[Job-offers-cs] Post-Doctoral position in Discrete Optimization at University of Toronto

[Pekka Orponen]

Applications 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 Graph/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 8-12 months, with a possibility of 
extensions for up to 2 years based on mutual interest. To apply, send a 
C.V. and a sample of recent research (papers, preprints, etc.) 
electronically to professor Igor Averbakh 
at igor.averbakh at rotman.utoronto.ca

Applications will be accepted until the position is filled.

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.