administration

  • Paris, France
  • Medical sciences

The hosting structure The Curie Institute Research Center Faithful to the legacy of its founder, the Institut Curie is deeply committed to promoting equal opportunities, diversity, and inclusion. Convinced that diversity of backgrounds and experiences contributes to collective performance, we strive to provide everyone with a respectful and equitable working environment and encourage all candidates to apply for our job opportunities. Context Laboratory The Baffet lab is located at Institut Curie, in the department of cell biology (UMR144). http://institut-curie.org/team/baffet The team investi

Fully funded 14 Nov 2026

Fully funded PhD positions in nanoscience

Max-Planck-Institut für Mikrostrukturphysik

  • Halle (Saale), Sachsen-Anhalt, Germany

The International Max Planck Research School for Science and Technology of Nano-Systems (IMPRS-STNS) invites outstanding Master’s graduates to apply for fully funded PhD positions at the Max Planck Institute of Microstructure Physics and the Martin Luther University Halle-Wittenberg — two institutions on one campus. Fully funded PhD positions in nanoscience Our IMPRS brings together world-leading expertise in physics, materials science, and chemistry to pioneer the design and understanding of atomically engineered materials for next-generation nano-systems. We design materials at the scale of

Funding not stated 15 Nov 2026

PhD position in EU Doctoral Network "PANDORA". Discovering pathomechanisms and novel drug optimisation for AMD (DC10)

Fundacion MEDINA · Screening and Target Validation

  • Granada, Spain
  • Medical sciences

Phenotypic drug discovery in age-related macular degeneration (AMD) The PhD position is part of the MSCA Doctoral Network PANDORA , focused on discovering Pathomechanisms and Novel Drug Optimization for AMD (Age-Related Macular Degeneration). Oxidative stress is a major contributor to retinal pigment epithelium (RPE) dysfunction in age-related macular degeneration (AMD) and may interact with genetic risk associated with dysregulation of the complement system, including the CFH Y402H risk variant. The PhD student will develop disease-relevant cellular models and phenotypic drug-screening approa

Funding not stated 15 Nov 2026

PhD scholarship: Development of new (allosteric) ligands

Vrije Universiteit Brussel (VUB)

  • Brussels, Belgium
  • Medical sciences
  • Steven Ballet

1 - Working at the VUB For more than 50 years, the Vrije Universiteit Brussel has stood for f reedom, equality and solidarity , and this is very much alive on our campuses among students and staff alike. At the VUB, you will find a diverse collection of personalities: innovators pur sang, but above all people who are 100% their authentic selves . With some 4,000 employees , we are the largest Dutch-speaking employer, in the private sector, in Brussels ; an international city with which we are only too happy to connect and where (around) our 4 campuses are located. Add to this our principle of