Job Description

Date Posted: 03/21/2025
Req ID: 42261
Faculty/Division: Faculty of Arts & Science
Department: Acceleration Consortium
Campus: St. George (Downtown Toronto)
Position Number: 00048987Description:About us:Founded in 1827, the University of Toronto has evolved into Canadaxe2x80x99s leading institution of learning, discovery and knowledge creation. We are proud to be one of the worldxe2x80x99s top research- intensive universities, driven to invent and innovate. U of T is home to some of the worldxe2x80x99s mosttalented thinkers, inventors, innovators, and educators, who are advancing knowledge and making critical discoveries for a healthier, more sustainable, prosperous, and secure future.Your opportunity:The Acceleration Consortium (AC) is leading a transformative shift in scientific discovery that is accelerating technology development and commercialization. The Consortium, a coalition of entrepreneurs, technology companies and elite researchers from top universities, is leveraging the power of artificial intelligence, robotics, materials sciences, and high-throughput quantum chemistry to create Self-Driving Laboratories. These autonomous laboratories will rapidly design high-performance materials and molecules that will address some of society's largest threats, such as climate change. Applications are broad and include renewable energy, sustainable materials, consumer electronics, and drug discovery.The Training Lead, will lead the planning, development and execution of training programs for students, faculty, and external partners . The ACxe2x80x99s training portfolio will address high- profile areas such as applied machine learning, robotics, laboratory automation, and materials discovery and will be delivered across numerous platforms, including micro-credential programs, academic courses, hands-on workshops, lectures, and public outreach. The goal of the AC training program is to demonstrate the utility of self-driving labs and provide participants with the skills required to leverage AI and automation to build or use self-driving labs for autonomous discovery. The incumbent will have the opportunity to work with leading faculty from around the globe who are using AI, automation and materials discovery to solve some of the worldxe2x80x99s largest challenges ( ).The Training Lead reports directly to the Executive Director of the Acceleration Consortium.Your responsibilities will include:

• Building and strengthening relationships with stakeholders and partners of strategic importance and promoting the use of training resources through industry collaborations
• Prepare and deliver training content as it relates to self-driving laboratories.
• Planning components of educational programs and/or course design.
• Developing content for instructional workshops and hackathons
• Develop and deliver a faculty and student education engagement plan.
• Planning and estimating financial resources required for educational programs.
• Manage the delivery of the AC Micro-credentials program and other training content
• High-school student outreach
• Promoting the Acceleration Consortiumxe2x80x99s training products

Qualifications:Essential Qualifications:

• PhD Degree in a physical or life sciences or acceptable combination of equivalent education and experience.
• Minimum of five years of recent and relevant experience planning post-secondary and industry/upskilling educational programs, course designs, and developing workshops for STEM subjects
• Experience planning educational programs and course designs, and developing workshop
• Experience conducting and disseminating peer-reviewed scientific research
• Experience on training on the operation of instrumentation and experimental protocol
• Excellent interpersonal skills and ability to collaborate on initiatives with a wide variety of contacts both internal and external to the University
• Exceptional oral and written communication skills
• Ability to handle conflicting and multiple priorities, superior organizational and time management skills
• Ability to compile and analyze data, prepare reports and other informational materials
• Proven analytical and problem solving skills and highly attentive to details

Assets (Nonessential):

• Experience in Chemistry or Material Sciences
• Experience in Robotics
• Experience in Artificial Intelligence
• Experience with industrial adoption of AI or automation

To be successful in this role you will be:

• Accountable
• Efficient
• Entrepreneurial
• Insightful
• Multi-tasker
• Organized
• Persuasive
• Possess a positive attitude

This role is currently eligible for a hybrid work arrangement, pursuant to University policies and guidelines, including but not limited to the .Closing Date: 04/11/2025, 11:59PM ET
Employee Group: USW
Appointment Type: Grant - Continuing
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 16 -- $101,539. with an annual step progression to a maximum of $129,851. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Engineering / TechnicalLived Experience Statement
Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position.

University of Toronto