Research Fellow (Institute for Functional Intelligent Materials)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Institute-for-Functional-Intelligent-Materials%29/32890-en_GB/st=F923DCDEFB4320DF1FC85A222BA55AAD0F65B75F

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will have to scale up the methodology of laser printing single photon emitters in graphene/hBN heterostructures. The candidate will have to develop machine learning methodology that solves a multidimensional problem of linking printing parameters (wavelength, power and exposure time) with key performance indicators of quantum emitters, including their brightness, reproducibility of emission wavelength, and purity of quantum emission.

Job Requirement

PhD degree in materials science or physics and proven track record of expertise in the domain of quantum emitters in 2D materials