[DMANET] Post-Doctoral position at the University of Toronto

POST-DOCTORAL FELLOWSHIP IN DISCRETE OPTIMIZATIONApplications are invited for a Post-Doctoral position at the University of Toronto, Canada. The broad area of research is Discrete Optimization. Possible focus areas include Approximation Algorithms, Scheduling, Network Optimization, Computational Discrete Optimization, Facility Location; however, strong applicants in all areas of Discrete Optimization and Networks Algorithms will be considered. The applicants should be within 5 years (or close to completion) of their Ph.D. in Computer Science, Mathematics / Applied Mathematics, Industrial Engineering, Operations Research / Management, or a related field.The successful candidate will work under the supervision of professor Igor Averbakh in the Department of Management, University of Toronto Scarborough. The position carries a salary of $4,200 Canadian dollars per month. The start date is negotiable.The initial contract will be for 6-12 months, with a possibility of extensions for up to 2 years based on mutual interest and availability of funds. To apply, send a C.V. and a sample of recent research (papers, preprints, etc.) electronically to professor Igor Averbakh at igor.averbakh@rotman.utoronto.caApplications will be accepted until the position is filled.The normal hours of work are 40 hours per week for a full-time postdoctoral fellow (pro-rated for those holding a partial appointment) recognizing that the needs of the employee's research and training and the needs of the supervisor's research program may require flexibility in the performance of the employee's duties and hours of work. Employment as a Postdoctoral Fellow at the University of Toronto is covered by the terms of the CUPE 3902 Unit 5 Collective Agreement.This job is posted in accordance with the CUPE 3902 Unit 5 Collective Agreement.The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ2S+ persons, and others who may contribute to the further diversification of ideas.  

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