Fields Institute

317 20260Fellowship ID: FIELDS-PDFHAML [#20260]
Fellowship Title: Postdoctoral Fellowship - Fields Institute Health Analytics and Multidisciplinary Modelling Lab
Fellowship Type: Postdoctoral
Fellowship Location: Toronto, Ontario M5T3J1, Canada [map] sort by distance
Subject Areas: modeling and data analysis, computational tool building, differential equations, machine learning, applied mathematics, computer programming, friction stir welding process improvement
Application Deadline: finished (2022/07/19, finished 2023/07/22)
Fellowship Description:    

*** this fellowship has been closed and new applications are no longer accepted. ***

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.

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the fellowship description.

Further Info:
https://haml.ca/
email address
 
222 College Street
2nd floor
Toronto, Ontario
Canada M5T 3J1