African University

The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. SIT is expanding its applied AI research capabilities, building a cohort of academic staff who are keen and experienced working on industry problems /across sectors. Focus areas for applied AI include domains such as: Advanced Manufacturing & Semiconductors Urban Systems AI-Augmented Engineering AI Safety & Security Chemical Engineering & Biotechnology Hospitality and Tourism Healthcare Advanced Manufacturing & Semiconductors, Urban Systems, AI-Augmented Engineering, AI Safety & Security, Chemical Engineering & Biotechnology, AI for Healthcare as well as Hospitality & Tourism. SIT’s Innovation-as-a-Service (IaaS) is an open-innovation platform designed to connect industry players, particularly start-ups and SMEs, with the research and technological capabilities of the Singapore Institute of Technology (SIT), local polytechnics, other IHLS and overseas university partners. IaaS Centre of Digital Innovation focusses on assisting company’s to digitalize their operations or prod/ucts and implementing AI solutions using ready AI tools to ensure a fast implementation to market. Key Responsibilities Work closely with centre head, Principal Investigator (PI) and internal/external stakeholders (including other IHLs) to support or drive applied research, and innovation initiatives outcomes. Outcomes include impact or revenue of industry partners Understand industry partners requirements and help create proposals to them. Work with the team to create IP (Intellectual Property) from internal grants to target multiple adopters Job Requirements: A good Bachelor’s degree or Master’s degree in Computer Science, Engineering, or a related discipline, with demonstrated experience in Artificial Intelligence (AI) / Machine Learning (ML) research or application. Strong technical expertise in one or more of the following areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI, Agentic AI, Physical AI, and Embodied AI Trustworthy AI, including explainability, auditability, and privacy Edge AI and model optimisation Physics-informed neural networks (PINNs) and surrogate modelling Time-series modelling and anomaly detection Bayesian methods and uncertainty quantification Graph Neural Networks (GNNs) Spatiotemporal data engineering Digital twins and simulation Demonstrated Applied AI for Healthcare and clinical practice Industry 4.0 and/or Industry 5.0 (added advantage) Experience applying AI to one or more of SIT’s focus areas: Advanced Manufacturing & Semiconductors, Urban Systems, AI-Augmented Engineering, AI Safety & Security, Chemical Engineering & Biotechnology, AI for Healthcare as well as Hospitality & Tourism. Deep technical specialist with 8 or more years of working experience as a Machine Learning Engineer or similar role, with good knowledge of industry practices and technological applications in the field for the senior positions. 1 - 3 years experience will suffice for research engineers. Applicants with skills in Video Analytics, NLP (Natural Language Processing) or any of the following would be preferred: Caffe, Spark ML, Keras, PyTorch, TensorFlow, Scikit- Learn, CNTK. Also Big data technologies such as Apache Hadoop and spark, Devops/MLops. Must have a firm grasp and understanding of data structures, data modeling and software architecture using Python, R, Java and C/C#/C++, as well as competence in mathematics including probability, statistics and algorithms. Keen interest to support research and academic project work, with demonstrated ability in developing software solutions to technical problems. Demonstrate proficiency to keep abreast of developments in the field and pursue professional certification programs. Possession of industrial certifications in relevant areas will be an added advantage. Key Competencies Self-motivated and can work independently or in a team. Enjoy both analytical and hands-on work to solve problems. Able to build and maintain good working relationships with people within and external to the university. Flexibility to work across functions/teams as part of a team in a dynamic environment. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess good analytical and critical thinking skills Shows good initiative and takes ownership of work undertaken Proactive, resourceful, and able to take ownership of assigned responsibilities

