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A Doctoral student position is available in the Cybernetic Systems and Controls Lab (CSCL) in the Department of Mechanical and Aerospace Engineering at Arizona State University, starting August, 2013. Funding includes tuition, a 12-month stipend of up to $2000/mo, travel and other expenses. Applications are accepted until June 1, 2013 or until the position is filled.
ASU, based in Tempe, AZ, is the largest research university in the United States. ASU was ranked 8th nationally in the 2012 US News and World Report list of “up and coming” universities for making significant investments in academics and research. The graduate Aerospace Engineering Program at ASU was ranked 22nd in US News and World Report for 2012. Overall, the university was ranked 45th nationally and 78th globally overall by ARWU in 2012.
The research topic is centered on the use of systems analysis and control methodologies to understand how the immune system functions. This project is a collaboration with the City of Hope National Cancer Center in Los Angeles, CA.
Project Description: The goal of this project is to use computational and experimental methods to model how the immune system responds to antigen excitation. We will use live-animal mouse-model experiments to perform system identification and eventually real-time feedback. Computational methods used will include system identification algorithms, machine learning algorithms and optimization algorithms. The position will require a mix of theoretical and experimental skill.
Eligibility: Students must have a degree with 2.1, first class honors or equivalent from a top 100 university as per USNWR, AWRU or other major ranking system. For non-UK students, an undergraduate score of 3.6 (US), 90 (China), 17(India/Iran) is required. Other countries will be considered on a case-by-case basis.
Particularly relevant skills can include a background in Physics, Algorithms, Parallel computing, Mathematical analysis, Optimization, and all areas of Control. Candidates should have an undergraduate degree in Engineering, Mathematics, or a related discipline.
If eligible, apply for the position by sending a cv, undergraduate and graduate transcripts (if relevant) directly to mpeet@asu.edu. Additionally, students must apply separately to the university online at http://graduate.asu.edu/admissions.
Funding Notes:
Funded by NSF/NIH