Assistant professor in Robust

Assistant professor in Robust, Reasoning & Responsible AI

Department of Computer Science and Operations Research
Faculty of Arts and Science

Job description

The Department of Computer Science and Operations Research invites applications for a full-time, tenure- track
position at the rank of Assistant Professor who will contribute to our research program towards a robust, reasoning
and responsible AI (R3AI), which includes research in AI safety, robust control and probabilistic machine learning.
The appointed candidate will have the possibility to apply for membership with Mila, the largest academic research
group worldwide in the area of deep learning, and become an academic member of the IVADO data science
community which is managing the ambitious R3AI grant that was just awarded from the Canada First Research
Excellence Fund. In addition, depending on expertise and interest, the successful candidate may be considered for
an IVADO professorship. These positions offer enhanced starting conditions. If membership with Mila is confirmed,
the candidate could also be nominated for a prestigious Canada CIFAR AI (CCAI) Chair (subject to approval by Mila’s
Scientific Council and CIFAR).

Responsibilities

The appointed candidate will be expected to teach undergraduate and graduate courses, supervise graduate
students, be active in research, publishing, and the diffusion of knowledge, and contribute to the activities of the
University.

Requirements

>Ph.D. in Computer Science or in a related field;
>Expertise on topics related to R3AI such as AI safety or probabilistic machine learning;
>An excellent publication record in the discipline: the candidate should have published in top-tier venues;
>Demonstrated ability to deliver high-quality university education;
>An adequate knowledge of the French written and spoken language or a strong commitment to mastering

the proficiency level required, in accordance to Université de Montréal’s Language Policy;
An institutional learning support program is offered to all professors wishing to learn French or improve their
communication skills.

How to submit your application
The application file sent to the Department Chair should contain the following documents:

>A cover letter; to conform to requirements from the government of Canada, your cover letter should include
one of the following statements: “I am a citizen/ permanent resident of Canada.” or “I am not a citizen or
permanent resident of Canada.”;

>A curriculum vitæ;
>Copies of up to three (3) recent publications demonstrating the candidate’s research performance at the

highest levels of the field
>A teaching statement (maximum one page);
>A research statement (maximum two pages);
>Three letters of recommendation are also to be sent directly to the Department Chair by the referees.

Application package and letters of recommendation must be sent by email before January 5th, 2024 to:

Sylvie Hamel, Chair
Department of Computer Science and Operations Research
Faculty of Arts and Sciences, Université de Montréal
Email: directeur-ML@iro.umontreal.ca
Website: www.diro.umontreal.ca

We strongly recommend that you complete this self-identification questionnaire. You will find more information about
this step in the Diversity and Inclusion section at the end of this document.

Additional information about the position

Reference numberFAS 11-23 / 30

Application deadlineUntil January 5th, 2024 inclusively

SalaryUniversité de Montréal offers competitive salaries and a full range of benefits

Starting dateAs of June 1st, 2024

DIVERSITY AND INCLUSION

Université de Montréal is strongly committed to fostering diversity and inclusion. Through its Equal Access Employment
Program (EAEP), UdeM invites applications from women, Indigenous Peoples, visible and ethnic minorities, as well as persons
with disabilities. We will –confidentially – adapt our recruitment mechanisms to the specific needs of people with disabilities
who request it.

UdeM embraces a broad and inclusive definition of diversity that goes beyond applicable laws, and thereforeencourages all
qualified individuals to apply, regardless of their characteristics.However, in accordance with Canadian immigration
requirements, priority will be given to Canadians and permanent residents.

In order to measure the impact of its equity, diversity and inclusion actions, UdeM is collecting data on applicants identifying
themselves with one of the groups targeted by the Equal Employment Opportunity Act, namely women, Indigenous Peoples,
visible minorities, ethnic minorities and people with limitations. To this end, we thank you for completing the self-identification
questionnaire. The information you provide through this form is strictly confidential and will be shared only with those
responsible for the UdeM EAEP. If you wish, you may also indicate that you belong to one of the targeted groups in your cover
letter, which will be reviewed by the selection committee and the assembly of peers.

Université de Montréal’s application process allows all members of the Professor’s Assembly to review the application files
submitted. If you wish to keep your application confidential until the shortlist is established, please mention it in your application.