81 AI Research jobs in South Africa

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Staff Research Scientist (AI for Chemistry, term 2-year) Date Posted: 04/25/2025Req ID: 42677Faculty/Division: Faculty of Arts & ScienceDepartment: Acceleration ConsortiumCampus: 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. Hiring is occurring on a rolling intake. Please apply ASAP and do not wait for the listed job closing date. The Acceleration Consortium received a$200 M Canadian First Research Excellence Grantf or seven years to develop self-driving labs for chemistry and materials, the largest ever grant to a Canadian University. This grant will provide the Acceleration Consortium with seven years of funding to execute its vision The AC is developing seven advanced SDLs 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 Colombia partner lab) A central AI and Automation lab to support all the SDLs This posted position is for a role with SDL2 (Organic Small Molecules) We seek a scientist to develop ML-driven tools for accelerating organic synthesis and novel material discovery. The role involves leveraging cheminformatics and generative models to design molecules, predict reaction pathways, and optimize materials for applications in sustainability, healthcare, or energy. Expertise that is desired: Cheminformatics and Machine Learning Demonstrated development or application of machine learning tools to address chemical problems, including but not limited to: property prediction, reaction prediction, condition optimization, retrosynthesis, interpretable machine learning, nature language processing for data-mining and human-robot interfacing,and generative models (e.g. GANs, VAE, and diffusion models) for de novo molecular design. Proven experience in cheminformatics pipelines using tools such as RDKit, various molecular representation and encoding methods (SMILES, SELFIES, graph-based models), QSAR, virtual screening, or molecular docking/simulations. Knowledge in quantum chemistry calculations and molecule dynamics. Additional expertise that is desired (but not required): General Programming Dataset curation, database management, and data-mining skills Computational chemistry pipelines, and physics-informed material discovery Additional expertise that is desired (but not required): Organic Chemistry Basic understanding of organic chemistry Collaborative experience with experimental chemists on synthetic organic chemistry or catalyst development projects. Staff Scientists will work with a diverse team of leading experts at U of T, including Faculty Prof. Alan Aspuru-Guzik, Prof. Sophie Rousseaux,and Acceleration Consortium Staff Scientists Dr. Han Hao, Dr. Xiaoman Guo, Dr. Yang Cao, and Dr. Eric Isbrandt; as well as the broader Acceleration Consortium team. The Staff Scientists involved in the AC are highly skilled and experienced researchers who will work independently to develop the AI and automation technologies required to build robust and scalable 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 Scientists will work collectively, sharing knowledge among each other, and with faculty, and trainees. This role will report to the Academic Director and Executive Director of the Acceleration Consortium. The components and duties of the work can include: SDL and Automation Development Working with the AC community, including faculty and partners, to determine the required capabilities of the SDLs to be built. Developing the plans for SDLs that will meet user requirements and designing novel instruments for automated material synthesis and characterization. Developing customized hardware and Python software packages to build SDLs. Selecting, procurement, and installation of the equipment required for SDLs. Research Direction Develop research programs that leverage the AC’s SDLs and support the research objectives of AC faculty and industry partners. Using SDLs to synthesize and characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks include: Implementing research and development projects of AC’s industry partners when implemented in AC labs. Developing plans that support research collaborations and planning 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 the preparation and submission of research proposals to granting agencies and progress reporting. Preparing manuscripts for submission to peer-reviewed publications/journals and stewarding them through the process. Other Supporting consulting services related to the application of SDLs for materials discovery for the AC’s partners. Support research-focused events such as the Annual Symposium MINIMUM QUALIFICATIONS: Education – Ph. D. inchemistry, materials science, life sciences, physics, engineering, robotics, computer science, applied mathematicsor related discipline Experience 1 to 5 years of experience (inclusive of Ph D and/or post-graduate work)in accelerated R&D in the area of cheminformaticsand molecule design. Experience working with industry partners and on industry lead research and development projects. Expert knowledge of AI and automation and experience with the development of self-driving laboratories Experience presenting research at academic conferences. Skills Strong and effective communicator in oral and written English Collegial in working with team members and collaborators. Ability to work independently. Other Must have a strong publication record. Demonstrated success in the writing and preparation of 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: 08/31/2025, 11:59 PM ETEmployee Group: Research AssociateAppointment Type : Grant - TermSchedule: Full-TimePay Scale Group & Hiring Zone: R01 -- Research Associates (Limited Term): $2,574 - 98,576, salary will be assessed based on skills and experience Job Category: Administrative / Managerial All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Diversity Statement The University of Toronto embraces Diversity and is building aculture of belonging that increases our capacity to effectivelyaddress and serve the interests of our global community. Westrongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons withdisabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment toequity, diversity and inclusion and recognize that diverseperspectives, experiences, and expertise are essential tostrengthening our academic mission.As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see . 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 . #J-18808-Ljbffr

