Scientist (IMRE)

Roles & Responsibilities

The National Quantum Federated Foundry (NQFF), hosted at the Institute of Materials Research and Engineering (IMRE), part of the Agency for Science, Technology, and Research (A*STAR), is looking for a research scientist who is experienced in optics / photonics. The successful candidate will be part of a team of research scientists and engineers working on device hardware for quantum technologies, including integrated photonics chips, photodetectors, lasers, quantum light sources, and so on. The work in NQFF will support local and international efforts to develop and translate quantum technologies to realize exciting real-world applications.

The roles of the successful candidate will include partly or wholly depending on experience:

• Design and fabricate integrated quantum photonic devices
• Construct optoelectronic measurement setups for device testing
• Characterize fabricated devices and perform nonlinear/quantum optics experiments
• Analysis and presentation of scientific data

Job requirements:

• PhD degree in physics, applied physics, electrical engineering, material science & engineering, mechanical engineering, or any other relevant disciplines.
• Experience in experimental optics and photonics, especially in integrated photonics devices and quantum/nonlinear optics
• Familiarity in characterization of photonics devices, including laser systems, photonic probe stations and test setups, and the measurement of quantum light
• Experience in micro/nano-fabrication is a bonus
• Ability to program (especially Python) lab equipment for testing automation
• Ability to independently plan and execute research work
• Ability to communicate well and work closely with team members

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Tell employers what skills you have

Machine Learning
Applied Physics
Big Data
Hardware
Physics
Mathematics
Data Mining
SQL
Characterization
Python
Optics
Statistics
Data Science
Experience Design
Electrical Engineering
Mechanical Engineering

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