Akli Mohand Oulhadj Bouira University

The Biophotonics group at Southampton is developing a prototype system for rapid dementia diagnostics. As part of our fast-moving development phase, we are seeking a Research Software Engineer to join our interdisciplinary team on a short-term basis (3 months on full-time or part-time basis). The successful candidate will play a key role in refining and integrating sample preparation capabilities into our prototype system. This is a unique opportunity to contribute to an impactful health-tech project with real-world significance. You'll be working alongside a passionate team of scientists and engineers in translating research into a clinically viable tool for early dementia diagnosis. Working at the University of Southampton: Check out the staff benefits and why you should join us at The University of Southampton

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) of the People’s Republic of China (PRC) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. Applications are now invited for the following post: Associate Professor / Assistant Professor Department of Finance (Post Ref.: 25/238) In line with the University’s strategy, the Department of Finance is committed to producing undergraduates with a broad-based liberal arts education to cope with the challenge of the Finance profession. The department has a record of high quality teaching. All appointees are expected to contribute to teaching excellence. General Requirements Candidates should have a relevant PhD degree in Finance and relevant discipline, with outstanding research and teaching potentials. Lingnan University has a strong commitment to teaching and research excellence. The appointee is expected to contribute to the Department, the Faculty of Business, and the University by securing external competitive research grants, publishing papers in top academic journals, teaching relevant courses at undergraduate and postgraduate levels, and engaging in some service activities. In addition, excellent communication and presentation skills are highly desirable. A candidate holds distinct advantages if he or she has an impressive publication record, professional qualifications (e.g., CFA), administrative and teaching experiences, and/or close relationships with financial institutions in Hong Kong and with the major professional bodies. The appointees are expected to submit applications for RGC grants, other local/overseas competitive grants and/or fellowship schemes. Appointment The conditions of appointment will be competitive. The rank and remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointee. Appointment will normally be made on an initial contract of three years, which, subject to review and mutual agreement, may lead to longer-term appointment with possibility of consideration for substantiation. Application Procedure (online application only) Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. Review of applications will continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified

We have an exciting opportunity for a highly motivated doctoral candidate to join us for a fully funded PhD at the University of Southampton, working on the smart design of thermoelectric coolers for on-chip cooling. This studentship is offered as part of the prestigious Horizon Europe Marie Skłodowska-Curie Doctoral Network “MaGnesium Alloys for effICient solId stAte cooliNg (MGICIAN)”, a pan-European programme focused on advanced thermoelectric materials, devices, and system-level integration. About MGICIAN MGICIAN brings together academic and industrial partners across Europe and trains 15 Doctoral Candidates in materials development, interface engineering, module fabrication, and system integration. As a doctoral candidate, you will benefit from an integrated training programme combining academic research, industrial exposure, and international mobility, alongside structured training in transferable and professional skills. Project description Based at the University of Southampton, this PhD project will focus on the development of advanced thermoelectric cooler designs for on-chip cooling applications within the MGICIAN Doctoral Network. The project will address model-based and data-driven design strategies to optimise thermoelectric cooler architectures using magnesium-based materials and modules developed in the consortium. Particular emphasis will be placed on improving cooling efficiency, thermal uniformity, dynamic response, and integration compatibility with modern microelectronic and photonic platforms. The project will combine numerical modelling, optimisation methodologies, and experimental validation to establish design–performance relationships and ensure scalability and application-oriented implementation of thermoelectric cooling solutions for next-generation compact electronic systems. Research Tasks and Training Objectives The doctoral candidate will: Develop numerical and data-driven models for thermoelectric coolers used in on-chip cooling applications Apply optimisation algorithms to improve cooling efficiency, thermal uniformity, and scalability Investigate design trade-offs between performance, footprint, and energy consumption Support the design and fabrication of thermoelectric coolers for localised chip-scale cooling Experimentally evaluate cooling performance, response time, and reliability Integrate modelling insights into device-level and system-level demonstrators within the network Collaborate closely with materials, module, refrigeration, and photonics-focused DCs Participate in secondments, network-wide scientific training, and transferable skills activities Disseminate research results through peer-reviewed publications, international conferences, and outreach initiatives Required Qualifications Education: Master’s degree (or equivalent) in Electronic or Electrical Engineering, Mechanical Engineering, Applied Physics, Materials Science, or a closely related field Technical Competences: Strong background in thermal management, thermoelectric systems, or numerical modelling Experience with simulation tools (e.g., COMSOL, FEM, MATLAB, or similar software) Knowledge of optimisation methods, data-driven modelling, or control strategies is advantageous Understanding of microelectronic or photonic device thermal behaviour is beneficial Interest in compact cooling technologies and high-performance electronic systems Personal Skills:  Strong analytical and quantitative problem-solving abilities Ability to work independently and within an international interdisciplinary research network Excellent written and spoken English Marie Skłodowska-Curie eligibility criteria Applicants must fulfil the MSCA Doctoral Network eligibility rules: You must not have been awarded a doctoral degree at the time of recruitment Mobility rule: at the time of recruitment, you must not have resided or carried out your main activity (work or studies) in the UK for more than 12 months in the 3 years immediately prior to recruitment (short stays such as holidays are excluded) Please note that, upon appointment, the successful candidate’s post title will be “MSCA Doctoral Network Research Fellow.”