143 Research Institutions jobs in South Africa

At Matter Labs, we believe freedom drives progress and prosperity. We don’t see ourselves as a company, but as a team aligned around a single mission: to advance personal freedom for all (see ZK Credo).

To achieve this goal, we’re building zkSync — a credibly neutral, fully open source technology stack and network on top of Ethereum, which is owned and governed by its community. We use advanced cryptography called zero-knowledge proofs to scale Ethereum infinitely without compromising on security or decentralization. With a world-class team, a community of over 1M supporters across Twitter + Discord, and hundreds of millions $ in funding, we have abundant resources to accomplish the mission.

The Role

We are looking for Research Scientists to join our Research Team. We are looking for accomplished researchers with a PhD in relevant areas of computer science interested in working on various aspects of the complex system that Matter Labs is building, including security, performance, networking, hardware, programming languages, program correctness, and various aspects of applied cryptography related to zero-knowledge proofs.

We expect you to have a track record of research in a relevant area and to be connected to both the academic community and industrial practice. Experience of working on other blockchain projects is a plus but not a requirement.

What You’ll Be Doing

• We expect you to be an expert in your field and to apply your knowledge and expertise to come up with solutions relevant to what Matter Labs is building.
• We expect you to work with both research scientists as well as engineers and engineering managers to get what you produce deployed.
• We expect you to be a member of the academic community and to read and possibly write papers, listen and possibly give presentations, in order to stay abreast of the most recent developments as they happen.

What We Look For In You

• Experience in one (or more) of the following areas: performance (distributed systems, runtimes, networking stack), security, verification and/or machine learning.
• A PhD in computer science or related discipline.
• A track record of research relevant to or deployed in an industrial setting.
• Ability and willingness to produce technical blogs, reports, and papers.
• Deep understanding of software engineering best-practices.
• Ownership mindset and a track record of successfully accomplished projects.
• In-depth knowledge of common algorithms, data structures, and their computational & memory complexities.
• Proven publication history.
• Experience implementing complex prototypes both from scratch and based on existing code bases.
• Ability to produce code that leads to industrial deployment.
• English is your native language or you are completely fluent.

Working at Matter Labs

At Matter Labs, you have the freedom to work how you want, when you want, and from where you want. All positions are 100% remote (with optional travel to team and/or industry events). We operate in lean and nimble teams, with no time tracking and minimum bureaucracy. We move fast. Only results matter. We will provide you with everything you need to learn, grow, and be productive.

Our results-only environment means anyone who believes in our mission can join us, regardless of background, sexual orientation, race, gender, and age. Both our team and community are made up of people from diverse backgrounds. That’s why, out of politeness and respect, we refrain from opinions on politics, religion, or sex at the workplace.

We designed our culture around the tenants of freedom and ownership. This ethos will underpin our positive-sum community as we evolve toward full decentralization.

If this role resonates with you, apply now for prompt feedback.

Important: We are remote-first, operating in the timezones between UTC-5 (Latam and Atlantic Coast) to UTC+7 (South-East Asia). While we’re currently not hiring in the US, we do consider US-based applicants willing to relocate.

Status: Full-time permanent

Direct report to: Academic Director

Work location: AIMS South Africa, 6 Melrose Road, Muizenberg

Start date: 1 October 2025, or as soon as possible thereafter

Summary

The African Institute for Mathematical Sciences in Cape Town is seeking a highly organized and motivated Research and Academic Program Manager. This role is crucial for the effective operation of our department, supporting both our research initiatives and academic programs. The role requires a keen interest in scientific discovery.

The ideal candidate will be a proactive problem-solver with excellent communication skills and an ability to manage multiple projects simultaneously. The Research and Academic Program Manager will support efficient administrative operations, reporting, managing complex scheduling and serve as a key liaison with internal and external stakeholders.

Key Responsibilities

● Program Management: Oversee the administration of departmental academic programs, including supporting the Academic Director with curriculum planning, and course and exam scheduling.

● Research Support: Assist the AIMS Research Centre with research program management. Coordinate research team meetings, track research milestones and publications.

● Liaison: Serve as a program management point of contact between research students, researchers, students, and South African and international research and academic partners.

● Grants Support: Assist faculty with grant applications, manage research project budgets, and ensure compliance with university and funding agency regulations.

● Administrative Oversight: Handle day-to-day administrative tasks, including managing course and research calendars, and coordinating meetings and reports.

Required Qualifications

● A bachelor's degree in a relevant field (e.g., mathematics, computer science, business administration, or a related discipline) or equivalent combination of education and experience.

