Organization:
Fields Institute for
Research in Mathematical Sciences Job Title:
Postdoctoral Fellow Location:
Toronto, Canada
Summary
Description: The Fields Institute’s Health Analytics and
Multidisciplinary Modelling Lab is seeking highly motivated individuals to work
on modeling and data analysis projects associated with the lab. 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 engineering, health and
biomedical phenomena using various simulation and modelling techniques. Candidates are expected to help formulate their research program
within the context of related projects. You
will be supervised by Prof. Huaxiong Huang, Director of the Lab, and Professor
in Applied Mathematics at York University (http://www.math.yorku.ca/~hhuang/). He is also affiliated with the Department of
Computer Science, University of Toronto (http://www.cs.utoronto.ca/). Collaboration with
other investigators and our industry partner working on mathematical modeling,
computation, and data analysis will be critical to success. Specific tasks will include: -
Develop mathematical and computational models using differential
equations and machine learning approaches. -
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, MITACS
and related competitions. -
Publish papers in leading academic journals. Minimum
Degree Required: Ph.D.
Preferred
Qualifications: A recent Ph.D. (within the past five years), preferably in
Mathematics, Statistics, Computer Science, Engineering, or a related field. The
candidate should also have significant experience with mathematical modeling, data
analysis and computer simulation. Solid
skills in at least in one programming language (Python, 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. The current position is for a one-year term. 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.
Posting
Date: 07-01-2022 Closing
Date: Open Until Filled
Required
Applicant Documents: Curriculum Vitae Two Letters of References
Optional
Applicant Documents: Cover Letter Dissertation Abstract Writing Sample/Publication 1 Writing Sample/Publication 2 Research Abstract
Project summary: Friction stir welding is a new method to fuse metals that
are otherwise difficult to join. The
parameterization of the process requires complex computer simulations and human
intuition. We propose to simplify the
process by developing a mathematical model to optimize the friction stir
welding process. We seek to develop efficient algorithms consisting of a
reduced order model and machine learning for optimizing manufacturing processes
or finding favorable conditions. Furthermore, we are interested in exploring
how these methods may be applied to problems in other domains such as health,
energy materials, and/or nanophotonics. The project is in collaboration with our industry partners. The Fields Institute is a centre for mathematical research activity - a place where mathematicians from Canada and abroad, from academia, business, industry and financial institutions, can come together to carry out research and formulate problems of mutual interest. Our mission is to provide a supportive and stimulating environment for mathematics innovation and education. Learn more about us. |