Postdoctoral position in machine learning of biomolecular interactions

Organization
Concordia University
Job Location
Montreal, QC
Canada
Job Description

A postdoctoral research position in machine learning of biomolecular interactions is available at the Department of Chemistry and Biochemistry, Concordia University, Montreal, Canada. Research will be performed under the supervision of Prof. Guillaume Lamoureux, Associate Professor in the Department and member of the Centre for Research in Molecular Modeling (CERMM), and in collaboration with Prof. Yoshua Bengio, Professor in the Department of Computer Science and Operations Research (University of Montreal).

The research will be directed towards developing deep learning architectures to model biomolecular structure and to predict protein-protein interactions. Depending on the candidate's interests, research will be oriented towards systems biology or towards computational protein design. The project will use computing resources from the Lamoureux laboratory, CERMM, and Compute Canada.

Requirements

⁃ Ph.D. degree (or equivalent) in Chemistry, Physics, Bioinformatics, Computer Science, or a related discipline (completed or near completion)
⁃ expertise in at least two of these fields: molecular modeling, structural bioinformatics, machine learning
⁃ excellent proficiency in at least one programming language

How to Apply

Please send an electronic version of your curriculum vitae (including a list of publications) and the coordinates of two referees to Prof. Lamoureux ([email protected]). The successful candidate will be offered a one-year contract, renewable upon satisfactory performance. The anticipated starting date is September 2016, but a later or earlier date can be arranged.

Students whose classmates are interested in science are more likely to think about a career in science, technology, engineering, and mathematics, a new study says.

CNBC reports that the genetic counseling field is expected to grow as personalized medicine becomes more common.

Gladys Kong writes at Fortune that her STEM background has helped her as a CEO.

Social scientists report that the image of the 'lone scientist' might be deterring US students from STEM careers.