● Proven experience in program and project management or a similar administrative role, preferably in a research environment.

● Strong organizational and time-management skills.

● Excellent written and verbal communication abilities.

● Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.

Applications

To apply, please submit the following as one PDF to

● A cover letter detailing your relevant experience and interest in the position

● Your CV, max 4 pages, and proof of qualifications

● Contact information for at least two references including a recent direct line manager

Applications will be accepted until 15 September 2025 or until the position is filled.

If you do not hear from us in 4 weeks please consider your application as unsuccessful.

AIMS South Africa reserves the right not to make an appointment at its sole discretion.

Key Responsibilities:

• Lead and execute high-quality research integrating AI methodologies into the broad field of health sciences.

• Publish findings in reputable peer-reviewed journals and present research at international conferences.

• Collaborate with interdisciplinary health science teams to develop innovative AI-driven products and solutions tailored to medical and health science applications.

• Help nurture collaborations between the Faculty of Health Sciences at WITS and both the MIND institute and the School of Computer Sciences and Applied Mathematics at WITS.

• Provide mentorship and supervision of postgraduate students.

• Participate in securing external funding through grant applications and industry partnerships.

• Engage actively with industry stakeholders to ensure effective translation of research into viable products.

Qualifications and Experience:

• Relevant Master's degree (MSc) in Engineering, Physics, Information Technology, Computer Science, or a closely related discipline is required. A PhD will be highly advantageous.

• Extensive experience in building and deploying AI solutions across diverse applications, including natural language processing, computer vision, statistical modeling, regression, AI agents and large language models and tools.

• The following will be advantageous:

o industry experience

o a proven track record of successful AI product design and deployments

o experience applying AI to medical and health-related research.

• Excellent communication and interpersonal skills with proven ability to effectively collaborate in multidisciplinary environments.

Detailed Description

Job Requirements

Additional Details

How To Apply

See attached selection criteria

Remuneration: Competitive salary and benefits package commensurate with qualifications and experience.

Contact Details: For inquiries please contact:

To apply:

Please submit the following documents on or for internal applicants

• A cover letter outlining your interest and suitability for this Lecturer/ Senior Lecturer / Researcher position.

• A detailed CV, including contact details, names, telephone numbers and email addresses of 3 referees, which one of the referees must be your current or recent line manager.

• Certified copies of qualifications including Matric.

• South African identity document or passport and permit.

The University is committed to employment equity, and as a result, preference may be given to appointable applicants from the underrepresented designated groups in terms of the relevant employment equity plans and policies of the University.

The University retains the right not to make an appointment and to verify all information provided by candidates.

Please note that correspondence will only be entered into with shortlisted candidates.

The University reserves the right not to make an appointment or to re-advertise .

The University is committed to employment equity. Preference may be given to appointable applicants from the underrepresented designated groups in terms of the relevant employment equity plans and policies of the University. The University retains the right not to make an appointment and to verify all information provided by candidates.

Please note that correspondence will only be entered into with shortlisted candidates. The University reserves the right not to make an appointment or to re-advertise.

Minimum Salary

Maximum Salary

Currency

Amount of Travel

Work At Home

Description
Job Title Lecturer/ Senior Lecturer/ Research Scientist Location Parktown,ZA Organization Name Faculty Research (FRC) Department Description

**Lecturer / Senior Lecturer / Research Scientist in Artificial Intelligence for Health Science

Faculty of Health Sciences

University of the Witwatersrand, Johannesburg
Position Type:**
5-year renewable contract

About the Position:
The Faculty of Health Sciences at WITS University invites suitably qualified candidates to apply for a Lecturer / Senior Lecturer / Researcher position specializing in Artificial Intelligence (AI) for health sciences. This is an exciting opportunity to join a dynamic faculty and contribute meaningfully to building cutting-edge health sciences research and innovation.

Brief Description

Key Responsibilities

• Lead and execute high-quality research integrating AI methodologies into the broad field of health sciences.
• Publish findings in reputable peer-reviewed journals and present research at international conferences.
• Collaborate with interdisciplinary health science teams to develop innovative AI-driven products and solutions tailored to medical and health science applications.
• Help nurture collaborations between the Faculty of Health Sciences at WITS and both the MIND institute and the School of Computer Sciences and Applied Mathematics at WITS.
• Provide mentorship and supervision of postgraduate students.
• Participate in securing external funding through grant applications and industry partnerships.
• Engage actively with industry stakeholders to ensure effective translation of research into viable products.

