Algorithm Developer (KTP Associate)
| Dyddiad hysbysebu: | 17 Rhagfyr 2025 |
|---|---|
| Cyflog: | £41,064 i £46,049 bob blwyddyn |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 16 Ionawr 2026 |
| Lleoliad: | Durham, County Durham, DH1 3LE |
| Cwmni: | Durham University |
| Math o swydd: | Cytundeb |
| Cyfeirnod swydd: | 25001803_1765987187 |
Crynodeb
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 Project
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.
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