Do have a completed, or nearly completed, PhD in Criminology or cognate discipline? Have you got a passion for developing new curricula and research in areas of your expertise? Are you an outstanding scholar and innovative teacher with a focus on socially engaged research? Kōrero mō te tūranga - About the role Te Herenga Waka - Victoria University of Wellington is currently recruiting one Pūkenga - Lecturer and one Pūkenga Matua - Senior Lecturer (equivalent to tenured assistant professor) in Criminology to join Te Kura Mahinga Tangata - School of Social and Cultural Studies on a permanent, full-time basis. These permanent positions represent an exciting opportunity for an outstanding scholar to join the Institute of Criminology. The successful applicant must have a completed (or nearly completed) PhD in Criminology or a cognate discipline. They will demonstrate excellence in teaching, a developing research profile, and commitment to public engagement. Preferred commencement will be in January/February 2027. These roles are based at our Kelburn Campus. Key responsibilities: Contributing to the development and delivery of courses in Criminology. Developing new curricula and research in areas of expertise. Supervising MA and PhD research on a broad range of topics in Criminology. Contributing to hautūtanga/leadership, administrative roles, and engagement with the wider community. Being part of an active, collegial team committed to equity and diversity, and supporting research and teaching that addresses issues relevant to Māori, Pasifika and minority people, and that engages mātauranga Māori and upholds our programme's responsibilities to Te Tiriti o Waitangi. Ō pūmanawa - About you You will be a collaborative scholar-educator, committed to high-quality teaching at undergraduate and postgraduate levels, who is developing an innovative independent research agenda. Key requirements: A completed (or soon to be completed) PhD in Criminology or a cognate discipline. Some experience in teaching at a tertiary level or, in the case of Pūkenga Matua - Senior Lecturer, demonstrated evidence of successful teaching at tertiary level. A developing record or, in the case of Pūkenga Matua - Senior Lecturer, an established record of scholarly research, publications and a research agenda. Strong capacity to work as part of a collegial team. We welcome applications from diverse areas of expertise within Criminology. Applicants should specify in their application which position they are applying for, Pūkenga - Lecturer or Pūkenga Matua - Senior Lecturer. Role Descriptions: Click the below links to see further information, including salary details. Pūkenga - Lecturer Pūkenga Matua - Senior Lecturer If these links are not available, click 'apply' to view them on the University careers page. Close date for vacancy: 03 August 2026. Contact details for vacancy: If you have any questions regarding this role, please get in touch with Associate Professor Lynzi Armstrong (lynzi.armstrong@vuw.ac.nz). How to apply: Please ensure you are applying for this role directly on our careers page and not via email. Candidates must submit supporting documents along with their resume, such as a cover letter. Applicants who do not have residency or citizenship and require a visa to work at the University must clearly indicate their visa status in their application and understand that if they do not have a current, relevant visa, they will need to secure this independently. Mō Te Herenga Waka - About Our University Te Herenga Waka - Victoria University of Wellington is renowned for its high-quality research and exceptional teaching. We attract people from around the world. Our university campus spans Te Whanganui-a-Tara Wellington - the creative, scientific and political centre of Aotearoa New Zealand - and our students thrive on the connections we have made here. Explore the many benefits of working at Te Herenga Waka - Victoria University of Wellington. Find out where you fit in our strategic direction and learn more about our research expertise. Ētahi kōrero hai āwhina i a koe - Why you should join our team Embark on an intellectual adventure at Te Kura Mahinga Tangata - School of Social and Cultural Studies. Here, you'll ignite change with your expertise in Criminology, Sociology, and Anthropology. Be the catalyst in a vibrant community eager to unravel and redefine the social and cultural fabric of our world. Your journey to influence society starts now!

