25 Sep 2017

Professor in Machine Learning

Faculty of Arts and Science / Department of Computer Science and Operations Research (DIRO)

Job description

In connection with the IVADO grant of the Canada First Research Excellence Fund, the Department of Computer Science and Operations Research is seeking applications for two full-time tenure-track positions, one at the rank of Assistant Professor or Associate Professor, and one at the rank of Assistant Professor, in areas related to machine learning and its applications (e.g., natural language processing, computer vision, robotics). The candidate will have the possibility to join the MILA, the largest academic research group in the area of deep learning, worldwide (see below), and become an academic member of the IVADO data science community.

Responsibilities

The appointed candidate will be expected to teach at all three levels of the curriculum, supervise graduate students, engage in research and publication, and contribute to the academic life and reputation of the University.

Requirements

  • Ph. D. in computer science or in a related field.
  • A proven publication record, illustrating the candidate’s ability to publish influential work in top-tier venues.
  • Expertise in machine learning, possibly with a focus on one or more of the above-mentioned areas.
  • University teaching and/or supervision experience.
  • Proficiency in French within a reasonable period of time*.

About the MILA

The MILA is the largest academic research group in the area of deep learning, worldwide, bringing together faculty from U. Montréal, McGill U., École Polytechnique Montréal and HEC Montréal. Beyond deep learning, it groups machine learning strengths in reinforcement learning, optimization, graphical models, computer vision, natural language processing, robotics, and more. The MILA researchers pioneered deep learning more than a decade ago and remain an academic pillar of this approach to artificial intelligence. MILA professors founded the International Conference on Learning Representations (ICLR) and Yoshua Bengio continues to be general chair, after having been program chair and general chair for NIPS (the leading machine learning conference). The MILA has been the home of several scientific breakthroughs in deep learning, including neural word embeddings, deep generative models such as GANs and deep auto-encoders, content-based soft-attention (which revolutionized machine translation), showing that ReLUs enable training of deep nets, showing why deep nets can have an exponential statistical advantage, busting the myths about local minima in neural networks, and much more. The MILA is being generously funded by governments as well as by industry and philanthropy (with hundreds of millions of dollars having been promised for the next few years).

The MILA will receive 30 M$ from the Canadian government to create a number of AI chairs over the next few years, as part of the Pan-Canadian AI strategy, which focuses on AI and particularly machine learning, at all levels of seniority. Consequently, the AI / machine learning faculty to be recruited at DIRO will be expected to be strong enough to obtain one of those chairs.

Information about the position

Deadline: December 1st, 2017.

Treatment: The Université de Montréal offers competitive salaries and a full range of benefits.

Starting date: On or after June 1st, 2018

Application

  • The application must include the following documents:
    • a cover letter
    • 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 research statement
    • a teaching statement
  • Three letters of recommendation are also to be sent directly by the referees.

The complete application package and letters of recommendation must be sent by email to: directeur-ML@iro.umontreal.ca.

For more information about the Department, please consult the Web site at: http://www.diro.umontreal.ca.

Informal inquiries about the position by promising candidates can be sent to Simon Lacoste-Julien using the subject prefix: “MLJOB:”.

Language Policy (French)

Université de Montréal is a Québec university with an international reputation. French is the language of instruction at the undergraduate level. To renew its teaching faculty, the University is intensively recruiting the world’s best specialists. In accordance with the institution’s language policy, Université de Montréal provides support for newly-recruited faculty to attain proficiency in French. English is commonly used within MILA, due to its international composition. Knowledge of French is not required to apply for the position, but French proficiency will need to be acquired during the course of tenure.

Confidentiality

The Université de Montréal application process allows all regular professors in the Department to have access to all documents unless the applicant explicitly states in her or his cover letter that access to the application should be limited to the selection committee. This restriction on accessibility will be lifted if the applicant is invited for an interview.

Equal Access Employment Program

Through its Equal Access Employment Program, Université de Montréal invites women, Aboriginal people, visible and ethnical minorities, as well as persons with disabilities to apply. During the recruitment process, our selection tools will be adapted to meet the needs of people with disabilities who request it. Be assured of the confidentiality of this information.
Université de Montréal is committed to the inclusion and the diversity of its staff and also encourages people of all sexual and gender identities to apply.

Immigration Requirements

We invite all qualified candidates to apply at UdeM. However, in accordance with immigration requirements in Canada, please note that priority will be given to Canadian citizens and permanent residents.