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Algorithm Developer (KTP Associate)
Job summary
A UK university partnered with a tech firm is seeking a KTP Associate to work in algorithm development for gas emissions. The role involves collaboration with academia and industry to enhance methodologies for quantifying emissions. The successful candidate will leverage advanced gas transport models and work on-site at the tech firm. A degree in mathematics or a related field is required, along with relevant algorithm development experience. This position offers a dynamic work environment focused on innovative solutions for climate goals.
Qualifications
- Experience in developing algorithms for scientific applications.
- Strong understanding of fluid dynamics and gas transport.
- Ability to work collaboratively in a team environment.
Responsibilities
- Lead the KTP project in collaboration with Durham University and MIRICO.
- Develop new algorithms for gas emissions localisation and quantification.
- Work closely with the Digital Team on innovative solutions.
Skills
Education
Mirico is an innovative precision gas measurement company based in Oxfordshire, leveraging unique technology originally developed by RALSpace. We provide state-of-the-art laser spectroscopy solutions to accurately quantify and localise greenhouse gas emissions over large open areas enabling organisations to achieve their net-zero climate goals.
Our sensor products generate large volumes of data as they scan the environment for emissions 24 hours-per-day, 7 days a week. The measurements are processed on-board the instrument before transmission to our cloud analysis platform which leverages custom atmospheric modelling, transforming raw measurements into detailed emissions information.
Mirico believes the first step to reducing greenhouse gas emissions is to quantify them. We are working with a range of research and commercial organisations to prove, develop and perfect our technologies. We are a small, fast-paced team integrating unique hardware and software in a friendly, collaborative environment.
The KTP Associate will lead a Knowledge Transfer Partnership (KTP) project that is a collaboration between Durham University and MIRICO, based in Oxfordshire. The Knowledge Transfer Partnership (KTP) scheme helps businesses to innovate and grow through the aid of discipline specific academic expertise. It does this by linking them with an academic supervisory team and a KTP Associate in a university to work on a specific project.
Working alongside the Digital Team at MIRICO, the Algorithm developer will develop a new algorithm to enhance the localisation and quantification of gas emissions. This will involve leveraging advanced gas transport models, including advection-diffusion equations, computational fluid dynamics (CFD), and Navier-Stokes equations, to provide deeper insights into emission sources and dispersion patterns.
Successful applicants will need to be in post before 01/03/2026, with an earlier start date possible.
Responsible to: Willmore Fellow, Department of Mathematical Sciences, Durham University.
Dr Jason Schmidberger, Senior Data Scientist, MIRICO.
Location: The KTP Associate will be employed by Durham University but will be based at MIRICO, Harwell Campus, Oxfordshire, and will be expected to spend time in Durham University to undertake the partnership's objectives.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.