16 Research Scientist jobs in South Africa
Research Scientist
Posted today
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Job Description
JOB TITLE
Research ScientistLOCATION
WorcesterDEPARTMENT NAME
Mechanical Engineering - NFR JMDIVISION NAME
Worcester Polytechnic Institute - WPIJOB DESCRIPTION SUMMARY
We are seeking a highly skilled and driven individual with expertise in materials science and mechanical engineering to lead a project in materials and structures for extreme environments. This initiative is a collaborative venture between aerospace corporate partners and a multi-disciplinary team of researchers at WPI with the goal of developing novel coating technologies to enhance the durability and reliability of engine blade components. The Research Scientist position will involve designing methodology/setups and conducting experiments that will contribute to the development of novel thermal barrier coatings for advanced turbine airfoils. The candidate should be prepared to work in a fast-paced environment, which requires regular reports and presentations to research sponsors.WPI is passionate about creating an inclusive workplace that promotes and values diversity. We encourage applications from candidates who can support our commitment to equity, diversity, and inclusion.
JOB DESCRIPTION
Responsibilities- Design experimental methodology/setups for thermal gradient testing of thermal barrier coatings (TBCs) in engine turbine blades under high temperatures and aggressive environments
- Conduct spallation life testing of TBCs under a thermal gradient to assess the effect of factors such as temperature, cycle, and loading conditions on the life of TBCs
- Serve as a technical and programmatic liaison to engineers and scientists at our corporate partners on the development of testing methods and conducting testing of TBCs
- Coordinate with the research team at WPI on experimental investigations and modeling to quantify mechanical and interfacial behavior of TBCs
- Coordinate with the research team at WPI for experimental investigations and modeling of thermo-mechanical fatigue of superalloys used in engine turbine blades
- Train personnel (graduate students, post-doctoral fellows, corporate researchers on testing methods, analysis, and characterization
- Collaborate with WPI faculty from various departments to deliver technical results and progress in the form of technical reports, publications, and presentations
- Ph.D. in Materials Science and Engineering, Mechanical Engineering, Aerospace Engineering, Applied Physics, or related fields
- Practical knowledge of design of experimental setups and standard lab practices
- Experience in experimental mechanics (in particular, mechanical testing, thermal and environmental testing, and basic material characterization (SEM, TEM, EBSD))
- Ability to work independently and in large multi-disciplinary teams
- Excellent oral and written communication skills
- Experience designing, building, and conducting experiments that involve combustion and high temperature
- Experience with data acquisition, instrumentation, and/or signal conditioning
- Experience in the mechanical and thermal testing of coatings/thin films
- Basic knowledge of mechanics of materials (thermo-mechanical fatigue, creep, fracture mechanics), interface adhesion testing, and life predictions
- Basic knowledge of numerical modeling and finite element software
- Cover Letter / Statement of Interest
- Curriculum Vitae
- List of References
FLSA STATUS
United States of America (Exempt)WPI is an Equal Opportunity Employerthat actively seeks to increase the diversityof its workplace. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status,or disability. It seeks individuals withdiverse backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making.It is committed to maintaining a campus environment free of harassment and discrimination.
Thank you for your interest in a career with Worcester Polytechnic Institute. You may review the status of your application on your candidate home account. Please continue to check for new openings and follow our social media links to stay up to date on what is happening at WPI.
WPI strives to provide very competitive and comprehensive benefits ranging from health insurance, retirement, tuition assistance, flexible spending accounts, work-life and much more. If you want a new challenge and want to make a difference, then WPI can help you get there!
WPI is a vibrant, active, and diverse community of world-renowned faculty, extraordinary students, and dedicated staff—all committed to changing the world. At WPI, we have competitive and comprehensive benefits, including health insurance, retirement, tuition assistance, flexible spending accounts, work-life balance and much more.
WPI is committed to creating an inclusive workplace culture where everyone feels valued and respected; a place where every student, faculty and staff member can belong, so that they can study, live, and work comfortably, to reach their full potential, and make meaningful contributions in order to meet departmental and institutional goals. WPI thrives on innovative practice and welcomes diverse perspectives, insight, and people from diverse lived experiences, to enhance the community environment and propel the institution to the next level in a competitive, global marketplace. Please take the time to read our diversity r ecruitment brochure showcasing testimonials from many of our employees who come from diverse backgrounds and contribute to the vibrant and inclusive community at WPI.
#J-18808-LjbffrResearch Scientist
Posted 3 days ago
Job Viewed
Job Description
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.
