The High Performance and Distributed Computing Research Cluster in the School of Electronics, Electrical Engineering and Computer Science, Queen’s University of Belfast, is seeking excellent candidates for six (6) Post-Doctoral Research Fellowships. All Fellowships are for three years and due to commence no later than October 1, 2013. The successful candidates will contribute to the following research projects:
NanoStreams, a new EU FP7 project that co-designs hardware and software for heterogeneous micro-servers, to address the unique challenges of hybrid transactional-analytical workloads. These workloads arise from emerging applications of real-time big-data analytics. NanoStreams brings together embedded system design principles, application-specific compilers, and HPC software technology. Queen’s University of Belfast is the coordinating partner of the project. We seek candidates for two (2) Postdoctoral Research Fellowships with expertise in heterogeneous parallel programming (including design and implementation of languages, compilers, and runtime systems for heterogeneous many-core systems) and programmable accelerators (including accelerator design methodologies, application-specific hardware customization).
CACTOS, a new EU FP7 project that explores topology-aware mapping of services across geographically distributed datacenters. We seek candidates for two (2) Postdoctoral Research Fellowships with expertise in scheduling in cloud computing environments (including performance-, energy-, or reliability-aware workload scheduling, QoS-aware scheduling) and monitoring and analysis tools for large-scale computing infrastructures (including performance analysis, power instrumentation, and hardware/software fault detection and diagnosis tools).
ALEA, a new EPSRC project which explores disruptive techniques for optimizing the energy-efficiency of many-core computing systems, based on fine-grain energy accounting between language abstractions and data structures. We seek candidates for one (1) Postdoctoral Research Fellowship with expertise in one or both of the following areas: design and implementation of parallel programming languages (including language abstractions, compilers and runtime systems) and software-controlled power modeling and optimization.
ENPOWER, a new EPSRC project that explores energy-proportional computing with heterogeneous and reconfigurable processors. We seek candidates for one (1) Postdoctoral Research Fellowship, with broader expertise in heterogeneous many-core computing systems and emphasis in one or more of the following areas: programming models and runtime systems (including OpenCL, OpenACC, CUDA, or other related programming models); power and energy modeling; and software-controlled power optimization.
Candidates must demonstrate excellence through a track record of premier conference or journal publications. A Ph.D. in Computer Science, Electrical and Computer Engineering, or other directly related fields is a requirement for these posts.
The appointment offers excellent professional opportunities to the successful candidates including involvement in grant proposal preparation, joint supervision of graduate students, and collaboration with industrial partners of the HPDC Research Cluster and the School of EEECS at Queen’s University. Salary for these vacancies typically ranges between £30,424 and £32,267, depending on qualifications and prior experience.
Interested candidates should contact Professor Dimitrios S. Nikolopoulos (d.nikolopoulos@qub.ac.uk) with a CV and a research statement. The PDRA vacancies, with details on the application requirements, closing dates, and selection process, will be formally posted on the Queen’s University Job Opportunities web site by the end of July 2013.
For more information:
HPDC Research Cluster: http://www.qub.ac.uk/research-centres/HPDC/
School of EEECS: http://www.qub.ac.uk/schools/eeecs/
Queen’s University of Belfast Jobs: http://www.qub.ac.uk/sites/QUBJobVacancies/
Belfast: http://www.qub.ac.uk/home/StudyatQueens/InternationalStudents/BelfastStudentCity/
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