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Staff Research Scientist (AI for Chemistry, term 2-year) Date Posted: 04/25/2025Req ID: 42677Faculty/Division: Faculty of Arts & ScienceDepartment: Acceleration ConsortiumCampus: 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. Hiring is occurring on a rolling intake. Please apply ASAP and do not wait for the listed job closing date. The Acceleration Consortium received a$200 M Canadian First Research Excellence Grantf or seven years to develop self-driving labs for chemistry and materials, the largest ever grant to a Canadian University. This grant will provide the Acceleration Consortium with seven years of funding to execute its vision The AC is developing seven advanced SDLs 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 Colombia partner lab) A central AI and Automation lab to support all the SDLs This posted position is for a role with SDL2 (Organic Small Molecules) We seek a scientist to develop ML-driven tools for accelerating organic synthesis and novel material discovery. The role involves leveraging cheminformatics and generative models to design molecules, predict reaction pathways, and optimize materials for applications in sustainability, healthcare, or energy. Expertise that is desired: Cheminformatics and Machine Learning Demonstrated development or application of machine learning tools to address chemical problems, including but not limited to: property prediction, reaction prediction, condition optimization, retrosynthesis, interpretable machine learning, nature language processing for data-mining and human-robot interfacing,and generative models (e.g. GANs, VAE, and diffusion models) for de novo molecular design. Proven experience in cheminformatics pipelines using tools such as RDKit, various molecular representation and encoding methods (SMILES, SELFIES, graph-based models), QSAR, virtual screening, or molecular docking/simulations. Knowledge in quantum chemistry calculations and molecule dynamics. Additional expertise that is desired (but not required): General Programming Dataset curation, database management, and data-mining skills Computational chemistry pipelines, and physics-informed material discovery Additional expertise that is desired (but not required): Organic Chemistry Basic understanding of organic chemistry Collaborative experience with experimental chemists on synthetic organic chemistry or catalyst development projects. Staff Scientists will work with a diverse team of leading experts at U of T, including Faculty Prof. Alan Aspuru-Guzik, Prof. Sophie Rousseaux,and Acceleration Consortium Staff Scientists Dr. Han Hao, Dr. Xiaoman Guo, Dr. Yang Cao, and Dr. Eric Isbrandt; as well as the broader Acceleration Consortium team. The Staff Scientists involved in the AC are highly skilled and experienced researchers who will work independently to develop the AI and automation technologies required to build robust and scalable 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 Scientists will work collectively, sharing knowledge among each other, and with faculty, and trainees. This role will report to the Academic Director and Executive Director of the Acceleration Consortium. The components and duties of the work can include: SDL and Automation Development Working with the AC community, including faculty and partners, to determine the required capabilities of the SDLs to be built. Developing the plans for SDLs that will meet user requirements and designing novel instruments for automated material synthesis and characterization. Developing customized hardware and Python software packages to build SDLs. Selecting, procurement, and installation of the equipment required for SDLs. Research Direction Develop research programs that leverage the AC’s SDLs and support the research objectives of AC faculty and industry partners. Using SDLs to synthesize and characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks include: Implementing research and development projects of AC’s industry partners when implemented in AC labs. Developing plans that support research collaborations and planning 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 the preparation and submission of research proposals to granting agencies and progress reporting. Preparing manuscripts for submission to peer-reviewed publications/journals and stewarding them through the process. Other Supporting consulting services related to the application of SDLs for materials discovery for the AC’s partners. Support research-focused events such as the Annual Symposium MINIMUM QUALIFICATIONS: Education – Ph. D. inchemistry, materials science, life sciences, physics, engineering, robotics, computer science, applied mathematicsor related discipline Experience 1 to 5 years of experience (inclusive of Ph D and/or post-graduate work)in accelerated R&D in the area of cheminformaticsand molecule design. Experience working with industry partners and on industry lead research and development projects. Expert knowledge of AI and automation and experience with the development of self-driving laboratories Experience presenting research at academic conferences. Skills Strong and effective communicator in oral and written English Collegial in working with team members and collaborators. Ability to work independently. Other Must have a strong publication record. Demonstrated success in the writing and preparation of 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: 08/31/2025, 11:59 PM ETEmployee Group: Research AssociateAppointment Type : Grant - TermSchedule: Full-TimePay Scale Group & Hiring Zone: R01 -- Research Associates (Limited Term): $2,574 - 98,576, salary will be assessed based on skills and experience Job Category: Administrative / Managerial All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Diversity Statement The University of Toronto embraces Diversity and is building aculture of belonging that increases our capacity to effectivelyaddress and serve the interests of our global community. Westrongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons withdisabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment toequity, diversity and inclusion and recognize that diverseperspectives, experiences, and expertise are essential tostrengthening our academic mission.As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see . 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 . #J-18808-Ljbffr

Join AIMS South Africa, and work on deep learning for bioacoustics research! This is an in-person postdoc fellowship.

If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply!

AIMS South Africa in Cape Town, a few meters from the beach! ?
Application deadline: applications will be reviewed as they are received
Start date: immediate

WWF Report & Post-Doctoral Fellowship Opportunity WWF Report on Wildlife Population

A recent report issued by theWWF states that there has been a catastrophic decline in wildlife population in recent years. A large number of species are threatened with extinction due to a number of factors. Further conservation efforts are still urgently required to ensure the survival of the remaining individuals.

Fellowship Opportunity

TheAfrican Institute for Mathematical Sciences (AIMS) andStellenbosch University are looking to appoint a post-doctoral fellow to work in the area of deep learning and bioacoustics. The fellow will work as part of a collaborative team of local and international researchers to address important conservation issues.

