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Opportunities

• Undergraduate Research
  I am always interested in discussing SURF and senior thesis projects with Caltech students; however I do not have any positions for non-Caltech students.
• Prospective Grads
  RSRG is actively looking for new students. However, please do not send me personal email to apply, specifically mention your interest in working with me in your application through the grad office.
• Prospective postdocs
  To apply for postdoc positions, contact me directly and submit your application through the CMI program.
• Prospective faculty
  The department is looking to expand. Follow this link for information on the current faculty search.

Professional bio

Adam Wierman is a Professor in the Department of Computing and Mathematical Sciences at the California Institute of Technology, where he is a member of the Rigorous Systems Research Group (RSRG). He received his Ph.D., M.Sc. and B.Sc. in Computer Science from Carnegie Mellon University in 2007, 2004, and 2001, respectively. His research interests center around resource allocation and scheduling decisions in computer systems and services. More specifically, his work focuses both on developing analytic techniques in stochastic modeling, queueing theory, scheduling theory, and game theory, and applying these techniques to application domains such as energy-efficient computing, data centers, social networks, and electricity markets.

He received the 2011 ACM SIGMETRICS Rising Star award, and has been co-recipient of best paper awards at ACM SIGMETRICS, IEEE INFOCOM, IFIP Performance, IEEE Green Computing Conference, and ACM GREENMETRICS. He was named a Seibel Scholar, received an Okawa Foundation grant, and received an NSF CAREER grant. Additionally, his dissertation received the CMU School of Computer Science Distinguished Dissertation Award and was given an honorable mention for the INFORMS Doctoral Dissertation Award for Operations Research in Telecommunications. He has also received multiple teaching awards, including the Associated Students of the California Institute of Technology (ASCIT) Teaching Award.