University of Agder

(Fixed term for 12 months) Liverpool John Moores University (LJMU) is a distinctive, unique institution, rooted in the Liverpool City Region and with a global presence. Our students and staff, past, present, and future, are the beating heart of our city and can be found in every corner of every industry and community. We couldn’t exist anywhere else and have shaped the city in which we belong. Working with the people of Liverpool to improve lives and support communities is at the heart of why we were founded and why we exist today. The School of Sport and Exercise Sciences at Liverpool John Moores University is seeking to appoint a Clinical Exercise Physiologist for a 12-month period. You will join our growing team of Clinical Exercise Physiologists and will play a leading role in the development, implementation and evaluation of an LJMU-based physical activity and exercise clinic for individuals living with long-term health conditions, including liver cancer and post-liver transplantation. Working closely with academic colleagues and the Lead Clinical Exercise Physiologist within the Research Institute for Sport and Exercise Sciences, the postholder will support the delivery and ongoing development of the service. The role will also involve contributing to the supervision and support of students involved in service delivery. Informal enquiries can be made to Dr Matt Cocks at m.s.cocks@ljmu.ac.uk In return, we offer an excellent benefits package including generous annual leave entitlement, pension scheme, induction and development support as well as family-friendly policies. This is an exciting time to join the university as we deliver the LJMU Strategy 2030 and its vision of LJMU as an inclusive civic university transforming lives and futures, by placing students at the heart of everything we do. If you feel that this is the role you have been looking for and your skills and experience can make a real difference at LJMU, we look forward to hearing from you. LJMU is an equal opportunities employer and welcomes applicants from all backgrounds and communities irrespective of age, transgender status, disability, gender, sexual orientation, ethnicity and religion or belief. All our appointments are made on merit. Anticipated interview date: 30/06/2026 Please note all of our vacancies will be closed to applications at midnight on the advertised closing date, unless otherwise stated.

Several Postdoctoral researcher and 1-2 doctoral researcher positions in machine learning in Kaski Lab, ELLIS Institute Finland and Manchester Centre for AI Fundamentals Samuel Kaski’s two-part research lab in ELLIS Institute Finland  (Probabilistic Machine Learning, Aalto University) and the Centre for AI Fundamentals in University of Manchester, is searching for postdocs and doctoral students to work on AI fundamentals in exciting projects. The work includes collaboration within ELLIS Institute Finland, the Finnish Center for Artificial Intelligence (FCAI),  with the rest of ELLIS, and researchers from other fields. Samuel Kaski is Professor of Computer Science in Aalto University and Professor of AI in the University of Manchester. He is the Director of  ELLIS Institute Finland and the Finnish Center for Artificial Intelligence. His research group develops machine learning principles and methods focusing on a few key topics, often working with researchers of other fields in new exciting applications (see currently available  topics below). Topics You will join a team developing the next generation of probabilistic and collaborative AI. We study fundamental questions in machine learning, including uncertainty-aware and simulation-based inference, generative modeling, robustness under distribution shift, automatic experimental design, privacy-preserving learning, (inverse) reinforcement learning, computational rationality, and user modelling. Our goal is to develop principled AI methods that are reliable, adaptive, and scientifically useful. The research combines advances in ML foundations with real-world applications in domains such as scientific discovery, healthcare, and design or drugs, materials, systems. By bringing together expertise  in machine learning, statistics, optimization, we tackle challenging interdisciplinary problems that cannot be solved by any single approach alone. Below, we outline the research topics for which we are currently seeking candidates. Multimodal foundation models Key words: multimodal learning, foundation models, human-aligned fine-tuning, fine-tuning for downstream tasks, test-time adaptation You will join a research team developing next-generation multimodal foundation models that can reason across text, images, video, and 3D molecular design and robotic environments. The research is conducted within an EU-funded European AI initiative ELLIOT. Our goal is to make these systems more grounded, adaptable, efficient, and aligned with human goals and feedback. The work combines fundamental advances in multimodal representation learning with practical questions of deploying large-scale AI systems in dynamic real-world settings. Depending on your interests, you may work on topics such as large-scale multimodal training, test-time adaptation under distribution shift, efficient model distillation and adaptation, retrieval-augmented learning, or alignment through human feedback, preference, and interaction. Out-of-Distribution Deployable Machine Learning Key words: out-of-distribution generalization, distribution shift, active learning, human-in-the-loop learning, probabilistic modelling, sequential experimental design, collaborative AI, decision support We develop machine learning methods that remain reliable when deployed outside their training conditions. A central challenge in modern AI is that real-world environments differ from