This fellowship aims at investigating deep learning models for passive acoustic monitoring of animal species. The data will primarily be acoustic data, however additional sources may be used to supplement the investigation. The fellow will research state-of-the-art techniques in deep learning and mathematics to address critical conservation problems. The fellow will develop software code for audio processing, and suitable deep neural networks, typically in TensorFlow or other libraries. Research outputs will be submitted to Q1 ranked international journals.

The fellow will work closely withDr. Emmanuel Dufourq and theMachine Learning for Ecology Research Group . The fellow will work at AIMS South Africa which is located in the beautiful city of Muizenberg, Cape Town, South Africa. AIMS is located just a few meters from Muizenberg beach! The fellow will also have the opportunity to travel to Rwanda and contribute to AIMS Rwanda.

Core Responsibilities

• Participate fully in the project including research design, literature review, software and model implementation, data analysis, data annotation, writing manuscripts, and giving academic talks.
• Maintain research code in a GitHub repository and use current programming practices.
• Actively participate in research meetings and take initiative to grow the group’s collaborative network.
• Co-supervise students in the area of deep learning for wildlife monitoring.
• Assist the research group in research and academic tasks.
• 40 hours of research work per week.

Requirements

• Ph.D. in a relevant mathematical science (e.g. computer science, mathematics, …).
• Strong experience in deep learning (TensorFlow, PyTorch,…) and Python programming.
• Clear evidence of completed deep learning projects in computer vision or audio tasks.
• Good mathematical and problem solving skills as the candidate will actively engage in this.
• A strong desire to apply machine learning to bioacoustics problems.
• Proven ability to publish in reputable peer-reviewed journals (Q1 or Q2 ranked, check ranking here).
• Strong communication skills (English written, oral, and presentation).

If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! If you love to code and chat about research, then you’ll have a great time!

The award is compliant with the SARS rules for tax exemption and is tenable for two years, subject to submission of a satisfactory progress report and the availability of funds. Tax is not paid on this funding, and thus the candidate would have full access to the funds. Note that this is not a remote position, and the fellow will have to be present at AIMS South Africa for the duration of the fellowship. The fellow will be responsible for their living arrangements and visa application if needed. Candidates who are immediately able to come to Cape Town are encouraged to apply.

Start date

Immediately, in-person in Cape Town

Applications must include

1. A complete CV,
2. Proof of Ph.D. completion,
3. A covering letter detailing the candidate’s experience (especially in deep learning for computer vision or audio), availability to start, and explain your interest in machine learning for bioacoustics. Propose a tentative research project related to this call, and how you would address the research question. Cover letters should be aligned with the research group’s interest.

Send your application as a single PDF file to Only shortlisted candidates will be contacted for an online interview. Contact Dr. Emmanuel Dufourq ( ) for details regarding this position.

Women are strongly encouraged to apply. Applications will be reviewed as soon as they are received (first come first served basis).

DISCLAIMER: AIMS South Africa reserves the right to disqualify ineligible, incomplete and/or inappropriate applications. AIMS also reserves the right not to make an appointment to the position as advertised or to extend the deadline for applications.

#J-18808-Ljbffr

Join AIMS South Africa, and work on deep learning for bioacoustics research! This is an in-person postdoc fellowship.

If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply!

AIMS South Africa in Cape Town, a few meters from the beach! ?
Application deadline: applications will be reviewed as they are received
Start date: immediate

WWF Report & Post-Doctoral Fellowship Opportunity WWF Report on Wildlife Population

A recent report issued by the WWF states that there has been a catastrophic decline in wildlife population in recent years. A large number of species are threatened with extinction due to a number of factors. Further conservation efforts are still urgently required to ensure the survival of the remaining individuals.

Fellowship Opportunity

The African Institute for Mathematical Sciences (AIMS) and Stellenbosch University are looking to appoint a post-doctoral fellow to work in the area of deep learning and bioacoustics. The fellow will work as part of a collaborative team of local and international researchers to address important conservation issues.

This fellowship aims at investigating deep learning models for passive acoustic monitoring of animal species. The data will primarily be acoustic data, however additional sources may be used to supplement the investigation. The fellow will research state-of-the-art techniques in deep learning and mathematics to address critical conservation problems. The fellow will develop software code for audio processing, and suitable deep neural networks, typically in TensorFlow or other libraries. Research outputs will be submitted to Q1 ranked international journals.

The fellow will work closely with Dr. Emmanuel Dufourq and the Machine Learning for Ecology Research Group . The fellow will work at AIMS South Africa which is located in the beautiful city of Muizenberg, Cape Town, South Africa. AIMS is located just a few meters from Muizenberg beach! The fellow will also have the opportunity to travel to Rwanda and contribute to AIMS Rwanda.

Core Responsibilities

• Participate fully in the project including research design, literature review, software and model implementation, data analysis, data annotation, writing manuscripts, and giving academic talks.
• Maintain research code in a GitHub repository and use current programming practices.
• Actively participate in research meetings and take initiative to grow the group’s collaborative network.
• Co-supervise students in the area of deep learning for wildlife monitoring.
• Assist the research group in research and academic tasks.
• 40 hours of research work per week.

Requirements

• Ph.D. in a relevant mathematical science (e.g. computer science, mathematics, …).
• Strong experience in deep learning (TensorFlow, PyTorch,…) and Python programming.
• Clear evidence of completed deep learning projects in computer vision or audio tasks.
• Good mathematical and problem solving skills as the candidate will actively engage in this.
• A strong desire to apply machine learning to bioacoustics problems.
• Proven ability to publish in reputable peer-reviewed journals (Q1 or Q2 ranked, check ranking here).
• Strong communication skills (English written, oral, and presentation).

If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! If you love to code and chat about research, then you’ll have a great time!

The award is compliant with the SARS rules for tax exemption and is tenable for two years, subject to submission of a satisfactory progress report and the availability of funds. Tax is not paid on this funding, and thus the candidate would have full access to the funds. Note that this is not a remote position, and the fellow will have to be present at AIMS South Africa for the duration of the fellowship. The fellow will be responsible for their living arrangements and visa application if needed. Candidates who are immediately able to come to Cape Town are encouraged to apply.

Start date

Immediately, in-person in Cape Town

Applications must include

1. A complete CV,
2. Proof of Ph.D. completion,
3. A covering letter detailing the candidate’s experience (especially in deep learning for computer vision or audio), availability to start, and explain your interest in machine learning for bioacoustics. Propose a tentative research project related to this call, and how you would address the research question. Cover letters should be aligned with the research group’s interest.

Send your application as a single PDF file to Only shortlisted candidates will be contacted for an online interview. Contact Dr. Emmanuel Dufourq ( ) for details regarding this position.

Women are strongly encouraged to apply. Applications will be reviewed as soon as they are received (first come first served basis).

DISCLAIMER: AIMS South Africa reserves the right to disqualify ineligible, incomplete and/or inappropriate applications. AIMS also reserves the right not to make an appointment to the position as advertised or to extend the deadline for applications.

#J-18808-Ljbffr

Join AIMS South Africa, and work on deep learning for bioacoustics research! This is an in-person postdoc fellowship. If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! AIMS South Africa in Cape Town, a few meters from the beach! ?Application deadline: applications will be reviewed as they are receivedStart date: immediate WWF Report & Post-Doctoral Fellowship Opportunity WWF Report on Wildlife Population A recent report issued by theWWF states that there has been a catastrophic decline in wildlife population in recent years. A large number of species are threatened with extinction due to a number of factors. Further conservation efforts are still urgently required to ensure the survival of the remaining individuals. Fellowship Opportunity TheAfrican Institute for Mathematical Sciences (AIMS) andStellenbosch University are looking to appoint a post-doctoral fellow to work in the area of deep learning and bioacoustics. The fellow will work as part of a collaborative team of local and international researchers to address important conservation issues. This fellowship aims at investigating deep learning models for passive acoustic monitoring of animal species. The data will primarily be acoustic data, however additional sources may be used to supplement the investigation. The fellow will research state-of-the-art techniques in deep learning and mathematics to address critical conservation problems. The fellow will develop software code for audio processing, and suitable deep neural networks, typically in Tensor Flow or other libraries. Research outputs will be submitted to Q1 ranked international journals. The fellow will work closely withDr. Emmanuel Dufourq and theMachine Learning for Ecology Research Group . The fellow will work at AIMS South Africa which is located in the beautiful city of Muizenberg, Cape Town, South Africa. AIMS is located just a few meters from Muizenberg beach! The fellow will also have the opportunity to travel to Rwanda and contribute to AIMS Rwanda. Core Responsibilities Participate fully in the project including research design, literature review, software and model implementation, data analysis, data annotation, writing manuscripts, and giving academic talks. Maintain research code in a Git Hub repository and use current programming practices. Actively participate in research meetings and take initiative to grow the group’s collaborative network. Co-supervise students in the area of deep learning for wildlife monitoring. Assist the research group in research and academic tasks. 40 hours of research work per week. Requirements Ph. D. in a relevant mathematical science (e.g. computer science, mathematics, …). Strong experience in deep learning (Tensor Flow, Py Torch,…) and Python programming. Clear evidence of completed deep learning projects in computer vision or audio tasks. Good mathematical and problem solving skills as the candidate will actively engage in this. A strong desire to apply machine learning to bioacoustics problems. Proven ability to publish in reputable peer-reviewed journals (Q1 or Q2 ranked, check ranking here). Strong communication skills (English written, oral, and presentation). If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! If you love to code and chat about research, then you’ll have a great time! The award is compliant with the SARS rules for tax exemption and is tenable for two years, subject to submission of a satisfactory progress report and the availability of funds. Tax is not paid on this funding, and thus the candidate would have full access to the funds. Note that this is not a remote position, and the fellow will have to be present at AIMS South Africa for the duration of the fellowship. The fellow will be responsible for their living arrangements and visa application if needed. Candidates who are immediately able to come to Cape Town are encouraged to apply. Start date Immediately, in-person in Cape Town Applications must include A complete CV, Proof of Ph. D. completion, A covering letter detailing the candidate’s experience (especially in deep learning for computer vision or audio), availability to start, and explain your interest in machine learning for bioacoustics. Propose a tentative research project related to this call, and how you would address the research question. Cover letters should be aligned with the research group’s interest. Send your application as a single PDF file to Only shortlisted candidates will be contacted for an online interview. Contact Dr. Emmanuel Dufourq ( ) for details regarding this position. Women are strongly encouraged to apply. Applications will be reviewed as soon as they are received (first come first served basis). DISCLAIMER: AIMS South Africa reserves the right to disqualify ineligible, incomplete and/or inappropriate applications. AIMS also reserves the right not to make an appointment to the position as advertised or to extend the deadline for applications. #J-18808-Ljbffr

