Yonsei University School of Business
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Research Fellow in Artificial Intelligence
The Australian National University
Australia, Canberra
The Australian National University
Australia, Canberra
Classification: Academic Level B1 Salary package: $124,638 per annum plus 17% superannuation Terms: Full time, Fixed Term (2 years) Flexible arrangements, job share, or part time hours will be considered. Design new algorithms and systems at the cutting edge of artificial intelligence research Collaborate with a vibrant and internationally recognised research group at ANU Work with industry and government partners to apply AI research to real-world outcomes Position Description and Selection Criteria: PD&PEWER_Level B_Research Fellow in AI.pdf About the opportunity This position is a fixed term appointment for a period of two years (24 months) to contribute to research in artificial intelligence, with a particular focus on large language models and their applications. Applications are particularly invited from researchers who undertake high-impact collaborative and cross-disciplinary research, and whose interests and expertise contribute to the activity cluster, School, and College. In-depth knowledge in at least one of the following areas will be highly regarded: the technology of large language models, natural language and text processing, qualitative and quantitative methods for evaluating system and user behaviour. Join a growing portfolio of projects in artificial intelligence, natural language processing, and machine learning. These projects build on the School’s strengths in AI, machine learning and vision, natural language understanding and robotics. They also collaborate with other requisite disciplines to integrate human and social values in AI systems, touching on aspects of philosophy, cognition, policy, and safety. You will conduct research on Human-Centred AI with applications in bridging the information gaps in real world applications and design and implement novel algorithms, formulating and solving human-centered AI problems. The Research Fellow will also support the development of partnerships with industry and government stakeholders, engage with the wider research community to advance computing research and education capabilities. In addition, you will contribute to the School educational programs, including being the mentor for research students and teaching activities that align with your career development. The nature and scope of these activities will be negotiated between the Research Fellow, their supervisor, and the school. About the School The School of Computing has a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and computational science. Our mission is motivated by the need to design, drive and sustain strategic activities via five broad focus areas: Computing Foundations, Computational Science, Intelligent Systems, Data Science and Analytics, and the Software Innovation Institute. Be part of an innovative and forward-looking intellectual agenda, built on a diverse, inclusive culture. About the College As one of the great universities of the world, ANU is driven by a culture of excellence in everything we do. Our lived experience is increasingly one of large-scale systems of people, whose actions and interactions are influenced by our digital, physical and biological environment. The ANU College of Systems and Society (CSS) hosts many of the key disciplines necessary to help us design, build, regulate and secure the future. CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new approach to systems design and build new national capabilities in data-driven policy and business development. The work we do in the College is to strengthen our national mission and meet our unique responsibilities as Australia’s national university. We will deliver on our mission by building a strong community, providing transformative educational experiences, conducting high-impact research, seeking meaningful engagement, and becoming a resilient organisation. We welcome and openly acknowledge differences in expertise, research / education / professional focus, experience and perspective. CSS is a vibrant and diverse community of more than three thousand students, staff, and visitors. Our College is comprised of the School of Computing, School of Cybernetics, School of Engineering, Fenner School of Environment & Society, Mathematical Sciences Institute, and the Australian National Centre for the Public Awareness of Science, supported by the Professional Services Group. Enquiries To enquire about this role, please contact Professor Lexing Xie, E: lexing.xie@anu.edu.au or P: +612 6125 1646 Our commitment to diversity, belonging, inclusion and equity ANU is committed to building a diverse and inclusive community, and particularly welcomes applications from women, Aboriginal and Torres Strait Islander people and candidates from culturally and linguistically diverse backgrounds. Furthermore, it is practice in the ANU College of Systems and Society to actively seek a gender mix of shortlisted candidates for interview. We welcome and develop diversity of backgrounds, experiences and ideas and encourage applications from individuals who may have had non-traditional career paths, who may have taken a career break, had career disruptions or who have achieved excellence in careers outside of the higher education sector. We support applicants who require flexible arrangements in their work environments or patterns. What we offer The ANU provides attractive benefits and excellent support to maintain a healthy work/life balance and offers generous remuneration benefits, including four weeks paid vacation per year, assistance with relocation expenses and 17% employer contribution to superannuation. We also offer generous parental leave, the possibility of flexible and part time working arrangements, a parental and aged care support program, dual career hire programs, staff and family tuition fee discounts, ANU school holiday programs, and childcare facilities on campus. How to apply Applicants must apply online via the ANU recruitment portal and should upload the following separate documents: A detailed curriculum vitae (CV) including a full publication list and the names and contact details of at least three referees (preferably including a current or previous supervisor). A cover letter telling the selection committee about your interests and expertise in AI research, in particular large language models and their applications. (Optional) An achievement relative to opportunity statement where appropriate. Applications which do not address the selection criteria may not be considered for the position. Please note: The successful candidate must have rights to live and work in this country. This position is open to visa sponsorship. An offer of employment is conditional on satisfactory results of a background check conducted during the recruitment process. Closing Date: Wednesday 22 July 20266, 11:55pm (AEST)
