Machine Learning and Mathematical Optimisation Researcher (KTP Associate)

Job Reference : HUM-13217
Location : 365 Response Ltd
Closing Date (DD-MM-YYYY) : 20/02/2019
Salary : £32,236 to £39,609 per annum (according to relevant experience) plus £5,000 personal development budget
Employment Type : Fixed Term
Faculty / Organisational Unit : Humanities
Division : Management Sciences and Marketing (MSM)
Hours Per week : Full Time
Contract Duration : Immediately for 30 months from agreed start date

This is an exciting opportunity for an ambitious graduate with the ability and confidence to manage a Knowledge Transfer Partnership (KTP) project with 365Response.  

The University of Manchester and 365Response are looking to recruit a Research Associate/Postdoctoral Researcher to undertake this 30 month project which has an overall aim of developing new tools to improve transport flow and resource utilisation across health and care to improve quality of care for service users and efficiency for providers.

The position will provide you with a unique opportunity to lead the transfer of knowledge from the University of Manchester through to the health & care industry, the development of novel algorithms that tackle transportation problems in health & care and their implementation in 365Response software platform.

You will require a recently-obtained minimum of a 2:1 degree (or equivalent) and a PhD in a subject related to machine learning and/or mathematical optimisation (e.g., Computer Science, Physics, Engineering, Applied Mathematics, Business Analytics, Operations Research, Business Engineering, Data Science, Data Analytics, Artificial Intelligence, etc.),

This post is funded through a Knowledge Transfer Partnership (KTP) award, a UK Government scheme intended to promote sustained and mutually beneficial relationships between universities and industry. 

Position is based at 365 Response Ltd, Unit 6 Benton Office Park, Benton Avenue, Horbury, Wakefield, WF4 5RA, you will work directly with supervisors from both the University and 365 Response Ltd and will use the facilities and resources of both organisations. 

As an equal opportunities employer we welcome applicants from all sections of the community regardless of gender, ethnicity, disability, sexual orientation and transgender status.  All appointments are made on merit.

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

Enquiries about vacancy shortlisting and interviews:

Name: Dr Manuel López-Ibáñez.


Technical support:


Tel:      0161 850 2004

General enquiries:


Tel:      0161 275 4499

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

Further Particulars and Job Description



This position is now closed. We are no longer accepting applications for this position.