Join AIMS South Africa, and work on deep learning for bioacoustics research! This is an in-person postdoc fellowship. If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! AIMS South Africa in Cape Town, a few meters from the beach! ?Application deadline: applications will be reviewed as they are receivedStart date: immediate WWF Report & Post-Doctoral Fellowship Opportunity WWF Report on Wildlife Population A recent report issued by theWWF states that there has been a catastrophic decline in wildlife population in recent years. A large number of species are threatened with extinction due to a number of factors. Further conservation efforts are still urgently required to ensure the survival of the remaining individuals. Fellowship Opportunity TheAfrican Institute for Mathematical Sciences (AIMS) andStellenbosch University are looking to appoint a post-doctoral fellow to work in the area of deep learning and bioacoustics. The fellow will work as part of a collaborative team of local and international researchers to address important conservation issues. This fellowship aims at investigating deep learning models for passive acoustic monitoring of animal species. The data will primarily be acoustic data, however additional sources may be used to supplement the investigation. The fellow will research state-of-the-art techniques in deep learning and mathematics to address critical conservation problems. The fellow will develop software code for audio processing, and suitable deep neural networks, typically in Tensor Flow or other libraries. Research outputs will be submitted to Q1 ranked international journals. The fellow will work closely withDr. Emmanuel Dufourq and theMachine Learning for Ecology Research Group . The fellow will work at AIMS South Africa which is located in the beautiful city of Muizenberg, Cape Town, South Africa. AIMS is located just a few meters from Muizenberg beach! The fellow will also have the opportunity to travel to Rwanda and contribute to AIMS Rwanda. Core Responsibilities Participate fully in the project including research design, literature review, software and model implementation, data analysis, data annotation, writing manuscripts, and giving academic talks. Maintain research code in a Git Hub repository and use current programming practices. Actively participate in research meetings and take initiative to grow the group’s collaborative network. Co-supervise students in the area of deep learning for wildlife monitoring. Assist the research group in research and academic tasks. 40 hours of research work per week. Requirements Ph. D. in a relevant mathematical science (e.g. computer science, mathematics, …). Strong experience in deep learning (Tensor Flow, Py Torch,…) and Python programming. Clear evidence of completed deep learning projects in computer vision or audio tasks. Good mathematical and problem solving skills as the candidate will actively engage in this. A strong desire to apply machine learning to bioacoustics problems. Proven ability to publish in reputable peer-reviewed journals (Q1 or Q2 ranked, check ranking here). Strong communication skills (English written, oral, and presentation). If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! If you love to code and chat about research, then you’ll have a great time! The award is compliant with the SARS rules for tax exemption and is tenable for two years, subject to submission of a satisfactory progress report and the availability of funds. Tax is not paid on this funding, and thus the candidate would have full access to the funds. Note that this is not a remote position, and the fellow will have to be present at AIMS South Africa for the duration of the fellowship. The fellow will be responsible for their living arrangements and visa application if needed. Candidates who are immediately able to come to Cape Town are encouraged to apply. Start date Immediately, in-person in Cape Town Applications must include A complete CV, Proof of Ph. D. completion, A covering letter detailing the candidate’s experience (especially in deep learning for computer vision or audio), availability to start, and explain your interest in machine learning for bioacoustics. Propose a tentative research project related to this call, and how you would address the research question. Cover letters should be aligned with the research group’s interest. Send your application as a single PDF file to Only shortlisted candidates will be contacted for an online interview. Contact Dr. Emmanuel Dufourq ( ) for details regarding this position. Women are strongly encouraged to apply. Applications will be reviewed as soon as they are received (first come first served basis). DISCLAIMER: AIMS South Africa reserves the right to disqualify ineligible, incomplete and/or inappropriate applications. AIMS also reserves the right not to make an appointment to the position as advertised or to extend the deadline for applications. #J-18808-Ljbffr

Join to apply for the Head of AI Innovation and Development role at Equals Five

Join to apply for the Head of AI Innovation and Development role at Equals Five

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Please read the full job ad and consider the remuneration that is being offered for this role before applying.

Job Title: Head of AI Innovation and Development

Reports to: Managing Director

Type: Full Time Contract Role

Package: OTE R1,220,000 pa

Role Summary - Head of AI Innovation and Development (Marketing Focused)

We are seeking a forward thinking, commercially astute Head of AI Innovation and Development to lead the integration of AI capabilities across our marketing services business. This role will be pivotal in shaping and delivering our AI vision, driving innovation in client campaigns, internal operations and service offerings. You will combine strategic insight, deep AI knowledge and hands on execution to future proof the business and deliver measurable impact for our clients.