the data that models were trained on, leading to failures caused by distribution shifts, hidden confounders, and incorrect assumptions. Our ERC AdG-funded research addresses these challenges by combining probabilistic machine learning, adaptive inference, and human-collaborative AI. Your work will focus on developing algorithms and frameworks that enable models to adapt to new environments, learn efficiently from limited feedback, and support human decision-making under uncertainty. Depending on your interests, the research may involve out-of-distribution generalization, domain adaptation, active learning, learning from expert feedback, sequential experimental design, collaborative AI systems, or probabilistic approaches to robust deployment. The project combines foundational ML research with opportunities to collaborate closely with leading application-domain experts and international research partners. Collaborative AI Key words: collaborative AI, human–AI interaction, decision support, human-in-the-loop learning, uncertainty-aware AI, interactive machine learning, computational rationality, AI-assisted discovery You will join a research team developing collaborative AI systems that work effectively with people in complex decision-making and problem-solving tasks. Our goal is to build AI methods that can interact naturally with users, reason under uncertainty, adapt to human preferences and expertise, and support reliable human decision-making. The research combines machine learning, probabilistic modelling, cognitive modelling, and interactive AI to develop systems that complement rather than replace human intelligence. You may work on topics such as human-in-the-loop learning, uncertainty-aware decision support, preference learning, adaptive interaction, AI-assisted scientific discovery, computational rationality, or collaborative reasoning between humans and AI systems. The work addresses both foundational questions in human-centered machine learning and practical challenges in deploying collaborative AI in real-world environments. The work offers opportunities to collaborate with leading international researchers and application-domain experts in areas including healthcare, sciences, and intelligent decision support. Fundamental and Applied Machine Learning Research Key words: machine learning, probabilistic modelling, generative AI, representation learning, optimization, trustworthy AI, adaptive systems, AI for science We are also looking for researchers interested in tackling ambitious open problems in machine learning beyond the themes listed above. Our group works on a broad range of topics spanning probabilistic modelling, generative AI, adaptive and interactive learning systems, trustworthy AI, and AI methods for scientific discovery and decision-making. We are particularly interested in research that combines strong methodological foundations with the potential for high real-world impact - and the impact can come at different time horizons. Depending on your background and interests, your work may involve developing new machine learning principles, scalable inference and optimization methods, robust and uncertainty-aware AI systems, generative models, representation learning methods, or novel applications of AI in science, healthcare, and intelligent systems. We encourage interdisciplinary research and collaboration across machine learning, statistics, cognitive science, and application domains. The position offers considerable freedom to shape research directions while contributing to a collaborative and internationally connected research environment. Your experience and ambitions We expect the candidates to have a solid background in the mathematics/statistics/computer science needed in machine learning, and hold or be close to getting a relevant doctoral degree for a postdoctoral researcher and a master degree for a doctoral student researcher. Previous experience in the application fields and cognitive science is an advantage. Capability of both independent work and teamwork, and excellent written and spoken English are necessary. We provide 1) RESEARCH ENVIRONMENT You will work in Professor Samuel Kaski’s research group in ELLIS Institute Finland (Probabilistic Machine Learning Group) or the UK (Centre for AI Fundamentals). We design collaborations as we go, according to what the research needs. Collaborators include but are not restricted to the other groups in ELLIS Institute Finland, the Finnish Center for Artificial Intelligence (FCAI), other sites of the European Laboratory for Learning and Intelligent Systems (ELLIS) and Centre for AI Fundamentals of the University of Manchester and a number of excellent researchers in other fields in our applications. 2) JOB DETAILS Postdoc positions are typically made for up to three years, with option for renewal; doctoral-student positions start with a two-year contract and continue with a second two-year contract after a check-point. Starting dates are flexible and all positions are negotiated on an individual basis. We are strongly committed to offering everyone an inclusive and non-discriminating working environment. We warmly welcome qualified candidates from all backgrounds to apply and particularly encourage applications from women and other groups underrepresented in the field. All our positions are fully funded and the salary is based on the Finnish universities’ pay scale. The starting salary depends on the level of the position and the previous experience and is typically starting from 4200€ for postdocs and 3100€ for doctoral students, increased as the experience grows. All employees have access to occupational health care services and are covered by the Finnish national health insurance system. Ready to apply? Submit your application through Aalto recruitment system Workday by the button below “apply now”. The deadline for applications is  June 28 2026 at 23:59 Finnish time. You can either submit a separate application to the University of Manchester (the application link will be added in early June) if you want to be considered for both locations, or a single application if you want to be considered only for that specific location. Required attachments Cover letter (1–2 pages).  CV List of publications (please do not attach full copies of publications) A transcript of doctoral study and earlier studies (especially for doctoral students) The degree certificate of your latest degree. If you don’t yet have a PhD degree for a postdoctoral researcher position or a Master degree for a doctoral student position, a plan of completion must be submitted. Contact details of two senior academics who can provide references. We will contact your referees if we need recommendation letters. All materials should be submitted in English in a PDF format. Note: You can upload max. five files to the recruitment system, each max. 5MB. Please note: Aalto University’s employees and visitors should apply for the position via our internal system Workday -> find jobs (not external aalto.fi webpage on open positions) by using their existing Workday user account. Contacts: Coordinator Fang Wang (fang.wang@aalto.fi) More Information We are part of ELLIS Institute Finland, which is a leading research environment building on Finland’s strong track record in machine learning research, including work at the Finnish Centre for Artificial Intelligence FCAI. ELLIS Institute Finland is part of the European ELLIS network and operates in close partnership with Finnish universities, RDI organizations, and industry, forming a vibrant AI and machine learning ecosystem. The Institute offers excellent computational resources - its own resources and through CSC, including access to the LUMI supercomputer and the European AI Factory, and is located in Otaniemi, Espoo, within a dynamic research and innovation hub. Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto has six schools with 14 000 students and a staff of 5000, of which more than 400 are professors. Our main campus is located in Espoo, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is an internationally-oriented community and home to world-class research in modern computer science, combining research on foundations and innovative applications. With over 40 professors and more than 450 employees from 50 countries, it is the largest department at Aalto University and the leading computer science research unit in northern Europe. Computer science research at Aalto University ranks high in several international surveys (7th in Europe and 1st in the Nordics (NTU 2023); and 88th worldwide in Times Higher Education subject ranking 2025). About Finland Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: World Happiness Report 2025: People are much kinder than we expect, research shows | The World Happiness Report. For more information about living in Finland: Why Finland? | Aalto University More info: twitter.com/fcai_fi linkedin.com/company/fcai youtube.com/channel/UC7nUhposDgxzDOKns_H5J0w Newsletter: http://eepurl.com/gVPBpf Aalto.fi twitter.com/aaltouniversity facebook.com/aaltouniversity instagram.com/aaltouniversity More about Aalto University: Aalto.fi youtube.com/user/aaltouniversity linkedin.com/school/aalto-university/ www.facebook.com/aaltouniversity instagram.com/aaltouniversity To view information about Workday Accessibility, please click here. Please see more of our Open Positions here.

Bring innovative perspectives, contemporary research leadership and constructive challenge to RMIT's College of Business & Law. Shape research, academic development and impact across one of the leading business and law Colleges in Southeast Asia. Executive academic leadership role with underlying ongoing Academic Level E role. About the role RMIT is seeking an outstanding academic leader to join the College of Business & Law (CoBL) as Associate Deputy Vice-Chancellor Research & Academic Development (ADVC RAD). This is a significant executive leadership opportunity for a senior research leader who has operated in high-performing university environments and is ready to bring that experience, perspective and ambition to RMIT. The Deputy Vice-Chancellor (DVC) is seeking a leader who can help the College review how things are done, learn from external practice, lift research performance and build the conditions for academic success across a large, complex and internationally connected College. CoBL is one of the largest business schools in the Asia-Pacific region, with a distinctive combination of business and law disciplines, deep industry connections, major operations in Melbourne, a business school in Vietnam, and partnerships across Southeast Asia and beyond. The College sits at the intersection of business, law, technology and social impact, creating a powerful platform for research that is applied, collaborative and globally relevant. Reporting to the DVC, the ADVC RAD will provide strategic leadership for the College's research portfolio and lead the implementation of RMIT's research strategy within the College. Uniquely, the role will also lead a distinctive academic development mandate, supporting staff capability, academic career pathways, promotion and progression to the professoriate. As a member of the College Executive, the successful candidate will work closely with the DVC, Deans, the College Executive, the central Research and Innovation Portfolio, RMIT Vietnam, HDR leaders and academic communities across the College and University. The role requires a leader who can combine academic credibility with practical implementation discipline; someone who can build trust, set direction, raise ambition and help others succeed. Key priorities Bring diverse leadership experience and external research practice knowledge to the way research and academic development are led across the College. Lead the College's research strategy, performance agenda and annual strategic operating plans, aligned to RMIT's broader research priorities. Strengthen a high-performance, collaborative and impactful research culture across business and law disciplines. Build College-wide research concentrations and cross-disciplinary activity aligned to major questions, applied impact and the intersection of business, law, technology and society. Enhance research impact through partnerships with industry, government, international institutions and professional networks. Lead the College's academic development agenda, including staff capability, career development, promotion readiness and progression to the professoriate. Oversee HDR strategy, recruitment, supervision quality, timely completions and the positioning of HDR activity within the College's research objectives. Strengthen research governance, grant evaluation, reporting and the management of emerging research risks, including AI, intellectual property, ethics and research integrity. Work across Melbourne, Vietnam and RMIT's international networks to build research capability, academic success and regional impact. To be successful in this role, you will bring: Professorial standing, a PhD and an internationally recognised research profile in a business or law discipline. Senior academic leadership experience at Dean, Associate Dean Research, ADVC, PVC or comparable level. Evidence of leading research strategy, research performance, research governance, HDR quality and impactful research outcomes at scale. Experience working in complex university environments, ideally across more than one institution or operating model. Contemporary understanding of the research landscape, including impact, translation, technology, AI, ethics, intellectual property, research funding and the future of business and law disciplines. Demonstrated experience supporting academic development, career pathways, promotion, capability uplift and the development of the professoriate. The ability to build credibility with senior academic leaders while also engaging constructively with professional teams, central portfolios and external partners. Strong international perspective, with experience or networks across Australia, New Zealand, the UK, Singapore, Hong Kong or Southeast Asia highly regarded. A leadership style that is collegial, inclusive and pragmatic, but also clear, decisive and performance oriented. The capacity to bring new ideas to RMIT while working constructively within a values-led, collaborative university culture. Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. To apply Please submit a maximum five-page relevant CV and maximum four-page covering letter addressing your interest and suitability for this position by clicking the 'Apply' link at the top of this page. For further information, please see the Position Description or contact Ben Cass, Executive Recruitment Manager via email ben.cass@rmit.edu.au for a confidential discussion. Please note, if you are viewing this advert from an external site, please click 'apply' and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Due to recent upgrades, position description links may not work on LinkedIn advertisements. Applications close on Sunday 28th of June at 11.59pm. About RMIT University RMIT is a multi-sector university of technology, design and enterprise with more than 96,000 students and close to 10,000 staff globally. The University's mission is to help shape the world through research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work. https://www.rmit.edu.au/about https://www.universitiesaustralia.edu.au/university/rmit-university Why work at RMIT University Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. Find out more about working at RMIT University, what we stand for and why we are an Employer of Choice. We want to attract those who will make a difference. View RMIT's impressive standings in university rankings. https://www.rmit.edu.au/about/facts-figures/reputation-and-rankings Bring Your Whole Self to Work We are better for our diversity. When we listen to those who are different to us, or challenge us, we grow stronger together. When we feel like we belong, we can achieve so much more. We respect each other, embrace our differences and build a sense of belonging in our team and beyond. We are proud that our dedication to diversity has been recognised by a broad spectrum of external organisations. Visit our Linkedin Life pages to learn more and see some of our most recent wins. RMIT has a strong dhumbali (commitment) to the employment, development and retention of Aboriginal and Torres Strait Islander people within a culturally safe environment; we strongly encourage applications from Aboriginal and Torres Strait Islander peoples. At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Dani (Senior Talent Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community. In line with RMIT University's commitment to a safe, respectful and inclusive environment, from 1 January 2026, the University will also consider gender-based violence (GBV) risk factors as part of our recruitment processes.All applicants will be required to complete a gender based violence declaration in accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence.Preferred candidates will also be required to undertake relevant pre employment background checks, including Working With Children Checks. Information provided will be treated confidentially and considered only for its relevance to the role and RMIT's safety obligations. We are a Circle Back Initiative Employer - we commit to respond to every applicant.