Research Associate/Fellow (FTC)
Company
Location
Nottingham, England, United Kingdom
Posted At
8/1/2025
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Description
Area
Life Sciences
Location
University Park
Salary
£31,637 to £46,735 per annum, depending on skills and experience (minimum £35,116 with relevant PhD). Salary progression beyond this scale is subject to performance.
Closing Date
Tuesday 26 August 2025
Reference
MED199525
We are looking for a motivated research fellow for 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. 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, France, Switzerland, Italy and South Africa
Description for Internal Candidates
The school of life Sciences is looking for a motivated research fellow for 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 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.
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. 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, France, Switzerland, Italy and South Africa
This fixed term post is available initially until 31st May 2027 with the potential of further extension subject to available funding.
To apply, please submit a CV and a cover letter. Informal inquiries can be directed to [email protected]
Email details to a friend
Apply Online
Further details:
We are proud to be a Disability Confident Employer (Level 2) employer . Increasing the diversity of our community is extremely important to us and we are committed to the aims of Disability Confident Scheme.
We are the first university to have achieved Athena Swan Gold Award .
To help you succeed, we published Candidate Guidance to provide support on the application and interview process.
Discover our benefits, visit Your Benefits website.
We welcome applications from UK, Europe and worldwide and aim to make your move to the UK as smooth as possible. Visit the Moving to Nottingham page for details.
Your application will be considered on an equal basis, subject to the relevant permission to work in the UK as set out by UK Visas & Immigration .
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Life Sciences
Location
University Park
Salary
£31,637 to £46,735 per annum, depending on skills and experience (minimum £35,116 with relevant PhD). Salary progression beyond this scale is subject to performance.
Closing Date
Tuesday 26 August 2025
Reference
MED199525
We are looking for a motivated research fellow for 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. 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, France, Switzerland, Italy and South Africa
Description for Internal Candidates
The school of life Sciences is looking for a motivated research fellow for 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 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.
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. 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, France, Switzerland, Italy and South Africa
This fixed term post is available initially until 31st May 2027 with the potential of further extension subject to available funding.
To apply, please submit a CV and a cover letter. Informal inquiries can be directed to [email protected]
Email details to a friend
Apply Online
Further details:
- Job Description/Role Profile
We are proud to be a Disability Confident Employer (Level 2) employer . Increasing the diversity of our community is extremely important to us and we are committed to the aims of Disability Confident Scheme.
We are the first university to have achieved Athena Swan Gold Award .
To help you succeed, we published Candidate Guidance to provide support on the application and interview process.
Discover our benefits, visit Your Benefits website.
We welcome applications from UK, Europe and worldwide and aim to make your move to the UK as smooth as possible. Visit the Moving to Nottingham page for details.
Your application will be considered on an equal basis, subject to the relevant permission to work in the UK as set out by UK Visas & Immigration .
View All Vacancies
View Previous List
Advertise with us by contacting: [email protected]
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