We are seeking a Research Associate/Fellow to take a leading role in research projects related to infection and antimicrobial resistance.
The aim of this research is to understand the emergence, spread and transmission of drug-resistant pathogens in the Agri-tech/health sector (e.g. farms, environment), with a potential transfer to the human population. 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 bioinformatics and machine learning, sequencing and microbiology.
The Applicant must have a PhD (or close to completion) in Computer Science, Bioinformatics, Biology, Computational Biology, or other relevant fields. The candidate must have knowledge and experience in bioinformatics techniques and approaches particularly related to genome bilogy, in particular to analyse whole genome and shotgun metagenomics sequencing (preferable if experienced with Oxford Nanopore Technology Ltd sequencing technology) and expertise in microbiology. Research experience in applying such methods in antimicrobial resistance, metagenomics, bacterial infections would be desirable. Applicant must be able to demonstrate strong programming skills in Python, Matlab, R or other equivalent. Evidence of publications in any of the listed fields is required.