PhD Student positions in Computer Architecture

Information about the division
The High-Performance Computer Architecture Group, in the Division of Computer Engineering, under the leadership of Professor Per Stenstrom, is conducting research on design principles for the next generations of computer systems. To ease the programming task and yet achieve high and predictable computational performance at as high energy efficiency as possible is an important objective in the knowledge generation process that the group contributes with. To this end, the group has a solid track record and a long-term focus on contributing to design principles of parallel computers. Four senior faculty members, three postdocs and ten Ph.D students are engaged in research in computer architecture.

The group is also a founding partner of the HiPEAC European Network of Excellence and engaged in several EU and national projects with strong ties to industry. A driving theme regards new hardware/software interfaces to ease the task of designing software for exploiting the computational performance of multi/many-core computers.

Major responsibilities
MECCA (Meeting the Challenges in Computer Architecture) is a European Research Council (ERC) project that commenced in February 2014.  Its goals are ambitious: It is committed to deliver critical technologies to design computers beyond 2020 to keep delivering an exponential computational performance growth, to be orders of magnitude more energy efficient and to deliver predictable response times through parallel processing. Specifically, the project aims at building abstractions to software developers to offload them from resource management issues (Parallelism, Power, Predictability - the three Ps) by innovations in the compiler, runtime system and computer architecture areas.  In collaboration with the other seven members of the project team, you are expected to contribute to top-class research towards the vision of the project in any of the following areas.

Topic 1: Hardware and software techniques to dynamically control resources to minimize power consumption in future heterogeneous multicore computer systems.

Topic 2: Hardware and software techniques/methods to guarantee predictable response times (e.g., worst-case execution time) for parallel applications in future heterogeneous multicore computer systems.

Indicate which of the topics you are interested in!

Position summary
Full-time temporary employment. The position is limited to a maximum of five years. During this time you are expected to obtain a PhD degree. This encompasses 20% departmental duties (typically teaching), 20% studies for credits towards your PhD and 60% research. 

Qualifications
To qualify as a PhD student, you must have a master's level degree corresponding to at least 240 higher education credits in Computer Science or Computer Engineering or in a related field  with a good foundation in computer architecture. You are highly motivated, self-propelled, energetic, independent and with a well-developed analytical problem-solving ability. As a person, you are empathetic, loyal and have high ethical standards. Your communication skills in English (literal as well as oral) are of a high quality. Since the research work involves developing simulation models, good programming skills are required. It is meritorious if you have taken courses in operating systems, real-time systems, compilers. 

Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with Ref 20140282 and written in English. The application should be sent electronically via Chalmers webpage.

Application deadline: October 1, 2014

For questions, please contact:
Per Stenström, Computer Engineering, pers@chalmers.se, +46-31-772-1761

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 
   


Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our eight Areas of Advance; Built Environment, Energy, Information & Communication Technology, Life Science, Materials Science, Nanoscience & Nanotechnology, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!