UNIVERSITY OF MANCHESTER

Research Scientist in Machine Learning and Artificial Intelligence

1 day left

Location
Manchester, United Kingdom
Salary
£32,236 to £39,609
Posted
18 Sep 2018
End of advertisement period
22 Oct 2018
Ref
S&E-12726
Contract Type
Fixed Term
Hours
Full Time

Location : Manchester
Closing Date : 22/10/2018
Salary : £32,236 to £39,609 per annum depending on relevant experience plus a Personal Development Budget totalling £4000
Employment Type : Fixed Term
Faculty / Organisational Unit : Science & Engineering
Division : Computer Science - Machine Learning and Optimisation
Hours Per week : Full time
Contract Duration : As soon as possible until 30 September 2020

This is an exciting and unique opportunity for an ambitious recent PhD graduate or post-doctoral Research Scientist with the ability and confidence to manage a strategically important Knowledge Transfer Partnership (KTP) project with Kalibrate Technologies Limited. As a market leader in fuel pricing and network planning technologies, Kalibrate develops and delivers strategy and technology solutions to drive greater value from the fuel and convenience retail chain.

Today, the automotive industry is going through its biggest transformation from combustible engines to vehicles that run on alternative fuels. The leading alternative fuel within this industry is electric charging. With this evolution underway, this KTP project creates a distinguishing and exciting opportunity for you to develop a new generation of scientific methods to fill in the technical and market gap needed for the infrastructure development and deployment of electric vehicle charging facilities; From an individual professional development point of view, this project provides a rare and unique opportunity for you to become the first generation of experts within the new car energy retail market.

We are looking to recruit a Research Scientist to undertake this 24 month project which has an overall aim of developing and embedding machine learning and artificial intelligence techniques to create predictive network planning and location selection models capable of determining optimal infrastructure needs for electric vehicle charging facilities, based on projected demand.

The position will provide you with a unique opportunity to develop and apply state-of-the-art machine learning and artificial intelligence techniques methods to address a cutting edge business problem which has a high level of commercial applicability. You will play a vital role in introducing new computational and decision analysis techniques to support strategically important future business development.

The position is particularly suitable if you want to bridge academic and industrial research excellence. You will be part of a collaborative development and knowledge-transfer project between The University of Manchester and Kalibrate. You will not only receive formal management training but will also have access to a £4,000 personal and professional development budget.

Based at Kalibrate Corporate HQ on Deansgate in Manchester, the successful candidate will work directly with supervisors from both the University and Kalibrate 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 the vacancy, shortlisting and interviews:

Name: Dr Xiao-Jun Zeng or Dr Tingting Mu

Email: x.zeng@manchester.ac.uk tingting.mu@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