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 - PhD in computational/physical/quantum chemistry.

Experience - 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 - 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

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

Diversity Statement

The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see .

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please contact .

University of Toronto