HEC Montreal, Decision Science

Position ID: 2336-RAP1 [#14611]
Position Title: Tenure-track or tenured professor in Machine Learning
Position Type: Tenured/Tenure-track faculty
Position Location: Montreal, Quebec H3T, Canada
Subject Area: Machine learning
Application Deadline: 2019/12/15help popup (posted 2019/09/27, listed until 2020/03/27)
Position Description:    

The Department of Decision Sciences at HEC Montréal is seeking highly qualified applicants for a tenure‐track or tenured position in machine learning beginning June 1, 2020. Rank will be commensurate with experience and qualifications. The chosen candidate may be eligible to receive a Canada CIFAR AI Chair (https://www.cifar.ca/ai/pan-canadian-artificial-intelligence-strategy), depending on their research profile.

The Department of Decision Sciences at HEC Montréal (www.hec.ca/mqg, in French) offers a stimulating environment with 28 professors and 4 full-time lecturers. Department faculty specializes in Data Science (including machine learning and statistics), Financial Engineering, and Optimization. They are members of internationally recognized research centers (Mila - Quebec Institute for Learning Algorithms [mila.quebec], CIRRELT [www.cirrelt.ca], CRM [www.crm.umontreal.ca], and GERAD [www.gerad.ca]. They also contribute to the mission of the IVADO institute for data-driven value creation (www.ivado.ca).

HEC Montréal is a world-class business school. The School offers undergraduate programs as well as graduate degrees: an MBA, an EMBA, an MSc and a PhD. Courses are mainly taught in French but also in English and Spanish. The MSc program offers several specializations including: Data Science and Business Analytics, Business Intelligence, and Financial Engineering. The PhD program is offered jointly with McGill University, Concordia University and UQÀM, and includes specializations in Data Science, Financial Engineering, and Management Science.

Qualifications – Candidates must: • Have completed or nearly completed a PhD in Computer Science, Computer or Electrical Engineering, Statistics, Mathematics, or a related field. • Have demonstrated experience with machine learning methodology through publications at top conferences and/or journals in the field and ideally be interested in applications of machine learning. Candidates with research interests at the intersection of machine
learning and another field are also encouraged to apply. • Show excellent potential in research, an aptitude to supervise students at the MSc and PhD levels, and a desire to engage in one of our research groups. • Show excellent potential in teaching with demonstrated communication skills in either French or in English and a clear interest in becoming competent in both.

Interested candidates should submit online: a curriculum vitae, a cover letter, a copy of diplomas, as well as evidence of teaching effectiveness (if possible) and contact information for at least three references. While applications will be accepted until the positions are filled, material should be received by December 15, 2019, in order to receive full consideration.

HEC Montréal recognizes the crucial and indispensable contribution of women, Indigenous peoples, members of visible or ethnic minorities, and persons with disabilities, and is committed to provide equal opportunities for all qualified applicants. To promote equity and excellence, the selection committee will take into account any career interruptions experienced by applicants. Applicants are invited to share the circumstances of any career interruptions and explain how these have impacted their career path. Applicants with disabilities who might need accommodations at any stage of the application process may communicate in a confidential manner with Lisanne Tremblay, Equity, Diversity and Inclusion Advisor (lisanne.tremblay@hec.ca). All qualified applicants are encouraged to apply; however, in accordance with Canadian immigration requirements, Canadians and permanent residents will be given priority.We thank all applicants for their interest. However, only those selected for an interview will be contacted.


This employer is not accepting applications for this position through Mathjobs.Org. Please apply at https://emplois-corps-professoral.hec.ca/job.php?id=675.
Contact: Jennifer Caron, 514-340-6472
Email:
Postal Mail:
3000 chemin de la Cote Ste Catherine
Montréal (Québec)
H3T 2A7
Web Page: https://emplois-corps-professoral.hec.ca/job.php?id=675

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