Salary
$124,638 per annum plus 17% superannuation
Posted
22 Jun 2026
Senior Professional Officer (& above) (Robotics and Embodied AI)
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
Schemes of Service: Professional Officers Division: Professional Officers Employment Type: Fixed Term Job Purpose 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. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. Targeted to be ready in 2024, SIT’s centralised campus within the larger Punggol Digital District will feature a vibrant learning environment where academia and industry will be tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy. The Professional Officers Division (POD) houses a centralised pool of academic staff under the Professional Officers scheme. Professional Officers bring specialised and deep technical expertise developed through extensive industry experience. They provide a critical industry perspective to student learning and applied research, complementing the academic expertise of faculty by translating industry practices and real-world applications into the curriculum. SIT is expanding its Robotics and Embodied AI (EAI) capabilities, building a cohort of academic staff who are keen and experienced working on industry problems in relevant areas. At SIT, academic staff will have the opportunity to shape and lead applied research in a unique real-world environment. Located within Punggol Digital District (PDD), SIT’s purpose-built campus serves as a living lab for precinct-scale robotics test-bedding, where academic staff can work with government and industry partners to develop, validate and deploy next-generation robotic systems safely and at scale. Candidates will contribute to industry-relevant research in embodied AI, simulation and digital twins, cybersecurity, robot operations and related areas, with a strong emphasis on translation into real-world applications. Through collaborations with leading robot companies and end-users, academic staff will help solve practical deployment challenges, build shared digital infrastructure, and train the next generation of robotics talent for Singapore’s future economy. Key Responsibilities Lead or co-lead innovative applied research and industry collaboration projects with industry partners and government agencies. Bring practical engineering skills to drive EAI innovations. Design, develop, and teach laboratory sessions and practice-based modules in Robotics & Embodied AI and related areas. Secure and manage research grants to support applied research initiatives. Supervise and mentor students in applied research projects, Capstone Projects, and the Integrated Work Study Programme (IWSP). Manage laboratory facilities, equipment, and technical resources to support academic programmes and applied research activities. Ensure compliance with laboratory safety policies, procedures, and best practices. Contribute to the development of applied AI capabilities, learning resources, and industry-relevant curriculum support. Work closely with faculty and internal stakeholders to drive teaching, applied research, and innovation initiatives outcomes. Job Requirements A good Bachelor’s degree or Master’s/PhD degree in Robotics, Mechanical/Electronics Engineering, Computer Science, or a relevant domain with demonstrated embodied AI research and/or application experience. At least 8 years of relevant industry experience, preferably in a technical role within an organisation driving research and/or innovation outcomes Strong technical expertise in the following areas (ideally at least two): Policy Learning and Robotics Control: Imitation / reinforcement learning, generative policies, residual learning, cross-embodiment generalisation. Robotics Data Engineering: Data capture, synchronisation, calibration, evaluation harnesses and simulation data pipelines Foundation Models & World Models for Robotics: VLA grounding, planning interfaces and world-model reasoning for robots State Estimation, Perception and Sensor Fusion: 3D scene understanding, diagnostics, active and manipulation-centric perception System Integration, Deployment & RobotOps: ROS2 systems integration, runtime robustness, safety and field deployment engineering Swarm Robotics & Multi-Agent Systems: Decentralised coordination, shared mapping and resilient communications Fleet Management & Remote Operations: Mission control, tele-operation, network resilience and lifecycle operations Cyber-Physical Security & Trustworthy Robotics: Threat modelling, resilience, incident response, AI ethics and data privacy Experience applying embodied AI to real-world use areas will be advantageous, such as (non-exhaustive): Facility Management Healthcare Advanced Manufacturing Urban Systems Biotechnology & Chemical Engineering Demonstrated interest and capability in supporting research and academic project work, with the ability to develop software solutions to technical problems. Strong supervisory and mentoring skills, with an interest in working closely with students in an educational environment. Commitment to continuous learning and professional development, with the ability to keep abreast of developments in the field. Relevant industry certifications will be an added advantage. For senior appointments, demonstrated managerial or team leadership experience may be required.
