Doctoral Candidate (m/f/d) in Data Science

About

The Max Delbrück Center for Molecular Medicine in the Helmholtz Association aims to change the medicine of tomorrow through our discoveries today. At our locations in Berlin-Buch, Berlin-Mitte, Heidelberg, and Mannheim, our researchers collaborate across disciplines to decipher the complexity of diseases at a systems level – from molecules and cells to organs and the entire organism. In partnerships with science, clinical practice, and industry, as well as in global networks, we strive to translate biological insights into applications for early detection of health deviations, development of personalized therapies, and ultimately, prevention of diseases. Founded in 1992, the Max Delbrück Center currently inspires and supports a diverse talent pool of around 1,800 people from over 70 countries. We are funded 90% by the federal government and 10% by the state of Berlin.

The Helmholtz Einstein International Berlin Research School in Data Science (HEIBRiDS) invites applications for fully-funded doctoral positions in an excellent, interdisciplinary, and international research environment.

HEIBRiDS projects promote the integration of data science methodology with applications in Molecular Medicine, Materials & Energy, Earth & Environment, Geosciences, and Astronomy, and cover topics in the following areas:

• Machine Learning
• Deep Learning
• Explainable AI
• Large Language Models
• Mathematical Modeling
• Statistical Modeling
• Imaging Data Science

Research is conducted at one of the Helmholtz Centers in the greater Berlin area:

• Helmholtz-Zentrum für Geoforschung (GFZ)
• Helmholtz-Zentrum Berlin (HZB)
• Max-Delbrück-Centrum für Molekulare Medizin (MDC)

In collaboration with BIFOLD or one of the Berlin partner universities:

• Charité – Universitätsmedizin Berlin
• Freie Universität Berlin
• Humboldt-Universität zu Berlin
• Technische Universität Berlin

If you feel comfortable in an interdisciplinary environment and are enthusiastic about groundbreaking research, we invite you to become part of our international community in Berlin!

Your Responsibilities

• Conduct independent research in Data Science within a doctoral project
• Develop and apply methods such as Machine Learning, Deep Learning, Explainable AI, or Large Language Models
• Mathematical and statistical modeling of complex datasets
• Analysis and evaluation of data in various application fields (e.g., Molecular Medicine, Energy, Environment, Geosciences, Astronomy)
• Interdisciplinary collaboration with researchers from different disciplines and institutions
• Participation in international research projects and collaborations
• Presentation and publication of research results at conferences and in scientific journals
• Participation in structured training and qualification programs of the graduate school (HEIBRiDS)
• Close collaboration with supervising scientists at Helmholtz Centers and partner universities

Your Profile

Who we are looking for:

• Engaged graduates with a strong interest in Data Science
• Master's degree in a quantitative discipline (e.g., Computer Science, Engineering, Physics, Statistics, Mathematics) or in related applied fields (e.g., Bioinformatics or Geoinformatics)
• Applicants who have already completed their MSc degree or will complete it by January 2027 at the latest

Your Benefits

• International work environment with communication in English and German
• Interesting career opportunities and extensive qualification and training offers
• Work-life balance certified by the berufundfamilie audit
• Diverse support for 'New Berliners' (Welcome & Family Office)

You also benefit from:

• Remuneration according to the collective agreement for public service employees of the federal government (TVöD-Bund), including additional company pension scheme
• Secure employment
• Flexible working hours and support services for childcare
• The possibility of mobile work
• An idyllic green campus that is easily accessible by bicycle, public transport, or car
• Free Nextbike usage from S-Bahn station Buch to campus
• Subsidy for the Job Ticket as well as discounts in the campus cafeteria
• Company health management with fitness center
• Additional health services such as flu vaccination, eye test, workplace ergonomics consultation