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Join our friendly Research and Enterprise Marketing team and play a critical role in delivering the university’s research and enterprise strategic plans.  We need someone who enjoys turning their hand to a variety of projects. Working as part of a small team you'll contribute to a range of collaborations to enhance our reputation. You'll be working to improve brand perception with core audiences, increase income, and enhance the understanding of new knowledge which is making a real difference to the world. Collaborating with senior leaders and academics, you’ll get under the skin of a wide variety of projects, understand their target markets, and develop compelling and competitive propositions for them. To deliver plans, you’ll engage with a network of specialist experts in commercial, digital and communications teams to meet our ambitious targets. About you: You’ll bring experience of planning and implementing marketing operations and the ability to do so in a large and complex organisation. Your skills in developing plans based on data and insight will underpin your creativity in designing innovative solutions. Adept at relationship-building, you’ll be able to work proactively with academic and professional service stakeholders and across a network of internal and external teams to effectively deliver marketing plans. A background in higher education is not essential and we welcome applications from those who have gained their marketing experience in the commercial sector. What we can offer you  We support a flexible approach to work and welcome hybrid working. With an understanding that there is a need to be on campus or visiting local business as part of the role. We have a range of benefits to make your life easier. In addition to a generous holiday allowance you will receive additional university closure days at Easter and Christmas. As staff you would be eligible for reduced fees at our on campus Early Years Centre, which provides quality childcare from birth to five years. Your long-term future would be supported with access to the Universities Superannuation Scheme (USS), subsidised health and fitness facilities and a range of discounts. If you wish to discuss the role in more detail, please email Kate Prince on REMarketing@soton.ac.uk Working at the University of Southampton: Check out the staff benefits and why you should join us at The University of Southampton!

We are seeking a highly motivated doctoral researcher to join the What Makes Us Human? Identifying, Evaluating and Modelling Specialist AI Competence (HUMAIN) project, investigating how large language models (LLMs) approximate, extend, or diverge from human expertise across domains. The starting date is negotiable but should be no later than November 1, 2026. The position is fully funded until August 31, 2030 (46–48 months, depending on the starting date). About the project As LLMs become increasingly embedded in education, work, and everyday life, understanding their relationship to human competence is both scientifically and societally urgent. Existing benchmarks largely measure accuracy or linguistic fluency, but overlook the tacit, contextual, and ethical dimensions that define real-world expertise. HUMAIN addresses this gap by developing the online Competence Imitation Game (COMIG), a novel, experimentally validated framework that allows domain experts to interrogate and evaluate human- and LLM-generated responses through structured question-answer-evaluation conversations. Combining computational and interpretive methods, the project will generate reproducible, cross-domain datasets of paired human–AI responses, analysed through embedding-based similarity measures, feature extraction, LLM-as-evaluator approaches, and qualitative interpretation. Domain experts are involved from the outset, helping to develop practitioner-informed metrics for imitation quality, contextual alignment, and pragmatic fit. Empirically, HUMAIN will conduct seven COMIG studies spanning everyday life, education, and work, engaging over 900 participants internationally. The project will also evaluate adaptation techniques, including prompt calibration, retrieval-augmented generation, and fine-tuning, to examine how LLMs can better align with domain-specific reasoning. For more information on COMIG, please see the article ”Introducing the Competence Imitation Game: A Research and Teaching Tool for Context-Specific AI Literacy” (https://ceur-ws.org/Vol-4138/paper3.pdf).  About the position You will support the further development of COMIG and contribute to empirical data collection, analysis, and reporting. You will be a part of the Research group on AI in Society and Education (RAISE) and work closely with Associate Professor Linda Mannila, PhD Otto Segersven and a postdoctoral researcher to be recruited. Who we are looking for We welcome applicants with a background in computer science, data science, language technology, or a related field. Applicants with, for example, a master's degree in social sciences combined with a strong background in data science, computational methods, or computer science are equally eligible. The position requires: Strong background in research methodology, including the design and implementation of empirical studies with human participants. Strong analysis skills, including both quantitative and qualitative methods. Strong background