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Research Associate in Machine Learning Techniques for Agriscience

The University of Manchester - Science & Engineering

Location: Manchester
Salary: £32,236 to £39,609 per annum, depending on relevant experience.
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 21st February 2019
Closes: 25th March 2019
Job Ref: S&E-13501
 

Location : Sackville Street, Manchester
Faculty / Organisational Unit : Science & Engineering
Division : Electrical & Electronic Engineering
Hours Per week : Full Time
Contract Duration : from 1 March 2019 until 31 August 2020

Due to the broadening ‘smart sensors’ research in the e-Agri Sensors Centre (http://www.eee.manchester.ac.uk/our-research/research-themes/e-agri/), the group has an additional position for a Research Associate in Machine Learning Techniques for Agriscience. You will undertake research associated with machine learning-based signal / image processing techniques for agriculture applications. The aim of the initial project will be to develop a proof-of-concept of novel, machine learning-based techniques for enhanced interpretation and monitoring of plant conditions and well-being based on multispectral imaging (MSI) and to exploit their commercial potential. The project will expand the scope of current, cutting edge research in this theme at the School of Electrical and Electronic Engineering, The University of Manchester. It will enable previous research in the group to realise economic and social impact, as well as to develop intellectual property for a recently incorporated spin-out business from the University.

The projects will be in partnership with academics from other disciplines at the University and industrial scientists in the partnering agronomy companies. In addition to delivering hands-on research you will also be required to support the supervision of graduate and undergraduate students. In delivering innovative commercially focused prototypes it is expected that you will cultivate market awareness by working in partnership with industrial and academic business development professionals.

The post is available from 1 March 2019 until 31 August 2020. It is anticipated that the contract will be extended subject to the performance of the successful applicant and continued project funding.

The School is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School holds a Bronze Award for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. Appointment will always be made on merit. For further information, please visit:

http://www.manchester.ac.uk/connect/jobs/equality-diversity/awards/athena-swan/

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Enquiries about the vacancy, shortlisting and interviews:

Name: Prof Bruce Grieve

Email: bruce.grieve@manchester.ac.uk

Name: Dr Hujun Yin

Email: hujun.yin@manchester.ac.uk

General enquiries:

Email: hrservices@manchester.ac.uk

Tel: 0161 275 4499

Technical support:

Email: universityofmanchester@helpmeapply.co.uk

Tel: 0161 850 2004

This vacancy will close for applications at midnight on the closing date.

Further particulars including job description and person specification are available on the University of Manchester website - click on the 'Apply' button above to find out more.

   
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