Algorithms Engineer / Data Analyst – (KTP Associate)

An exciting opportunity has become available to work on a 2-year Knowledge Transfer Partnership (KTP) between the University of Exeter and QLM Technology Ltd. The KTP will develop novel AI-enabled modelling capabilities to enable the quantification and location of methane emission sources from remote Lidar measurement.

The successful candidate will be employed by the University of Exeter and will spend the majority of their time working at QLM in Bristol, with occasional visits to the University of Exeter. They will be expected to work full-time. This is a hands-on role suited to someone curious about physical phenomena, passionate about environmental impact, and eager to solve complex real-world problems using data.

This project aims to establish an advanced, AI-enabled, CFD capability at QLM Technology to support both service and hardware development.

The KTP associate will develop and embed within QLM:

• The ability to undertake inverse CFD modelling to determine leakage rates from Lidar and methane images.
• Streamline and simplify CFD model setup and execution and hence simplify customer adoption.
• Enhance existing products to support QLM’s future business growth.
• Training content for QLM’s engineering team

These tools will help QLM to become a leading provider of greenhouse gas monitoring services, driving innovation and sustainability across multiple sectors.