Fully Funded PhD Positions in Data Science (HEIBRiDS) at Max Delbrück Center, Berlin
Fully funded PhD positions are open in
Data Science
through the
HEIBRiDS
program at the
Max Delbrück Center for Molecular Medicine
in Berlin, Germany. The call is for motivated candidates interested in interdisciplinary research that combines data science methods with applications in
molecular medicine
,
materials & energy
,
earth & environment
,
geosciences
, and
astronomy
.
Research topics mentioned in the call include
machine learning
,
deep learning
,
explainable AI
,
large language models
,
mathematical modelling
,
statistical modelling
, and
imaging data science
. Projects are carried out at partner Helmholtz centers in the Berlin area, including the
German Research Centre for Geosciences (GFZ)
,
Helmholtz Zentrum Berlin (HZB)
, and the
Max Delbrück Center (MDC)
, in collaboration with partner universities such as
Charité
,
Freie Universität Berlin
,
Humboldt-Universität zu Berlin
, and
Technische Universität Berlin
.
Eligibility highlights: applicants should have a strong interest in data science and hold a
Master’s degree
in a quantitative field such as computer science, engineering, physics, statistics, or mathematics, or in related applied fields such as bioinformatics or geoinformatics. Candidates must have completed their MSc already or finish it by
January 2027
at the latest. If you have a foreign degree, you must provide proof of recognition in Germany.
Funding: the positions are
fully funded
and paid according to
TVöD-Bund
, up to
E13
depending on personal requirements. The appointment is initially for
3 years
with the possibility of extension. Additional benefits include pension contributions, flexible working hours, childcare support, mobile working, and other workplace benefits.
Application deadline:
24 June 2026
. Applications are accepted
only via the online HEIBRiDS application portal
. Applicants should submit a CV, academic records, contact details of two referees, and a motivation letter referencing one or more doctoral projects. Shortlisted interviews are expected between
end of August and mid-September
, and successful candidates are expected to start by
January 2027
.