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Postdoctoral position in Mixed Integer Linear Optimization for Water Resource Management at the University of California, Davis A postdoctoral position is available immediately in applied and computational mixed integer linear optimization for applications in water resource management. The candidate is expected to closely work with a group of computational scientists and water resources management engineers. The candidate's responsibilities include the analysis and development of real-world mixed-integer linear optimization models, performance tuning of open source mixed integer solvers, and the development of a high performance implementation for multi-core computers. Experience in mixed integer optimization modeling, familiarity with the COIN-OR solvers (CBC, CLP), Java programming including Java Native Interface (JNI), and the principles of parallel computing on multi-core machines are expected. The initial appointment is for one year, and the renewal of the appointment in the following years is contingent upon excellent performance and the renewal of government contracts. A competitive salary based on the applicant's qualifications and experience will be offered. The position is available immediately and will be filled as soon as a suitable candidate is identified. The candidate should have received (or be about to receive) a doctoral degree in optimization, computational mathematics, operations research, or computer science. Applicants should send a vita, bibliography with relevant reprints, and a brief description of research experience and interests to Professor Matthias Koeppe Department of Mathematics University of California Davis, CA 95616 U.S.A. email: [email protected] or Professor Zhaojun Bai Department of Computer Science University of California Davis, CA 95616 U.S.A. email: [email protected] Applicants should also arrange for two letters of recommendation to be sent to the same address. UC Davis is an equal opportunity/affirmative action employer with a strong institutional commitment to the achievement of diversity among its faculty and staff.