Location: | Cambridge |
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Salary: | £32,546 to £35,116 per annum, pro rata |
Hours: | Part Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 25th April 2025 |
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Closes: | 9th May 2025 |
Job Ref: | PD45801 |
We are seeking a motivated and skilled research assistant to join our interdisciplinary team working on the development of a novel mathematical model to estimate water table depth in global peatlands. The successful candidate will contribute to the project through advanced image processing of the Soil Moisture Active Passive (SMAP) satellite product and the application of linear mixed-effects models and machine learning algorithms. These methods will be merged to support the derivation of an analytical equation for water table depth estimation.
The ideal candidate will have experience in image processing, statistical modelling, and machine learning. Familiarity with field data collection or related environmental sciences is highly desirable. Additionally, experience with API development and basic web design would be advantageous, as the final product will be delivered as an accessible digital tool for farmers and related researchers.
This is a unique opportunity to work at the intersection of data science, environmental modelling, and field research, contributing to a high-impact project aimed at supporting peatland management.
Fixed-term: The funds for this post are available for 6 months in the first instance.
To apply online for this vacancy and to view further information about the role, please click the 'Apply' button above.
Please notice that if you have not received any news from us 1 month after the closing date you should consider that on this occasion your application has not been successful.
Please quote reference PD45801 on your application and in any correspondence about this vacancy.
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