My client is looking for qualified candidates with specialised and deep technical skills acquired through extensive industry experience. Pending experience, the candidate can apply for an Assistant/Manager, Senior or a Lead Professional Officer role.
The successful candidates will be part of their pool of academic staff under the Professional Officers (PO) scheme. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in the institution, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum.
Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the work study programme. Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry.
In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in the institution. With Technical Officers, laboratory safety professionals, and administrators in department, they jointly develop central policies and processes for the safe and seamless operation of laboratories in the institution.
Job Responsibilities
- Design and teach labs & practice modules.
- Mentor students in Capstone Projects and the Integrated Work Study Programme (IWSP).
- Lead or co-lead innovation projects with industry.
- Manage labs and equipment to support academic programmes and applied research.
- Ensure safety in labs
Job Requirements
- A Postgraduate Degree in Computer Science, Data Science, or a related field, or equivalent levels of industry experience.
- Proven working experience related to Machine Learning or AI, with good knowledge of industry practices and technological applications in the field. Familiarity with practical ML, including standard frameworks and libraries.
- Basic to advanced level competence in programming languages such as C/C++, Python and Java. Should be able to handle OOP.
- Good grasp and understanding of data structures, data modelling and software architecture as well as a firm competence in mathematics.
- Motivation to be involved in applied research and academic project work, with demonstrated ability in developing software solutions to technical problems.
- Proven supervisory skills and the ability to work well with others.
Interested candidates are invited to submit their MS Word formatted CV with the current and expected salary remunerations.
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