ACADEMIC POSITIONS - DATA SCIENCE AND ARTIFICIAL INTELLIGENCE Durban

Durban University of Technology is actively recruiting for a ACADEMIC POSITIONS - DATA SCIENCE AND ARTIFICIAL INTELLIGENCE position in Durban. This is an excellent opportunity for professionals in the Education / Teaching sector looking to advance their careers.

• Experience Level: Not Specified • Educational Background: Others or equivalent • Industry Focus: Education / Teaching • Location Preference: in Durban

Educators in ACADEMIC POSITIONS - DATA SCIENCE AND ARTIFICIAL INTELLIGENCE positions shape future generations. This role is fundamental to South Africa's educational development and social progress.

This role in Education / Teaching offers valuable career progression opportunities aligned with your experience level and professional aspirations.

When applying for this ACADEMIC POSITIONS - DATA SCIENCE AND ARTIFICIAL INTELLIGENCE position, ensure your CV highlights: • Relevant experience matching the Not Specified requirement • Educational qualifications in line with Others • Specific achievements in the Education / Teaching field • Any certifications or specialized training

The Education / Teaching sector in South Africa continues to show strong demand for skilled professionals. This position represents a valuable opportunity in the current job market.

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Salary: Market Related Job Type: Permanent Sectors: Education Reference: 201617 Job Type: Permanent Sectors: Education Reference: 201617 Sectors: Education Reference: 201617 Reference: 201617

Employer: Durban University of Technology

INSTITUTE FOR DATA SCIENCE AND ARTIFICIAL INTELLIGENCESIX PERMANENT ACADEMIC POSITIONS INTERNAL AND EXTERNAL ADVERTISEMENTACADEMIC POSITIONSDUT INSTITUTE FOR DATA SCIENCE AND ARTIFICIAL INTELLIGENCE(2 × Professors / 2 × Associate Professors / 2 × Senior Lecturers) With more than 34 400 students and approximately 1 700 members of staff, the Durban University of Technology (DUT) is a leading university of technology located in Durban and Pietermaritzburg on the east coast of South Africa. Founded in April 2002 through the merger of the former ML Sultan Technikon and Technikon Natal, DUT is a modern, metropolitan, multi-campus university with roots extending to 1907. DUT is recognised nationally and internationally for teaching and learning, research, innovation, entrepreneurship and engagement. Its Philosophy of Education—‘Our creativity and innovation shapes adaptive graduates who transform society’—reflects a commitment to meaningful societal transformation. Guided by ENVISION2030, DUT’s DNA is ‘people-centred and engaged’ and ‘innovative and entrepreneurial’, with an institutional purpose centred on improving lives and livelihoods. The Institute for Data Science and Artificial Intelligence is being established as a horizontal research capability across DUT. It will advance rigorous, locally grounded and trustworthy data science and AI; develop scarce postgraduate capability; build African datasets and methods; and work with faculties, research institutes, government, communities and industry to generate scientific, societal and economic value. It is a research institute—not DUT’s general software-development or ICT operations office. The Institute research agendaThe three foundational priority themes for the institute are:●       African Data, Language and Knowledge Intelligence●       Trustworthy, Responsible and Human-Centred AI●       AI for Sustainable Systems and Public ValueAppointment note. Applicants should apply for the position whose stated specialisation most closely matches their research record. Cross-theme collaboration is expected, but shortlisting will assess the specific expertise required for the advertised position. Position 1Professor: African-Language AI, Natural-Language Processing and Speech TechnologiesTheme 1: African Data, Language and Knowledge IntelligenceReference Number: 30002782Status of Position: PermanentCampus: Durban University of Technology; multi-campus and partner-facing responsibilities as requiredPosition purposeThe Professor will establish and lead a focused research programme in African-language AI, natural-language processing and speech technologies. The appointee will work within Theme 1: African Data, Language and Knowledge Intelligence and collaborate across the Institute's data, responsible-AI and public-value platforms. The post requires disciplinary depth, interdisciplinary judgement and an ability to produce research that is scientifically rigorous, contextually valid and responsibly translated. Minimum requirements●       A doctoral degree (NQF 10) in either Computer Science, Artificial Intelligence, Data Science, Computational Linguistics, Electrical/Electronic or Computer or Communication or Information Engineering, or a closely related qualification to the theme.●       A strong record of research and/or academic leadership in African-Language AI, natural-language processing and speech technologies.●       Substantial and sustained period of distinguished academic experience in research and/or professional experience in higher education or a research environment with recognised standing in the field.●       A minimum of ten (10) DHET-accredited research outputs/creative outputs over the preceding three years, relevant to the discipline, with evidence of research quality and impact.●       Evidence of substantial record of successful supervision to completion of Master's and Doctoral students.●       Demonstrated success in securing competitive research funding (i.e. grants, contracts or commissioned research).