in computational methods, especially for working with text data. Experience with mixed-methods research (quantitative and qualitative). Excellent English skills. Knowledge of Finnish and/or Swedish, considered a merit, as some studies will preliminarily be conducted in Finnish contexts. LLM expertise, including prompt calibration, retrieval-augmented generation, and fine-tuning, considered a merit. In addition, according to the system of the University of Helsinki, all doctoral researchers belong to a doctoral programme. The successful candidate should apply to Doctoral Programme in Science and obtain the study right within the trial period of six months of their employment contract. Please check the admission periods and eligibility criteria at https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes/how-apply-doctoral-programmes. We offer A world class academic community that promotes diversity, international engagement and equality. We encourage all qualified applicants from diverse backgrounds to apply for our positions A starting salary of approximately 2800 euros/month Occupational health care and other social benefits Support for internationally recruited employees with their transition to work and live in Finland A chance to live in Helsinki and Finland renowned for their high quality of life, services, and work-life balance Application instructions Applications are to be submitted through the University of Helsinki´s recruitment system and include the following documents: CV  A motivation letter (max 2 pages). Please also include a brief description of your research ideas relevant to the project, for example, how you would design the empirical studies. We are interested in your own thinking about how to approach the methodological and analytical challenges the project raises. Contact information of two referees to provide reference letters upon request  The deadline for submitting the application is August 16, 2026 (at 23:59 UTC + 3). External applicants, please submit your application via the Apply Now button. Internal applicants, who have a helsinki.fi username and a valid employment/grant/visitor contract, please submit your application via the Employee login button. Additional information For more information on the position and the Research group on AI in Society and Education, please contact Associate Professor Linda Mannila (linda.mannila@helsinki.fi).  With technical questions related to the recruitment system, please contact recruitment@helsinki.fi. *** The Department of Computer Science at the University of Helsinkin is a leading unit in Finland in its area and responsible for the teaching and research in computer science at the University of Helsinki. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive international collaboration with companies and universities. Within teaching, the department’s professors and staff are in charge of the Bachelor’s, Master’s, and Doctoral Programmes in Computer Science, as well as the separate Master’s Programme in Data Science, in which other departments also participate. 

Organisation: Cranfield Airport Operations Limited Faculty or Department: Cranfield Airport Operations Limited Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37.5 hours per week Contract type Permanent Salary: Competitive, depending on experience - £33,000 – £37,000 Apply by: 22/07/2026 Role Description Cranfield Airport is a commercial and GA airport situated in Class G airspace situated between Bedford and the City of Milton Keynes with a 1799m runway which can accommodate business jets such as the Falcon, Gulfstream and Boeing Business Jet, which currently do not require runway slots. As a key function of safety and compliance you will be responsible for providing direction and guidance for the planning, implementation and operation of Cranfield Airport’s Safety Management System. This will cover the University’s Aviation Operation including: Cranfield Airport Canfield Airport Rescue and Firefighting Service Cranfield Air Navigation Service Provider UAV/Drone Operations Fuel Farm Installation Working as part of a team, the number one priority is safe operations in accordance with National (CAA) and European (EASA) requirements. As the Deputy Aviation Safety and Compliance Manager you will work with several domain specialists across the various elements of aviation operations to ensure we meet or exceed these standards. Qualifications and Skills To have undertaken a recognised course on the management of safety and quality (or equivalent) and being IOSH trained are essential to this role. Along with proven experience in an aviation or other highly regulated operational environment and proven exposure to a safety and quality management system. Experience in conducting monitoring audits and inspections and a solid understanding of risk management principles and techniques to support the SMS.  Additional information Cranfield Airport offers a range of excellent benefits which includes 25 days annual leave, plus bank holidays, a contributory pension scheme and excellent development opportunities. For an informal discussion, please contact Sarah Warde, Head of Safety and Compliance, E: sarah.warde@cranfield.ac.uk Apply online now at https://jobs.cranfield.ac.uk or contact us for further details on E:peoplerecruitment@cranfield.ac.uk. Please quote reference number 5344. Closing date for receipt of applications: 22 July 2026