Assistant Professor – Artificial Intelligence in Chemical and Biochemical Systems

The property
The Department of Chemical Engineering and Applied Chemistry invites applications for a full-time tenure stream appointment in the area of the application of data science to chemical and biochemical systems. The appointment will be at the rank of Assistant Professor with an expected start date of July 1, 2022, or shortly thereafter. Applicants are expected to have a PhD in chemical, biological, environmental or materials engineering or in applied chemistry, biology, computer science, computer engineering or a related field at the time of appointment or soon after. Postdoctoral or industrial experience is an asset. The successful candidate will have demonstrated excellence in research and teaching, as well as innovation in research and teaching. We seek candidates with expertise in the development and application of Data Science, Artificial Intelligence (AI) and Machine Learning (ML) or quantum computing methodologies to chemical and biochemical systems and whose research and teaching complement and strengthen our existing strengths in the Department of Chemical Engineering and Applied Chemistry. Areas of application for the candidate’s research may include, but are not limited to, chemical, biochemical and materials processing, sustainable energy/manufacturing/materials, environmental science and engineering, chemical/biomolecular modelling, polymers, catalysis, reaction engineering, transport phenomena, advanced separations, regenerative medicine, protein engineering, genomics, bioinformatics, systems biology, forest products, self-driving laboratories, surface and interface engineering. The candidate’s expertise should complement our existing strengths in various centres and institutes, including: the Centre for Analytics and Artificial Intelligence Engineering (CARTE);  The Vector Institute; the Acceleration Consortium; BioZone; the Institute for Sustainable Energy; the Institute for Water Innovation, the Centre for Management of Technology and Entrepreneurship; and the Pulp and Paper Centre, among many other centres at the University of Toronto. A track record and interest in collaboration across multiple disciplines is a key element of the position. The successful candidate will be expected to initiate and lead an outstanding, independent, innovative, externally funded research program of international calibre, and teach in the chemical engineering curriculum at the undergraduate and post-graduate level. Collaborative and inter-disciplinary research and collegial interaction will be important elements in success. Eligibility to register as a Professional Engineer in Ontario is a desirable qualification. Excellence in research is evidenced primarily by publications or forthcoming publications in leading journals or conferences, the submitted research statement, presentations at significant conferences, awards and accolades, and strong endorsements by referees of high standing. Evidence of excellence in teaching will be demonstrated by the statement of teaching philosophy, teaching accomplishments, and a teaching dossier including sample syllabi and teaching evaluations or other evidence of superior performance in teaching-related activities, as well as strong endorsements. Other teaching related activities can include performance as a teaching assistant or course instructor, experience leading successful workshops or seminars, student mentorship, or excellent conference presentations or posters. Equity, diversity, and inclusion (EDI) are essential to academic excellence and to the success of our department. Evidence of a commitment to EDI will be demonstrated by a statement describing views, experiences and/or plans furthering EDI via teaching mentorship, outreach, and/or other activities. The Department of Chemical Engineering and Applied Chemistry at the University of Toronto is committed to its vision statement, “Through leading edge research and innovation, we integrate chemistry, biology and engineering to drive solutions to global challenges in energy, the environment and health”. Our intent is to build upon and strengthen the outstanding ecosystem we have in Toronto in the areas of data science, AI and ML and harness their application to chemical and biochemical systems. Salary will be commensurate with qualifications and experience. All qualified applicants are invited to apply online by clicking on the link below. Please include the following materials: a cover letter; a curriculum vitae; a statement of research vision with a five to ten year horizon (three to five pages); up to three sample publications; a teaching dossier including a statement of teaching philosophy and interests, sample course syllabi and teaching evaluations, or evidence of superior performance in other teaching-related activities as listed above; and an EDI statement. All application materials must be submitted online. Applicants must provide the name and contact information of three references. The University of Toronto’s recruiting tool will automatically solicit and collect letters of reference from each once an application is submitted. Applicants, however, remain responsible for ensuring that references submit letters (on letterhead, dated and signed) by the closing date. All application materials, including reference letters must be received by January 10, 2022. Submission guidelines can be found at http://uoft.me/how-to-apply. Your CV and cover letter should be uploaded into the dedicated fields. Please combine additional application materials into one or two files in PDF/MS Word format. If you have any questions about this position please contact chair.chemeng@utoronto.ca. More information on the Department of Chemical Engineering & Applied Chemistry’s academic plan is available at: https://chem-eng.utoronto.ca/wp-content/uploads/2018/04/2015ChemE_SS_pg9-10_insert-.pdf. For more information on the Department, please visit www.chem-eng.utoronto.ca. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Diversity Statement The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ2S+ persons, and others who may contribute to the further diversification of ideas. 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 http://uoft.me/UP. 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 uoft.careers@utoronto.ca. Apply now: https://jobs.utoronto.ca/job/Toronto-Assistant-Professor-Artificial-Intelligence-in-Chemical-and-Biochemical-Systems-ON/548737917/