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PhD Student in Parallel Computing

The Institute of Computer Science (Informatik) at the Johannes-Gutenberg University (JGU) Mainz invites applications for a PhD student in the research groups of Professor Bertil Schmidt ( http://www.hpc.informatik.uni-mainz.de ) and Professor Andreas Hildebrandt ( http://www.bio.informatik.uni-mainz.de/  ). The successful candidate will work in cutting edge area of designing and implementing parallel algorithms for Bioinformatics on various architectures (such as CUDA-enabled GPUs and the new KNL-based Xeon Phi).
You will
  • Design and implement efficient parallel algorithms and frameworks (such as Domain-specific languages (DSLs)) for bioinformatics (e.g. sequence alignment, molecular dynamics, boundary element methods)
  • Work in close collaboration with other project partners in Saarbrücken and Erlangen
  • Write scientific papers
  • MSc in Computer Science, Mathematics, Physics, or related areas
  • Strong programming skills in C/C++
  • Knowledge of algorithms and their mathematical analysis
  • Excellent written and spoken English
  • Motivated to work in interdisciplinary research projects
We offer
  • The possibility to work on cutting-edge projects using state-of-the-art technology in collaboration with academic project partners
  • A stimulating, diverse and international research environment
  • TVL-13 salary scale (Wissenschaftlicher Mitarbeiter, 100%).

Contact detail

How to apply:
via E-Mail.
Send application to
To apply, please email a cover letter, your CV (in English), contact address of at least two professional referees and certificates of your degrees to Professor Bertil Schmidt: bertil.schmidt@uni-mainz.de  .

Please note that only shortlisted candidates will be notified.
  • Application deadline:  01-Oct-2016
  • Starting Date:              early 2017                   

Job profile

Working hours
Contract duration
Type of job
PhD Project
Work experience
job experience is not required
Germany (Rheinland-Pfalz)
Working place
55128 Mainz
Area of expertise
Computer Sciences