WA 09/21

Looking for new challenges in supercomputing? Join our interdisciplinary team at the ZIB!

February 11, 2021 

The Supercomputing Department of the Zuse Institute Berlin (ZIB) is looking for a 

High-Performance Computing Consultant “Life Science”
Reference code: WA 09/21 
Pay grade: E13 TV-L Berlin (100%). 

With an opportunity to start at the earliest possible date, this vacancy offered is a fixed-term contract until December 31, 2025. Subsequently, there is the possibility of a permanent contract. 

The Zuse Institute Berlin (ZIB) is an interdisciplinary research institute for applied mathematics and data-intensive high-performance computing. Its research focuses on modeling, simulation, and optimization with scientific cooperation partners from academia and industry. Since January 2021, the ZIB has been extending its scientific services by offering HPC consulting for scientists in Germany and international projects as part of the nationwide HPC initiative “NHR” (Nationales Hochleistungsrechnen – NHR). We operate compute and storage resources at a top level. Currently, our HPC system “Lise”, with its 8 PFLOP/s peak performance, provides a platform to realize demanding computational tasks and data analysis workflows to solve complex scientific questions. The “Lise” system comprises 120,000 compute cores, 500 TB distributed memory, and 8 PB persistent online storage. 

The applicant will support life science projects to enable scientists to implement their computational and data analytics workflows efficiently on NHR systems, while extending the expertise of the HPC Consultants Group at the ZIB. The position requires interaction with code developers and users active in the broad scientific field of life science as well as focus on performance aspects of the current and next-generation technology platforms, while pursuing his/her own research plans in computational life science. 

We are looking for a candidate with a strong background in life science and who is highly motivated to work in the interdisciplinary field of life science applications and high-performance computing / data analysis technologies. 

Your Responsibilities: 

  • Providing excellent HPC-focused support to the nationwide life science user community in realizing scientific projects on the NHR HPC systems 
  • Supporting the life science user community through the installation of domain-specific software and documentation of best-practice solutions 
  • Contributing to the adaption and optimization of domain-specific software packages, working jointly with other HPC experts to migrate code to next-generation supercomputer architectures 
  • Contributing to the NHR networking activities in the life science domain including training and workshops 
  • Conducting your own research in the respective field, including the acquisition of third-party funded projects 
  • Publishing scientific results at international conferences and in journals (travelling will be supported by the ZIB) 

Candidates need to provide: 

  • University degree with proven expertise in one of the life science areas, preferably multi-scale modeling and simulation of tissue, cellular or molecular systems, or similar simulation-oriented directions 
  • Good background in parallel programming (multi-threading, message passing) using C/C++ and Python, as well as experience in programming accelerators (GPU, FPGA) 
  • Good technical knowledge of state-of-the-art parallel computer architectures (processors, high-performance interconnects, memory hierarchies, and storage systems) 
  • Basic understanding of parallel file systems and data processing frameworks for machine learning and AI is desired 
  • Strong focus on self-reliance, pro-activity, creativity and the ability to work in a team 

We offer 

a dynamic, state-of-the-art working environment and a family-friendly working atmosphere 

as well as 

  • a future-proof workplace with a diverse area of responsibility, 
  • training and courses to develop and improve personal skills, 
  • additional pension scheme (VBL), 
  • 30 days annual leave, flexible working hours (flexi time), 
  • a salary in accordance with TV-L (Collective Agreement for the Public Service of the Federal States), taking into account the relevant professional experience, 
  • an end-of-year bonus, 
  • discounted BVG (public transport) ticket as part of the capital city allowance, 
  • and the use of canteens and sports programs of the Freie Universität Berlin (FUB) at reduced rates. 

Female applicants are highly encouraged to apply. Since women are underrepresented in information technology, the ZIB endeavors to increase the proportion of women in this research area. 

Applicants with disabilities will be preferred as long as equally qualified. 

Please send your application including CV and the usual documents by email in pdf-format only to jobszib.de, quoting the reference code WA 09/21 by March 12, 2021 (date of receipt). 

You can find our data protection information on the application process at www.zib.de/impressum.  

For further information on the area of responsibility, please contact Dr. Thomas Steinke (steinkezib.de) 

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