Qualifications And Experience

• Relevant Master's degree (MSc) in Engineering, Physics, Information Technology, Computer Science, or a closely related discipline is required. A PhD will be highly advantageous.
• Extensive experience in building and deploying AI solutions across diverse applications, including natural language processing, computer vision, statistical modeling, regression, AI agents and large language models and tools.
• The following will be advantageous:
• industry experience
• a proven track record of successful AI product design and deployments
• experience applying AI to medical and health-related research.
• Excellent communication and interpersonal skills with proven ability to effectively collaborate in multidisciplinary environments.

Requirements
Detailed Description Job Requirements Additional Details How To Apply

See attached selection criteria
Remuneration:
Competitive salary and benefits package commensurate with qualifications and experience.

Contact Details:
For inquiries please contact:

To Apply
Please submit the following documents on or for internal applicants

• A cover letter outlining your interest and suitability for this Lecturer/ Senior Lecturer / Researcher position.
• A detailed CV, including contact details, names, telephone numbers and email addresses of 3 referees, which one of the referees must be your current or recent line manager.
• Certified copies of qualifications including Matric.
• South African identity document or passport and permit.

The University is committed to employment equity, and as a result, preference may be given to appointable applicants from the underrepresented designated groups in terms of the relevant employment equity plans and policies of the University.
The University retains the right not to make an appointment and to verify all information provided by candidates.
Please note that correspondence will only be entered into with shortlisted candidates.
The University reserves the right not to make an appointment or to re-advertise
.
***The University is committed to employment equity. Preference may be given to appointable applicants from the underrepresented designated groups in terms of the relevant employment equity plans and policies of the University. The University retains the right not to make an appointment and to verify all information provided by candidates.

Please note that correspondence will only be entered into with shortlisted candidates. The University reserves the right not to make an appointment or to re-advertise.***
Minimum Salary Maximum Salary Currency Amount of Travel Work At Home

Brookhaven National Laboratory ) delivers discovery science and transformative technology to power and secure the nation's future. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The Lab is primarily supported by the U.S. Department of Energy's (DOE) Office of Science. Brookhaven Science Associates (BSA) operates and manages the Laboratory for DOE. BSA is a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country. Our organization fully supports service members transitioning from active duty to civilian life and pledge's our commitment to actively hire veterans of the U.S. Armed Forces. Military personnel who have been formally trained or have relevant experience obtained while in service may meet educational requirements and are encouraged to apply for job opportunities at BSA.

Organizational Overview

The Environmental & Climate Sciences Department (ECSD) ) at Brookhaven National Laboratory focuses on a wide range of theoretical, experimental, and field studies in support of the U.S. Department of Energy's climate and energy research agendas. Work is supported by the Atmospheric Radiation Measurement (ARM) User Facility ), an observations-based program that measures aerosols, clouds, precipitation, radiation, and atmospheric dynamics; the Atmospheric Systems Research Program ), and the Environmental System Science Program ). This work is pursued with the ultimate goal of improving predictability and reducing the uncertainty in global and regional climate models. The department research portfolio also includes development of environmental technologies and applications for renewable energies, urban science, and national security.

The Aerosol Chemistry & Microphysics Group ) within ECSD is focused on improving process-level understanding of aerosol formation and evolution mechanisms, aerosol absorption, and the direct and indirect influences that aerosols have on clouds, precipitation and climate. Understanding the physics, chemistry and dynamics of interactions along this aerosol-cloud-precipitation continuum is crucial for development of a predictive understanding of the climate system.

Position Description

The Aerosol Chemistry & Microphysics Group seeks a Postdoctoral Research Associate to advance understanding of the atmospheric boundary layer dynamics that control the spatial distribution and timing of new particle formation (NPF) – the formation of new aerosol from gas-phase precursors. The ideal candidate will have a strong interest in aerosol instrument development, observational field deployments, and the synthesis of observational data sets of atmospheric boundary layer dynamics and aerosol properties. This position has a high level of interaction with an international and multicultural scientific community.

NPF is an important environmental nano-scale process, with field measurements and modeling studies indicating that freshly formed particles can contribute significantly to the global population of aerosol and cloud condensation nuclei. While there have been an increasing number of NPF measurements from surface-based platforms, there have been very few measurements of vertically-resolved NPF from aerial platforms. Vertically-resolved atmospheric NPF measurements are needed because aerosol formation in the upper troposphere may be a significant source of cloud condensation nuclei. Furthermore, these vertically-resolved measurements are needed to connect the atmospheric conditions that drive atmospheric NPF with large-scale boundary layer transport processes and meteorology. In this project, we will be utilizing observations of boundary layer dynamics and vertically-resolved nanoparticle concentrations ) to understand how local micrometeorology and boundary layer dynamics control the evolution and distribution of boundary layer aerosol properties and processes.

