Sunday, January 27, 2013

Switzerland : Ph.D. Position in Scalable Parallel Computing at ETH Zurich

Successful candidates will have a strong background in computer science, parallel computing, compilers, (performance) optimization, and/or computer systems. Candidates should be able to work (mostly) independently on a complex topic and must be highly motivated. Since most research topics are related to different fields (mathematics, computer science, computational science) candidates should be able to learn quickly and study topics independently. Good C/C++ knowledge and experience in software development are required. Some background in
parallel computing or high-performance computing is desirable. Applicants need to be proficient in written and spoken English.
Besides research activities, candidates will have the opportunity to assist in teaching and advise students to build a solid foundation for an academic career.

ETH Zurich and the Computer Science departments offer excellent facilities for studying and recreation. The department is among the leading institutions in Europe and worldwide. The SPCL group has excellent contacts to US research institutions and universities, such as University of Illinois, Indiana University, Argonne National Laboratory, Lawrence Livermore National Laboratory and many more. Students will be offered the opportunity to spend time at one of those institutions during their studies.

The language of the group is English. English is also well understand in Zurich and its surroundings, i.e., it's absolutely no problem if candidates do not speak German. Zurich is located less than one hour from the Alps, and is a small but vibrant city offering one of the best living standards in the world. Zurich is well connected to major European cities and has a large international community.
Salary and social benefits are very competitive. Contracts will be 12-month renewable, with a 3-month probatory period.

One particular project would deal with developing techniques to model the performance of scientific applications analytically. This requires knowledge in statistics and static source-code analysis. Basic skills in static analysis and symbolic execution would be very helpful. Other
research projects are also available.

For more details on the group visit http://spcl.inf.ethz.ch and on the open positions and information for applicants:  http://spcl.inf.ethz.ch/People/Jobs/


Application Deadline : 15 February 2013