Islamic University of Madinah

Classification: Academic Level B Salary package: $124,638 - $141,317 per annum plus 17% superannuation Terms: Full time, Fixed term (up to 12 months) Flexible arrangements, job share, or part time hours will be considered. Position Description and Selection Criteria: PD&PEWER_Level B_Research Fellow_CSS_2026.pdf Define and solve problems in successful human-AI partnership for information seeking and utilisation 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 About the opportunity This position is a fixed term appointment for a period of one year (up to 12 months) to contribute to research in artificial intelligence, with a particular focus on large language models and their interface to humans with varying expertise in real-world responsible AI scenarios. The successful candidate will design and develop new AI algorithms and systems, engage with a dynamic research group within the School of Computing, and collaborate with industry and government partners to translate research findings into real-world impact. 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. 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 via lexing.xie@anu.edu.au. 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 will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. Closing Deadline: Wednesday, 29 July 2026, 11:55 pm (AEST) 

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee. Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference. The role You will be at the heart of our library's daily operations, ensuring a welcoming environment for all users from the Library Welcome Desk and supporting those studying and researching remotely.  Your role will involve assisting students, staff and visitors, delivering information and support services and answering first-line enquiries in person and online. You'll provide guidance on accessing resources, collections, and membership services, offer support for digital resources and printing services. Additionally, you'll address information enquiries, library account queries, book retrieval and help manage our learning spaces, ensuring a positive and inclusive library experience for everyone.  About you We are looking for an enthusiastic and confident individual with a passion for delivering exceptional customer service, who can deal with multiple enquiries at our busy Library Welcome Desk as well as online.  You will be proactive, well organised, reliable and a be a great communicator, delivering services with a smile. You will be able to work independently, have good IT skills, and be the main point of contact for any issues that arise. What we can offer In addition to salary, you will receive a yearly incremental pay rise, generous annual leave entitlement of 25 days holiday plus 7 university closure days and 8 bank holidays (pro rata for part time roles), a generous pension, access to world-class leisure facilities on campus, a range of travel schemes, and supportive family friendly benefits including an excellent on-site nursery. How to apply  To apply, please upload a CV along with your application to the University website. You will also be asked some brief questions to help us understand your suitability for the role.  For more information or an informal conversation, please contact Sally Hoadley (Library Experience Lead) s.hoadley@surrey.ac.uk Interviews will be held on Tuesday 21st July.  Further details Job Description

Purpose 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 products and implementing AI solutions using ready AI tools to ensure a fast implementation to market. 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 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 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. Key Responsibilities Lead or co-lead innovation projects with industry which includes SMEs, MNCs, government agencies. Work closely with centre head 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. 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.  A minimum of 8 years working experience in industry. Strong technical expertise in one or more of the following areas:  Usage of AI tools or software to solve industry problems or enhance industry operations 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  Time-series modelling and anomaly detection  Digital twins and simulation  Demonstrated Applied AI for Healthcare and clinical practice  Industry 4.0 and/or Industry 5.0 (added advantage) Experience utilizing AI tools 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.  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. 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. For senior appointments, demonstrated managerial or team leadership experience may be required.