Staff research scientist (machine learning specialist)

University of Toronto’s Acceleration Consortium Department based in St. George, ON is inviting applications from suitable candidates for the position of Staff research scientist. University of Toronto’s Acceleration Consortium Department supports startups by offering mentorship, funding, and strategic guidance. It connects emerging ventures with university resources and expertise to foster innovation. The department bridges academic research and industry practice, creating a collaborative environment that accelerates growth. It helps startups scale effectively and drive technological advancements. The candidates selected for the vacancy will be required to start the work as soon as possible.

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Job Description:

Employer Name: University of Toronto
Department: Acceleration Consortium
Position: Staff research scientist (machine learning specialist)
No of Vacancies: 3
Salary: $52574.00 – $98576.00 yearly
Employment Type: Full Time
Employee Group: Research Associate
Job Category: Research Administration and Teaching
Location: St. George, ON, CA
Requisition ID: 39235

Requirements:

Languages: Candidates must have knowledge of the English Language
Education: Candidates should have completion of PhD
Experience: Candidates should have 1 to 5 years of experience in the relevant field

Physical Requirements:

• The candidates should have the ability to work independently

Other Requirements:

• The candidates should have post-graduate work in accelerated research and development in the area of machine learning applications in computational chemistry and biology
• The candidates should have experience working closely with a Principal Investigator or as a Principal Investigator or Project Director, with responsibilities for managing, developing, and executing a major research project in AI, machine learning, and advanced computational analysis and modeling of physical and biological phenomena
• The candidates should have experience overseeing the activities of a lab and experience working with industry partners and on industry-led research and development projects
• The candidates should have strong experience presenting research at academic conferences
• The candidates should have a demonstrated record of academic and research excellence and strong scholarly publication record and possess skills in electronic or hardware-oriented programming and machine learning
• The candidates should be a strong and effective communicator in oral and written English and collegial in working with team members and collaborators
• The candidates should have demonstrated success in writing and preparing manuscripts, presentations, reports, briefs, and scientific abstracts for peer-reviewed journals

Responsibilities:

• The candidates should be able to work with the AC community, including faculty and partners, to determine the required capabilities of the SDLs to be built
• The candidates should be able to develop plans for machine learning within the SDLs that will meet user requirements for automated material synthesis and characterization
• The candidates should be able to develop customized hardware and Python software packages to build SDLs and select, procure, and install the equipment required for SDLs
• The candidates should be able to work independently to develop research programs that leverage the AC’s SDLs and support the research objectives of AC faculty and industry partners
• The candidates should be able to use SDLs to synthesize and characterize large quantities of candidate molecules, calibrate theoretical models with experimental data, predict promising candidates with computational tools and machine learning algorithms, and elucidate structure-property relationships of emerging molecules, polymers, solid-state materials and formulations
• The candidates should be able to manage research and development projects of AC’s industry partners when implemented in AC labs
• The candidates should be able to develop plans supporting research collaborations and estimate financial resources required for programs and projects and work with Product Managers to ensure research outcomes meet partner requirements
• The candidates should be able to promote AC’s research capacity, including delivering presentations at conferences and collaborate in preparing and submitting research proposals to granting agencies and progress reporting
• The candidates should be able to prepare manuscripts for submission to peer-reviewed publications or journals and steward them through the process
• The candidates should be able to support consulting services related to the application of SDLs for materials discovery for the AC’s partners and support research-focused events, such as the Annual Symposium

How to apply:

If the position is fit for you and the basic requirements are fulfilled then you can now apply directly to the employer (along with your resume) through the below-mentioned details.

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We thank all the applicants for showing their interest and trust in us, however, only the most eligible candidates will be selected and conducted for further procedure directly from employers, in between no charges/fees or original documents will be asked from any applicant. All the best!

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