AI-Driven Quantum Sensing Research Associate

Heriot-Watt University; City of Edinburgh; On-site; GBP 38,000 - 47,000; Full time

Benefits offered by this job

Flexible working patterns

Total rewards calculator access

33 days annual leave

Job summary

Heriot-Watt University invites applications for a Research Associate in “AI Algorithms for Spin-Based Quantum Technology” to develop real-time AI methods for autonomous optimisation of spin-based quantum sensors. The role is a fixed-term 24-month, Grade 7 post in Edinburgh, located within the Quantum Photonics Laboratory.

The successful candidate will implement Bayesian experimental design, reinforcement learning and Bayesian inference to push quantum sensing towards transformative applications

Qualifications

• PhD in computer science, electrical engineering, theoretical physics or related subjects (or expected to be awarded soon).
• Strong foundation in probability theory, Bayesian inference and machine learning.
• Experience with programming for data acquisition and analysis in C++/Python/MATLAB.

Responsibilities

• Develop robust multi-parameter quantum sensing protocols based on reinforcement learning.
• Collaborate with experimental colleagues on implementing protocols on quantum control hardware.
• Protect intellectual property and explore near- and long-term market applications.
• Conduct scientific analysis, prepare papers, and present results at conferences.

Skills

Probability theory

Bayesian inference

Machine learning

Oral communication

Teamwork

Education

PhD in CS/EE/Physics

Tools

C++

Python

MATLAB

Job description

Heriot-Watt University invites applications for a Research Associate in “AI Algorithms for Spin-Based Quantum Technology” to develop real-time AI methods for autonomous optimisation of spin-based quantum sensors. The role is a fixed-term 24-month, Grade 7 post in Edinburgh, located within the Quantum Photonics Laboratory.

The successful candidate will implement Bayesian experimental design, reinforcement learning and Bayesian inference to push quantum sensing towards transformative applications