#J-18808-LjbffrResearch Scientist
Posted today
Job Viewed
Job Description
JOB TITLE
Research ScientistLOCATION
WorcesterDEPARTMENT NAME
Mechanical Engineering - NFR JMDIVISION NAME
Worcester Polytechnic Institute - WPIJOB DESCRIPTION SUMMARY
We are seeking a highly skilled and driven individual with expertise in materials science and mechanical engineering to lead a project in materials and structures for extreme environments. This initiative is a collaborative venture between aerospace corporate partners and a multi-disciplinary team of researchers at WPI with the goal of developing novel coating technologies to enhance the durability and reliability of engine blade components. The Research Scientist position will involve designing methodology/setups and conducting experiments that will contribute to the development of novel thermal barrier coatings for advanced turbine airfoils. The candidate should be prepared to work in a fast-paced environment, which requires regular reports and presentations to research sponsors. WPI is passionate about creating an inclusive workplace that promotes and values diversity. We encourage applications from candidates who can support our commitment to equity, diversity, and inclusion.JOB DESCRIPTION
Responsibilities- Design experimental methodology/setups for thermal gradient testing of thermal barrier coatings (TBCs) in engine turbine blades under high temperatures and aggressive environments
- Conduct spallation life testing of TBCs under a thermal gradient to assess the effect of factors such as temperature, cycle, and loading conditions on the life of TBCs
- Serve as a technical and programmatic liaison to engineers and scientists at our corporate partners on the development of testing methods and conducting testing of TBCs
- Coordinate with the research team at WPI on experimental investigations and modeling to quantify mechanical and interfacial behavior of TBCs
- Coordinate with the research team at WPI for experimental investigations and modeling of thermo-mechanical fatigue of superalloys used in engine turbine blades
- Train personnel (graduate students, post-doctoral fellows, corporate researchers on testing methods, analysis, and characterization
- Collaborate with WPI faculty from various departments to deliver technical results and progress in the form of technical reports, publications, and presentations
- Ph.D. in Materials Science and Engineering, Mechanical Engineering, Aerospace Engineering, Applied Physics, or related fields
- Practical knowledge of design of experimental setups and standard lab practices
- Experience in experimental mechanics (in particular, mechanical testing, thermal and environmental testing, and basic material characterization (SEM, TEM, EBSD))
- Ability to work independently and in large multi-disciplinary teams
- Excellent oral and written communication skills
- Experience designing, building, and conducting experiments that involve combustion and high temperature
- Experience with data acquisition, instrumentation, and/or signal conditioning
- Experience in the mechanical and thermal testing of coatings/thin films
- Basic knowledge of mechanics of materials (thermo-mechanical fatigue, creep, fracture mechanics), interface adhesion testing, and life predictions
- Basic knowledge of numerical modeling and finite element software
- Cover Letter / Statement of Interest
- Curriculum Vitae
- List of References
FLSA STATUS
United States of America (Exempt)WPI is an Equal Opportunity Employerthat actively seeks to increase the diversityof its workplace. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status,or disability. It seeks individuals withdiverse backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making.It is committed to maintaining a campus environment free of harassment and discrimination.
Thank you for your interest in a career with Worcester Polytechnic Institute. You may review the status of your application on your candidate home account. Please continue to check for new openings and follow our social media links to stay up to date on what is happening at WPI.
WPI strives to provide very competitive and comprehensive benefits ranging from health insurance, retirement, tuition assistance, flexible spending accounts, work-life and much more. If you want a new challenge and want to make a difference, then WPI can help you get there!
WPI is a vibrant, active, and diverse community of world-renowned faculty, extraordinary students, and dedicated staff—all committed to changing the world. At WPI, we have competitive and comprehensive benefits, including health insurance, retirement, tuition assistance, flexible spending accounts, work-life balance and much more.
WPI is committed to creating an inclusive workplace culture where everyone feels valued and respected; a place where every student, faculty and staff member can belong, so that they can study, live, and work comfortably, to reach their full potential, and make meaningful contributions in order to meet departmental and institutional goals. WPI thrives on innovative practice and welcomes diverse perspectives, insight, and people from diverse lived experiences, to enhance the community environment and propel the institution to the next level in a competitive, global marketplace. Please take the time to read our diversity r ecruitment brochure showcasing testimonials from many of our employees who come from diverse backgrounds and contribute to the vibrant and inclusive community at WPI.
#J-18808-LjbffrResearch Scientist
Posted today
Job Viewed
Job Description
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.
#J-18808-LjbffrResearch scientist
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Lecturer/ Senior Lecturer/ Research Scientist
Posted 16 days ago
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Join to apply for the Lecturer/ Senior Lecturer/ Research Scientist role at Southern Centre for Inequality Studies (SCIS) Wits University
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Job Title Lecturer/ Senior Lecturer/ Research Scientist Location Parktown,ZA Organization Name Faculty Research (FRC) Department Description
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.
- 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.
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 cover letter outlining your interest and suitability for this Lecturer/ Senior Lecturer / Researcher position.
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 Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Education and Training
- Industries Higher Education
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#J-18808-LjbffrLecturer/ senior lecturer/ research scientist
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Staff Research Scientist (Machine Learning Specialist) - SDL6
Posted today
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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
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