●       Evidence of leading multidisciplinary teams and building national/international research collaborations. Theme-specific expertiseAfrican-language NLP and speech: isiZulu and other African-language text, speech recognition and synthesis, translation, code-switching, dialect variation and culturally grounded evaluation; Low-resource and multilingual machine learning: transfer, self-supervised, few-shot, active and multimodal learning under limited labelled data and compute; Language and knowledge intelligence: knowledge graphs, information retrieval, foundation-model adaptation, multimodal archives and community- or institutionally grounded knowledge systems; Benchmark and corpus leadership: ethically governed datasets, transparent annotation protocols, benchmark tasks and reproducible evaluation for African languages. Key responsibilities●       Develop and sustain an internationally visible programme of research aligned to the assigned Institute theme and the Institute's five-year research agenda.●       Produce high-quality peer-reviewed outputs, research software, datasets, methods, policy contributions and/or responsible innovation outputs, as appropriate to the field.●       Attract competitive external research funding and develop accountable partnerships with African and international universities, government, industry, civil society and communities.●       Supervise and develop Master's and Doctoral candidates and mentor postdoctoral fellows and emerging researchers.●       Contribute to interdisciplinary research methods training, postgraduate seminars and selected teaching or curriculum development in relevant DUT academic programmes, as agreed with the Institute's Director and participating faculties.●       Apply rigorous research ethics, privacy, security, data governance, reproducibility, model documentation and responsible-AI requirements throughout the research lifecycle.●       Participate in Institute planning, project stage gates, peer review, reporting, community or industry engagement, and the translation of validated research into public, policy, professional or commercial value. Ideal / additional recommendations●       An NRF rating or equivalent recognised international research standing.●       A record of building interdisciplinary research platforms, laboratories, datasets or research software with sustainable governance.●       The candidate's qualifications, publications, supervision record and current research programme must demonstrate substantive alignment with the advertised specialisation; incidental use of data analysis or generic AI tools will not, on its own, constitute sufficient alignment.●       Provide intellectual leadership for the Institute's African-language AI portfolio and help establish the KwaZulu-Natal Data and Language Commons.●       Build sustained collaboration with language scholars, communities, public institutions and technology partners so that datasets and systems reflect linguistic meaning, consent, provenance and benefit.●       Lead internationally competitive grants and postgraduate programmes that generate both fundamental methodological advances and practical language technologies.  Position 2Professor: Trustworthy AI Assurance, Robustness, Privacy and SecurityTheme 2: Trustworthy, Responsible and Human-Centred AIReference Number: 30002784Status of Position: PermanentCampus: Durban University of Technology; multi-campus and partner-facing responsibilities as requiredPosition purposeThe Professor will establish and lead a focused research programme in Trustworthy AI assurance, robustness, privacy and security. The appointee will work within Theme 2: Trustworthy, Responsible and Human-Centred AI and collaborate across the Institute's data, responsible-AI and public-value platforms. The post requires disciplinary depth, interdisciplinary judgement and an ability to produce research that is scientifically rigorous, contextually valid and responsibly translated. Minimum requirements●       A doctoral degree (NQF 10) in either Computer Science, Artificial Intelligence, Data Science/Statistics, Cybersecurity, Information Systems, Applied Mathematics, Electrical/Electronic or Computer or Information Engineering or a closely related qualification to the theme.●       A strong record of research and/or academic leadership with demonstrated leadership in trustworthy AI assurance, robustness, privacy and security.●       Substantial and sustained period of distinguished academic experience in research and/or professional experience in higher education or a research environment with recognised standing in the field.●       A minimum of ten (10) DHET-accredited research outputs/creative outputs over the preceding three years, relevant to the discipline, with evidence of research quality and impact.●       Evidence of substantial record of successful supervision to completion of Master's and Doctoral students.●       Demonstrated success in securing competitive research funding (i.e. grants, contracts or commissioned research).●       Evidence of leading multidisciplinary teams and building national/international research collaborations. Theme-specific expertiseAI assurance and evaluation: model validation, calibration, uncertainty, subgroup performance, auditability and lifecycle evidence; Robustness, safety and security: distribution shift, adversarial machine learning, red-teaming, secure MLOps, model misuse and incident learning; Privacy-enhancing AI: federated learning, differential privacy, synthetic data, secure computation, de-identification and disclosure-risk assessment; Responsible generative and agentic AI: methods for mitigation of hallucination, deepfakes and institutional risks, control, provenance, copyright protection and responsible AI assurance metrics. Key responsibilities●       Develop and sustain an internationally visible programme of research aligned to the assigned Institute theme and the Institute's five-year research agenda.