Key Responsibilities

Strategic Leadership

• Define and own the business’s AI innovation strategy, aligning it with commercial growth, client success and operational efficiency.
• Identify emerging AI trends, technologies and tools relevant to marketing and translate them into actionable roadmaps.
• Act as a thought leader internally and externally, helping position the business as a pioneer in AI led marketing innovation.
• Develop and deploy AI enhanced strategies across performance marketing, content creation, SEO, CRM and customer journey personalisation.
• Collaborate with strategy, creative, media and data teams to integrate AI into client solutions, from predictive analytics and conversational AI to generative content and intelligent automation.
• Support the development of new data products and AI powered services for clients.

AI Solution Development

• Lead the end to end design and delivery of AI powered tools, models and applications tailored to client and business needs.
• Translate marketing use cases into technical requirements and collaborate with internal and external developers, data scientists and product managers to bring solutions to life.
• Oversee the development and integration of solutions such as:
• Intelligent content generators and optimisation engines
• Predictive lead scoring and customer segmentation models
• AI powered dashboards, recommendation engines and campaign automation tools
• Conversational AI platforms, including chatbots and virtual assistants
• Ensure AI solutions are scalable, robust and aligned with ethical, legal and commercial standards.
• Maintain an active development pipeline and roadmap of AI prototypes, pilots and launches.

Innovation and Transformation

• Champion internal transformation through AI to enhance campaign optimisation, client reporting and operational efficiency.
• Build business cases for AI investments, tools, partnerships and platforms.
• Foster a test and learn culture to rapidly prototype and scale new ideas.

Client Engagement and Commercial Impact

• Partner with senior account leads and client stakeholders to co create AI strategies and deliver value driven innovation.
• Support pitches, proposals and presentations by showcasing the role of AI in solving business and marketing challenges.
• Track ROI and performance impact of AI initiatives for clients and the business.

Governance and Risk Management

• Ensure all AI use aligns with ethical standards, data protection regulations and IP considerations.
• Set internal guidelines for responsible AI usage, including transparency, human oversight and model bias mitigation.
• Oversee governance frameworks for AI experimentation, vendor management and third party APIs.

Team Leadership and Capability Building

• Lead and mentor a cross functional team of data scientists, AI specialists, strategists and technologists.
• Drive internal training and AI literacy programmes across departments to raise understanding and adoption.
• Cultivate a culture of experimentation, learning and agile innovation.

Required Skills and Experience

• Proven experience in a strategic leadership role related to AI, innovation or digital transformation within a marketing services business, consultancy or technology led organisation.
• Strong understanding of AI technologies including generative AI, machine learning, NLP, LLMs and automation platforms in a marketing context.
• Hands on experience in delivering AI solutions from ideation through development to deployment and evaluation.
• Ability to connect business problems with data and AI capabilities to design commercially viable products or tools.
• Excellent communication, stakeholder engagement and client presentation skills.
• Comfortable leading multidisciplinary teams and managing change across creative and technical environments.
• Familiarity with martech stacks, including CRM, CDP, CMS, DAM, marketing automation and analytics platforms.
• Experience working with platforms such as OpenAI, Google Cloud AI, AWS ML or Azure AI.
• Knowledge of data governance, AI regulation and responsible AI frameworks such as GDPR or the EU AI Act.
• A network of AI vendors, startups and ecosystem partners.

Why Join Us?

This is a high impact, high visibility role in an ambitious marketing services business that values innovation, creativity and strategic thinking. You will help redefine what marketing looks like in the age of AI, working with leading brands and brilliant teams, and shaping the future of the business itself.

Package

We offer a highly competitive package that reflects the seniority and strategic importance of this role. This includes:

• Base salary in line with market benchmarks – R70,000 - R80,000 per month, based upon experience (Up to R960,000 pa)
• Performance based bonus linked to business and innovation outcomes – R200,000 per annum performance bonus
• Flexible working arrangements including hybrid or remote working
• Generous holiday allowance and additional leave options – 15 Days Paid Holiday + 8 UK Bank Holidays, 23 Days in total
• Continuous learning and professional development budget
• Access to cutting edge AI tools, platforms and innovation labs

How to Apply

If you are interested in applying for this role then can you please complete the following online questionnaire -

Thereafter, any suitable candidates will be invited to interview for role.

If you don't hear from us within two weeks of completing our online questionnaire then unfortunately you haven't been successful in this instance, and we wish you the very best in your future job search.

Please note: Initially, this is a part-time contract position that could evolve into a full-time contract role for the right candidate.

Join us at Equals Five and be part of a team that values innovation, creativity, and excellence!

Equal Five is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Please, no agencies.

Seniority level

• Seniority level Director

Employment type

• Employment type Contract

Job function

• Job function Strategy/Planning and Marketing
• Industries Software Development, IT System Custom Software Development, and Marketing Services

Referrals increase your chances of interviewing at Equals Five by 2x

Sign in to set job alerts for “Head of Artificial Intelligence” roles.

