Postdoctoral Fellow in Data Science: The Human Integrative Physiology Laboratory at Centre EPIC, Montreal Heart Institute, is offering a postdoctoral fellowship opportunity for a highly motivated individual with expertise in data science. This research position focuses on analyzing and interpreting large datasets to understand the impact of indoor heat on the health and well-being of older adults. The role involves working with a multidisciplinary, international team of experts in thermal physiology, public health, and civil and environmental engineering.
Postdoctoral Fellow in Data Science for Human Integrative Physiology
Designation: Postdoctoral Fellow
Research Area: Data Science, Human Integrative Physiology, Thermal Physiology, Public Health
Location: Montreal, Canada
Eligibility/Qualification:
- A doctoral degree (PhD) in engineering, technology, physics, or other relevant disciplines with strong training in data science.
- Proven experience in data analysis, particularly timeseries data, including cleaning, exploration, feature selection, model training, testing, analysis, and visualization.
- Strong statistical skills and proficiency in programming languages such as R or Python.
- Familiarity with Git/GitHub, pandas, NumPy, dplyr, Matplotlib, and ggplot2.
- Experience with statistical modeling (e.g., SciPy, caret, Ime4) and data visualization tools (e.g., d3.js, plotly) is a plus.
- Knowledge in data acquisition, database management (AWS or equivalent), and machine learning is an asset.
- Proficiency in French is not required, but considered an asset.
- A track record of peer-reviewed publications and contributions to open-source projects will be highly regarded.
Job Description:
The selected candidate will contribute to funded research aimed at defining indoor heat thresholds at which the health and well-being of older adults are compromised. Key responsibilities include:
- Analyzing large and complex datasets to identify patterns and insights.
- Developing and testing statistical models to understand the impact of thermal environments on health.
- Visualizing data and presenting findings to a multidisciplinary team.
- Collaborating with a diverse team of experts from various fields including thermal physiology, civil and environmental engineering, and public health.
How to Apply:
Interested candidates should send a cover letter detailing how they meet the required qualifications and skills, along with a detailed CV, by email to:
Email: daniel.gagnon.3@umontreal.ca
Last Date to Apply:
Review of applications will begin on February 1, 2025, and will continue until the position is filled. The expected start date is April 1, 2025, or later.
Contact:
Daniel Gagnon, PhD
Associate Professor | Ecole de kinésiologie et des sciences de l’activité physique, Université de Montréal
Researcher | Centre EPIC of the Montreal Heart Institute
Email: daniel.gagnon.3@umontreal.ca