●       Produce high-quality peer-reviewed outputs, research software, datasets, methods, policy contributions and/or responsible innovation outputs, as appropriate to the field.●       Attract competitive external research funding and develop accountable partnerships with African and international universities, government, industry, civil society and communities.●       Supervise and develop Master's and Doctoral candidates and mentor postdoctoral fellows and emerging researchers.●       Contribute to interdisciplinary research methods training, postgraduate seminars and selected teaching or curriculum development in relevant DUT academic programmes, as agreed with the Institute's Director and participating faculties.●       Apply rigorous research ethics, privacy, security, data governance, reproducibility, model documentation and responsible-AI requirements throughout the research lifecycle.●       Participate in Institute planning, project stage gates, peer review, reporting, community or industry engagement, and the translation of validated research into public, policy, professional or commercial value. Ideal / additional recommendations●       An NRF rating or equivalent recognised international research standing.●       A record of building interdisciplinary research platforms, laboratories, datasets or research software with sustainable governance.●       The candidate's qualifications, publications, supervision record and current research programme must demonstrate substantive alignment with the advertised specialisation; incidental use of data analysis or generic AI tools will not, on its own, constitute sufficient alignment.●       Provide intellectual leadership for the DUT Responsible AI Assurance Lab and develop rigorous, field-tested assurance methods.●       Establish evaluation protocols that integrate technical, ethical, legal, social and environmental criteria without reducing responsible AI to compliance paperwork.●       Lead major partnerships and grants in trustworthy AI, cybersecurity, privacy and high-risk AI evaluation, including independent or comparative studies.  Position 3Associate Professor: African Data Engineering, Governance and Privacy-Preserving Data ScienceTheme 1: African Data, Language and Knowledge IntelligenceReference Number: 30002785Status of Position: PermanentCampus: Durban University of Technology; multi-campus and partner-facing responsibilities as requiredPosition purposeThe Associate Professor will establish and lead a focused research programme in African data engineering, governance and privacy-preserving data science. The appointee will work within Theme 1: African Data, Language and Knowledge Intelligence and collaborate across the Institute's data, responsible-AI and public-value platforms. The post requires disciplinary depth, interdisciplinary judgement and an ability to produce research that is scientifically rigorous, contextually valid and responsibly translated. Minimum requirements●       A doctoral degree (NQF 10) in Data Science, Computer Science, Informatics, Information Systems, Computer or Information or Communication Engineering, or a closely related qualification to the theme.●       A good record of research and/or academic leadership with demonstrated leadership in African data engineering, governance and privacy-preserving data science.●       A significant period of sustained academic experience in research and/or professional experience in higher education or a research environment.●       A minimum of seven (7) DHET-accredited research outputs/creative outputs over the preceding three years, relevant to the discipline, with evidence of research quality and impact.●       Successful supervision to completion of Master's and Doctoral students.●       Evidence of success in securing competitive research funding (i.e. grants, contracts or commissioned research).●       Evidence of leading multidisciplinary teams and building national/international research collaborationsTheme-specific expertiseData quality and interoperability: provenance, metadata, standards, entity resolution, linkage, missingness, representativeness and reproducible pipelines; African data governance and sovereignty: lawful basis, custodianship, consent, benefit sharing, access tiers, licensing and cross-border data stewardship; Privacy-preserving analytics: federated analysis, synthetic data, de-identification, secure research environments and disclosure-risk measurement; Multimodal and geospatial data assets: documents, images, audio, sensors and spatial data with transparent documentation and meaningful domain annotation. Key responsibilities●       Develop and sustain an internationally visible programme of research aligned to the assigned Institute theme and the Institute's five-year research agenda.●       Produce high-quality peer-reviewed outputs, research software, datasets, methods, policy contributions and/or responsible innovation outputs, as appropriate to the field.●       Attract competitive external research funding and develop accountable partnerships with African and international universities, government, industry, civil society and communities.●       Supervise and develop Master's and Doctoral candidates and mentor postdoctoral fellows and emerging researchers.●       Contribute to interdisciplinary research methods training, postgraduate seminars and selected teaching or curriculum development in relevant DUT academic programmes, as agreed with the Institute's Director and participating faculties.