Postdoctoral Fellow in Data Science: The Human Integrative Physiology Laboratory at the Centre EPIC of the Montreal Heart Institute is seeking a highly qualified Postdoctoral Fellow to lead data-driven research aimed at identifying indoor heat thresholds that compromise the health and well-being of older adults. This funded position offers the opportunity to work with a multidisciplinary team of experts in thermal physiology, public health, and engineering.
Postdoctoral Fellow in Data Science for Human Integrative Physiology Research
Designation: Postdoctoral Fellow
Research Area: Data Science, Thermal Physiology, Public Health, and Engineering
Location: Montreal, Canada
Eligibility/Qualification:
- Educational Background: Ph.D. in Engineering, Technology, Physics, or a related field with extensive training in data science.
- Skills and Experience:
- Strong track record in data science (e.g., open-source code contributions, peer-reviewed publications).
- Expertise in time series data analysis, including cleaning, exploration, feature selection, model training/testing, and visualization.
- Proficiency in programming languages (e.g., R, Python) and tools (e.g., Git/GitHub, pandas, NumPy, dplyr, Matplotlib, ggplot2).
- Statistical skills and familiarity with modeling tools (e.g., SciPy, caret, lme4).
- Additional expertise in data acquisition, database management (e.g., AWS), machine learning, or data visualization tools (e.g., d3.js, plotly) is an asset.
- Proficiency in French is not required but will be considered an advantage.
Job Description:
The Postdoctoral Fellow will:
- Lead the analysis and interpretation of large datasets.
- Collaborate with an international, multidisciplinary team.
- Contribute to funded research projects focused on thermal thresholds affecting older adults’ health.
- Engage in statistical modeling, data visualization, and dissemination of research findings.
- Manage data pipelines and maintain high-quality research documentation.
How to Apply:
Applicants should email the following documents to daniel.gagnon.3@umontreal.ca:
- A cover letter detailing your fit with the required qualifications and skills.
- A detailed CV highlighting your relevant experience and contributions.
Last Date to Apply:
The review of applications will begin on February 1, 2025, and continue until the position is filled.
Funding and Terms:
- Competitive salary for a duration of three years.
- The anticipated start date is April 1, 2025, or later.
Contact Information:
For questions or further information, contact:
Daniel Gagnon, PhD
Associate Professor
École de kinésiologie et des sciences de l’activité physique, Université de Montréal
Researcher, Centre EPIC of the Montreal Heart Institute
This is an excellent opportunity to contribute to impactful research in a world-class environment while developing advanced skills in data science and interdisciplinary collaboration.
