Staff Scientist (Inorganic Lab) – Magazica Career Hub

Title: Staff Scientist (Inorganic Lab)

Company: Inside Higher Ed
Location: Ontario
Job Type: FullTime, Shift

Description:

The Acceleration Consortium (AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery to accelerate technology development and commercialization. The AC is a global community that leverages artificial intelligence, robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs) for sustainable and resilient materials. AC Staff Scientists will advance AI-driven autonomous discovery to address challenges like climate change and future pandemics. The AC promotes an inclusive research environment and supports EDI priorities.

The AC Is Developing Seven Advanced SDLs:

The AC is developing seven advanced SDLs plus an AI and Automation lab. This posted position is for a Staff Scientist within SDL1: Inorganic.

Expertise In The Following Areas Is Desired:

Design, development, and operation of electrochemistry self-driving labs

Deep understanding of self-driving workflows for oxygen-evolving electrocatalyst discovery

Automated and high-throughput synthesis of metal oxide electrocatalysts

Automated and high-throughput characterization of electrocatalysts (structure, composition, performance)

The Components And Duties Of The Work Can Include:

SDL and Automation Development:

Working with the AC community to determine SDL capabilities

Developing SDL plans and designing instruments for automated material synthesis

Developing customized hardware and Python software packages

Selecting, procuring, and installing required equipment for SDLs

Research Direction:

Developing research programs that leverage AC's SDLs

Using SDLs for synthesizing and characterizing candidate molecules

Managing research projects and collaborations with industry partners

Preparing research proposals and manuscripts for publication

Minimum Qualifications:

Ph.D. in Chemistry

5-10 years of experience in research and development

Experience in self-driving labs for chemistry and materials science

Strong communication skills and ability to work independently

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Please refer to our website for general information about benefits. Closing Date: 02/27/2026, 11:59PM ET. Employee Group: Research Associate. Appointment Type: Grant - Continuing. Schedule: Full-Time. Pay Scale Group & Hiring Zone: $62,617.00 - $150,000 (salary based on skills and experience).

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Title: Staff Scientist (Inorganic Lab)
Company: Inside Higher Ed
Location: Ontario
Date Posted: 11/04/2025 Req ID: 45516 Faculty/Division: Faculty of Arts &amp; Science Department: Acceleration Consortium Campus: St. George (Downtown Toronto) Description Description: The Acceleration Consortium (AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and highthroughput chemistry to create selfdriving laboratories (SDLs), also called materials acceleration platforms (MAPs). These autonomous labs rapidly design materials and molecules needed for a sustainable, healthy, and resilient future, with applications ranging from renewable energy and consumer electronics to drugs. AC Staff Scientists will advance the field of AIdriven autonomous discovery and develop the materials and molecules required to address society's largest challenges, such as climate change, water pollution, and future pandemics. The Acceleration Consortium (AC) promotes inclusive research environment and supports the EDI priorities of the unit. The Acceleration Consortium received a a $200M Canadian First Research Excellence Grant for seven years to develop selfdriving labs for chemistry and materials, the largest ever grant to a Canadian University. This grant will provide the Acceleration Consortium with seven years of funding to execute its vision. The AC Is Developing Seven Advanced SDLs. These Include The AC is developing seven advanced SDLs plus an AI and Automation lab: SDL1  Inorganic solidstate compounds for advanced materials and energy SDL2  Organic small molecules for sustainability and health SDL3  Medicinal chemistry for improving small molecule drug candidates SDL4  Polymers for materials science and biological applications SDL5  Formulations for pharmaceuticals, consumer products, and coatings SDL6  Biocompatibility with organoids / organonachip SDL7  Synthetic scaleup of materials and molecules (University of British Colombia partner lab) A central AI and Automation lab to support all the SDLs This posted position is for a Staff Scientist within SDL1: Inorganic Expertise In The Following Areas Is Desired  Design, development, and operation of electrochemistry selfdriving labs  Deep understanding of selfdriving workflows for oxygenevolving electrocatalyst discovery  Automated and highthroughput synthesis of metal oxide electrocatalysts  Automated and highthroughput characterization of electrocatalysts (structure, composition, performance) The Staff Research Scientists will work with a diverse team of leading experts at U of T, including Professors David Sinton, Jason HattrickSimpers, Yu Zou, and more. The Staff Scientists involved in the AC are highly skilled and experienced researchers who will work independently to develop the AI and automation technologies required to build robust and scalable selfdriving labs, manage these SDLs, and design and implement research programs (based on the direction of the AC's scientific leadership team) that leverage the SDL platforms to discover materials and molecules. Moreover, the Staff Scientists will work collectively, sharing knowledge among each other, faculty, and trainees. This role will report to the Academic Director and Executive Director of the Acceleration Consortium. The Components And Duties Of The Work Can Include SDL and Automation Development Working with the AC community, including faculty and partners, to determine the required capabilities of the SDLs to be built. Developing SDL plans to meet user requirements and designing novel instruments for automated material synthesis and characterization. Developing customized hardware and Python software packages to build SDLs. Selecting, procurement, and installation of the equipment required for SDLs. Research Direction Working independently to develop research programs that leverage the AC's SDLs and supports the research objectives of AC faculty and industry partners. Using SDLs to synthesize and characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and elucidating structureproperty relationships of emerging molecules, polymers, solidstate materials, formulations, etc. Tasks Include Managing the research and development projects of AC's industry partners when implemented in AC labs. Developing plans supporting research collaborations and estimating financial resources required for programs and/or projects. Working with Product Managers to ensure research outcomes meet partner requirements. Promoting AC's research capacity, including delivering presentations at conferences. Collaboration in preparing and submitting research proposals to granting agencies and progress reporting. Preparing manuscripts for submission to peer review publications/journals and stewarding them through the process. Other Supporting consulting services related to the application of SDLs for materials discovery for the AC's partners. Support researchfocused events such as Annual Symposium Minimum Qualifications Education  Ph.D. in Chemistry Experience Five (5) to 10 years of experience (inclusive of PhD and/or postgraduate work) in research and development, preferably with significant experience in selfdriving labs for chemistry and materials science Experience in selfdriving workflows for electrocatalysis. Experience in selfdriving labs for the oxygenevolution reaction Experience working closely with a Principal Investigator or as a Principal Investigator or as Project Director with responsibilities of managing, developing and executing a major research project in the area of AI and automation, including hardware integration for automation, high throughput experimentation for dataset generation, AI utilization in experimental planning, and workflow establishment for seamless integration of experiments and simulations. Strong experience and expert knowledge of AI and automation Experience working with industry partners and on industry led research and development projects. Strong experience presenting research at academic conferences. Demonstrated record of academic and/or research excellence. Skills Strong and effective communicator in oral and written English Collegial in working with team members and collaborators. Ability to work independently. Other Must have a strong publication record Demonstrated success in writing and preparing manuscripts, presentations, reports, briefs, and scientific abstracts and manuscripts for peerreviewed journals. All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority Please refer to our website ( https://people.utoronto.ca/employees/) for some general information about benefits. Closing Date: 02/27/2026, 11:59PM ET Employee Group: Research Associate Appointment Type : Grant  Continuing Schedule: FullTime Pay Scale Group &amp; Hiring Zone: $62,617.00  $150,000(salary will be assessed based on skills and experience) Job Category: Research Administration &amp; Teaching  buttontext00b26598368a4abe a{ border: 1px solid transparent; } .buttontext00b26598368a4abe a:focus{ border: 1px dashed #25355a !important; outline: none !important; } 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 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. Job Segment: Research Scientist, Chemistry, Materials Science, Sustainability, R&amp;D, Science, Energy, Research

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