●       Apply rigorous research ethics, privacy, security, data governance, reproducibility, model documentation and responsible-AI requirements throughout the research lifecycle.●       Participate in Institute planning, project stage gates, peer review, reporting, community or industry engagement, and the translation of validated research into public, policy, professional or commercial value. Ideal / additional recommendations●       An NRF rating or demonstrable trajectory towards recognised research standing.●       Experience leading a work package, laboratory, research group or multi-partner project.●       Evidence of research translation into datasets, software, policy, standards, professional practice, public value or responsible commercialisation.●       Co-lead the KwaZulu-Natal Data and Language Commons, focusing on research-grade data architecture, stewardship and access.●       Develop methods for usable, representative and responsibly governed data under fragmented records, limited infrastructure and unequal digital access.●       Support Institute-wide data standards, reproducibility, secure research workspaces and postgraduate training in data engineering and governance.  Position 4Associate Professor: AI for Sustainable Cities, Infrastructure, Climate, Water and EnergyTheme 3: AI for Sustainable Systems and Public ValueReference Number: 30002786Status of Position: PermanentCampus: Durban University of Technology; multi-campus and partner-facing responsibilities as requiredPosition purposeThe Associate Professor will establish and lead a focused research programme in AI for sustainable cities, infrastructure, climate, water and energy. The appointee will work within Theme 3: AI For Sustainable Systems and Public Value and collaborate across the Institute's data, responsible-AI and public-value platforms. The post requires disciplinary depth, interdisciplinary judgement and an ability to produce research that is scientifically rigorous, contextually valid and responsibly translated. Minimum requirements●       A doctoral degree (NQF 10) in either Data Science, Artificial Intelligence, Computer Science, Civil or Electrical/Electronic or Mechanical or Industrial Engineering, Geomatics, Environmental Science, Applied Mathematics, or a closely related qualification to the theme.●       A good record of research and/or academic leadership in AI for sustainable cities, infrastructure, climate, water and energy.●       A significant period of sustained academic experience in research and/or professional experience in higher education or a research environment.●       A minimum of seven (7) DHET-accredited research outputs/creative outputs over the preceding three years, relevant to the discipline, with evidence of research quality and impact.●       Successful supervision to completion of Master's and Doctoral students.●       Evidence of success in securing competitive research funding (i.e. grants, contracts or commissioned research).●       Evidence of leading multidisciplinary teams and building national/international research collaborations. Theme-specific expertiseSmart and resilient systems: IoT, edge AI, digital twins, geospatial intelligence and low-connectivity reference architectures; Infrastructure and mobility: predictive maintenance, transport, ports, logistics, asset management and service-delivery analytics; Climate, water and energy intelligence: earth observation, forecasting, anomaly detection, optimisation, early warning and resource stewardship; Implementation and public value: baseline design, adoption, workflow, lifecycle cost, equity, unintended effects and accountable transfer to operational owners. Key responsibilities●       Develop and sustain an internationally visible programme of research aligned to the assigned Institute theme and the Institute's five-year research agenda.●       Produce high-quality peer-reviewed outputs, research software, datasets, methods, policy contributions and/or responsible innovation outputs, as appropriate to the field.●       Attract competitive external research funding and develop accountable partnerships with African and international universities, government, industry, civil society and communities.●       Supervise and develop Master's and Doctoral candidates and mentor postdoctoral fellows and emerging researchers.●       Contribute to interdisciplinary research methods training, postgraduate seminars and selected teaching or curriculum development in relevant DUT academic programmes, as agreed with the Institute Director and participating faculties.●       Apply rigorous research ethics, privacy, security, data governance, reproducibility, model documentation and responsible-AI requirements throughout the research lifecycle.●       Participate in Institute planning, project stage gates, peer review, reporting, community or industry engagement, and the translation of validated research into public, policy, professional or commercial value. Ideal / additional recommendations●       An NRF rating or demonstrable trajectory towards recognised research standing.●       Experience leading a work package, laboratory, research group or multi-partner project.●       Evidence of research translation into datasets, software, policy, standards, professional practice, public value or responsible commercialisation.●       Build interdisciplinary programmes with the Urban Planning and Smart Cities Institute, Water and Wastewater Technology Institute, engineering and applied-science disciplines, municipalities and industry.