Seeking a highly motivated student to contribute to an interdisciplinary project on probabilistic modelling of antimicrobial resistance (AMR) across environmental systems. This a great opportunity to gain research experience alongside your studies.
The role would suit candidates with:
-
Strong computational skills (e.g. Python, R, or similar)
-
A solid foundation in probability, statistics, or stochastic processes
-
Confidence in running and adapting simulations
Experience with modelling, Bayesian or network-based approaches, or uncertainty analysis would be beneficial, but is not essential.
What to expect from the role:
-
You will be working on an existing model where some initial development has already been carried out
-
Building on and refining the current model, rather than starting from scratch
-
Running simulations, testing robustness, and exploring different scenarios
-
Interpreting results and contributing to discussions within a multidisciplinary team
-
Working independently and managing your time effectively
You will be joining an ongoing project and contributing to model refinement, robustness testing, and scenario analysis, while working within a supportive and multidisciplinary team led by Graziella Iossa.
This is a great opportunity to gain hands-on experience in applied modelling, develop your research skills, and work on a topic with real-world impact.
If you are interested, please get in touch with [email protected].
Please ensure that you submit your CV with your application.
