Applications are invited for appointment as Senior AI Specialist, to commence as soon as possible.

The appointee will join the Laboratory of Data Discovery for Health (D24H), a start-up company incorporated by The University of Hong Kong (HKU) that is led by senior faculty members of the Li Ka Shing Faculty of Medicine at HKU.  The D24H sets to play pivotal role in gathering and curating massive, unique data resources and to develop new, deep, frontier analytics in protecting global public health and improving individual healthcare through precision medicine.

 

The appointee will work in a highly motivated inter-disciplinary team to develop mobile applications, cloud computing solutions or other AI-enabled computational solutions for our health communication, healthcare and education related projects in the R&D team.

Requirements:

• Doctoral degree in Computer Science, Information Technology, Communication Engineering, Electrical Engineering, Automation, Information Management, Bioinformatics or relevant fields;
• Experienced in developing programmes using Python/Matlab/R/C/C++/Java/Javascript language;
• Experienced in developing deep Learning Frameworks, such as Tensorflow, Pytorch, etc;
• Competent in computer programming including experience in artificial intelligence or machine learning;
• Self-motivated, organised, and be able to work effectively in an interdisciplinary team; and
• Experience in mobile app development, IoT technology, or cloud computing is highly desirable.

Applicants with lower qualification or less experience may be considered for the appointment as AI Specialist.

 

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. Applicants should Apply Now and attach an application letter and a detailed resume stating the current and expected salary.

The personal data provided in your application process will be used for recruitment and other employment-related purposes, and may be transferred and disclosed to, and used by HKU Innovation Holdings Limited and The University of Hong Kong for the above purposes.

We are an equal opportunities employer and welcome applications from all qualified candidates.