PhD and Postdoctoral Positions at NICTA/University of Sydney, Australia
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From: phwl on 22 Jun 2010 02:13 NICTA Scholarships for PhDs and Post Doctoral Fellow in Functional Programming, Reconfigurable Computing, Hardware Acceleration, Computer Vision, Convex Optimization NICTA has established a project with a goal of developing technology to map high level descriptions of computer vision algorithms to heterogeneous parallel hardware architectures. NICTA scholarships are available at the University of Sydney for outstanding students in the areas listed below. For further information, please contact either Dr Rami Mukhtar (rami.mukhtar _AT_ nicta.com.au) or Dr Philip Leong (philip.leong _AT_ sydney.edu.au). PHD POSITIONS Start: From June 2010 Further information concerning these scholarships is available from: http://www.nicta.com.au/education/scholarships/sydney_research_lab/scholarship_opportunities_at_the_university_of_sydney Reconfigurable Computing Architectures for Acceleration of Functional Languages Functional languages provide an opportunity to generate parallel implementations from a high level specification. This project would provide a candidate with the opportunity to develop new reconfigurable computing hardware architectures that are well suited for accelerating computations on collections of data (i.e. regular shaped polymorphic arrays). The work would be driven by recent advances on computations of collections made in the functional language community. The outcomes of this research would be to develop new hardware architectures, supporting tools chains and undertake performance analysis. The candidate would be part of a larger team working to develop a technology for mapping computer vision algorithms to heterogeneous parallel hardware architectures. Hardware Acceleration of Functional Languages Functional languages provide an opportunity to generate parallel implementations from a high level specification. This project would provide a candidate with the opportunity to develop new methods for mapping functional languages to implementations that target hardware accelerators, including GPGPUs, FPGAs and other reconfigurable computing architectures. The outcomes of this research would be to develop algorithms, methodologies and related software frameworks that make this possible. The candidate would be part of a larger team working to develop a technology for mapping computer vision algorithms to heterogeneous parallel hardware architectures. POST DOCTORAL FELLOW Start: October 2010 NICTA has established a project with a goal of developing technology to map high level descriptions of computer vision algorithms to heterogeneous parallel hardware architectures. We are seeking an exceptional Post Doctoral fellow to contribute to the research and development outcomes of the project. A suitable candidate would have completed a Ph.D. in one of the following broad areas: Functional programming languages; Integer linear programming, convex optimization; Reconfigurable computing platforms directed to streaming data processing; Models of computation, transformation and optimized code generation; High performance computer vision hardware platforms. |