●       Lead transferable methodological research rather than isolated application prototypes, with robust comparison designs and measurable outcomes.●       Develop demonstrators suitable for the KZN AI for Public Value Living Lab and attract funding for resilient infrastructure and sustainable-systems research. Position 5Senior Lecturer: Human-Centred, Explainable and Fair Artificial IntelligenceTheme 2: Trustworthy, Responsible and Human-Centred AIReference Number: 30002787Status of Position: PermanentCampus: Durban University of Technology; multi-campus and partner-facing responsibilities as requiredPosition purposeThe Senior Lecturer will establish and lead a focused research programme in Human-centred, explainable and fair AI. The appointee will work within Theme 2: Trustworthy, Responsible and Human-Centred AI and collaborate across the Institute's data, responsible-AI and public-value platforms. The post requires disciplinary depth, interdisciplinary judgement and an ability to produce research that is scientifically rigorous, contextually valid and responsibly translated. Minimum requirements●       A doctoral degree (NQF 10) in Computer Science, Artificial Intelligence, Data Science, Information Systems, Cognitive Science, Law and Technology, or a closely related qualification to the theme.●       A record of research and/or academic leadership in human-centred, explainable and fair AI.●       An appropriate period of relevant academic experience in research and/or professional experience in higher education or a research environment.●       A minimum of three (3) DHET-accredited research outputs/creative outputs over the preceding three years, relevant to the discipline.●       Evidence of participation in supervision of Master's students.●       Evidence of participation in grants writing.●       Evidence of participation in multidisciplinary teams and research collaborations. Theme-specific expertiseHuman--AI interaction: automation bias, cognitive workload, accessibility, trust calibration, meaningful oversight and contestability; Explainability and uncertainty communication: interpretable models, counterfactuals, causal explanation and communication to technical and non-technical users; Fairness and distributional impact: bias measurement, intersectional evaluation, mitigation trade-offs and the effects of AI on differently situated groups; Participatory and responsible design: co-design with affected users, AI impact assessment, model documentation and comparative human-only, AI-assisted and automated decision studies. Key responsibilities●       Develop and sustain an internationally visible programme of research aligned to the assigned Institute theme and the Institute's five-year research agenda.●       Produce high-quality peer-reviewed outputs, research software, datasets, methods, policy contributions and/or responsible innovation outputs, as appropriate to the field.●       Contribute to the attraction of competitive external research funding and develop accountable partnerships with African and international universities, government, industry, civil society and communities.●       Co-supervise and develop Master's and Doctoral candidates and mentor emerging researchers.●       Contribute to interdisciplinary research methods training, postgraduate seminars and selected teaching or curriculum development in relevant DUT academic programmes, as agreed with the Institute Director and participating faculties.●       Apply rigorous research ethics, privacy, security, data governance, reproducibility, model documentation and responsible-AI requirements throughout the research lifecycle.●       Participate in Institute planning, project stage gates, peer review, reporting, community or industry engagement, and the translation of validated research into public, policy, professional or commercial value. Ideal / additional recommendations●       Evidence of participation in funded interdisciplinary research or applied research partnerships.●       Experience producing reusable datasets, research software, evaluation tools, prototypes, policy or practice outputs.●       A clear plan for developing an externally funded research and postgraduate-supervision portfolio within the Institute.●       Develop an empirical human-centred AI programme linking technical evaluation with user experience, rights and institutional accountability.●       Contribute evaluation tools and protocols to the DUT Responsible AI Assurance Lab.●       Co-lead postgraduate and partner studies in high-stakes settings while ensuring that affected people can understand, question and contest AI-supported decisions. Position 6Senior Lecturer: AI for Health, Education, Public Services and Inclusive ProductivityTheme 3: AI for Sustainable Systems and Public ValueReference Number: 30002788Status of Position: PermanentCampus: Durban University of Technology; multi-campus and partner-facing responsibilities as requiredPosition purposeThe Senior Lecturer will establish and lead a focused research programme in AI for health, education, public services and inclusive productivity. The appointee will work within Theme 3: AI for Sustainable Systems and Public Value and collaborate across the Institute's data, responsible-AI and public-value platforms. The post requires disciplinary depth, interdisciplinary judgement and an ability to produce research that is scientifically rigorous, contextually valid and responsibly translated. Minimum requirements●       A doctoral degree (NQF 10) in Data Science/Statistics, Artificial Intelligence, Computer Science, Health Informatics, Bioinformatics, Biomedical Engineering, Information Systems, Educational Technology, or a closely related qualification to the theme.