The GWDG is seeking a
to join an interdisciplinary team of HPC experts in the working group “Computing” (AG C) with a regular working week of 39 hours (100%). Remuneration is in accordance with the collective agreement for the German public service (federal government); depending on qualifications, the position will be graded from pay grade E 11 to pay grade E 12. The position is suitable for part-time work and initially limited to two years. The GWDG strives for long-term cooperation. If interested, there is the possibility of a doctorate.
The Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG) is the university computing center for the Georg-August-Universität Göttingen and a computing and IT competence center for the Max Planck Society. The provision of high-performance HPC systems has been one of its tasks for over 40 years. In 2020, the University of Göttingen / GWDG was accepted as one of eight computing centers in the National High-Performance Computing (NHR) network. The GWDG operates the HLRN-IV system “Emmy”, one of the most powerful computers in the world.
The GWDG is part of one of four national AI service centers. The KISSKI project aims to provide services for critical and sensitive infrastructure. As a national supercomputing center, the GWDG offers technical support to researchers and students from various science domains using sophisticated computer codes, including earth system science, life science, and engineering.
To strengthen our Computing group serving HPC and AI researchers on national level, we are looking for a highly motivated candidate with expertise in web technologies and service provisioning. The successful candidate should also be an enthusiast of actively driving development for innovative computing technologies, e.g., usage of GPUs in improving the performance of scientific application codes.
The GWDG together with the Faculty of Mathematics and Computer Science and the Campus Institute Data Science (CIDAS) of the University of Göttingen provides a stimulating research environment in Scientific Computing, with an opportunity to conduct research in the intersection of applied computer science, High-Performance Computing, AI, and Machine Learning.
We have a wide range of potential responsibilities that we would like to discuss with you. Your responsibilities in our team could include, for example: