282 AI Researcher jobs in South Africa

You will work closely with our cross-functional teams to develop and deploy AI solutions tailored to our specific needs. This is a hybrid position requiring a self-equipped workstation with a personal computer and a reliable internet connection from home, with occasional in-person meetings at our Westville office.

1. Analyze AI technologies and assess their potential impact on departmental efficiency.
2. Collaborate with internal stakeholders to understand their needs and identify opportunities for implementing AI across various departments, including operations, finance, and customer service.
3. Research AI models, algorithms, and systems to automate tasks, streamline processes, and improve decision-making.
4. Provide recommendations and feedback on the implementation of AI solutions.
5. Work with cross-functional teams to ensure successful implementation and integration of AI solutions.
6. Stay updated with the latest advancements in AI and industry best practices to drive innovation and maintain a competitive edge.
7. Communicate findings, insights, and recommendations to key stakeholders through reports, presentations, and demonstrations.
8. Integrate AI capabilities into existing systems and applications while ensuring compliance with data privacy and security regulations.

1. Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
2. Proven experience in AI research, machine learning, and data analysis.
3. Strong knowledge of AI algorithms, frameworks, and tools.
4. Experience with programming languages such as Python, Java, or C++, and familiarity with machine learning frameworks is an advantage (e.g., TensorFlow, PyTorch).
5. Excellent analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
6. Familiarity with data privacy and security regulations.
7. Strong communication and collaboration skills, with the ability to work effectively in a team environment.
8. Prior experience in implementing AI solutions for workplace efficiency or process automation is a plus.

Who we are: iX Online is a proudly South African and independent digital solutions company that specializes in website design, vehicle stock solutions, and digital marketing. With over 20 years of experience, we help businesses maximize their potential by using the internet as a tool to generate and manage leads, analyze sales, and communicate with customers.

What we do:

• Web Design: We offer the best web design solutions on the market. Built to not only attract customers but also keep them engaged, our website design services are a must for all businesses.
• Smart Manager: A suite of online tools and services to manage your stock, leads, and customers. All geared to generating more leads and converting those leads into sales.
• Amplify360: An exclusive online digital marketing agency generating online enquiries through various social media and online channels. Best of class in terms of combined lead quantities, quality, and cost-effectiveness.

Graduate Technology Consultant (AI & Development)

Elenjical Solutions is a leading Capital Markets and Risk Technology consulting firm with a global presence. We are actively seeking a passionate Graduate Technology Consultant to join our team. The role emphasizes machine learning and AI, with responsibilities across software development and technology consulting projects.

The role demands an individual who is naturally proactive, a curious innovator, and a rapid learner. While there is a strong emphasis on machine learning and AI, candidates should expect responsibilities to extend into broader software development and technology consulting projects across our business.

• Assist in design and development of AI/ML solutions as part of client engagements.
• Participate in requirements gathering and solution design.
• Implement software components and integrate AI/ML models into applications.
• Collaborate with cross-functional teams to deliver projects on time.
• Contribute to project scoping, estimation, and planning.
• Assist with configuration, deployment, and documentation of solutions.

• Bachelor's (4-year) or Master's degree in Machine Learning, Data Science, Computer Engineering, or Computer Science from an accredited university.
• Strong foundation in calculus, statistics, linear algebra, and differential equations.
• 0–2 years of relevant experience. Prior coursework or training in ML/AI is advantageous.
• Proficiency in Python with libraries like TensorFlow, Keras, PyTorch, and scikit-learn.
• Familiarity with SQL and relational databases.
• Exposure to general software engineering practices is advantageous.

Interested candidates are invited to send their CV and academic transcript to: .

Join us in shaping the future of AI and software innovation

JOB TITLE

LOCATION

DEPARTMENT NAME

DIVISION NAME

JOB DESCRIPTION SUMMARY

JOB DESCRIPTION

• 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

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.

To provide scientific leadership, mentorship and support to multi-disciplinary teams in the laboratory environment at the Platform.

Technology Innovation Agency (TIA) is a talent driven, customer- centric and impact focused organisation. In our endeavour to support technology innovation with socio-economic outcomes; we seek to infuse the organisation with team players that find resonance as value creators, agile thinkers, progressive attitudes, customer-centricity, dynamic work ethic and an optimistic disposition. We aim to harness these attributes in a manner that they culminate into a culture of teamwork, impact and accountability.

In executing its mandate, the organisation provides funding and non-funding support to stimulate innovation so that it provides a catalytic impact to the economy whilst improving people's lives and protecting the environment. The Agency endeavours to promote the careers of previously disadvantaged persons by applying the principles of the Employment Equity Act, as amended.

The agency reserve thed right not to fill this position.

