| Location: | Newcastle upon Tyne |
|---|---|
| Salary: | £33,951 to £35,608 per annum, pro rata. |
| Hours: | Part Time |
| Contract Type: | Fixed-Term/Contract |
| Placed On: | 2nd October 2026 |
|---|---|
| Closes: | 16th October 2026 |
| Job Ref: | 29800 |
We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.
The Role
Newcastle University is seeking highly motivated researchers to join the RAPID (Real-time Predictive Monitoring of Particulate Flow for Industrial and Infrastructure Decision-making) project, an ambitious programme developing the next generation of intelligent railway adhesion-management technology.
RAPID is addressing one of the railway industry's most significant operational and safety challenges: the real-time prediction and optimisation of wheel-rail adhesion and sanding system performance. Working with industrial partner DB ESG, RSSB, and BrianRail, the project will advance a novel sensing and AI platform in field trials on operational railway infrastructure.
This is a unique opportunity to contribute to technology with the potential to improve railway safety, reliability and sustainability worldwide.
The successful candidate will work within a multidisciplinary team led by Dr Sadegh Nadimi.
Find out more about the Faculty of Science, Agriculture & Engineering here: https://www.ncl.ac.uk/sage/.
Find out more about our School of Engineering: https://www.ncl.ac.uk/engineering/.
Contact for the post is Dr Sadegh Nadimi: https://www.ncl.ac.uk/engineering/staff/profile/sadeghnadimi-shahraki.html.
This is a part-time position for 18.5 hours per week offered on a fixed-term basis for the duration of 9 months.
To apply please upload your CV and cover letter evidencing how your skills and experience align to the person specification outlined within job description (available on the university's website, accessed by the 'Apply' button).
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