United States International University – Africa

LU PRESIDENTIAL POSTDOCTORAL RESEARCH FELLOWSHIP SCHEME Postdoctoral Fellow (Post Ref.: 24/888) Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) 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/. We are launching the LU Presidential Postdoctoral Research Fellowship Scheme (PPRF) and invite applications from early career researchers from all over the world. Successful candidates will have the opportunity to collaborate with our academics in a supportive and dynamic research environment. The University will provide them with the resources, expertise, and mentorship to achieve their research goals. Eligibility Applicants should have obtained / been conferred a PhD degree or an equivalent qualification, and the PhD degree should have been received no more than three years prior to the start of the Fellowship. They are expected to have a good research track record and demonstrate good potential in publishing high quality papers. Duration and Requirements of the Fellowship The duration of the Fellowship will normally be three years. The appointment will normally be made on an initial contract of 1 year, and further appointment for a period of 2 years is subject to the appointee’s satisfactory performance. The appointees are required to submit applications for the RGC Junior Research Fellow Scheme (JRFS) or the JC STEM Early Career Research Fellowship for Translation and Application (JC STEM ECRF), and are encouraged to apply for other local / overseas grants or fellowship schemes. Terms and Benefits The conditions of appointment will be competitive. 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 appointees. The appointees will also be provided with research funding of HK$10,000 per year to support their research activities. Application Procedure Applicants are required to contact potential supervisors at Lingnan University and submit a research proposal (as discussed/developed by the applicants in conjunction with the potential supervisors) together with their applications. In the research proposal, please also indicate the name and the department of the potential supervisor. 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 posts are filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the posts advertised, or to fill the posts by invitation or by search. We regret that only shortlisted candidates will be notified.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on a research project, funded by Singapore Ministry of Education (MOE), where you will be part of the research team to develop a scalable and comprehensive framework for formal verification of quantum programs. The framework consists of the following deliverables: Intermediate Language. We plan to develop an intermediate language to model quantum programs. The intermediate language would be complete to describe all the desired characteristics of quantum computing while at the same time simple enough to be understood by most programmers. Formal Verification Framework. We plan to develop a comprehensive framework to verify the correctness of quantum programs written in the proposed intermediate language. Mechanization. We plan to mechanize the formal framework using state-of-the-art theorem provers such as Coq or Isabelle/HOL. Proof Automation. We plan to develop formal methods for automatic reasoning that can be materialized into commercial tools. Responsibilities Participate in and manage the research project with Principal Investigator (PI) and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: develop an intermediate language to write quantum programs. develop a comprehensive framework to verify the correctness of quantum programs written in our intermediate language. mechanize the verification framework using state-of-the-art theorem provers such as Coq or Isabelle/HOL. develop formal methods for automatic reasoning that can be materialized into commercial tools. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Have relevant competence in the areas of formal methods (including theorem proving and model checking), quantum computing, and software analysis/verification. Have a degree in computer science, computer engineering, electrical engineering, or related areas. Possessing a Master degree will be advantageous. Knowledge of quantum circuit design and quantum program analysis/verification will be advantageous. Key Competencies Able to build and maintain strong working relationships with people within and external to the university Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work

About Us ​​The Digital Health Hub Training Manager will play a key leadership role within the EPSRC-funded King’s Health Partners Digital Health Hub (KHP DHH), contributing to the professional services leadership of the Hub’s training arm. The role supports the delivery of skills development for individuals working at the healthcare-industry interface, fostering collaboration between digital innovators and the healthcare workforce to address real-world challenges in digital health. Sitting within a collaborative, multi-disciplinary environment, the Training Manager will work closely with colleagues across the Hub’s core pillars (Training, Co-design, Translation, and Acceleration) to ensure impactful and integrated training delivery aligned with the Hub’s overarching goals.  ​​About the role This role is an exciting opportunity to contribute to the professional services leadership of our EPSRC-funded King’s Health Partners Digital Health Hub (KHP DHH) as the Training Manager.  The training component of this Hub focuses on identifying and delivering the skills needed to train problem solvers who address real-life challenges at the healthcare–industry interface. The goal is to support the development of proactive individuals who can use relevant data and technologies to tackle real problems in digital health. Digital innovators and the healthcare workforce work together in a multi-disciplinary environment to develop safe and scalable solutions. The training arm of the Hub works collaboratively with the other Hub arms, including AI training, co-design strategies, entrepreneurship, industrial partner engagement, Patient and Public Involvement & Engagement (PPIE), digital health innovation, and the research pilots embedded in the Hub. The four core pillars are Training, Co-design, Translation & Acceleration.  Organised and delivery-focused, you will join an established team and bring experience in gathering, interpreting, and presenting data to demonstrate impact. Experience of matrix working would be beneficial, as the programme facilitates collaborative efforts to identify and overcome barriers to effective integration and translation across disciplines. You will work closely with subject matter experts and the learning technologist to maintain and enhance existing asynchronous training resources, as well as create new engaging materials for a range of audiences in digital health. The role also supports the delivery of in-person training, from advertising and bursary coordination to post-course feedback collection.  The successful candidate will collaborate with the learning technologist to understand the learning objectives of course participants and engage with supporters, patients, and the public in workshops led by participants. These workshops provide opportunities to share learning experiences and offer feedback on the structure and content of the taught material.  Onsite working will be required for effective collaboration across the Digital Health Hub, with the expectation that the successful candidate will work onsite at least three days per week.  This is a full time post (35 hours per week), and you will be offered ​a fixed term​ contract until 31.03.27. About You ​​To be successful in this role, we are looking for candidates to have the following skills and experience:  Essential criteria ​Strong project/programme management experience, including good IT skills (Microsoft suite). ​A degree in a science or health-related field, or relevant experience, and familiarity with medical/scientific/AI terminology. ​Customer focused, with excellent communication skills both verbal and written: ability to write coherently, and in good English, to a range of audiences across a range of academic disciplines. ​Proactive, ability to work independently, problem solve and use initiative. ​Experience of managing relationships with a range of stakeholders. ​Experience of impact/non-financial outcomes measurement, analysis and reporting ​Experience with communication strategies, such as effective use of social media and websites ​Budget management experience.  ​Desirable criteria ​Knowledge of AI, and knowledge of evaluation and impact measurement techniques and analysis. ​Marketing and market research experience. ​Experience of designing or commissioning education or learning events. ​Web design and UX skills. ​Line management experience and experience of matrix working. ​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.  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 person specification section of the job description. 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. Grade and Salary: £53,947 - £63,350 per annum, including London Weighting Allowance Job ID: 134826 Close Date: 11-Jan-2026 Contact Person: ​Professor Rebecca Oakey Contact Details: Rebecca.oakey@kcl.ac.uk​