Salary package: $112,550 - $120,621 (ACA A.6-A.8) plus 17% superannuation Appointment Type: Full-time fixed term role until April 2029 (with potential to extend subject to funding) Macquarie University, Wallumattagal Campus, North Ryde The Role We are seeking a highly motivated and collaborative Research Associate with a strong background in mathematics to support research activities within the School of Mathematical and Physical Sciences. The appointee will contribute to the production of high-quality research, journal publications, and professional engagement, while also supporting limited teaching and administrative duties as required. This is a full-time, fixed-term role based at Macquarie University's Wallumattagal Campus in North Ryde, reporting to Prof Xuan Duong. The position supports research of Prof. Duong's ARC Discovery Project with Prof. Michael Cowling, A/Prof. Ji Li and Dr. The Anh Bui. About You You will hold a doctoral qualification in Mathematics and bring a strong track record in research aligned with harmonic analysis and/or partial differential equations. You will demonstrate the ability to work independently, contribute to team-based projects, and guide postgraduate students. You will also be capable of publishing in high-quality academic journals and engaging professionally within the mathematical sciences community. Key Responsibilities Conduct research under limited supervision, either independently or as part of a team. Contribute to journal publications and other academic outputs. Engage in professional activities such as attending conferences and seminars in the field of expertise, subject to funding. Perform limited administrative duties related to research. Make occasional contributions to teaching programs as determined by the requirements of the School. Undertake other duties as directed. About Us Contributing to this vision, the School of Mathematical and Physical Sciences, within the Faculty of Science and Engineering, is a vibrant and multidisciplinary hub of discovery and innovation. We are internationally recognised for excellence in research and teaching across applied and pure mathematics, physics, astronomy, and statistical science. How to Apply To be considered for this position, please apply online and attach your resume and a cover letter (no more than 1 page) outlining your suitability for the role and addressing how you meet the key selection criteria below. Essential Selection Criteria A doctoral qualification in Mathematics. Strong background in analysis, particularly involving harmonic analysis and/or partial differential equations. Demonstrated capacity to produce high-quality research publications. Ability to provide guidance to and work with honours or postgraduate students within the discipline. Ability to work independently and as part of a collaborative research team. Desirable Selection Criteria Experience with estimates on singular integrals, elliptic/parabolic regularity in partial differential equations and theory of function spaces. Note: This position requires a criminal history check and verification of your academic qualification. *** We welcome applications from international candidates.*** Applications Close: Monday 3rd of August 2026 at 11:59pm (AEST). *** Applications will be reviewed as they are received, and we reserve the right to progress or decline an application prior to the application closing date. We also reserve the right to close the advertisement early if a sufficient number of qualified applicants is received. *** Specific Role Enquiries: Xuan Duong, Professor - xuan.duong@mq.edu.au. The Faculty of Science and Engineering at Macquarie University has a goal to increase the engagement of women, Aboriginal and Torres Strait Islander peoples, and people from diverse backgrounds in STEMM roles. Applications are considered holistically, and candidates are encouraged to apply even if their experience does not meet each individual selection criterion. Why Work at Macquarie? Macquarie is a university on the move - we're bold, innovative, and deeply committed to staff wellbeing. We rank among the top employers in the Australian Workplace Employers Index and earned a five-star QS World Ranking for employability. Our prime location is just a short walk from Macquarie University Metro Station and Macquarie Shopping Centre. Enjoy the benefits of working at a campus that offers: 17% Superannuation Subsidised onsite parking options Flexible working arrangements Training and professional development opportunities Onsite childcare facilities Discounted health insurance through Medibank Onsite vacation care Employee Assistance Program (EAP) Subsidised membership at the Sport & Aquatic Centre Onsite GP, imaging, and physio clinics Pre-Employment Checks Macquarie University cultivates a workplace defined by safety, ethical conduct, and strong integrity. Prior to completion of an offer of employment, preferred candidates will be required to participate in a combination of pre-employment checks relevant to the role they have applied for. Your employment is conditional upon the completion and maintenance of all role-required pre-employment or background checks in terms satisfactory to the University. A Place Where You Belong At Macquarie, we believe diversity makes us stronger, inclusion drives our success, and belonging inspires us to do our best work. We are proud to foster a community where different backgrounds, identities, and experiences are valued, and where our people are empowered to thrive through supportive leadership, shared responsibility, and a deep commitment to genuine care and respect for our community. Find out more about our vision for a truly inclusive workplace in our Diversity, Inclusion and Belonging Framework. Flexible Work At Macquarie, we believe by providing flexibility in when, where and how work is done, we can support our staff to manage our personal commitments, while optimising their work performance and contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture and hiring process, explore our Candidate Resource Hub.