Post Doctoral Fellow- Distributed Systems and Computer Networks
Full/Part Time: Full-Time
Regular/Temporary: Temporary - Grant
DEPARTMENT MARKETING STATEMENT:
ABOUT CLEMSON & ECE DEPARTMENT:
Ranked as the 21st best national public university by U.S.News & World Report, Clemson is a science- and engineering-oriented college dedicated to teaching, research and service. Founded in 1889, we remain committed both to world-class research and a high quality of life. Our beautiful college campus sits on 1,400 acres in the foothills of the Blue Ridge Mountains, along the shores of Hartwell Lake. We are in the middle of two large cities: Charlotte and Atlanta, within 2 hours' drive to each of them.
The ECE department is now one of the largest and most active at Clemson, with over 50 faculty members who teach and perform research in a broad range of topics in Electrical Engineering and Computer Engineering. Many members of our faculty are known nationally and internationally, and among our ranks are several IEEE Fellows, four endowed chairs, and eight named professorships. In addition, several of our young faculty members have recently won prestigious national and international awards and grants. Our student body currently numbers approximately 540 undergraduates and 180 graduate students, of whom 100 are Ph.D. candidates.
The Pervasive Communications Laboratory at Clemson University invites applications for a postdoctoral position in a broad area of Distributed Systems and Computer Networks, including content delivery networks, cloud computing, data centers, big data, social networks, security, mobile computing, wireless sensor networks and cyber physical systems.
1. Conduct independent and collaborative research in the areas of Distributed Systems and Computer Networks. E/70%
2. Closely working with the PI and producing papers. E/15%
3. Co-supervising project team members and research students with the PI on related projects. E/10%
4. Participation in conferences, seminars and other activities of the research group. E/5%
Position requires the candidate to hold a PhD in Computer Science or Computer Engineering, with strong analytical and implementation skills. Strong background in optimization techniques and modeling is also required. A strong publication record in the related areas is desirable.
PAY & WORK SCHEDULE:
Standard Hrs: 40; Salary commensurate with credentials and experience.
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