Research - KTP Associate

About The Role

Algorithms Engineer/Data Analyst - (KTP Associate)

This full-time post is available from 1 September 2026 on a fixed term basis until 31 August 2028. 

The starting salary will from £33,951 to £38,784 on Grade E, depending on knowledge, skills and experience.
 
The Role

Environment, Science and Economy

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 he University of Exeter. you will be expected to work fulltime. This is a hands-on role situated to someone curious about physical phenomena, passionate about environmental impact, and eager to solve complex real-world problems using data.
 
Company Information:

QLM Technology develops cutting-edge quantum laser imaging solutions for greenhouse gas detection and monitoring. The company’s mission is to provide accurate, scalable, and cost-effective tools to help industries measure, manage, and mitigate methane emissions—enabling a cleaner, more sustainable future. We are growing our data and algorithms capability and are seeking a motivated Algorithms Engineer/Data Analyst to join our team in Bristol. More information about QLM Technology Ltd can be found at: https://qlmtec.com/ 

About You

Qualification / skills we require:

• Advanced degree (Masters minimum) in a technical subject, e.g. Mechanical Engineering, Physics, Applied Mathematics or equivalent relevant experience or a closely related field.
• Excellent communication skills (both written and oral) with ability to communicate complex and conceptual ideas to a range of people.
• Good communication skills, especially in explaining technical concepts to mixed audiences.
• Computational Fluid Dynamics and other computer-aided design and analysis tools
• Experience in machine learning, AI and neural networks.
• Familiar with MatLab, Python and Linux.
• Proficiency in Python, including data science libraries (NumPy, SciPy, Pandas, scikit-learn, matplotlib/Plotly)
• Skilled in software programming for modelling, instrument control, data analysis, and processing
• Strong analysis and problem-solving skills.
• Strong analytical skills and ability to draw insight from complex real-world datasets.
• Interest and ability to learn the underlying physics of gas emissions, atmospheric phenomena, and sensing systems.
• Ability to collaborate effectively within a multidisciplinary team environment.
• Capacity to become a strong project manager, taking on the leadership of a strategic innovation project.
• Understanding of scientific software development practices (version control, testing, documentation).
• Experience with spatial data, GIS tools, or atmospheric modelling is a plus.
• Exposure to laser-based sensing, optics, or electronics beneficial but not essential.

Please ensure you read the Job Description and Person Specification for full details of this role. 
 
Further information

Please contact insert Prof Gavin Tabor, g.r.tabor@exeter.ac.uk university of Exeter or Dr Xiao Ai - xiao.ai@glmtec.com at QLM Technology Ltd. 

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