Koya University

The Student Recruitment Event Team deliver all the virtual and in person events for prospective students to the University of Southampton. We are recruiting an administrator to coordinate student ambassadors to work in roles across our events. The role will advertise work opportunities, create ambassador rotas, deliver appropriate training and work with colleagues in the wider Event Team as well as academic staff and other professional services staff. The ability to work with Excel, Outlook and MS Teams as well as learn other systems such as virtual event platforms and CRM will enable you to succeed in the role. Good organising and timekeeping to administrate the multiple events through the cycle needs to be demonstrated, an understanding of Higher Education would be helpful but not essential and a willingness to support the delivery of in person and virtual events. We are looking for an individual who is committed to support the training and recruitment of ambassadors to enable them to represent the university and develop their skills in communication, presenting and customer service. The post is managed by the Team Leader – Ambassadors, managed by Ed Hollick. Please direct any questions on the role to: E.G.Hollick@southampton.ac.uk

Postdoctoral Researcher in Theoretical Evolutionary Biology  Modelling the Evolution of Sex-Specific Differences in Life History and Immunity Supervisor: Dr. Piret Avila Faculty of Biological and Environmental Sciences, University of Helsinki The Faculty of Biological and Environmental Sciences and Academy Research Fellow Dr. Piret Avila are seeking a highly motivated Postdoctoral researcher to develop theoretical work on the evolution of sex-specific differences in immunity and life history traits. We are accepting applications immediately and will continue until the position is filled. The ideal starting date is February/March 2026, but it can be later.  The position involves developing mathematical models to understand how natural selection shapes sex-specific immune strategies. The goal is to generate quantitative predictions testable against empirical data from diverse ecological contexts. We use methods from theoretical evolutionary biology, including optimal control theory, life history modelling, adaptive dynamics, and population genetics. This position is part of the interdisciplinary consortium at the University of Helsinki, Sex Differences in Immunity, led by Dr. Avila, which brings together researchers across evolutionary biology, immunology, genomics, demography, and statistics to bridge evolutionary and mechanistic explanations of sex differences in immunity. WHAT WE OFFER Starting salary for post-doctoral researchers is approximately 3625 euros/month A fully-funded 3-year position at the University of Helsinki (Viikki campus) An opportunity to conduct research as part of a vibrant interdisciplinary consortium, bridging evolutionary theory with immunology, genomics, and demography Collaboration across disciplines, with research visits to leading groups in the field Funding for attending international conferences to build your scientific network Access to excellent resources and professional development opportunities The University of Helsinki offers comprehensive services to its employees, including occupational health care and health insurance, unemployment and pension fund, a generous holiday package, sports facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers). YOUR PROFILE PhD in biology, mathematics, or a related field Strong background in mathematical or computational modelling Ability to develop and pursue independent research questions Interest in or experience with interdisciplinary research is a plus How to apply A motivation letter (max 1 page), short description of your research interests and description of your background relevant to the position Curriculum vitae (max 3 pages) Publication list Contact information of two persons who are willing to provide a reference letter by separate request External applicants, please submit your application using the University of Helsinki Recruitment System via the Apply Now button. Applicants who have a helsinki.fi username and a valid employment contract, a grant researcher's contract or a visiting researcher's contract at the University of Helsinki are requested to leave their application by using the Employee Login button. The closing date for applications is 31 August 2025 at 23:59 EEST. We will process applications already during the application period and the position will be filled as soon as a suitable candidate is found. Further information  About the position: Academy Research Fellow Piret Avila piret.avila@helsinki.fi Recruitment system: rekrytointi@helsinki.fi   Viikki Campus: https://www.helsinki.fi/en/about-us/campuses/viikki-campus Support for international staff: https://www.helsinki.fi/en/about-us/careers/welcome and https://ihhelsinki.fi (International House Helsinki) Why choose University of Helsinki: https://www.helsinki.fi/en/about-us/careers/why-university-helsinki Faculty of Biological and Environmental Sciences: https://www.helsinki.fi/en/faculty-biological-and-environmental-sciences

About us  King’s College London invites applications for a Postdoctoral Research Associate (PDRA) in AI for Equitable Disease Modelling to join the GeoAI for Health Equity Lab (GAHEL, pronounced “gail”) led by Dr. Sabrina Li. The PDRA will contribute to Dr. Li’s UKRI-funded Future Leaders Fellowship project which focusses on integrating equity considerations into infectious disease modelling and surveillance, starting with the UK. The PDRA will be based in the Department of Geography, but will have access to training and support from King’s Health Partners Digital Health Hub, King’s Institute for Artificial Intelligence, and the Digital Futures Institute.  The PDRA will also have access to research and career development from King’s Centre for Research Staff Development. The postholder will work closely with Dr. Li and in collaboration with national and international interdisciplinary partners based at the UK Health Security Agency (UKHSA), University of Cambridge, Imperial College London, John Hopkins University (USA), and Google Deepmind (London). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high risk individuals and groups. The PDRA will translate conceptual frameworks into mathematical models of complex cross-scale disease dynamics across different epidemiological scenarios. A key responsibility is to test key assumptions about differential disease risk by integrating high-resolution socio-ecological, environmental, and novel health data from individual and population sources. This research will advance our understanding of how major infectious diseases of concern in the UK emerge, spread, and unequally affect different individuals and population groups.  Outcomes of this research will help advance the development of more equitable, spatial data-driven approaches to public health surveillance and pandemic preparedness, with direct links to public health policy. The findings will inform the development of a real-time spatial AI system to improve early detection and risk prediction, to protect vulnerable populations in the UK and in the future globally.  This is a full time post (35 hours per week), and you will be offered a fixed term contract until 30 April 2030. Part time employment may be considered. Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About you  To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven ability to work independently. Track record in publishing peer-reviewed papers. Demonstrated ability to collaborate effectively within teams, with a strong commitment to fostering a fair and inclusive work environment. Excellent written and oral communication skills, including to diverse audiences.  Desirable criteria Experience managing stakeholder relationships and working in a practitioner/policy context. Experience working on interdisciplinary research projects. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6. Further information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Interviews are due to be held between Monday 19th - Friday 23rd January 2026. Grade and Salary: £47,379 per annum including London Weighting Allowance Job ID: 134809 Close Date: 11-Jan-2026 Contact Person: Sabrina Li Contact Details: Sabrina.Li@kcl.ac.uk