Plant and Soil Modeller
Organisation:
Cranfield UniversityFaculty or Department:
Faculty of Engineering and Applied SciencesBased at:
Cranfield Campus, Cranfield, BedfordshireHours of work:
37 hours per week, normally worked Monday to Friday. Flexible working will be considered.Contract type:
Fixed term contractFixed Term Period:
For 12 monthsSalary:
Full time starting salary is normally in the range of £37,897 per annumApply by:
10/05/2026Role Description
We welcome applications from passionate, skilled, committed prospective plant and soil modellers to contribute to a multi-partner international project ‘Climate-resilient crops with improved phosphorous efficiency through beneficial fungal interactions’.
About the Role
In many parts of the world, excessive use of phosphorous (P) fertilisers in agricultural soil has led to large-scale contamination of the environment. On the other hand, in other areas, P-deficient soils and poor access to fertilisers present a major constraint to crop production. Warmer, drier conditions resulting from climate change will exacerbate these problems, as low soil moisture reduces plant-availability of P. In natural systems, most plants rely on root symbioses with mutualistic mycorrhizal fungi for efficient P uptake. These interactions remain active in major crop species. However, the delicate balance between plant and fungal partner is far from optimised for both intensive and less intensive agricultural systems.
In the project to which this role will contribute, we will characterise plant genetic mechanisms that coordinate the interaction of mycorrhizal fungi with plant P and water status, the development of the root system, and the broader community of soil microbes. With partners at Cambridge University, and in Germany and the US, we will work from the scale of the single gene to field evaluation to define a framework for rational optimisation of plant-mycorrhizal symbioses for more efficient P use in agriculture. The modelling component will involve combining existing models of root system growth, rhizosphere processes and P uptake developed by the project partners and developing new models of the effects and costs of mycorrhizal symbioses.
About You
You will be educated to doctoral level in a relevant subject and have experience of research in plant and soil science, using both qualitative and quantitative methods. You will have some experience in mathematical modelling and basic-level programming, but our main requirement is for someone who will understand the plant and soil science behind the project and be able to translate that into models using the results of the experimental working. You will have excellent oral and written communication skills, and the ability to collaborate across disciplines.
About Us
As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here.
The Environmental Sustainability Theme combines research groups with more than 50 years of experience in the challenges of sustainability, natural capital management and future food systems. It includes the Centre for Soil, Agrifood and Biosciences, which has expertise in soil, plant and microbial systems across scales, with the Cranfield Environment Centre, which has expertise in environmental informatics and modelling and is the UK National Reference Centre for soil.
How to apply
For an informal discussion about this opportunity, please contact Professor Guy Kirk, Professor of Soil Systems, on (E): g.kirk@cranfield.ac.uk
Please do not hesitate to contact us for further details on E: peoplerecruitment@cranfield.ac.uk. Please quote reference number 5271.
Closing date for receipt of applications:10 May 2026
Please note that we reserve the right to close this advert prior to the stated closing date should we receive sufficient numbers of applications. Therefore, we would encourage you to complete and submit your application as soon as possible.
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