The British University in Egypt

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. As Head of Secretariat, working closely with the University Secretary and General Counsel, you will manage the Secretariat team and lead the day to day operation of governance and secretariat services for the University, its Board and sub committees. You will provide advice on governance, constitutional and procedural matters in line with regulatory requirements and sector best practice ensuring that University, Board and committee business is planned, co-ordinated and delivered efficiently. You will have significant experience in governance, secretariat or committee management and of working with senior stakeholders within a large organisation. Experience within the UK higher education sector and knowledge of sector governance frameworks would be highly advantageous. 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. Please note all of our vacancies will be closed to applications at midnight on the advertised closing date, unless otherwise stated.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Future ship and system design (FSSD) program develop strategic and innovative design capabilities for maritime industry in Singapore and beyond. The work package WP2.4 in FSSD will conduct research in the areas of autonomous system dynamic modeling, simulation, testing, data and video analytics, machine learning algorithms and platform programing. The testing will be done both in lab, reservoir/sea and onboard ships. The primary responsibility of this role is to work on and deliver the project together with P2-4 team and be part of the research team in the FSSD program. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.  Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Carry out any additional work tasks assigned by the supervisor. To communicate with any relevant internal or external stakeholders to ensure project deliverables are met.  Job Requirements Have relevant competence in the areas of system modeling, simulation testing for both hardware and software. Have a degree in engineering / applied physics, electrical, mechanical, marine, computer engineering or equivalent.  Key Competencies Good knowledge in system modeling, programming, simulations, data analytics. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work.

Ref.: 534816 Work type: Full-time Department: Department of Medicine, School of Clinical Medicine (20600) Categories: Senior Research Staff & Post-doctoral Fellow Research Assistant Professor (to be seconded to GBAICTI as its Data Scientist (Artificial Intelligence)) (Ref.: 534816) The Greater Bay Area International Clinical Trial Institute (GBAICTI) is a wholly-owned entity of the Government of the Hong Kong Special Administrative Region, serving as a centralized clinical research facilitation platform with the mission of creating and sustaining a thriving clinical research ecosystem and driving development in Hong Kong and Greater Bay Area (GBA). In November 2024, the University of Hong Kong LKS Faculty of Medicine (HKUMed) was appointed as the operator of GBAICTI. In December 2025, the Real-World Study and Application Centre (RWSAC) was established under GBAICTI to open up local health and medical databases and promote collaboration between Hong Kong and other GBA cities. We are now seeking a high-calibre professional to join the RWSAC (located at Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone) as Data Scientist (Artificial Intelligence). We now invite applications for the captioned post. Duties and Responsibilities Develop and apply advanced artificial intelligence and machine learning models to real-world data (RWD). Create innovative tools and solutions to extract deeper insights from RWD and enhance the centre’s analytical capabilities. Develop, validate, and deploy AI/ML models to support RWE generation. Leverage the RWSAC's AI facility to conduct large-scale analyses and build innovative tools derived from RWD to improve clinical practice and research. Stay abreast of the latest developments in AI/ML for healthcare and ensure methodologies are cutting-edge and scientifically sound. Ensure all AI models are developed with considerations for fairness, ethics, and transparency. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics, Information Systems, or a related field. Minimum of 5 years’ experience in data engineering, data ops, or AI/ML data management, preferably in the medical and/or research sectors. Hands-on experience of building and maintaining production-grade datasets for AI/ML models. Strong analytical thinking and attention to detail. Good command of written and spoken English and Chinese (including Putonghua) Shortlisted candidates will be invited to attend a written test and/or an interview. What We Offer The appointment will commence as soon as possible on a 2-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability. A highly competitive salary commensurate with qualifications and experience will be offered. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries. How to Apply The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start from April 15, 2026 and continue until May 31, 2026, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency