Postdoctoral Fellow

Computing Science

Competition No.  -    A113942628
Closing Date  -    Will remain open until filled.

The post-doctoral appointee(s) will conduct research on the theoretical aspect of efficient and effective learning and planning in sequential decision making under uncertainty. The positions are supported through NSERC and a Canada CIFAR AI Chair grant and the candidate will work with Csaba Szepesvari and his research group. The work involves original theoretical research, collaboration with, and supervision of PhD and MSc students.

Specific topics include (but are not limited to):

  • computationally efficient and effective online learning and planning in large MDPs, or with batch data
  • limits of such algorithms
  • new algorithms for multicriteria reinforcement learning
  • efficient optimization algorithms for reinforcement learning
  • policy performance certificates.

Candidates must have demonstrated expertise in learning theoretic approaches to reinforcement learning or closely related learning problems, through publications at relevant venues such as COLT, NeurIPS, ICML and alike. Background in either mathematics, computer science, optimization, statistics, operation research, or control is required.

The Department of Computing Science (http://www.cs.ualberta.ca) is home to nearly 50 tenured and tenure-track faculty members and over 200 graduate students in its PhD and thesis-based MSc programs. Its faculty members have ties to the Faculty of Education and they participate in national and international research networks as well as cross-discipline institutes within the university.

 The University of Alberta (http://www.ualberta.ca) ranks consistently within Canada’s five best medical/doctoral universities. Over 31,000 undergraduate students, 7,600 graduate students, and 600 postdoctoral fellows are part of the university’s exceptional learning and research environment. Edmonton (http://www.edmonton.ca), Alberta’s capital, offers a rich array of cultural, professional, sports, and entrepreneurial activities, with easy access to Canada’s Rocky Mountains, and its public elementary and secondary schools provide high-quality education.

Edmonton is also home to the Alberta Machine Intelligence Institute (Amii), which is part of the CIFAR $125M Pan-Canadian AI Strategy. Amii has attracted an extremely strong cohort of professors, post-docs, and graduate students, and enhanced what was already a very strong machine learning community in Edmonton. Successful candidates will become members of Amii and will be able to take advantage of Amii events and resources.

 The University of Alberta is committed to an equitable, diverse, and inclusive workforce. We welcome applications from all qualified persons. We encourage women; First Nations, Métis and Inuit persons; members of visible minority groups; persons with disabilities; persons of any sexual orientation or gender identity and expression; and all those who may contribute to the further diversification of ideas and the University to apply.

Applications should be sent to Csaba Szepesvári szepesva@ualberta.ca

Two of the positions are available immediately. A third appointment will be made for January 1, 2021.

How to Apply

 Email     

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. If suitable Canadian citizens or permanent residents cannot be found, other individuals will be considered. The University of Alberta is committed to an equitable, diverse, and inclusive workforce. We welcome applications from all qualified persons. We encourage women; First Nations, Métis and Inuit persons; members of visible minority groups; persons with disabilities; persons of any sexual orientation or gender identity and expression; and all those who may contribute to the further diversification of ideas and the University to apply.