Postdoc Position, Computational Biology

Institution/Company:
Ryerson University
Location:
Toronto, ON, Canada
Job Type:
  • Postdoctoral (1 year position)
Degree Level Required:
PhD
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Postdoc Position, Computational Biology

A postdoctoral position is available in Computational Biology in the Department of Mathematics, Ryerson University (http://www.math.ryerson.ca). The research will be led jointly by Dr. Silvana Ilie and Dr. Katrin Rohlf. This position provides an opportunity to engage in research in Applied Mathematics, with a limited amount of teaching. The salary is competitive, with funding provided for one year.

The fellowship is open to candidates of any nationality and selection will be based upon the candidate’s research potential and teaching ability. Ideally the job will begin on July 1, 2021, however there is some flexibility in the starting date. The screening process will start on February 10, 2021, and continue until the position is filled. Please note the position is advertised pending budgetary approval.

Responsibilities:

We are seeking qualified and motivated applicants in Applied Mathematics, to work on interdisciplinary projects aimed at developing stochastic modelling and simulation tools for studying biological systems.

Qualifications:

The ideal candidate would have a strong background in Applied Mathematics (Numerical Analysis and Probability) and/or Computer Science. Strong programming skills in Matlab are mandatory. In addition, experience with dynamical systems (ODEs and PDEs) is expected. Knowledge of biological/chemical reaction modelling, stochastic simulation (temporal and spatio-temporal) and machine learning would be considered an asset.

  • How to Apply

    Applicants should submit a cv and three letters of recommendation. At least one of these letters should report on the candidate’s teaching abilities. Application material and reference letters should be sent by e-mail to compbio@ryerson.ca