FARM WATCH: Fight AbR with Machine learning and a Wide Array of sensing TeCHnologies
Applications are invited from research scientists for the above post in the School of Veterinary Medicine and Science to join an exciting project dealing with antimicrobial/antibacterial resistance (ABR).
The successful candidate will work closely with an interdisciplinary and international team of academics and industrial partners. The project offers a unique combination of expertise in machine learning, statistical and mathematical modelling, bioinformatics, sequencing, cloud computing, microbiology, infection control, food safety, surveillance, epidemiology.
Applicants must have, or be very close to completing, a PhD in computational biology, computer science, mathematics, statistics, engineering, physics, or relevant fields. The candidate must have knowledge and experience in bioinformatics techniques and approaches, particularly related to genome biology and sequence analysis e.g. (genome assembly, sequence mapping, metagenomics, transcriptomics, and annotation).
The School of Veterinary Medicine and Science is committed to diversity and equality of opportunity. The School holds a Bronze Athena SWAN award in recognition of its commitment to equality and diversity and advance the representation of women in veterinary medicine.
This is a full time, fixed-term post from 1 May 2019 to 30 June 2021. Job share arrangements may be considered.
Informal enquiries may be addressed to Dr Tania Dottorini, email firstname.lastname@example.org. Please note that applications sent directly to this email address will not be accepted.
Our University has always been a supportive, inclusive, caring and positive community. We warmly welcome those of different cultures, ethnicities and beliefs – indeed this very diversity is vital to our success, it is fundamental to our values and enriches life on campus. We welcome applications from UK, Europe and from across the globe. For more information on the support we offer our international colleagues, visit; https://www.nottingham.ac.uk/jobs/applyingfromoverseas/index2.aspx