HIGH PERFORMANCE COMPUTING CENTER STUTTGART (HLRS)
The High Performance Computing Center Stuttgart (HLRS) is the first German supercomputing centre and represents a founding member of the Gauss Centre for Supercomputing. It operates one of the fastest supercomputing systems world-wide and offers services as well as support in the domain of High Performance Computing to users from academia, research, but also industry. HLRS is one of the world's leading research institutions in the area of supercomputing, data analytics as well as cloud computing and participates in the cluster of excellence on simulation technologies. Accordingly, HLRS targets innovative research and solution-centric technology development through award-winning national and international projects.
For research on cutting-edge solutions in the field of scalable applications for high-performance data analytics (HPDA) and artificial intelligence (AI) – specifically covering topics on machine learning and deep learning – we currently have a vacant position as Deep Learning/Machine Learning Expert (m/f/d) (Researcher TV-L 13), HLRS_16_2020, in the German research project CATALYST. The position also includes the possibility to pursue a doctoral degree (PhD), an opportunity explicitly supported by HLRS.
The applicant will become a member of the department “Service Management and Business Processes” (SANE), working as part of an international team focusing on the convergence of high-performance computing (HPC) and AI. You will therefore be responsible to apply state-of-the-art solutions for a diverse set of application domains such as text analytics or image processing. Besides providing consultancy and support to our large-scale academic and industrial customers, you will be responsible for developing AI solutions in collaboration with small and medium-sized enterprises. In particular, state-of-the-art frameworks including Apache Spark and TensorFlow will be used, enriched, and tuned in order to fulfill the customers' real-world requirements.
The department combines research with agile management methods, meaning that teaching and student supervision are not parts of daily business.
Ideal candidates additionally offer
You can apply to the position with a comprehensive application to the following addresses until October 04th, 2020:
c/o Agnes Lampke
or with an email with the number of the position HLRS_16_2020 desired in the subject line and only one PDF file as attachment to: email@example.com
If you have any questions regarding the research activities, please send an email to: firstname.lastname@example.org
An electronic application is preferred.
Information on the handling of applicant data in accordance with Art. 13 DS-GVO can be found at: www.uni-stuttgart.de/datenschutz/bewerbung/
In an effort to strengthen the presence of female workers in the scientific areas, the University of Stuttgart invites women to apply for these job opening. Full-time positions may be turned into part-time positions. Disabled people will have priority as long as equally qualified. The recruitment process will be made through the central administration department (Rektoramt).