University of Cambridge

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Research Assistant / Research Associate x 2 (Fixed Term) @ University of Cambridge

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About this role

Salary: £33,002 - £35,608 or

£37,694 - £46,049

Research Associates: Mathematical and Computational Modelling of Plant Disease We are seeking to appoint two Postdoctoral Research Associates to work on mathematical and computational modelling of plant disease spread and control, as part of major European research projects addressing plant health threats.

These posts will develop advanced modelling approaches to support surveillance, risk assessment and policy-relevant decision-making for disease management.

Two complementary positions are available:

Post 1 (platform and framework development): development of a pest-generic modelling framework and decision-support tools integrating spread, trade, and intervention strategies to predict pest dynamics across the invasion pathway Post 2 (epidemiological modelling): development of spatially explicit, process-based models for vector-borne plant diseases, including model fitting and evaluation of surveillance and control strategies

Both posts involve spatial modelling, stochastic simulation and collaboration within a large European consortium.

We particularly welcome candidates with experience in, or strong interest in, process-based spatial epidemiological modelling, but this background is not necessarily required.

Candidates will be considered for both positions where appropriate.

Fixed-term until 31 August 2030. Start date: 1 September (with flexibility)

Fixed-term: The funds for this post are available until 31 August 2030 in the first instance.

To apply online for this vacancy and to view further information about the role, please click 'Apply' 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 PD50035 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Skills

Physics & AstronomyMathematicsMathematics & StatisticsEnvironmental SciencesSoftware EngineeringPhysical & Environmental SciencesAcademic or ResearchBiological SciencesAcademicHigher Education

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