Post-Doc for NSF Parallel & Distributed Computing Curriculum project

With the ubiquitousness of parallelism in mainstream computing, it is imperative that core undergraduate Computer Science and Computer Engineering curricula be updated to include and integrate Parallel and Distributed Computing (PDC) topics in order to keep the graduating students' skills relevant and useful in the current computing field. To this end, an NSF supported Center for Parallel and Distributed Computing Curricular and Educational Resources (CEDR) is being established and aims to carry out the following synergistic areas of activities

• Develop Parallel and Distributed Computing (PDC) core curricula flexible enough for a broad range of programs and institutions; collaborate with all stakeholders (educators, students, researchers, authors, industry, governments, funding agencies, professional societies and task forces) to maintain currency and facilitate adoption.
• Develop, collect, and synthesize pedagogical and instructional materials for teaching PDC curriculum topics – including slides, modules, tutorials, lectures, books, testing and evaluation tools.
• Facilitate access to state-­of-the-­art hardware and software resources for PDC instruction and training by instructors and students worldwide in following areas: Hardware architectures -­ multicores, many cores, shared and distributed memories, high-­end machines (in collaboration with NSF-­funded national infrastructures, industry, and labs); Program development environments, compilers, debuggers, and performance monitoring and enhancement tools; Sample programs and “industrial-­‐ strength” PDC software.
• Organize and administer competitions for early adopters of PDC curricula (winners receiving stipends, equipment, etc.), organize workshops, special sessions, tutorials, and training sessions to foster awareness and adoption of PDC curricula.

CEDR is seeking to hire a post-­doctoral fellow to help with the center's activities and to perform related parallel computing research, training, publication, and proposal development activities. The post-­doctoral fellowship is expected to provide valuable experience to a qualified and motivated professional interested in a future career as an educator and researcher in a computing field. List of Project Personnel:

• Sushil K. Prasad, Georgia State University, Atlanta (PI)
• Anshul Gupta, IBM T.J. Watson Research Center
• Arnold Rosenberg, University of Northeastern, Boston
• Alan Sussman, University of Maryland, College Park
• Charles Weems, University of Massachusetts, Amherst

More details are at http://www2.cs.gsu.edu/~tcpp/curriculum/?q=node/21183

Qualifications: PhD in Computer Science or related area. Experience and research interest in parallel and distributed computing and/or computing education.

Start Date: ASAP

Duration: 1-­3 years

Salary: Commensurate with experience (up to $60K/yr)

Contact: Sushil Prasad, sprasad@gsu.edu