The German Climate Computing Centre (DKRZ) is the central data processing facility for the German climate and Earth system modeling community and is one of the leading facilities in this area. DKRZ operates supercomputers of the highest performance class, modern high-performance clusters and graphics systems as well as one of the largest data and archive systems worldwide.

For the AI Consultant team we are hiring for positions that will start as soon as possible (specific dates can be discussed individually).

ML Software Engineer & Scientific Programmer (all genders)

To improve the infrastructure for climate modelling, DKRZ participates in many national and international projects. Through its research group on Scientific Computing, DKRZ is linked to the Department of Informatics at the University of Hamburg.

The Helmholtz Association (HGF) initiated the Helmholtz Artificial Intelligence platform ( This future-oriented network for applied Artificial Intelligence develops, implements and disseminates methods of Artificial Intelligence for purposes including the analysis of complex systems in the fields of energy, transport, climate and health. The Helmholtz AI local unit AIM (Artificial Intelligence Innovation for Earth System Analytics and Modelling) provides application-oriented AI capabilities for the field of Earth System and climate science, with a specific focus on Machine Learning (ML) methods. AIM consists of scientific partners, including a research group at Helmholtz-Zentrum Hereon and a support team of AI Consultants at DKRZ. The AI Consultants work on request by scientific users from a wide range of HGF centres, lowering the barrier for adoption of ML techniques into the mainstream of Earth and environmental research. The team members implement scientific ML applications, provide methodological guidance and conduct trainings.

The responsibilities are based on the specific position
  • You will contribute to the success of AIM by providing services and consultation to scientific users as part of the multi-disciplinary team.
  • You will implement ML applications collaboratively with users and other team members to address scientific cases at the intersection of ML and geosciences.
  • You will convey key expertise in ML techniques, particularly ANN architectures and tuning, to the team and the users, and help to overcome practical barriers.
Your profile
  • MSc or PhD in computer sciences, mathematics, geosciences or equivalent scientific background.
  • Excellent communication and interpersonal skills and willingness to share ML expertise and collaborate with scientific users in a service-oriented manner.
  • Familiarity with neural network architectures (CNNs, RNNs). Experience with deep learning, ensemble learning or transfer learning approaches.
  • Proven experience in developing machine learning applications with big data in geosciences, physics or engineering using Python frameworks such as PyTorch or TensorFlow.
  • Prior experience with High-Performance Computing (HPC) environments and applications, including multi-GPU/multi-node setups and I/O optimization, may be beneficial.
  • Fluency in English (spoken and written).

We offer you the opportunity to work in a flexible academic environment, follow your own initiative, and build strong collaborations within DKRZ and with scientific partners. You will shape future services and research directions in a field of high relevance to society. We expect capacity for teamwork in an interdisciplinary environment and willingness to travel nationally and internationally. We also offer opportunities for further qualification in the field of High-Performance Computing.

The contracts are initially limited for 2 years with possibility to extend, depending on review and confirmation of continued funding.

How to submit your application for these posts

Please submit:
1)      A letter of interest
2)      A detailed curriculum vitae 
Please send your application as a single pdf file quoting the reference DKRZ-51 to YmV3ZXJidW5nZW5AZGtyei5kZQ==

Deadline for applying

Applications should be submitted until 20th September 2021. This is, however, not a hard deadline, but applications received after this day might potentially not be considered. 

Further information on these positions

For further information, please contact Dr. Tobias Weigel (d2VpZ2VsQGRrcnouZGU=).

Deutsches Klimarechenzentrum GmbH
20146 Hamburg