University of Toronto, Aspuru-Guzik Lab, Dept of Chemistry

4085 16396
Position ID:UofT-Chem-PDF [#16396]
Position Title: Postdoctoral fellow
Position Type:Postdoctoral
Position Location:Toronto, Ontario M5S 3H6, Canada [map]
Subject Areas: Quantum Computing
Physical Chemistry
Chemistry / Materials, Physical, Theoretical
Appl Deadline:none (posted 2020/05/29)
Position Description:    

We are currently seeking highly motivated postdoctoral fellows for the following projects.

1. [Organic Synthesis] Automation of novel organic coupling reaction mechanisms and reaction development project. This position will be jointly supervised by Professor Aspuru-Guzik and Professor Andrei Yudin.

2. [Molecular Computing] The "Molecular Computing" project, funded by the DARPA Molecular Informatics Program. The project aims to harness chemical reactions for computation, notably to solve combinatorial optimization problems. The Aspuru-Guzik group contributes theory and modelling to the international collaboration, including simulating chemical reactions that form the basis of the molecular computer and writing software (compiler and hardware control) to solve optimization problems.

The candidate is required to have a strong background in physical and computational chemistry, as well as experience with programming in Python and modeling and simulating chemical systems. A PhD degree with expertise in one or more of the following disciplines is required: chemistry, physical chemistry, analytical chemistry, theoretical chemistry, chemical physics, microfluidics, materials science, and computational modeling. Knowledge of algorithms, complexity theory, and combinatorial optimization is an asset.

The postdoctoral fellow will join a team of researchers and graduate students from various subfields of chemistry at University of Toronto, University of Wisconsin-Madison, Northwestern University, and University of Glasgow.

3. [Self-driving laboratory algorithms and software] We are looking for a driven candidate with PhD in chemistry, computer science, physics or related field that is interested in developing the ChemOS self-driving package and working on algorithms such as Phoenics, Chimera, Gryffin, etc. Research will be on optimization, robotic control of chemical laboratories and machine learning.

4. [COVID-19 Drug Discovery] We have a position immediately available for computational work on AI and docking/computational chemistry for COVID-19 antivirals.

This is a joint position between the Matter Lab, Matthieu Schapira (University of Toronto) and Ho Leung Ng (Kansas State University).

-------------

All positions are available immediately. Please apply using this website. In your application please indicate which position you are applying to by answering "Research interests" and select one primay interest: "Organic Syntehsis" for position 1, "Molecular Computing" for position 2, and "Self-driving laboratory algorithms, software" for position 3, or "COVID-19 Drug Discovery" for position 4.


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

Further Info:
https://www.matter.toronto.edu/
email
 
Lash Miller Chemistry Labs 421D
80 St. George Street
Toronto, Ontario
M5S 3H6

© 2020 AcademicJobsOnline.Org. All Rights Reserved.