University of West Florida

Job Purpose The Research Fellow / Research Engineer (with focus on Data Analytics and Digital Dashboards) will support applied research and innovation in community and allied health by turning clinical, operational and service data into practical analytics outputs, digital dashboards, KPI trackers and evidence reports. The role focuses on hands-on data analytics, project coordination and implementation support for community care projects. This role is focused on Data Analytics and Digital Dashboards. The candidate should have good project-management discipline and experience coordinating projects or workstreams with clear outcomes delivered. The Research Fellow / Research Engineer will support academic staff and project leads, and contribute his/her assigned share to team-level KPI targets through timely and usable analytics outputs. Key Responsibilities Applied Research & Development Perform clinical needs assessment and workflow analysis for organisational innovation transition, focusing on but not limited to the community and aged care sector, including nursing homes, hospitals, home-based care, and palliative care settings. Develop healthcare solutions and innovation roadmaps for organisational transition, focusing on but not limited to long-term bedridden patient care, caregiver workload reduction, and care automation. Develop and execute healthcare innovation projects by conducting experiments, data collection, and analysis for Proof of Concept (POC) and implementation for organisations in, but not limited to, the community care sector, and simulated environments within SIT and / or the Living Lab. Industry Collaboration Support collaborations with industry partners to understand problem statements and contribute to solution development. Assist in project scoping by gathering technical inputs and identifying relevant capabilities within the ecosystem (IHLs, research centres, industry partners). Participate in industry meetings, discussions, and project engagements. Project Execution & Support Assist Professional Officers, faculty and project leads in planning, coordinating and executing assigned project workstreams, including timeline tracking, documentation and follow-up on deliverables linked to the committed KPI areas: service volume, innovation initiatives, value capture, manpower training and ecosystem establishment. Generate technical reports, presentations, dashboards, project trackers, and documentation on the development, validation, deployment, and value capture of healthcare solutions and applications. Contribute to grant proposals and project submissions where required. Track project progress and maintain proper documentation of milestones, deliverables, risks/issues, partner inputs, funding status and measurable outcomes for assigned projects. Support the IaaS Center for Community and Allied Health Innovation in achieving team-level KPI outcomes through assigned analytics, documentation and project support tasks. Contribute to assigned analytics workstreams and projects, including data analytics projects and digital dashboard development for industry partners, hospitals, aged care homes, and non-profit organisations, encompassing proposal development, partner engagement, analytics scoping, and project documentation. Coordinate assigned workstreams within the team's innovation portfolio, supporting the delivery and deployment of new or improved products, processes, and services to healthcare and community organisations, while monitoring implementation, adoption, and analytics evidence to support value-capture documentation. Support training, demonstration, and workshop delivery for company employees and healthcare professionals, contributing to the team's capability-building and knowledge-transfer goals. Role-specific skill focus — Data Analytics and Digital Dashboards: clean, structure, analyse, visualise and report health/service data; develop dashboards, KPI trackers and management reports; support evidence for KPI and project-outcome reporting, including outreach to companies and/or healthcare providers; and translate data insights into practical recommendations for Professional Officers, faculty, project leads and healthcare partners. Job Requirements Bachelor's degree with 5+ years experience OR Master's degree with 2+ years experience in Nursing, Health Sciences, Biomedical Engineering, Clinical Research, or a related field or related disciplines with relevant experience in research, engineering, product development, or healthcare innovation related work. Strong knowledge and experience in clinical workflows, particularly in hospitals, nursing homes, home-based care, palliative care settings and other community care settings. Hands-on experience in clinical validation studies, including patient needs assessment and usability testing, is highly advantageous. Possess understanding of healthcare innovation concepts (e.g., commercialisation, care automation, health economics). Strong analytical skills and attention to detail. Excellent written and verbal communication skills. Resourceful, meticulous and problem-solving attitude. Experience supporting or coordinating industry or applied research projects, preferably involving healthcare, community care, aged care, allied health, digital health, clinical workflow optimisation or healthcare innovation solutions. Ability to document project outputs, implementation progress, stakeholder benefits and other measurable outcomes for assigned work. Experience supporting project proposals, funded projects or partner engagements will be advantageous. For this Data Analytics and Digital Dashboards role, relevant experience in data analytics, dashboard development, business intelligence, data visualisation, health/service data management, KPI tracking, data cleaning, statistical or operational reporting, or equivalent analytics tools and methods is required. All Research Fellow / Research Engineer must possess project-management skills and experience managing or coordinating projects/workstreams with good outcomes delivered, including scope, timeline, stakeholder coordination, risk/issue tracking and documentation. Key Competencies Possess understanding of healthcare challenges faced by industries locally and globally, particularly in the community and aged care sectors. Strong interpersonal and communication skills to communicate effectively with industry partners and stakeholders. Ability to work collaboratively in a cross-functional and multidisciplinary environment. Proactive approach to continuous learning and development in the healthcare innovation field. Proficient in technical writing and presentation. Possess good analytical and critical thinking skills. Shows good initiative and takes ownership of work undertaken. Project management skills, including planning and execution of healthcare innovation projects. Project-management discipline to support assigned workstreams, monitor timelines and dependencies, escalate risks, and complete agreed tasks that contribute to team targets. Outcome orientation, with ability to document project outputs, stakeholder benefits, implementation progress and individual contribution within a team-based delivery model. Capability in data analytics and dashboards, including data cleaning, data structuring, analysis, visualisation, dashboard development, KPI tracking and preparation of concise reports. Ability to coordinate stakeholders, monitor timelines and risks/issues, and deliver assigned project outcomes with clear documentation. Ability to work as part of a coordinated delivery team, with clear documentation of assigned analytics outputs and project outcomes toward the overall KPI commitments.

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.

Ref.: 536713 Work type: Full-time Department: Faculty of Business and Economics (07030) Categories: Professoriate Staff Research Assistant Professor in Finance in Faculty of Business and Economics Applications are invited for appointment as Research Assistant Professor in Finance in the Faculty of Business and Economics (Ref.: 536713), to commence on September 1, 2026, or as soon as possible thereafter for one year, with the possibility of renewal subject to satisfactory performance. Applicants should possess a Ph.D. in finance or a related business discipline, and demonstrate strong potential for high-quality research in areas such as disclosure, capital markets and ESG. The appointee is expected to engage in high-quality scholarly research and teaching, and should be capable of teaching at the undergraduate and/or postgraduate levels. Prior teaching experience at the undergraduate and/or postgraduate level will be an advantage. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online applications for this post. Applicants should apply via the University’s career site (https://jobs.hku.hk) and upload an up-to-date CV. Review of applications will commence as soon as possible and will continue until July 2, 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 2, 2026 (HK Time)