Our lab is seeking postdoctoral fellows to work on modelling and data analysis projects. You will work in a highly dynamic environment with exposure to world-leading academic experts as well as practitioners in the field of healthcare and related areas. You will build mathematical models and devise state-of-the-art computational tools to investigate health and biomedical phenomena using various simulation and modelling techniques. Visit research to view our current engagements
Successful candidates will be supervised by Professor Huaxiong Huang, Director of the Lab, and Professor Arvind Gupta, both affiliated with the Department of Computer Science, University of Toronto (http://www.cs.utoronto.ca/). Professor Huaxiong Huang is also a Professor in Applied Mathematics at York University (http://www.math.yorku.ca/~hhuang/). Collaboration with other investigators working on public health, mathematical modelling, computation, and data analysis will be critical to success. Specific tasks include:
- Develop mathematical and computational models using differential equations and machine learning approaches.
- Apply modelling, simulation, and machine learning techniques to evaluate complex interventions in areas of acute and chronic disease management, diagnostics, and healthcare practices.
- Integrate research ideas into applied projects to demonstrate benefit to society.
- Be the subject matter expert and consult client personnel for realizing research into practice.
- Articulate and present research results to clients (internal and external). Share ideas and collaborate with other members of the research lab.
- Assist in developing grant proposals in related areas in collaboration with supervisors and other collaborators for NSERC/CIHR and MITACS.
- Contribute to teaching, mentorship, and supervision of postgraduate students.
- Publish papers in leading academic journals.
Minimum Degree Required: Ph.D.
You are a highly motivated individual with a recent Ph.D. (within the past five years), preferably in Mathematics, Statistics, Computer Science, Engineering, Public Health or a related field. The candidate should also have significant experience with mathematical modelling, data analysis and computer simulation. Solid skills in at least in one programming language (Python, R, Julia, MATLAB, or C/C++); strong ability to communicate scientific material; high enthusiasm, strong work ethic, and willingness to perform at a high level consistently.
- Positions are available for a one-year and multi-year duration, depending on specific projects.
- Positions may be renewable subject to availability of funding.
- Salaries will be offered based on Fields Institute/University of Toronto’s policy and adjusted according to candidate’s skills and experience.