Research Associate (Machine Learning and Automation)

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