Staff Strategic Programmes, Resources & Implementation | PhD student

Join our Interdisciplinary Data Science Research Community in Berlin – Fully-Funded HEIBRiDS PhD Positions (m/f/d)

Katharina Bohm / Max Delbrück Center

Berlin-Buch

Join our Interdisciplinary Data Science Research Community in Berlin – Fully-Funded HEIBRiDS PhD Positions (m/f/d)

The Max Delbrück Center for Molecular Medicine in the Helmholtz Association aims to transform tomorrows medicine through our discoveries of today. At locations in Berlin-Buch, Berlin-Mitte, Heidelberg and Mannheim, our researchers harness interdisciplinary collaboration to decipher the complexities of disease at the systems level – from molecules and cells to organs and the entire organism. Through academic, clinical, and industry partnerships, as well as global networks, we strive to translate biological discoveries into applications that enable the early detection of deviations from health, personalize treatment, and ultimately prevent disease. First founded in 1992, the Max Delbrück Center today inspires and nurtures a diverse talent pool of 1,800 people from over 70 countries. We are 90 percent funded by the German federal government and 10 percent by the state of Berlin.

The Helmholtz Einstein International Berlin Research School in Data Science (HEIBRiDS) welcomes applications for PhD positions within a collaborative and inclusive research environment. HEIBRiDS projects foster the convergence of data science methodologies with applications in Molecular Medicine, Materials & Energy, Earth & Environment, Geosciences, and Astronomy encompassing topics in the following areas:

• Machine Learning

• Deep Learning

• Explainable AI

• Large Language Models

• Mathematical Modelling

• Statistical Modelling

• Imaging Data Science

Research will be carried out at one of the partner Helmholtz Centers in the greater Berlin area:

• German Research Centre for Geosciences (GFZ)

• Helmholtz Zentrum Berlin (HZB)

• Max Delbrück Center for Molecular Medicine (MDC)

In collaboration with BIFOLD or one of the partner universities:

• Charité - Universitätsmedizin Berlin

• Freie Universität Berlin (FU)

• Humboldt-Universität zu Berlin (HU)

• Technische Universität Berlin (TU)

If you thrive in an interdisciplinary environment and are passionate about pioneering research, we invite you to become part of our international community in Berlin, Germany!

Job Description

Conducting independent research in the field of Data Science within the framework of a PhD project

Developing and applying methods such as Machine Learning, Deep Learning, Explainable AI, and Large Language Models

Performing mathematical and statistical modeling of complex datasets

Analyzing and interpreting data across various application domains (e.g., molecular medicine, energy, environment, geosciences, astronomy)

Collaborating in an interdisciplinary environment with researchers from different fields and institutions

Contributing to international research projects and collaborations

Presenting and publishing research results at conferences and in scientific journals

Participating in structured training and qualification programs of the graduate school (HEIBRiDS)

Working closely with supervising scientists at Helmholtz centers and partner universities

Requirements

Who we are looking for:

Highly motivated graduates with a strong interest in Data Science

A Masters degree in a quantitative discipline (e.g., computer science, engineering, physics, statistics, mathematics) or in related applied fields (e.g., bioinformatics or geoinformatics)