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Join to apply for the Head of AI Innovation and Development role at Equals Five Join to apply for the Head of AI Innovation and Development role at Equals Five Get AI-powered advice on this job and more exclusive features. Please read the full job ad and consider the remuneration that is being offered for this role before applying. Job Title: Head of AI Innovation and Development Reports to: Managing Director Type: Full Time Contract Role Package: OTE R1,220,000 pa Role Summary - Head of AI Innovation and Development (Marketing Focused) We are seeking a forward thinking, commercially astute Head of AI Innovation and Development to lead the integration of AI capabilities across our marketing services business. This role will be pivotal in shaping and delivering our AI vision, driving innovation in client campaigns, internal operations and service offerings. You will combine strategic insight, deep AI knowledge and hands on execution to future proof the business and deliver measurable impact for our clients. Key Responsibilities Strategic Leadership Define and own the business’s AI innovation strategy, aligning it with commercial growth, client success and operational efficiency. Identify emerging AI trends, technologies and tools relevant to marketing and translate them into actionable roadmaps. Act as a thought leader internally and externally, helping position the business as a pioneer in AI led marketing innovation. Develop and deploy AI enhanced strategies across performance marketing, content creation, SEO, CRM and customer journey personalisation. Collaborate with strategy, creative, media and data teams to integrate AI into client solutions, from predictive analytics and conversational AI to generative content and intelligent automation. Support the development of new data products and AI powered services for clients. AI Solution Development Lead the end to end design and delivery of AI powered tools, models and applications tailored to client and business needs. Translate marketing use cases into technical requirements and collaborate with internal and external developers, data scientists and product managers to bring solutions to life. Oversee the development and integration of solutions such as: Intelligent content generators and optimisation engines Predictive lead scoring and customer segmentation models AI powered dashboards, recommendation engines and campaign automation tools Conversational AI platforms, including chatbots and virtual assistants Ensure AI solutions are scalable, robust and aligned with ethical, legal and commercial standards. Maintain an active development pipeline and roadmap of AI prototypes, pilots and launches. Innovation and Transformation Champion internal transformation through AI to enhance campaign optimisation, client reporting and operational efficiency. Build business cases for AI investments, tools, partnerships and platforms. Foster a test and learn culture to rapidly prototype and scale new ideas. Client Engagement and Commercial Impact Partner with senior account leads and client stakeholders to co create AI strategies and deliver value driven innovation. Support pitches, proposals and presentations by showcasing the role of AI in solving business and marketing challenges. Track ROI and performance impact of AI initiatives for clients and the business. Governance and Risk Management Ensure all AI use aligns with ethical standards, data protection regulations and IP considerations. Set internal guidelines for responsible AI usage, including transparency, human oversight and model bias mitigation. Oversee governance frameworks for AI experimentation, vendor management and third party APIs. Team Leadership and Capability Building Lead and mentor a cross functional team of data scientists, AI specialists, strategists and technologists. Drive internal training and AI literacy programmes across departments to raise understanding and adoption. Cultivate a culture of experimentation, learning and agile innovation. Required Skills and Experience Proven experience in a strategic leadership role related to AI, innovation or digital transformation within a marketing services business, consultancy or technology led organisation. Strong understanding of AI technologies including generative AI, machine learning, NLP, LLMs and automation platforms in a marketing context. Hands on experience in delivering AI solutions from ideation through development to deployment and evaluation. Ability to connect business problems with data and AI capabilities to design commercially viable products or tools. Excellent communication, stakeholder engagement and client presentation skills. Comfortable leading multidisciplinary teams and managing change across creative and technical environments. Familiarity with martech stacks, including CRM, CDP, CMS, DAM, marketing automation and analytics platforms. Experience working with platforms such as Open AI, Google Cloud AI, AWS ML or Azure AI. Knowledge of data governance, AI regulation and responsible AI frameworks such as GDPR or the EU AI Act. A network of AI vendors, startups and ecosystem partners. Why Join Us? This is a high impact, high visibility role in an ambitious marketing services business that values innovation, creativity and strategic thinking. You will help redefine what marketing looks like in the age of AI, working with leading brands and brilliant teams, and shaping the future of the business itself. Package We offer a highly competitive package that reflects the seniority and strategic importance of this role. This includes: Base salary in line with market benchmarks – R70,000 - R80,000 per month, based upon experience (Up to R960,000 pa) Performance based bonus linked to business and innovation outcomes – R200,000 per annum performance bonus Flexible working arrangements including hybrid or remote working Generous holiday allowance and additional leave options – 15 Days Paid Holiday + 8 UK Bank Holidays, 23 Days in total Continuous learning and professional development budget Access to cutting edge AI tools, platforms and innovation labs How to Apply If you are interested in applying for this role then can you please complete the following online questionnaire - Thereafter, any suitable candidates will be invited to interview for role. If you don't hear from us within two weeks of completing our online questionnaire then unfortunately you haven't been successful in this instance, and we wish you the very best in your future job search. Please note: Initially, this is a part-time contract position that could evolve into a full-time contract role for the right candidate. Join us at Equals Five and be part of a team that values innovation, creativity, and excellence! Equal Five is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Please, no agencies. Seniority level Seniority level Director Employment type Employment type Contract Job function Job function Strategy/Planning and Marketing Industries Software Development, IT System Custom Software Development, and Marketing Services Referrals increase your chances of interviewing at Equals Five by 2x Sign in to set job alerts for “Head of Artificial Intelligence” roles. