Postdoc: AI for Spin-Based Quantum Sensing

Heriot-Watt University; Easter Howgate; On-site; GBP 38,000 - 47,000; Full time

Job summary

Heriot-Watt University invites applications for a Research Associate in AI Algorithms for Spin-Based Quantum Technology. The role focuses on developing real-time AI methods to autonomously optimise spin-based quantum sensors, reinforcing the Q-BIOMED hub.

The successful candidate will combine AI, Bayesian experimental design and reinforcement learning to push quantum sensing toward imaging and molecular analysis, working with a dynamic research team.

Qualifications

• PhD in CS, EE, theoretical physics or related subject.
• Strong background in probability, Bayesian inference and ML.
• Track record of numeric modelling, algorithm development and peer-reviewed publications.

Responsibilities

• Develop AI algorithms for real-time autonomous sensor control.
• Collaborate with experimental colleagues on quantum control hardware.
• Supervise students and contribute to scientific papers and conferences.
• Maintain and operate experimental facilities and liaise with collaborators.

Skills

C++

Python

MATLAB

Machine learning

Bayesian inference

Data analysis

Education

PhD in CS/EE/theoretical physics

Tools

C++

Python

MATLAB

Job description

Heriot-Watt University invites applications for a Research Associate in AI Algorithms for Spin-Based Quantum Technology. The role focuses on developing real-time AI methods to autonomously optimise spin-based quantum sensors, reinforcing the Q-BIOMED hub.

The successful candidate will combine AI, Bayesian experimental design and reinforcement learning to push quantum sensing toward imaging and molecular analysis, working with a dynamic research team.