Essential Duties And Responsibilities
Analyze co-located observations of atmospheric dynamics and spatially-distributed aerosol Determine the atmospheric controls on aerosol spatial and temporal dynamics Publish in peer-reviewed journals Present at national and international meetings

Position Requirements

Required
Required Knowledge, Skills, and Abilities:
Ph.D. in aerosol science, atmospheric science, meteorology, engineering, or a closely related field Experience with using remotely sensed observations of atmospheric boundary layer aerosol, dynamics, and meteorology Clear and concise verbal and written communication and collaboration skills Ability to develop and pursue independent research ideas Ability to work well in a diverse team across cultures and experiences

Preferred Knowledge, Skills, And Abilities
Experience with using in-situ observations of newly formed aerosol A record of publication in high quality, internationally recognized journals

Other
BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness, or other life-changing events. Review of applications begins immediately. Applications will be accepted until the position is filled. The initial term appointment will be one year, subject to renewal contingent on funding and performance. Research will be under the direction of Dr. Chongai Kuang.

Benefits
At Brookhaven National Laboratory we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Our benefits program includes, but is not limited to:

Medical, Dental, and Vision Care Plans Flexible Spending Accounts Paid Time-off and Leave Programs (vacation, holidays, sick leave, paid parental leave) 401(k) Plan Flexible Work Arrangements Tuition Assistance, Training and Professional Development Programs Employee Fitness/Wellness & Recreation: Gym/Basketball Courts, Weight Room, Fitness Classes, Indoor Pool, Tennis Courts, Sports Clubs/Activities (Basketball, Ping Pong, Softball, Tennis) Brookhaven Science Associates requires proof of a COVID-19 vaccination for all employees. Proof of full vaccination as recognized by the CDC and/or WHO, inclusive of the two-week waiting period, is required at the start of your employment.

Brookhaven National Laboratory (BNL) is an equal opportunity employer that values inclusion and diversity at our Lab.We are committed to ensuring that all qualified applicants receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a veteran, disability or any other federal, state or local protected class.

BNL takes affirmative action in support of its policy and to advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities.We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.Please contact us to request accommodation.

VEVRAA Federal Contractor

Staff Research Scientist (Machine Learning Specialist) - SDL6

Date Posted: 09/02/2025
Req ID: 45033
Faculty/Division: Faculty of Arts & Science
Department: Acceleration Consortium
Campus: St. George (Downtown Toronto)

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 high-throughput chemistry to create self-driving 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 Research Scientists will advance the field of AI-driven 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 an inclusive research environment and supports the EDI priorities of the unit.

The Acceleration Consortium received a $200M Canadian First Research Excellence Grant for seven years to develop self-driving labs for chemistry and materials, the largest ever grant to a Canadian University. This grant will provide the AC with seven years of funding to execute its vision.

The AC is developing seven advanced SDLs plus an AI and Automation lab:

• SDL1 - Inorganic solid-state 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 / organ-on-a-chip
• SDL7 - Synthetic scale-up of materials and molecules (University of British Columbia partner lab)
• A central AI and Automation lab to support all the SDLs

Position Overview:

We are seeking a motivated and skilled researcher to join the Acceleration Consortium working with the Human Organ Mimicry SDL. The Self-Driving Lab (SDL) focused on Human Organ Mimicry (HOM) embodies an autonomous artificial intelligence (AI)-assisted platform for culturing and screening high-fidelity models of functional tissues and diseases. In addition to fundamental capabilities like cell passaging and sample preparation, the platform will facilitate closed-loop optimization campaigns designed to optimize cell culture conditions (e.g., growth media and extracellular matrix support), automated generation of model-specific datasets and production of highly reproducible batches of cells with specific phenotypes (e.g., patient-derived organoids (PDOs) and differentiated iPSCs), and development of advanced automated workflows and AI tools (e.g., static and dynamic co-culture organ-on-a-chip (OOC) models, colony picking and bioprinting).

