Postdoctoral Position: Exploring Quantum Machine Learning Advantage for 
Molecular Property Predictions

A postdoctoral position is available at the University of Toronto, Ontario, 
Canada, involving the fields of quantum chemistry, machine learning, and 
quantum computing. The main objective is to develop physics-aware ML 
models, apply those to find new catalysts, and experiment with alternative 
designs of quantum ML models to explore a quantum advantage.
We are looking for a highly motivated and creative candidate interested 
in interdisciplinary research working with researchers from the Department 
of Chemistry and from the Department of Electrical and Computer 
Engineering at the University of Toronto. The work will involve 
applications of quantum chemistry, and significant experience with at 
least one of the major program packages (Gaussian, ORCA, etc.) is expected.
Familiarity with UNIX/LINUX, bash scripting, Python programming, etc. is 
also required, as is some previous experience with machine learning. 
A highly qualified candidate would also have experience with quantum 
computing, however, this is not necessarily expected - but the willingness 
to acquire the necessary skill sets is required for the project.
 
The research will be jointly supervised by Professor Ulrich Fekl 
and Professor Hans-Arno Jacobsen. The position is funded by a major 
competitive Canadian Tri-agency Grant. The position is expected to 
have funding for two years. Initially, a one year contract will be 
offered, whose extension is subject to solid progress established 
in the first project year. The candidate should be able to start as 
soon as possible (details negotiable). 

Application Details & Contact: Applicants should submit a cover letter 
highlighting qualifications and an academic curriculum vitae with list 
of publications as ONE SINGLE PDF file via completing the online form at 
https://bit.ly/PDF-QML-at-UofT 
Also, one letter of recommendation should be emailed directly from the 
reference to Prof. Ulrich Fekl <ulrich.fekl!^!utoronto.ca> and 
Prof. Hans-Arno Jacobsen <jacobsen!^!eecg.toronto.edu> (ccd).

Further questions about the chemical aspects can be addressed to 
Prof. Ulrich Fekl <ulrich.fekl!^!utoronto.ca> and questions about the 
computational aspects can be addressed to Hans-Arno Jacobsen 
<jacobsen!^!eecg.toronto.edu>. The position will be filled as an 
adequate candidate is found. Applications will be assessed on 
a rolling basis until April 30th, 2023. .

Applicants from all backgrounds are encouraged to apply. 
The University of Toronto is strongly committed to diversity 
within its community and especially welcomes applications from 
visible minority group members, women, Indigenous persons, persons 
with disabilities, members of sexual minority groups, and others 
who may contribute to the further diversification of ideas.