●       A Record of research and/or academic leadership in AI for health, education, public services and inclusive productivity.●       An appropriate period of relevant academic experience in research and/or professional experience in higher education or a research environment.●       A minimum of three (3) DHET-accredited research outputs/creative outputs over the preceding three years, relevant to the discipline.●       Evidence of participation in supervision of Master's students.●       Evidence of participation in grants writing.●       Evidence of participation in multidisciplinary teams and research collaborations. Theme-specific expertiseHealth and care analytics: risk modelling, imaging, operations, population health and accountable decision support with clinical and health-device partners; Education and learning analytics: student support and AI-enabled education with explicit limits on surveillance and automated judgement; Public-sector analytics: planning, resource allocation, service responsiveness and fraud or risk detection with transparency and appeal mechanisms; Inclusive productivity: manufacturing, supply chains, SMMEs, informal economies and worker-centred augmentation, with implementation and equity evidence. Key responsibilities●       Develop and sustain an internationally visible programme of research aligned to the assigned Institute theme and the Institute's five-year research agenda.●       Produce high-quality peer-reviewed outputs, research software, datasets, methods, policy contributions and/or responsible innovation outputs, as appropriate to the field.●       Contribute to the attraction of competitive external research funding and develop accountable partnerships with African and international universities, government, industry, civil society and communities.●       Co-supervise and develop Master's and Doctoral candidates and mentor emerging researchers.●       Contribute to interdisciplinary research methods training, postgraduate seminars and selected teaching or curriculum development in relevant DUT academic programmes, as agreed with the Institute Director and participating faculties.●       Apply rigorous research ethics, privacy, security, data governance, reproducibility, model documentation and responsible-AI requirements throughout the research lifecycle.●       Participate in Institute planning, project stage gates, peer review, reporting, community or industry engagement, and the translation of validated research into public, policy, professional or commercial value. Ideal / additional recommendations●       Evidence of participation in funded interdisciplinary research or applied research partnerships.●       Experience in contributing to reusable datasets, research software, evaluation tools, prototypes, policy or practice outputs.●       A clear plan for developing an externally funded research and postgraduate-supervision portfolio within the Institute.●       Develop co-led applied research programmes with relevant DUT faculties and institutes, government, communities and industry partners.●       Design prospective validation and implementation studies that distinguish model accuracy from adoption, outcomes and public value.●       Contribute programmes to the KZN AI for Public Value Living Lab and build a strong postgraduate and funded-research pipeline.  Application Information applies to all six positions:Application requirements●       A fully completed prescribed DUT application-for-employment form obtainable from www.dut.ac.za under Quick Links / Careers.●       A detailed curriculum vitae that explicitly demonstrates alignment with the relevant position, priority theme and technical specialisation.●       A covering letter identifying the exact position title and reference number for which the applicant is applying.●       Copies of relevant academic records and qualification certificates, including SAQA evaluation where applicable.●       A copy of the applicant's identity document or passport and current contact information for referees.●       For Professor and Associate Professor positions, a concise research profile indicating DHET-accredited outputs over the preceding three years, citation or other appropriate evidence of quality, completed postgraduate supervisions, grant awards and leadership contributions. Salary: Market related, in accordance with the applicable DUT remuneration frameworkContact Person: Ms. ZJ. NgcoboApplication email / portal: DUT Careers Portal Please noteWhile DUT strives to ensure equal opportunities, preference will be given to suitable candidates in accordance with the University's Diversity, Equity and Inclusion Policy and aligned to its strategic objectives. The Durban University of Technology reserves the right not to make an appointment to any of the advertised positions. Correspondence will be entered into with shortlisted candidates only. Applicants who do not receive communication from the University should consider their applications unsuccessful. Successful candidates will be subject to appropriate background checks, including qualification verification, reference checks and criminal-record screening. The University may require psychometric or other assessments where justified by the requirements of the position. Applicants may be assessed against the full DUT criteria applicable to appointment at Professor, Associate Professor or Senior Lecturer level. Meeting the stated minimum requirements does not guarantee shortlisting. Where a professional registration is legally or professionally required for a candidate's claimed field of practice, proof of current registration m