HDS-LEE

Advance your own research with data science, learn from leading data scientists and exchange ideas across disciplines - this is possible at the Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE) in the North Rhine-Westphalian ABCD triangle (Aachen-Bonn-Cologne-Düsseldorf).

Research with High Performance Computing

The international graduate school HDS-LEE provides an interdisciplinary environment for training the next generation of data scientists in close contact with domain-specific knowledge and research. It is part of the newly established JARA Center for Simulation and Data Sciences, the German competence center for computing and data infrastructures, user support, and methodological and disciplinary research in simulation, data analysis, and high-performance computing technologies.

JARA is a unique cooperation between Helmholtz Research Center Jülich and RWTH Aachen University with strong international visibility.

HDS-LEE Homepage

More about the research at HDS-LEE

Reports on HDS-LEE

You can find out more about research at HDS-LEE and its doctoral students on the following pages:

What hurricanes and nasal breathing have in common

Mario Rüttgers uses Data Science methods to reveal the small hurricanes that occur in the nose when we inhale. He wants to help make future nose surgery more successful - and thus make it easier for patients to breathe.

An excellent interface

From earth system sciences and energy research to biotechnology and medicine: Doctoral researchers from a wide range of research fields gather at the Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE) in Jülich. How do the PhDs benefit from the diversity of the three disciplines?

The HDS-LEE encompasses the major research areas of life sciences, earth sciences and materials and energy sciences.

Mission

The HDS-LEE structured doctoral program aims at excellent graduates of mathematics, computer science, natural sciences and engineering from all over the world. The doctoral researchers at HDS-LEE want to advance the development of Data Science methods as well as use state-of-the-art technologies of artificial intelligence and machine learning to solve challenging scientific problems.

In the program, doctoral researchers are trained in all essential areas of Information and Data Sciences as well as in communication and other key qualifications. The training components of the program are strengthened by individually tailored training measures at the Jülich Supercomputing Center (JSC).

Research Areas

Life Sciences
Earth Science
Energy Systems/Material Sciences

Selection of current doctoral projects

Curriculum

Supervision by an interdisciplinary Thesis Advisory CommitteeMandatory lecture “Data Science Methods and Applications”
Courses for scientific education, including training days at the Jülich Supercomputing Center (JSC) on topics such as parallel computing, machine learning and visualization
Transferable skill courses: Scientific Writing, Academic Presentation, Good Scientific Practice and Doing ScienceAnnual retreat
Participation in (international) conferences
Personal competence training and comprehensive support measures for networking and career development

"At HDS-LEE, I benefit most from the training offered: the soft skills courses and, of course, the networking opportunities. The exchange with other people who have similar problems or challenges in their research is very valuable."

Mario Rüttgers, associated doctoral researcher at HDS-LEE

Workflow. Grafik: HDS-LEE — The HDS-LEE offers talented data scientists an interdisciplinary research environment in close contact with domain-specific knowledge and research. (Photo: HDS-LEE)

Funding and Duration of the Program

The program extends over 4 years and offers full funding. The remuneration during the term corresponds to the tariff level E13 of the TVöD/TV-L.

Application and Further Information

Around 20 doctoral positions are available, which are directly financed by HDS-LEE. In addition, interested Data Science PhD students can join the program as associated PhD students, preferably from the HDS-LEE locations Aachen, Cologne, Düsseldorf and Jülich. The program language is English.

Applicants must have adequate knowledge of computer science in general, as HDS-LEE does not offer training in computer science basics such as programming. English language skills are also required.

Are you interested in advancing your scientific research with Data Science methods? Get to know the school now!

Learn more!

Contact

Dr. Anne Bulling

Scientific coordinator HDS-LEE

a.bulling@fz-juelich.de

Forschungszentrum Jülich

Biotechnologie (IBG-1)

52428 Jülich

Go to HDS-LEE

Dr. Sarah Mertens

Scientific Coordinator HDS-LEE

sar.mertens@fz-juelich.de

Forschungszentrum Jülich

Biotechnologie (IBG-1)

52428 Jülich

Apply

Following Institutions are Involved at HDS-LEE

Forschungszentrum Jülich
Deutsches Zentrum für Luft- und Raumfahrt
Universität zu Köln
RWTH Aachen University
Max-Planck-Institut für Eisenforschung

Our Doctoral Researchers