Bitte beachten Sie: Diese Stellenanzeige ist nicht mehr aktiv.
Entdecken Sie hier weitere Stellenanzeigen auf academics, dem führenden Stellenmarkt für Wissenschaft und Forschung. Um regelmäßig per E-Mail über passende Stellen informiert zu werden, können Sie sich jederzeit kostenlos registrieren.
Researcher/Academic Staff (f/m)
Veröffentlicht am(vor 438 Tagen)
Bewerbungsende(vor 427 Tagen)
HIGH PERFORMANCE COMPUTING CENTER STUTTGART (HLRS)
The HLRS is the first national supercomputing center in Germany.
Currently hosting one of the fastest supercomputing system worldwide,
it offers services and support in the area of High Performance
Computing to users from academia, research and industry. Additionally
HLRS is one of the world leading institutions in the research
fields of supercomputing, grids and cloud computing and participates
in the cluster of excellence on simulation technologies. HLRS as a
central unit of Stuttgart University is heavily active in research on
new technologies and solutions in national and international projects,
participating in a high number of funded research activities.
For the development of new solutions and support services on the
interface between leading edge scientific applications and high performance
computing systems, we offer several positions in national
and international projects as Researcher/Academic Staff (TV-L 13),
The contracts are restricted according to German law (WissZeitVG)
and are limited to the project life time.
The possibility to work on a PhD thesis in this position is given.
You will work in an international team on computing challenges on
leading High Performance Computing systems. Depending on your
profile, you will either directly work with the application owners and
users from the scientific and industrial area to push the applications
to a new level of efficiency and performance e.g. by developing new
algorithms or you will work more system centric on high performance
I/O, high performance data transfers and high end application
workflows in one of the world‘s most advanced HPC environments.
You will bring in your knowledge and expertise in both, conceptual
work as well as practical implementations, targeting innovative
Candidates need to have:
A university degree, ideally in the area of computer science, applied
mathematics or one of the application fields like engineering,
chemistry or physics
Strong focus on creativity, proactivity, positive solutions and
Good programming skills in at least one higher-order programming
Initial experience in Parallel Programming and HPC infrastructures
Good language skills in English
Ideal candidates additionally have:
Experience in the usage of profiling tools and application benchmarking
Knowledge (either theoretical or practical) in the area of data
Knowledge in the concepts and use of workflow and data management
Strong command in Linux-based environments
At least basic knowledge of the German language
A pleasant working atmosphere in a highly motivated team
Opportunities of courses and trainings and training on the job
A wide range of sports activities at the University of Stuttgart
The social benefits of the public service
Salary and the working conditions based on a collective labor
Your application: You can apply to the position with a comprehensive application to
the following addresses until 20.11.2017: Höchstleistungsrechenzentrum
Stuttgart, c/o Agnes Lampke, Nobelstraße 19, 70569 Stuttgart or
with an email with the number of the position desired in the subject
line and only PDF files as attachments to: email@example.com. An
electronic application is preferred.
The University of Stuttgart is an equal opportunity employer. Applications from
women are strongly encouraged. Full-time positions may be turned into part-time
positions. Severely challenged persons will be given preference in case of equal
Um unsere Webseite optimal gestalten und fortlaufend verbessern zu können, verwenden wir Cookies. Durch die weitere Nutzung der Webseite stimmen Sie der Verwendung von Cookies zu. Weitere Informationen sowie Hinweise dazu, wie Sie die Speicherung der Cookies verhindern können, finden Sie in unserer Datenschutzerklärung.