Institute of International Relations of the Ministry of Foreign Affairs of Turkmenistan

To support its growing student population, the School of Economics would like to appoint two Lecturers (teaching focused) on a fixed term (11 months) and part time (0.5 FTE) contract. The successful candidates will contribute to our teaching activities and will undertake administrative duties as assigned by the head of economics. The posts will commence on 1 September 2026 and will end on 31 July 2027. We encourage applications from candidates with teaching experience in any area of Economics. Candidates should hold, or be in the process of completing, a PhD in Economics or related field and should have previous experience of teaching economics in a university setting or similar environment. Resourcefulness, enthusiasm and demonstrated ability to collaborate with colleagues and to work as part of a supportive team are important traits of the successful candidates. What we can offer In return we offer a generous pension, flexible working options including job share and blended home/campus working locations (dependent on work duties), access to world-class leisure facilities on campus, a range of travel schemes and supportive family friendly benefits including an excellent on-site nursery. Further details To apply please submit a cover letter indicating how your profile would enhance the School’s teaching environment, and a copy of your CV, via our website. Informal enquiries should be directed in the first instance to Professor Holger Breinlich (h.breinlich@surrey.ac.uk) or Dr. Sanna Nurmikko-Metsola (s.nurmikko-metsola@surrey.ac.uk). The University reserves the right to close this vacancy early based on volume and calibre of applications. At Surrey, we are committed to providing an inclusive environment that offers equitable opportunities for all, in the pursuit of Surrey’s vision to be a leading global university. We work together to create a truly inclusive culture. We place great value on diversity and welcome applicants from all backgrounds. We are seeking to increase the diversity within our community and would particularly encourage applications from under-represented groups, such as women, people from Black, Asian and minority ethnic groups and people with disabilities. Appointments will always be made on merit. Further details Job Description

The Centre for Vision, Speech, and Signal Processing is seeking to recruit a Research Software Engineer to support major research projects in generative AI, computer vision and LLM development. You will join an established research group within a highly rated research department, with an excellent computing and software infrastructure for first class research, modern facilities and close links with industry. Surrey’s Institute for People-Centred AI builds on 40 years of work into foundational AI at the Centre for Vision, Speech and Signal Processing (CVSSP) which is ranked 1st in the UK for Computer Vision and in the top-5 for both Audio-Visual AI and Robotics (CS Rankings, 2025). The post sits within Professor Bowden’s sign language research group at CVSSP, which leads a portfolio of major collaborative projects developing AI for sign languages. These include SignGPT, a five-year EPSRC Programme Grant with the University of Oxford and UCL building tools to translate automatically between spoken language and photo-realistic sign language video in both directions; UMCS, a UK and Japan collaboration developing real-time sign language translation in everyday conversation; and a Google.org-funded project reducing the cost of sign language translation through AI. The Research Software Engineer will support and contributing to related research across the group, working on data management, front end demonstration software, AI model training, and inference and prediction, and on the construction and maintenance of a visual language toolkit that supports the research collaboration and its dissemination activities. The applicant should preferably have a PhD in a related area, but experience of software development in a research environment is key. Previous experience of sign language recognition and translation would be advantageous but not essential. The candidate should have good analytical and programming skills and experience of computer vision and machine learning; previous experience of real-time systems development in Python, PyTorch and deep learning would be desirable. The post will also involve full-stack software development to turn research models into usable tools and demonstrators, so experience of back-end development (for example REST/API services, databases and containerised deployment) and of building web front-ends to expose models and data is highly desirable. Applicants are expected to be proactive, to support others and to be self-motivated. The post is full time and offered for 3 years in the first instance. Salary will be in the range £37,694 to £56,535 per annum, on Levels 4 and 5. The work will involve Deaf people and users of British Sign Language (BSL), and through wider collaborative links, users of other international sign languages. Knowledge of sign language and awareness of Deaf culture would be advantageous. Deaf candidates with suitable experience would be welcome to apply. The University of Surrey is a global university with a world-class research profile and an enterprising spirit, located in one of the safest counties in England, within 35 minutes of London by train and minutes away from the Surrey Hills, an Area of Outstanding Natural Beauty. Recent investments have seen the opening of a world-class Sports Park and important updates to central facilities. We can offer a generous remuneration package, which includes relocation assistance where appropriate, an attractive research environment, the latest teaching facilities and access to a variety of staff development opportunities. Informal enquiries related to the project to Professor Richard Bowden by e-mail: r.bowden@surrey.ac.uk. Please upload your CV and a covering letter. Further details Job Description

Assistant Professor / Associate Professor / Professor 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. SIT’s centralised campus within the Punggol Digital District features a vibrant learning environment where academia and industry are 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. 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: Lead and contribute to applied research projects with industry partners and government agencies in Aerospace MRO Develop and teach Aerospace MRO-related modules within SIT’s Aircraft Systems Engineering (ASE) and interdisciplinary programmes Supervise Industry Doctorate/Masters and capstone projects in collaboration with domain faculty and industry partners Contribute to SIT’s continuing education and workforce upskilling programmes (CET/CSM) Drive translational research outcomes, including deployment of solutions in operational MRO environments Serve as a technical mentor across disciplines (AI, robotics, materials), enabling cross-domain integration for smart MRO systems Qualifications: PhD in Aerospace Engineering, Mechanical Engineering or a closely related discipline Strong track record in Aerospace MRO, aerospace systems, or related applied research/industry practice Technical expertise and deep knowledge of 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 leadership and evidence of working on industry/society-defined problems Experience with industry research collaborations, applied research grants, and/or system deployment Established thought leadership and/or professional standing e.g. publications in top journals and keynotes, in addition to non-publication outputs and impact such as open-source tools, technical reports, patents, deployed systems Demonstrated track record of cross-disciplinary collaborations Ability to communicate clearly with domain experts, industry practitioners and general public What SIT offers: An applied research environment, working together with industry partners, to tackle real-world problems SIT values applied research impact and evaluates faculty accordingly on how their research had made a difference to society or industry Opportunities to work on a coherent applied AI research agenda with colleagues across disciplines Access to SIT’s Living Lab Network and Punggol Digital District ecosystem as testbeds for applied research A meaningful role in building Singapore’s applied Aerospace MRO research capability at a pivotal moment Singapore’s exceptional quality of life, competitive personal tax environment, and position as Asia’s leading research and innovation hub How to apply: Candidates should submit the following: Curriculum vitae including grants, publications, patents, and deployed systems Cover Letter Research statement (up to 2 pages) outlining your Aerospace MRO research programme and industry relevance Teaching statement (up to 1 page) on applied learning approach Three key research outputs with impact description