The research associate will be working on machine learning (ML) models and automation for optimizing optical setups at the centre. The key job responsibilities are listed below:

• The research staff is expected to work with the PI and other team members for doing R & D and take key role for the automation of the systems for bioimaging and metrology

• Implement computer vision and machine learning, deep learning techniques for real-time diagnostics.

• Conduct and coordinate research within NTU and collaborating partners in line with its research strategy under the supervision of the PIs and collaborators

• Publish research outcomes in journals of international standing; Attend and present research findings and papers at academic meetings and contribute to the external visibility of the centre.

• Draft research reports for PIs and undertake specific roles and management functions as may be reasonably required by the PIs.

Requirements:

• Master in Robotics, Automation, Data science, Mechanical Engineering, Precision Engineering, Electronics Engineering, Physics or a similar discipline with optics and instrumentation background

• Previous experience in machine learning, automation, and optics are desirable

• Possess good programming and automation skills (e.g. C++, MATLAB, Python, LabVIEW, Arduino, Raspberry Pi or FPGA-based controllers)

• Expertise in developing robotics and motion control systems is beneficial

• Proven publication track record would be an advantage

• Expertise in optical instrumentation would be an advantage (e.g. Zemax, TracePro, Virtual Lab, OSLO, MATLAB, Python, ImageJ)

• Proficiency in written and spoken English for research work.

We regret to inform that only shortlisted candidates will be notified