Job Description

Date Posted: 02/24/2023
Req ID:29884
Faculty/Division: Faculty of Arts & Science
Department: Dept of Chemistry
Campus: St. George (Downtown Toronto)

Description:

DESCRIPTION:

The Department of Chemistry at the University of Toronto invites applications for a Research Associate (Limited Term) for a 2-year(s) appointment. The anticipated start date is September 1, 2023.

The Research Associate is expected to independently carry out research projects in the development and application of machine learning models of quantum properties that are applicable throughout chemical compound space. The successful candidate will investigate how to further improve scalable amon-based strategies in order to reduce training data needs and to exploit redundancies in chemical space. Connections to alchemical perturbation density functional theory and density matrix theory shall be studied. Assistance with teaching, grant proposal writing, and administrative duties is expected. Further information regarding the lab can be found here: .

Applicants should apply online at the link below and include a cover letter, curriculum vitae, and three reference names with their contact e-mail addresses and phone numbers. Any questions regarding this position should be directed to Prof. Anatole von Lilienfeld at .

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

MINIMUM QUALIFICATIONS:

Education \xe2\x80\x93 PhD in computational/physical/quantum chemistry.

Experience \xe2\x80\x93 The successful candidate will be an expert in the topic area with demonstrated published expertise and multiple years of postdoctoral research.

Minimum 5 years of experience in conducting research on Quantum machine learning (QML) in physics and chemistry, specifically, improved representations, multi-level grid-combination learning, conducting large compute campaigns for quantum chemistry calculations, and amon based training and predictions.

Published evidence for successful developments of quantum machine learning models that can be applied throughout chemical compound space. In particular, past developments should have dealt with improved representations, multi-level grid-combination learning, conducting large compute campaigns for quantum chemistry calculations, and amon based training and predictions.

Skills \xe2\x80\x93 Coding and presentation; Programming language (e.g. Bash, C, Fortran, Python, R, C++, Matlab/Octave, Mathematica, OpenMP, OpenMPI)

Closing Date: 04/14/2023,11:59PM ET
Employee Group: Research Associate
Appointment Type: Grant - Term
Schedule: Full-Time
Pay Scale Group & Hiring Zone: R01 -- Research Associates (Limited Term): $47,287 - $88,663
Job Category: Research Administration & Teaching

University of Toronto