Under the roof of HIDA, seven Research Schools train doctoral researchers at the interface between Information & Data Science and a scientific domain. At the Schools, they deepen their knowledge of data science methods and learn to combine knowledge from Helmholtz research fields with data science methods. Apply now for the next calls.
DASHH offers two doctoral positions
DASHH: Two Doctoral Positions
You can apply for following projects:
Shaping X-Rays: Bringing Wavefront Engineering into the Hard X-Ray Domain (ShapeX)
Two doctoral projects by DASHH
DASHH brings together internationally renowned expertise in structural science, computer science, and mathematics, enabling early-career researchers to conduct experiments at leading large-scale research facilities worldwide.
Its goal is to train a new generation of data scientists capable of tackling the challenges posed by data-intensive scientific experiments using modern data science methods and intelligent algorithms. Doctoral researchers at DASHH work on topics ranging from structural biology and particle physics to materials science and ultrafast X-ray research.
HEIBRiDS: New PhD Positions
HEIBRiDS: New PhD Positions
The Helmholtz International Berlin Research School in Data Science (HEIBRiDS) welcomes applications for PhD fellowships within a collaborative and inclusive research environment.
The fellowships will start in January 2027 at the earliest and funding is provided for 4 years. HEIBRiDS projects foster the convergence of data science methodologies with applications in Molecular Medicine, Materials & Energy, Earth & Environment, and Geosciences, encompassing topics in the following areas:
- Machine Learning
- Deep Learning
- Explainable AI
- Large Language Models
- Mathematical Modelling
- Statistical Modelling
- Imaging Data Science
HEIBRIDS announces new doctoral positions
A unique research environment characterizes the Helmholtz Einstein International Berlin Research School in Data Science (HEIBRiDS): Here, research on the core methods, algorithms and processes of digitization is enabled from different perspectives and knowledge is transported between different disciplines.
HEIBRiDS brings together five Helmholtz centers and partners of BIFOLD, all working at the intersection of databases and data mining, machine learning, network science, statistics and statistical physics, information retrieval, applied mathematics, and analyses of complex networks. The interdisciplinary nature of the program requires two supervisors: one from a Helmholtz center and one from a university partner.
Collaborating Helmholtz centers include AWI, DESY, GFZ, HZB, and MDC. BIFOLD is based at Technische Universität Berlin (TU), Berlin, and institutional partner is the Charité-Universitätsmedizin Berlin.
HDS-LEE: New PhD positions
HDS-LEE: New PhD Positions
You can apply for following projects:
Co-regulation structures for large-scale single-cell transcriptomics
Probabilistic Metabolic Flux Analysis
HDS-LEE offers new doctoral positions
The Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE) prepares early-career researchers for data-driven research in the life, earth, and energy sciences. It combines work on real scientific challenges with training in state-of-the-art data science methods.
Based in North Rhine-Westphalia, HDS-LEE brings together leading universities and research institutions. PhD positions are jointly hosted by Forschungszentrum Jülich and partner institutions such as RWTH Aachen University, the University of Cologne, and the German Aerospace Center (DLR).
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Dr. Christian Beilmann
General Manager
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