Research Assistant (carrying a title of Software Engineer), Institute for Innovation, Translation and Policy Research

INSTITUTE FOR INNOVATION, TRANSLATION AND POLICY RESEARCH

The Institute for Innovation, Translation and Policy Research (ITPR) is set out with the vision to support the University in pioneering innovation, technology translation, and innovation policy development. With the mission to drive strategic alliances, collaborations, multidisciplinary research and development and their applications, ITPR consists of three sections, namely Innovation and Entrepreneurship (I&E), Technology Translation (TT), and Policy Research (PR), which will provide all-rounded business development, scientific, and policy research support for the University to respond to the challenges and opportunities worldwide and also specifically under the aegis of the Hong Kong SAR Government’s top policy priority on innovation and technology development.

Reporting to the Principal Investigator or his/her delegate, the candidate will station at an off-campus office located at the Hong Kong Science and Technology Parks and be responsible for implementing AI-driven solutions into an Android system designed to support the Chinese medicine four diagnostic methods.

Research Assistant (carrying a title of Software Engineer) (24250084)

Responsibilities:

Mobile Application Development

• Design, develop, and maintain Android applications that integrate AI-driven diagnostic tools;
• Collaborate with cross-functional teams to define, design, and deploy new features; and
• Ensure performance, quality, and responsiveness of applications.

AI Model Integration and Deployment

• Create and train the AI model using relevant data;
• Ensure the model is efficient and suitable for deployment on mobile devices;
• Convert the trained model into a format that can be used on Android (e.g. TensorFlow Lite for TensorFlow models);
• Embed the AI model into the Android application code, ensuring it can interact with other parts of the app; and
• Ensure the model works correctly within the app and performs as expected on mobile devices.

User Interface and Experience

• Design intuitive and user-friendly interfaces that enhance the diagnostic experience for healthcare providers and patients; and
• Conduct user testing and gather feedback to continuously improve the application.

Collaboration and Communication

• Collaborate with multidisciplinary teams, including traditional Chinese medicine experts, data scientists, and software developers; and
• Participate in code reviews and contribute to the improvement of development processes and standards.

Requirements:

• A bachelor’s or master’s degree in Computer Science, Software Engineering, or a related field;
• Proven experience in developing Android mobile applications with a strong portfolio of released applications;
• Knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch) and integrating machine learning models into mobile applications;
• Proficiency in programming languages, such as Java and Kotlin;
• Strong understanding of mobile UI/UX design principles;
• Excellent problem-solving skills and attention to detail;
• Strong communication and teamwork skills;
• Experience in cloud services and API for healthcare or medical mobile applications and continuous integration and deployment (CI/CD) practices will be an advantage; and
• Knowledge of traditional Chinese medicine principles and diagnostics will be considered a plus.

Salary will be commensurate with qualifications and experience.

Application Procedure:

Applicants are invited to submit their applications at the HKBU e-Recruitment System. Those who are not invited for interview 8 weeks after the submission of applications may consider their applications unsuccessful. Details of the University’s Personal Information Collection Statement can be found at  https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy.

The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer.

Review of applications is ongoing until the position is filled.