Home » PhD Scholarships » Uppsala University offers PhD Position in Computer Science, Sweden

Uppsala University offers PhD Position in Computer Science, Sweden

PhD Position in Computer Science at the Department of Information Technology, Division of Computer Systems  Uppsala University  in Sweden 2012

Study Subject(s):The scholarship is provided to learn Computer Science.
Course Level:This Scholarship programme is available for PhD level.
Scholarship Provider: Uppsala University
Scholarship can be taken at: Sweden

Sending
User Review
0 (0 votes)

Eligibility:
Candidates should have a Master of Science in Computer Science, Computer Engineering, or equivalent. Experience in software development, parallel programming, programming GPUs, performance evaluation, and a good understanding of computer architecture are important. The position is for a maximum of five years and includes departmental duties at a level of at most 20% (typically teaching) as well as course studies. You will be expected to teach in Swedish or English. Excellent skills in spoken and written English are an absolute requirement.

Scholarship Open for Students of Following Countries: The students of Sweden can apply for this scholarship.

Scholarship Description: Task-based programming systems provide a layer of abstraction that make it easier for both programmers and runtime systems to reason about parallelism and performance in heterogeneous parallel systems. Yet to get the most from modern hardware, tasks must be tuned for the processor and memory system, and scheduled to minimize resource contention. This requires an intelligent runtime system that can understand task properties, reason about system performance and resources, and provide feedback to the application about the kind of task to create. The topic of the PhD research will be developing methods for improving performance and energy efficiency of task-based programs on homogeneous and heterogeneous systems. This will encompass analyzing task behavior across emerging application domains, developing techniques for feeding back runtime performance information to tune task creation, and using advanced profile information to optimize scheduling for performance and efficiency. The research will include both modeling and implementation, and will leverage the advanced analysis and modeling tools developed by the computer architecture group.

How to Apply: The mode of applying is online.

Scholarship Application Deadline: 2012-12-03

Further Scholarship Information and Application