The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or experience to apply those skills toward imaging data (e.g., live cell microscopy). The successful candidate will contribute to advancing machine learning-driven analysis of high-content imaging data to achieve 1) better OOC tissue model functional evaluation and clinical benchmarking, 2) optimization on cost-efficient workflow and reproducibility. The candidate must have knowledge of current machine learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred. Strong coding skills in Python or a comparable programming language are expected, with the ability to develop analysis pipelines and tools that meet project deadlines and are suitable for publication-quality research. The role will involve developing novel computational approaches for biological discovery and working collaboratively in an interdisciplinary research environment. Additional expertise related to biological knowledge of the wet lab experimentation required to gather imaging data is an optional benefit.

This posted position is for a Staff Research Scientist at SDL6 (Human Organ Mimicry).

This is a two-year term with the possibility of renewal.

Expertise that is desired:

Computational expertise

• Life science and physical science applications of machine learning in biology, bioengineering or molecular biology or any other relevant fields.
• Programming and high-performance computing
• Experience in design of computational pipelines for large-scale imaging
• Experience with programming languages and scripting methods (i.e. Python, MATLAB, C++, CUDA, Bash, and/or SQL) and machine learning / deep learning methods
• Active learning, exploration, optimal experiment design, Bayesian optimization, reinforcement learning, and/or representation learning
• Experience in development and application of machine learning/deep learning methods for high throughput cell imaging data

Additional expertise that is desired (but not required):

• Experience with ML-based tools for image-analysis and signal processing, development of ML prediction tools
• Experience with PyTorch and/or TensorFlow, experience with databases and high-content imaging platforms
• Familiarity with generative modeling
• Experience with advanced ML techniques for representation learning and multi-modal data integration

The Staff Research Scientist will work with a diverse team of leading experts at U of T, including Professors Alán Aspuru-Guzik, Anatole von Lilienfeld, Florian Shkurti, Animesh Garg, Oleksandr Voznyy, Robert Batey, Cheryl Arrowsmith, Milica Radisic, and Vuk Stambolic. The Staff Research Scientist will also work with Staff Scientists in Human Organ Mimicry and AI SDL.

The Staff Research 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 self-driving 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 Research 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:

• Machine learning for SDL Development

Working with the AC community, including faculty and partners, this candidate will align computational methods with experimental workflows. The focus will be on developing advanced machine learning algorithms for monitoring various in vitro cell culture models (2D, 3D, organoids and OOCs), as well as enabling data-driven autonomous experimentation. Developing computational tools for the analysis of high-resolution microscopy images of complex tissue models and extracting biologically meaningful insights to support quality control and autonomous decision-making.

• SDL and Automation Development

Working with the AC community, including faculty and partners, determine the required capabilities of the SDLs to be built. Design and testing of closed-loop optimization campaigns for cell culture media optimization using the selected framework. Developing SDL plans to meet user requirements and designing novel instruments for autonomous cell culture experiments. 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 academic and industrial partners. Translating computational approaches ranging from 2D cell culture models to more complex 3D systems (i.e. organoids and OOCs), with the goal of creating advanced biomimetic models that closely replicate human organ functions and produce clinically relevant data. Preparing and publishing high-quality research manuscripts and contributing to grant writing efforts.

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
• Mentor junior lab members and promote a collaborative team environment

Other

• Supporting consulting services related to the application of SDLs for materials discovery for the AC’s partners
• Support research-focused events such as Annual Symposium

MINIMUM QUALIFICATIONS:

Education – Ph.D. in computational biology, bioinformatics, biophysics, biomedical engineering, computer science, or a related field.

Experience

• One (1) to 5 years of experience (inclusive of PhD and/or post-graduate work) in accelerated research and development in the area of development and application of machine learning/deep learning methods for biological or chemical data analysis
• 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, machine learning, and/or advanced computational analysis and modeling of biological phenomena
• Experience with overseeing the activities of a lab.
• 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
• Must have a strong scholarly publication record.

Skills

• Skills in electronic/hardware-oriented programming and machine learning
• Strong and effective communicator in oral and written English
• Collegial in working with team members and collaborators.
• Ability to work independently.

Other

• Demonstrated success in writing and preparing manuscripts, presentations, reports, briefs, and scientific abstracts, and manuscripts for peer-reviewed journals

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

Closing Date: 10/31/2025, 11:59PM ET
Employee Group: Research Associate
Appointment Type: Grant - Term (2 years term with possibility of renewal)
Schedule: Full-Time
Pay Scale Group & Hiring Zone: R01 -- Research Associates (Limited Term): $3,520 - 100,350 (salary will be assessed and may go above the range based on skills and experience)
Job Category: Research Administration & Teaching

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.

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