[Job-offers-cs] Post-Doctoral position at the University of Toronto

[Pekka Orponen]

POST-DOCTORAL FELLOWSHIP IN DISCRETE OPTIMIZATION

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 
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 at rotman.utoronto.ca. Applications 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.