Fully Funded PhD Positions (m/w/d) in Data Science – HEIBRiDS Berlin (m/w/d)

About

The Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft has set itself the goal of changing the medicine of tomorrow through today's discoveries. At our locations in Berlin-Buch, Berlin-Mitte, Heidelberg and Mannheim, our researchers work together interdisciplinarily to decipher the complexity of diseases at a systems level – from molecules and cells to organs and the entire organism. In partnerships with science, clinics and industry, as well as in global networks, we strive to translate biological insights into applications in order to detect health deviations early, develop personalized therapies and ultimately enable disease prevention. Founded in 1992, the Max Delbrück Center today inspires and supports a diverse talent pool of around 1,800 people from more than 70 countries. We are financed 90 percent by the federal government and 10 percent 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 Centre Potsdam GFZ German Research Centre for Geosciences • Helmholtz-Zentrum Berlin (HZB) • Max Delbrück Center for Molecular Medicine (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!

Responsibilities

• Conducting independent research in the field of Data Science within the scope of a doctoral project
• Development and application of 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

Qualifications

Who we are looking for:

• Dedicated 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

Benefits

• International working environment with communication in English and German
• Interesting career opportunities and extensive qualification and training offers
• Compatibility of family and career certified by the berufundfamilie audit
• Diverse support for "New Berliners" (Welcome & Family Office) Furthermore, you benefit from:
• Remuneration according to the collective agreement for public service employees of the Federal Republic of Germany (TVöD-Bund), including additional company pension scheme
• A secure job
• Flexible working hours and support services for childcare
• The possibility of mobile working
• An idyllic green campus that is easily accessible by bicycle, public transport, or car
• Free Nextbike usage from S-Bahn station Buch to the campus
• Subsidy for the Jobticket and discounts in the campus cafeteria
• Company health management with fitness center
• Additional health services such as flu vaccination, eye tests, ergonomics advice at the workplace