Research Associate/Fellow in Machine Learning (fixed term)

Location
Nottingham, United Kingdom
Salary
£27025 to £32236 per annum, (pro rata if applicable) depending on skills and experience (minimum £30395 with relevant PhD).
Posted
Mar 05, 2019
Closes
Mar 25, 2019
Ref
MED069619
Contract Type
Full Time
Reference MED069619 Closing Date Thursday, 4th April 2019 Job Type Research Department Veterinary Medicine & Science Salary £27025 to £32236 per annum, (pro rata if applicable) depending on skills and experience (minimum £30395 with relevant PhD).
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 statistics, mathematics, computer science, computational biology, engineering, physics or relevant computational fields. Candidates must have knowledge and experience in statistical modeling, machine learning and data mining methods and algorithms for processing heterogeneous, complex large-data, including sequencing, sensor and biological data.

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 from 1 May 2019 to 31 December 2021. Job share arrangements may be considered.

Informal enquiries may be addressed to Dr Tania Dottorini, email: tania.dottorini@nottingham.ac.uk.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