Address
Form of workVeterinary Medicine & Science
This is an exciting MRC-JPIAMR funded project, titled FightAMR: Novel global One Health surveillance approach to fight AMR using Artificial Intelligence and big data mining. The research fellow will take a leading role in an EU-Africa research project, collaborating with Research Organisations, Academia, and Industry in South Africa, Switzerland, France, Italy and the UK. The aim of this research is to understand the emergence, spread and transmission of drug-resistant pathogens under the One Health concept, and to use this knowledge to develop an innovative AI-powered surveillance solution. Covering all the interconnected systems humans, animals, environment and food across EU and Africa. To this aim, we will use artificial intelligence, bioinformatics, next generation sequencing and microbiology. The successful candidate will work closely with an interdisciplinary team of academics at University of Nottingham. The role will include data analysis via machine learning, bioinformatics, sequencing and microbiology.
This role is available on a Fixed term basis until 31st May 2027. Hours of work are full time (36.25 hours). Job share arrangements may be considered.
Informal enquiries may be addressed to Tania Dottorini, email: tania.dottorini@nottingham.ac.uk. Please note that applications sent directly to this email address will not be accepted.
It is a condition of this post that satisfactory enhanced disclosure is obtained from the 'Disclosure and Barring Service'.
