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Ref.: 536670 Work type: Full-time Department: Department of Pharmacology and Pharmacy (21300) Categories: Senior Research Staff & Post-doctoral Fellow Research Officer in the Department of Pharmacology and Pharmacy (to be seconded to GBAICTI as Data Scientist - Artificial Intelligence) (Ref.: 536670) 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. 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. A 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 in 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 two-year fixed-term basis, with the possibility of renewal subject to funding availability and satisfactory performance. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 15% of basic salary. Housing benefits will be provided as applicable. 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 July 9, 2026 and continue until July 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 Applications close: Jul 31, 2026 (HK Time)

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 Research Engineer (Microgrid Controller Design) will contribute to a one-year applied research project funded by the Singapore Army, focusing on the development of a mobile DC microgrid for military tactical applications. The role involves designing and implementing advanced control algorithms to coordinate multiple energy sources including battery energy storage systems (BESS), solar PV, and diesel generators, and dynamically assign grid-forming roles under varying operating conditions. The engineer will develop, simulate, and test controller logic using MATLAB/Simulink or similar environments, analyse performance across diverse scenarios, and document results for technical reporting. This position is ideal for candidates with a strong foundation in control systems, software development, and power or energy management applications. Key Responsibilities Participate in the research project to design a mobile DC microgrid controller for military tactical applications. Develop control algorithms for dynamic master selection, coordinating BESS, PV, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with the microgrid model and validate performance under different simulated conditions. Conduct testing of control strategies under various operating conditions such as extreme weather, load variation, equipment failure and deployment constraints. Prepare documentation, flowcharts, control logic diagrams, and controller specifications for the final report. Assist with procurement of software licences and technical equipment. Conduct Risk Assessments and ensure compliance with WSH regulations. Support supervision of capstone project students involved in the project. Work independently and collaboratively to maintain research software and project tools. To communicate and liaise with any internal and external stakeholders to ensure project deliverables are met. Any other ad-hoc duties assigned by supervisor. Job Requirements Bachelor’s degree or above in Electrical Engineering, Computer Engineering, or a related field from a recognised university. Strong programming skills in MATLAB/Simulink, Python, C/C++, or similar environments. Understanding of control systems, power electronics, or energy management strategies. Experience in microgrid controller design is advantageous. Familiarity with BESS control strategies, SOC management, or optimisation algorithms preferred. Support supervision of capstone project students involved in the project. Ability to implement and test algorithmic logic using simulation tools. Strong analytical, problem-solving, and debugging skills. Excellent technical writing, communication, and interpersonal skills.

Lead academic excellence in chronic care and aging at one of ߣߣÊÓƵ's leading health precincts Continuing Position with attractive renumeration package About the opportunity The Sydney Medical School is seeking to appoint an outstanding academic leader as Associate Professor or Professor of Chronic Care and Ageing within the Westmead Clinical School. This is a rare opportunity for an experienced clinician-researcher to lead and expand an internationally recognised program of research, education, and clinical innovation in chronic disease and healthy ageing within one of ߣߣÊÓƵ's largest and most diverse health precincts. The role is based at Westmead Clinical School, with a clinical academic appointment through Western Sydney Local Health District. The successful appointee will build on established strengths in frailty and ageing research, including a major frailty research register developed in collaboration with the University of Wollongong and Western Sydney Local Health District. This platform provides a strong foundation for developing interdisciplinary programs and research centres focused on chronic disease, frailty, multimorbidity, and integrated models of care. The appointee will play a key leadership role in shaping research direction, curriculum development, and the training and mentoring of the next generation of clinicians and researchers. They will foster strong partnerships across the University, health services, government, and industry to translate research into improved models of care and health outcomes. Applications are welcomed from outstanding candidates in geriatric medicine, chronic disease areas (including cardiovascular, renal, and neurological conditions), dementia, multimorbidity, and related fields. The University encourages applications from both national and international candidates. About you (skills, capabilities and experience) The successful candidate will: Hold medical qualifications registrable in ߣߣÊÓƵ and relevant specialist qualification (e.g. FRACP or equivalent). Hold a PhD or equivalent higher degree, with a strong research track record in chronic care, ageing, or related fields. Have an outstanding record of research, clinical scholarship, and teaching. Demonstrate a strong record of competitive research funding and high-quality publications. Demonstrate leadership in developing clinical research programs in chronic disease and ageing. Have experience in supervising HDR students and mentoring emerging clinician-researchers. Demonstrate proven ability to collaborate across disciplines and sectors. Provide vision and leadership in advancing models of care, prevention, and education in chronic disease and healthy ageing. Demonstrate a commitment to interdisciplinary approaches that improve outcomes for people living with complex chronic conditions, particularly older adults. Sponsorship / work rights for ߣߣÊÓƵ Visa Sponsorship and relocation assistance is available Term and remuneration The successful candidate will be offered a continuing position on a full-time basis. The appointment is subject to completion of a satisfactory probation period for new appointees. Pre-employment checks Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University's obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. Other As this position is located on an NSW Health site, it is a regulatory requirement to complete compulsory employment checks prior to starting in this position. For more information and instructions, please visit: NSW Health employment requirements EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTQIA+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an ߣߣÊÓƵn Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion. How to apply Applications (including a CV and cover letter outlining how your skills, capabilities and experience meet the requirements for the role) can be submitted via the Apply button at the top of the page. Please refer to the candidate information brochure for further details. Candidate Information Brochure For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Mushtaq Sobhan, Recruitment Operations by email to mushtaq.sobhan@sydney.edu.au © The University of Sydney The University reserves the right not to proceed with any appointment. Applications Close Thursday 30 July 2026 11:59 PM