Mathematical Biology

Updated: about 14 hours ago
Location: Edmonton Meadows, ALBERTA
Postdoctoral Positions in Mathematical Biology

The Department of Mathematical and Statistical Sciences at the University of Alberta invites applications for two postdoctoral positions in the area of mathematical biology. The positions are supported by a NSERC-Discovery grant and a grant from the New Frontiers in Research Fund. The successful candidate will work on research at the interface of biology and applied math, including liquid crystals, liquid-liquid phase separation, Bayesian object tracking of micron-scale objects, and microscopy image analysis using neural networks. The position offers excellent interdisciplinary training possibilities in stochastic modeling in cell biology, statistics, and machine learning, including active collaborations with researchers at UBC and UNC Chapel Hill.

Qualifications: Applicants should have (or expected to receive in the near future) Ph.D. in mathematics, physics, statistics, biomedical engineering, computer science, or another related field. Applicants should have strong quantitative skills in applied mathematics and a strong interest in life sciences applications. Experience in applied stochastics, scientific computing, and computational statistics are a plus.

For additional information, please contact Jay Newby via e-mail:

How to apply: Please apply via You will need to supply a CV, publication list, and research statement. Additionally, you must arrange for two-three recommendation letters to be submitted through Mathjobs. Screening of applications will continue until the position is filled.

We thank all applicants for their interest; however, only those individuals selected for an interview will be contacted.

The University of Alberta hires on the basis of merit. We are committed to the principle of equity in employment. We welcome diversity and encourage applications from all qualified women and men, including persons with disabilities, members of visible minorities, and Aboriginal persons.

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