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Job Description "Post-Doctoral Associate, Institute for Software Research
(9684)"

Description: 
The incumbent will conduct research related to challenges arising from
analyzing large-scale social networks. This will include optimizing existing
and developing new centrality and grouping algorithms for big data. In the
context of dynamic network data and streaming data, change detection
algorithms will be developed. The incumbent will work in existing research
projects with the Research faculty member supervisor in the above mentioned
areas; the work will focus on doing research and writing papers on the
results. We are looking for someone who can start on or around February 1,
2013. 

Qualifications
Education: PhD in Computer Science, Statistics, Mathematics, or with a
strong emphasis on Social Network Analysis.
Experience: Experience in handling large data sets and in writing scientific
articles. Strong background in Network Analysis and its methods and
algorithms.
Skills: Excellent verbal communication and good written skills.
Physical Mobility: normal sedentary, but travel across campus, across town,
and out of town may be required.
Mental: excellent analytical problem solving and organizational skills;
ability to comprehend system and application related materials; able to
understand and follow directions; ability to work under pressure; pay
attention to detail; meet flexible deadlines.
Minimum Education Level: Doctorate or equivalent 

Advisor: Assistant Research Professor Dr. Jürgen Pfeffer
Organization: Institute for Software Research, School of Computer Science,
Carnegie Mellon University
Primary Location: United States-Pennsylvania-Pittsburgh 
FT/PT Status: Regular Full Time, Special Faculty
Salary: 50000-55000 US Dollars Annually
Fringe Benefits: http://www.cmu.edu/hr/benefits/benefit_programs/index.html

Questions: [log in to unmask]

Submit Application:
https://cmu.taleo.net/careersection/2/jobsearch.ftl
Job Position 9684


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Juergen Pfeffer, Assistant Research Professor
School of Computer Science
Carnegie Mellon University 
Wean Hall 4218

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