Research Fellow

The candidate is expected to conduct research on topics at the interface of quantum information and machine-learning. The overall aim has been to improve the current state-of-the-art techniques of understanding how quantum information processing can enhance our ability to understand and process information.

Key Responsibilities:

• Publish papers in areas related to quantum information and machine learning

• Aid in supervision of FYP and PhD students on topics of quantum information and machine learning

Keys areas of research include:

• Quantum Channels

• Distributed Quantum Computation

• Black-box Quantum Computation

• Quantum Correlations and Resources

• Quantum Benchmarking

Job Requirements:

• PhD in theoretical quantum information or related field.

• Excellent verbal/written communication skills.

• Ability to communicate technique ideas to interdisciplinary scientific audiences.

• Previous experience in quantum communication channels (not compulsory but good to have)

• Previous experience in quantum resource theories (e.g., coherence) (not compulsory but good to have)

• Previous experience in quantum machine learning. (not compulsory but good to have)

• Previous experience in quantum programming (not compulsory but good to have)

We regret that only shortlisted candidates will be notified.