Emissions Algorithms Engineer - Data Analyst (KTP Associate)
Role details
Job location
Tech stack
Job description
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 the 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.
Requirements
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, * 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, 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 process
- Interest and ability to learn the underlying physics of gas emissions, atmospheric phenomena, and sensing systems
- Understanding of scientific software development practices (version control, testing, documentation).
- Experience with spatial data, GIS tools, or atmospheric modelling is a plus.
Benefits & conditions
About The Role This full-time post is available on a fixed term basis for 24 months.
The starting salary will from £33.951 to £38,784 on Grade E, depending on knowledge, skills and experience., * A £4,000 training budget with 10% of your working time dedicated to personal development.
- A unique and challenging career opportunity, working with both industry and academia.
- For the right candidate there will be the opportunity to create an impactful and rewarding career with QLM after this project is complete.
- The successful applicant will develop a wide range of industrial and research skills for their future career, utilising the skills and knowledge of company supervisors, as well as benefitting from continuous academic support.
- The opportunity to manage and lead on a project early on in your career.
- Specific KTP residential training.
- The possibility to write academic papers and present at conferences.
- A chance to contribute directly to climate-impacting technology.
- Work with a multidisciplinary team of physicists, software engineers, and field specialists.
- Learning and development opportunities in advanced sensing, data science, and environmental analytics.