Salary
Competitive
Posted
22 Jun 2026
Human-Computer Interaction - Teaching Faculty Position
Mohamed Bin Zayed University of Artificial Intelligence
United Arab Emirates, Abu Dhabi
Mohamed Bin Zayed University of Artificial Intelligence
United Arab Emirates, Abu Dhabi
Description The Human-Computer Interaction (HCI) area in the Computing and Mathematical Sciences Division at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Teaching Faculty in the field of Human-Computer Interaction (HCI) for a six (6) month to one (1) year term. The successful candidate will be responsible fordelivering high-quality instruction, mentoring students, contributing to curriculum development, and will also have the opportunity to collaborate with leading AI researchers. We are seeking faculty at all levels (Assistant, Associate, Full Professor) to: Deliver courses in Human-Computer Interaction (HCI), User Experience (UX), Interaction Design (IxD), Service Design and related areas. Develop course materials, including lectures, assignments, exams, and lab exercises. Foster an engaging and inclusive classroom environment that encourages student interaction and critical thinking. Provide timely feedback and academic guidance to students. Supervise student research projects, theses, and dissertations. Mohamed bin Zayed University of Artificial Intelligence(MBZUAI) is a world-leading university dedicated to advancing AI as a global force for good. The UAE’s visionary leaders established MBZUAI to educate and develop top talent, conduct advanced research, foster an innovation ecosystem, and act as a strategic think tank for the public and private sectors. The University attracts world-class thinkers and doers in computer science, AI, bioscience, humanities and beyond. Our groundbreaking academic research initiatives are working on developing future solutions that will impact the world and change the way we imagine things. Qualifications This position requires: A Ph.D. in Human Computer Interaction (HCI), Computer Science, Information Science, Cognitive Science, Design Engineering or a related field by the time of appointment. Demonstrated potential (for Assistant level) or established excellence (for Associate/Full level) in teaching and mentoring. Application Instructions To apply for this position, please submit the following: Cover Letter Curriculum Vitae Statement of teaching interests, and experience with evidence of courses taught Name and contact details for three referees (reference letters from applicants will not be accepted, each referee will be contacted to upload their reference letter via Interfolio)
Salary
Competitive
Posted
22 Jun 2026
Research Engineer/ Research Fellow (Design Factory, in Material Science and Engineering Area) - NCP
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
Role Overview We are looking for a motivated Material Science and Engineering Engineer to join our team. In this role, you will lead the development and testing of materials for various applications, contributing to innovative projects that drive our mission forward. This involves researching, developing, testing, and processing materials like metals, plastics, and ceramics to improve product performance. You will lead and apply best practices in materials science and engineering. Key responsibilities include analysing material structures at the atomic level, conducting failure analysis, selecting materials for new products, and optimizing manufacturing processes Responsibilities R&D: Lead material selection, development, and characterization for applications in electronics, aerospace, or biomedical devices; evaluate and integrate new analytical instrumentation. Testing & Characterization: Design and execute experiments to evaluate mechanical, thermal, and chemical properties; analyze data to inform design decisions. Failure Analysis: Root-cause investigation of material failures; recommend and validate corrective actions. Process Development: Optimize manufacturing processes (e.g., casting, coating); qualify and collaborate with suppliers with minimal supervision. Collaboration & Communication: Partner with design, manufacturing, and supply chain teams; deliver clear technical reports and presentations. Sustainability & Compliance: Assess environmental impact of materials; maintain lab safety and regulatory compliance. Required and Preferred Qualifications Bachelor's in Materials Science/Engineering or related field + 2+ years of experience in materials R&D or product development. Hands-on experience with materials characterization (e.g., SEM, XRD, FTIR, mechanical testing). Proficiency in data analysis tools (Python, MATLAB, JMP) and technical documentation. Strong analytical skills and attention to detail. Excellent written and verbal communication skills. Resourceful, meticulous and problem-solving attitude. Technical Skills and Relevant Technologies: Experience with CAD/CAE tools (SolidWorks, ANSYS) and DFM/DFA principles. Knowledge of industry standards (ASTM, ISO) and regulatory frameworks (e.g., ISO 13485 for biomedical). Characterization: SEM/EDS, XRD, DSC/TGA, tensile/impact testing. Software: Thermo-Calc, Materials Studio, Python/R for data analysis, CAD (SolidWorks). Processes: Experience with additive manufacturing, thin-film deposition, or polymer processing. Standards: Familiarity with ASTM, ISO, or industry-specific material specifications.