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Join to apply for the Head of AI Innovation and Development role at Equals Five Join to apply for the Head of AI Innovation and Development role at Equals Five Get AI-powered advice on this job and more exclusive features. Please read the full job ad and consider the remuneration that is being offered for this role before applying. Job Title: Head of AI Innovation and Development Reports to: Managing Director Type: Full Time Contract Role Package: OTE R1,220,000 pa Role Summary - Head of AI Innovation and Development (Marketing Focused) We are seeking a forward thinking, commercially astute Head of AI Innovation and Development to lead the integration of AI capabilities across our marketing services business. This role will be pivotal in shaping and delivering our AI vision, driving innovation in client campaigns, internal operations and service offerings. You will combine strategic insight, deep AI knowledge and hands on execution to future proof the business and deliver measurable impact for our clients. Key Responsibilities Strategic Leadership Define and own the business’s AI innovation strategy, aligning it with commercial growth, client success and operational efficiency. Identify emerging AI trends, technologies and tools relevant to marketing and translate them into actionable roadmaps. Act as a thought leader internally and externally, helping position the business as a pioneer in AI led marketing innovation. Develop and deploy AI enhanced strategies across performance marketing, content creation, SEO, CRM and customer journey personalisation. Collaborate with strategy, creative, media and data teams to integrate AI into client solutions, from predictive analytics and conversational AI to generative content and intelligent automation. Support the development of new data products and AI powered services for clients. AI Solution Development Lead the end to end design and delivery of AI powered tools, models and applications tailored to client and business needs. Translate marketing use cases into technical requirements and collaborate with internal and external developers, data scientists and product managers to bring solutions to life. Oversee the development and integration of solutions such as: Intelligent content generators and optimisation engines Predictive lead scoring and customer segmentation models AI powered dashboards, recommendation engines and campaign automation tools Conversational AI platforms, including chatbots and virtual assistants Ensure AI solutions are scalable, robust and aligned with ethical, legal and commercial standards. Maintain an active development pipeline and roadmap of AI prototypes, pilots and launches. Innovation and Transformation Champion internal transformation through AI to enhance campaign optimisation, client reporting and operational efficiency. Build business cases for AI investments, tools, partnerships and platforms. Foster a test and learn culture to rapidly prototype and scale new ideas. Client Engagement and Commercial Impact Partner with senior account leads and client stakeholders to co create AI strategies and deliver value driven innovation. Support pitches, proposals and presentations by showcasing the role of AI in solving business and marketing challenges. Track ROI and performance impact of AI initiatives for clients and the business. Governance and Risk Management Ensure all AI use aligns with ethical standards, data protection regulations and IP considerations. Set internal guidelines for responsible AI usage, including transparency, human oversight and model bias mitigation. Oversee governance frameworks for AI experimentation, vendor management and third party APIs. Team Leadership and Capability Building Lead and mentor a cross functional team of data scientists, AI specialists, strategists and technologists. Drive internal training and AI literacy programmes across departments to raise understanding and adoption. Cultivate a culture of experimentation, learning and agile innovation. Required Skills and Experience Proven experience in a strategic leadership role related to AI, innovation or digital transformation within a marketing services business, consultancy or technology led organisation. Strong understanding of AI technologies including generative AI, machine learning, NLP, LLMs and automation platforms in a marketing context. Hands on experience in delivering AI solutions from ideation through development to deployment and evaluation. Ability to connect business problems with data and AI capabilities to design commercially viable products or tools. Excellent communication, stakeholder engagement and client presentation skills. Comfortable leading multidisciplinary teams and managing change across creative and technical environments. Familiarity with martech stacks, including CRM, CDP, CMS, DAM, marketing automation and analytics platforms. Experience working with platforms such as Open AI, Google Cloud AI, AWS ML or Azure AI. Knowledge of data governance, AI regulation and responsible AI frameworks such as GDPR or the EU AI Act. A network of AI vendors, startups and ecosystem partners. Why Join Us? This is a high impact, high visibility role in an ambitious marketing services business that values innovation, creativity and strategic thinking. You will help redefine what marketing looks like in the age of AI, working with leading brands and brilliant teams, and shaping the future of the business itself. Package We offer a highly competitive package that reflects the seniority and strategic importance of this role. This includes: Base salary in line with market benchmarks – R70,000 - R80,000 per month, based upon experience (Up to R960,000 pa) Performance based bonus linked to business and innovation outcomes – R200,000 per annum performance bonus Flexible working arrangements including hybrid or remote working Generous holiday allowance and additional leave options – 15 Days Paid Holiday + 8 UK Bank Holidays, 23 Days in total Continuous learning and professional development budget Access to cutting edge AI tools, platforms and innovation labs How to Apply If you are interested in applying for this role then can you please complete the following online questionnaire - Thereafter, any suitable candidates will be invited to interview for role. If you don't hear from us within two weeks of completing our online questionnaire then unfortunately you haven't been successful in this instance, and we wish you the very best in your future job search. Please note: Initially, this is a part-time contract position that could evolve into a full-time contract role for the right candidate. Join us at Equals Five and be part of a team that values innovation, creativity, and excellence! Equal Five is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Please, no agencies. Seniority level Seniority level Director Employment type Employment type Contract Job function Job function Strategy/Planning and Marketing Industries Software Development, IT System Custom Software Development, and Marketing Services Referrals increase your chances of interviewing at Equals Five by 2x Sign in to set job alerts for “Head of Artificial Intelligence” roles. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr