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The Faculty of Science and the Finnish Institute for Molecular Medicine Finland (FIMM), HiLIFE at the University of Helsinki invite applications for a joint (50%:50%) position as RESEARCH FELLOW (UNIVERSITY RESEARCHER) IN AI FOR POPULATION HEALTH AND GENOMICS for a fixed-term appointment of maximum 4 years. The starting date is as agreed, ideally between September and December 2026. We seek an ambitious researcher with expertise in artificial intelligence, machine learning, or computational statistics, and a demonstrated interest in applications to human genetics and/or population health. We primarily seek to appoint at the Research Fellow level, requiring postdoctoral experience and emerging record of independent research, but will also consider candidates to be appointed as Postdoctoral Researchers. The research action Sustainable Wellbeing Across Lifespan (SWAN) (https://www.swan-helsinkiuni.net/) conducts cutting-edge research to promote health span by identifying individual risks and susceptibilities, aiming to clarify mechanisms of degeneration across the lifespan and exploring new approaches to detecting, monitoring and treating remodeled metabolism associated with ageing. The successful candidate is expected to develop an independent research programme within this broad scope, focusing on methodological innovation and the application of modern AI approaches to large-scale biomedical data. Research topics may include foundation models for longitudinal electronic health records and genomics, multimodal learning integrating health records with molecular data, causal representation learning, in-context learning and amortized inference for healthcare decision-making, and AI-assisted scientific discovery workflows. The work will be done together with the Ganna Lab (https://www.dsgelab.org/) at FIMM and the Probabilistic Machine Learning Lab (https://www.helsinki.fi/en/researchgroups/probabilistic-machine-learning; groups of Acerbi and Klami) at the Department of Computer Science, aligning with concurrent projects developing foundation models for healthcare. The groups are active members of the ELLIS Institute Finland (https://www.ellisinstitute.fi/), providing extensive opportunities for collaboration with leading researchers in artificial intelligence across Finland and Europe. The position offers access to globally unique research resources, including nationwide longitudinal health records from Finland covering more than five billion healthcare events, FinnGen with genomic data from over 500,000 participants, and extensive multi-omics datasets including proteomics and single-cell transcriptomics. Researchers also benefit from access to world-class computing infrastructure through CSC and LUMI, one of Europe's most powerful supercomputers. RESPONSIBILITIES The appointed researcher is expected to pursue independent research on methodological innovation in developing and applying AI methods within the SWAN research action, in collaboration with existing research groups at the university, and will have the opportunity to be part of ELLIS Institute Finland activities. In addition, the appointed researcher participates in the joint activity of the university-wide AI Research Lab advancing the use of AI in scientific research, together with other researchers working in the intersection of AI and other scientific disciplines. The daily working activities of the appointed researcher will be split between the Faculty of Science and FIMM. Opportunities for contribution to teaching (up to 5-10% of annual working time) will be provided. QUALIFICATIONS An ideal applicant has: A doctoral degree in a suitable field Scientific competence in developing and/or applying artificial intelligence methods with proven publication record in scientific venues in the field. We expect publication record in top-tier venues in AI and machine learning (e.g. NeurIPS, ICML, ICLR, or similar) and/or publications with clear AI contributions in leading biomedical journals (e.g. Nature Genetics, Nature Medicine, Nature Machine Intelligence or similar). Applicants are expected to describe their research interests and their relationship to the scope and topic of the position, and to specify how they envision collaboration with existing research groups at the University of Helsinki. A vision of the role of AI in the application domain and an outline of planned research relating specifically to the use of AI in scientific research, for instance development of AI methods for commonly recurring tasks in the field, human-AI collaboration in scientific research, or development of open-source tools for AI4Science. To qualify for the Research Fellow (University Researcher) position, the candidate needs to additionally present Demonstration of additional scholarly activity, such as evidence of independent research activity, the ability to lead a research group, and experience in the acquisition of research funding. Evidence of public engagement WHAT WE OFFER University of Helsinki is an equal opportunity employer and offers an attractive and diverse workplace with a variety of development opportunities and benefits. The appointee’s gross annual salary will, in practice, range from €55,000 to €65,000, depending on their previous experience and qualifications. Standard Finnish pension benefits and occupational health care are provided for university employees. Further information can be obtained online. The employment contract will include a probationary period of six months. Finland is a member of the European Union, has high quality free schooling (also in English) and generous family benefits and healthcare. Finland was recently ranked as the best country in the world for expat families, and Helsinki in the world’s top ten most livable cities. Finland and the Helsinki region feature leading research and innovation facilities, clean environment, affordable accommodation, and excellent international, national, and local transport connections. For more information about working at the University of Helsinki and living in Finland, please see the website. The appointee is expected to reside in Finland while employed by the University of Helsinki. International staff are supported in relocating to Finland. HOW TO APPLY The University of Helsinki is committed to promoting equality and preventing discrimination in all its operations. We welcome applicants from a variety of genders, linguistic and cultural backgrounds, and minorities. Please submit your application, together with the required attachments, through the University of Helsinki Recruitment System via the link "Apply now" (“Hae nyt”). Use your current email address to register to the Recruitment System. Applicants who are currently employed by the University of Helsinki are requested to submit their application via the link “Employee login” (“Työntekijän kirjautuminen”). The closing date for applications is 31 July 2026 (at 23:59 UTC + 3). The following documents in English are required and must be included in the application: A curriculum vitae List of publications An accompanying 2–4-page document addressing the qualification points 1-5 above and specifying which position you apply to (Research Fellow or Postdoctoral Researcher). The names, positions and contact details of two referees Other attachments, such as letters of recommendation or other certificates, are not required at this point. FURTHER INFORMATION Further information about the positions and the research project may be obtained from Professor Arto Klami at the Faculty of Science (arto.klami@helsinki.fi), and from Professor Andrea Ganna at FIMM (andrea.ganna@helsinki.fi). Further information about the recruitment process can be obtained from recruitment@helsinki.fi.

Make a difference in the apprentice and trainee journey Full-time, fixed-term position (until July 2027) at our Croydon and Wantirna campuses HEW6 salary + 17% super and staff benefits About the Role Join Swinburne's Apprenticeships and Traineeships team and play an important role in supporting apprentices, trainees and employers throughout their learning journey. Reporting to the Apprenticeship and Traineeship Co-ordinator, you'll provide specialist advice on enrolments, study plans and course progression, helping students and employers navigate their training with confidence. You'll be the go-to contact for complex enquiries, working closely with teaching staff, StudentHQ and external partners to deliver an outstanding customer experience. In this varied and rewarding role, you will: Provide specialist advice on enrolments, course structures and study plans. Respond to student and employer enquiries, resolving complex issues with professionalism and care. Build strong relationships with teaching staff, StudentHQ, industry partners and regulatory bodies. Maintain accurate student records and support compliance with apprenticeship and traineeship requirements. Identify opportunities to improve processes and contribute to continuous service improvement. If you're passionate about delivering exceptional service and helping apprentices and trainees succeed, we'd love to hear from you. About You To be suitable for this role you will need to have experience in the below key accountabilities: Experience delivering high-quality administration and customer service in a busy, client-focused environment. Excellent organisation and time management skills, with the ability to manage competing priorities and maintain strong attention to detail. Strong communication and relationship-building skills, with confidence supporting a diverse range of stakeholders. A proactive approach, sound judgement and the ability to work independently and collaboratively. Strong digital skills, including Microsoft Office, and the ability to quickly learn new systems. Knowledge of the Victorian vocational education and apprenticeship system is highly regarded, while experience in the Australian higher education or vocational education sectors is desirable. For further information about the role, including the full list of responsibilities and selection criteria, please see the Position Description. Qualifications Completion of a degree or associate diploma and at least two years subsequent relevant work experience; or an equivalent combination of relevant experience and/or education/training. About Swinburne University of Technology  Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of Entrepreneurship. We are committed to a differentiated university proposition in education and research. Our Ad Astra strategy is the cornerstone of Swinburne’s bold ambition to lead globally in technology-driven education and research. This strategy positions us to create transformative solutions, empower learners, and partner with industry to thrive in an ever-changing world. What We Offer You! Work your way with flexible working arrangements, including hybrid options and generous parental leave to support a balanced lifestyle.  Exclusive staff discounts, including discounted Medibank health insurance, 50% off Swinburne courses and other partner offers. Swinburne offers 17% super and salary packaging options, including car leasing and extra super contributions. Want to learn more? Head over to our benefits page! To Apply  Please submit your CV and cover letter addressing the Key Selection Criteria and your suitability for this position.   To review the Position Description and to apply, please scroll down to the bottom of the page. If you are viewing this advert from an external site, please click ‘apply’ and you will be redirected to Swinburne’s Jobs website to access the Position Description at the bottom of the page. Please Note: Appointment to this position is subject to passing a Working with Children Check. If you are experiencing technical difficulties with your application, please contact the Talent Acquisition team at talentacquisition@swin.edu.au  Applications Close: Wednesday 8 July 2026, at 11.00pm Swinburne offers flexible working options contained in our leave and parenting/carer policies to support work-life balance. Diversity, Equity and Inclusion Swinburne has become a world-class university, driving social and economic impacts through science, technology, and innovation. As a dual-sector university, our vision is for people and technology working together to build a better world. Central to our vision is our commitment to diversity, equity, and inclusion. We pride ourselves on being an equal opportunity employer focused on attracting, retaining, and developing great talent. We work to remove barriers related to gender identity, culture, ethnicity, sexual orientation, disability, and age. Swinburne is proud to be recognised as an AWEI Gold Employer, reflecting our commitment to creating an inclusive workplace where LGBTQIA+ employees, students and communities can thrive. We strongly encourage applicants from diverse Aboriginal and Torres Strait Islander communities. Our Moondani Toombadool Centre leads our Indigenous education and culture at Swinburne, guided by community wisdom and leadership. We support applicants with disabilities, and reasonable adjustments can be requested at any stage of the recruitment process. For reasonable adjustment requests - including accessible formats of the position description, application form, or other documents, please contact talentacquisition@swin.edu.au or call +61 3 9214 3550.  Please note: this phone number is for disability and reasonable adjustment enquiries only. General enquiries about the role can also be emailed to talentacquisition@swin.edu.au. Victoria’s Commitment to Action: Improving international student employment outcomes. As a signatory to Victoria’s Commitment to Action, Swinburne seeks to remove barriers to international graduate employment. We welcome and encourage applications from international graduates. As a Circle Back Initiative Employer, we commit to responding to every applicant. #LI-SW Please click here for Position Description How to apply: Start your application by clicking the "begin" button. 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Professor Ying Weng is seeking to recruit an Assistant Research Fellow in Artificial Intelligence (outsourced) to join the research project team in School of Computer Science at University of Nottingham Ningbo China. Your Responsibilities: The successful candidate will have specific responsibility for Professor Ying Weng’s research project in Artificial Intelligence. The person appointed will be expected to conduct work using approaches or methodologies and techniques appropriate to the type of research, and will be responsible for writing up their work for publication. The successful appointee will have the opportunity to use their initiative and creativity to develop research methods and extend their research portfolio. This may include opportunities to: undertake supervised research which may include planning, preparing, setting up, conducting and recording the outcome of experiments and fieldwork, developing questionnaires and conducting surveys within the framework of an agreed programme. Conduct literature and database searches and carry out analyses and/or tests and/or critical evaluations using specified and agreed techniques, approaches and/or models and document findings.. Contribute to the production of research reports and publications Prepare and present papers on research progress and outcomes to relevant groups including external bodies.. Continue to develop skills in and knowledge of research methods and techniques and contribute to the development of/or choice of techniques, models, methods, critiques and approaches. Communicate information and ideas to other staff and advise and assist other staff within area of expertise. Build relationships with internal and external contacts to develop knowledge and understanding and form relationships for future collaborations. Work in conjunction with others in the research team, achieve objectives and deadlines of the research project. Participate in training and staff development events, as trainer or trainee, as appropriate. Maintain appropriate professional development, expertise and awareness. Undertake other tasks and responsibilities as may reasonably be required. About You: Essential: Degree in relevant subject area. Excellent oral and written communication skills, including the ability to communicate with clarity on complex information. Developing research skills. Ability to contribute to method improvement. Analytical ability to facilitate conceptual thinking, innovation and creativity. Ability to build relationships and collaborate with others, internally and externally. Evidence of sufficient breadth or depth of research methodologies and techniques to work in research area. Desirable: Master’s Degree in relevant subject area. Demonstrates a desire to further develop skills and knowledge of research methods and techniques. Some practical experience of applying the specialist skills approaches and techniques required for the role. Evidence in use of research methodologies and techniques to work within research area About Us: Join a unique British University in China. University of Nottingham Ningbo China (UNNC) was the first Sino-foreign university to open its doors in China. This award winning campus offering a UK style education has grown to establish a student body of over 10,000 in just 22 years. This is an exciting opportunity to join the School of Computer Science, in the Faculty of Science & Engineering, based at the University of Nottingham Ningbo China (UNNC). The School of Computer Science at UNNC is part of the School of Computer Science at the University of Nottingham, UK, which is ranked among the top UK Computer Science departments (http://www.nottingham.ac.uk/computerscience ). The School at UNNC offers a full range of undergraduate and postgraduate computer science programmes. Supported by major research grants, the School of Computer Science at UNNC is developing research excellence in areas including Machine Learning, Big Data, Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their applications in manufacturing, transport, healthcare and others. Your Remuneration, Benefits and Support You will be offered a fixed term for 1 year with an outsourced contract effective from June 2026, or as soon as possible thereafter. We are committed to providing competitive employment packages while supporting the wellbeing of our staff to help them reach their full potential. How to Apply Applicants wishing to apply for a vacancy should submit the following documents by email to: job@nottingham.edu.cn before 23:59 (Beijing Time) on the closing date. Please include: Vacancy reference number & title Application Form Cover Letter CV Enquiries If you are unable to apply online please contact the Human Resources Office via Email: Job@nottingham.edu.cn and quote the reference number of “184601”.