Qualifications

• MSc Molecular Biology, Biotechnology, Biochemistry or Microbiology
• Preferred: PhD degree

Work Exprerience

• 4 years' experience in the relevant scientific field.
• Be registered with the relevant professional legislated regulatory body. i.e. HPCSA, SACNASP

Finance

• Give input to the formulation of the operational budget and monitor and track applicable spending.
• Provide leadership with expenditure undertaken by the diagnostic section
• Manage and monitor financial obligations that projects have to TIA (e.g. service fees, generation of service quotes, invoices etc)
• Solicit additional funding through submission funding proposals

Stakeholder Relations Plans

• Assume custodianship for linking the Platform and diagnostic section with relevant accreditation authority.
• Manage effective internal and/or external Stakeholder relationships:
• Deliver required service to the stakeholder on brief, time and with quality
• Respond timeous to queries of the stakeholder
• Maintain professional engagements and continuously exceed expectations

Internal Processes

• Lead a multidisciplinary team in diagnostic section, to deliver on approved assignment and assays.
• Provide project management and leadership on assigned projects including project costing
• Provide critical input into the operational plan of the Platform with regards to the area of expertise, i.e. diagnostic sections.
• Lead process of certifying the Diagnostic section in according to the relevant requirement i.e. SANAS. DoH etc
• Develop research protocols and SOP for the laboratory with assistance from other Platform scientists
• Ensure timeous and accurate reporting as per requirements to clients, funders, and other stakeholders. Prepare technical reports, summaries and protocols of the reports
• Compile internal and external proposals with input from the Platform technical team & complete external project review forms
• Ensure adherence to all legal compliance and business processes
• Conduct a technical feasibility study and project definition meeting
• Define a consolidated project plan with deliverables as identified in the project definition meeting
• Source approved equipment and consumables and manage stock levels
• Manage the lab equipment and oversee the general housekeeping of the laboratory.
• Manage SLA's and service received from providers.
• Develop new products and processes at the Platform: Design experiments, analyses results and compile SOP's and test methods in line with client needs and statutory requirements.
• Trouble shoot experimental problems and find solutions
• Draft and publish scientific and technical papers

Governance and Compliance

• Ensure compliance with Legislation, e.g. PFMA and National Treasury Guidelines;
• Ensure compliance to all relevant accounting Standards, Policies and Frameworks; and
• Ensure Compliance with TIA Standard Operating Procedures
• Be registered with the relevant professional legislated regulatory body. i.e. HPCSA, SACNASP

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

Senior Research Scientist - Oceanographer

Department of Primary Industries and Regions

Job Reference:
Location: 5024 - WEST BEACH
Job Status: Long Term Contract
Eligibility: Open to Everyone

We have an opportunity for a Senior Research Scientist (Oceanographer) to be part of our South Australian Research and Development Institute Division within the Department of Primary Industries and Regions.

The primary purpose of the role is to lead and deliver complex research projects, field data collection, and advanced modelling to improve understanding of oceanographic processes and their influence on South Australia’s marine ecosystems and fisheries.

The role is responsible for providing specialist advice and contribution to the development and application of regional hydrodynamic and biogeochemical models, and the analysis of ocean observing data, to inform evidence-based decision-making by government and industry.

South Australia is internationally recognised for the quality of its agriculture, food, and wine. Our regions are the backbone of our state and the economic powerhouse that drives prosperity for all South Australians.

The Department of Primary Industries and Regions (PIRSA) is a key economic development agency working in partnership with our primary industries, regional stakeholders and across all levels of government to advance the prosperity and sustainability of South Australia’s primary industries and regional communities.

At the Department of Primary Industries and Regions, we offer our employees challenging and rewarding work with opportunities for career progression, learning and development, and flexibility.

The Department of Primary Industries and Regions is an equal opportunity employer and is committed to building a diverse and inclusive workplace. We embrace diversity and welcome applications from all people, irrespective of culture, faith, sexual orientation, gender identity, disability, or age.

• Possession of a current driver’s licence and willingness to drive.
• Out of hours work and inter/intrastate travel may be required.
• Australian residency or current work permit is required (responsibility of applicant to provide evidence of a current work permit).
• You acknowledge your work, health and safety obligations and our expectations when applying for a role.
• The incumbent will be required to undertake emergency management training and must be willing to participate in emergency preparedness, response and recovery activities required by government agencies.
• Periods of time will be spent at sea on small boats and large research vessels.
• The incumbent will be required to contribute to whole-of-agency working groups developing PIRSA policy responses to significant and emerging issues as required.

• PhD in physical, biological, or biogeochemical oceanography or a related discipline with a strong focus on oceanographic modelling.

PO4 - $110,696 min - $120,470 max per annum, plus superannuation

Mark Doubell, Research Scientist - Sub Program Leader
Phone:
Email:

All applications must be submitted online. If you are interested in this opportunity, please outline your skills and experience in relation to the Professional and Technical Knowledge, Collaborative approach, and Initiative capabilities of the role description.

The South Australian public sector promotes diversity and flexible ways of working, including part-time. Applicants are encouraged to discuss the flexible working arrangements for this role.