Salary
Competitive
Posted
22 Jun 2026
Senior Professional Officer (& above) in Aerospace MRO (Smart Maintenance & Repair Systems)
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
Schemes of Service: Professional Officers Division: Professional Officers Employment Type: Fixed Term Professional Officer in Aerospace MRO (Smart Maintenance & Repair Systems) 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. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. Targeted to be ready in 2024, SIT’s centralised campus within the larger Punggol Digital District will feature a vibrant learning environment where academia and industry will be tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy. SIT is also establishing strategic live test beds known as ‘Living Labs’ both within and beyond its Punggol campus to support greater experiential learning and strengthen its applied research offerings. The university’s pool of experts works with multi-disciplinary teams to drive the horizontal technology enablers required to support SIT’s strategic translational research. The Professional Officers Division (POD) houses a centralised pool of academic staff under the Professional Officers scheme. Professional Officers bring specialised and deep technical expertise developed through extensive industry experience. They provide a critical industry perspective to student learning and applied research, complementing the academic expertise of faculty by translating industry practices and real-world applications into the curriculum. SIT is strengthening its capabilities in Aerospace Maintenance, Repair and Overhaul (MRO), building a cohort of faculty who are experienced in solving real-world aerospace maintenance challenges through applied research and innovation. Focus areas for Aerospace MRO include: Smart Maintenance & Predictive Diagnostics Digital Twins & Lifecycle Engineering Robotics & Autonomous Inspection Systems Composite Structures Inspection & Repair Advanced Repair Technologies (e.g. Additive Manufacturing) Responsibilities: Design, develop, and teach laboratory sessions and practice-based modules in Aerospace MRO and related areas. Lead or co-lead innovative applied research and industry collaboration projects with industry partners and government agencies. Secure and manage research grants to support applied research initiatives. Supervise and mentor students in applied research projects, Capstone Projects, and the Integrated Work Study Programme (IWSP). Manage laboratory facilities, equipment, and technical resources to support academic programmes and applied research activities. Ensure compliance with laboratory safety policies, procedures, and best practices. Contribute to the development of applied Aerospace MRO capabilities, learning resources, and industry-relevant curriculum support. Work closely with faculty and internal stakeholders to drive teaching, applied research, and innovation initiatives outcomes. Qualifications: A good Bachelor’s degree or Master’s degree in Aerospace Engineering, Mechanical Engineering or a closely related discipline. Strong track record in Aerospace MRO, aerospace systems, or related applied research/industry practice At least 7 years of relevant industry experience, preferably in a technical role within an organisation driving research and/or innovation outcomes Strong technical expertise in one or more of the following areas: Predictive Maintenance & Prognostics (PHM) Structural Health Monitoring (SHM) and NDT/NDI Digital Twins and physics-informed modelling Aerospace robotics and autonomous inspection systems Composite materials, damage detection, and repair Additive manufacturing for aerospace repair (flight-certified applications) Aircraft systems, gas turbine maintenance, or MRO best practices Circular economy and sustainable aerospace maintenance Experience Applying Expertise to one or more of the following: Commercial or military Aerospace MRO operations Smart hangar / digital MRO transformation initiatives AI-enabled inspection and diagnostics systems Robotics deployment in maintenance environments Lifecycle management of composite aircraft structures Industry-scale maintenance optimisation and downtime reduction Demonstrated interest and capability in supporting research and academic project work, with the ability to develop software solutions to technical problems. Strong supervisory and mentoring skills, with an interest in working closely with students in an educational environment. Commitment to continuous learning and professional development, with the ability to keep abreast of developments in the field. Relevant industry certifications will be an added advantage. For senior appointments, demonstrated managerial or team leadership experience may be required. Key Competencies Passion for teaching, coaching, and mentoring students and junior practitioners. Strong analytical and hands-on problem-solving skills. Ability to build and maintain effective working relationships with internal and external stakeholders. Adaptability and willingness to work across functions and teams in a dynamic environment. Self-motivated and committed to continuous learning and professional growth.
Salary
Competitive
Posted
22 Jun 2026
