Research assistant in AI applied to urban health

Title: Research assistant

Employer: Université de Montréal (UdeM)

Work location: UdeM and/or CRCHUM

Status: part-time position (10h to 15h per week)

Duration: 6 months

Salary: In accordance with UdeM policies

Start date: ASAP

Overview

Due to the intricate nature of its links with population health, equity, environment, sustainable development, etc. urban planning is considered a highly complex process. Yet, Artificial Intelligence (AI) and, more specifically mathematical optimization, can provide valuable tools to support cities' decision making when planning future investments in a data-driven world.

In this perspective, a team of researchers from Université de Montréal (M. Carvalho, Département d'informatique et de recherche opérationnelle, A. Lodi, Département de mathématiques et de génie industriel (Polytechnique Montréal), and Y. Kestens, Département de médecine sociale et préventive) was funded through a Canadian Institutes of Health Research AI planning grant to:

- conduct consultations with representatives from the City of Montreal, practitioners from Montreal Public Health Office, experts in Artificial Intelligence and population health researchers;

- based on the stakeholder consultations, devise a high impact project using AI techniques to develop tools able to support the complex process of decision making in megalopolises.

As part of this planning grant, we are looking for a part-time research assistant (10h to 15h per-week) to conduct a comprehensive review of relevant literature, activities or programs as well as build a catalog of all pertinent data sets that could feed mathematical optimization algorithms.

Responsibilities and Duties

- to conduct a comprehensive literature review of pertinent domains

- to conduct an environmental scan of all relevant data sources and identify gaps

- to assist researchers and knowledge users in project development and grant applications

- to contribute to stakeholder consultations

Qualifications

- good oral and writing skills in English and French

- a master degree and background in operations research, economics, urban planning, public health or any related field

- experience in grant writing is an asset

Submission process

Please send CV and cover letter before 2019-10-31 to Margarida Carvalho (carvalho[at]iro[dot]umontreal[dot]ca). Only selected candidates will be contacted.