Research Fellow (76948-115)

Fixed Term Contract: 36 months.

We are seeking to recruit a Postdoctoral Research Fellow to work on data mining of on-board vehicle data. 

You will work under the supervision of Dr Nathan Griffiths, Prof Graham Cormode, Dr Abhir Bhalerao and Prof Stephen Jarvis on the EPSRC/Jaguar Land Rover funded project “TASCC: The Cooperative Car”. The aim of this 5 year project is to improve the driving experience and increase safety and efficiency through enhanced autonomy and cooperation. Specifically, the project will develop and apply techniques in data mining, machine learning, agent-based systems and behavioural sciences, to build cooperative software systems, and develop methods for predicting, modelling and influencing driver behaviour. 

You will possess a PhD degree in Computer Science or a closely related discipline (or you will shortly be obtaining it). You will contribute to the creation of data mining and prediction models from on-board vehicle data and/or the development of sketch techniques and algorithms for data summarisation. You should have a strong background in one or more of the following areas:

• Data mining.


• Machine learning.


• Signal processing.


• Signal selection, feature extraction and/or feature selection.


• Mining/analysis of vehicle telemetry data.


• Real-time machine learning.


• Mining/analysis of geo-spatial data.


• Dimensionality reduction, sketching or compression.


• Time series analysis.


• High dimensional data analysis.


• Collection and analysis of physiological data (e.g. EDA, HRV, EEG).

You should have excellent programming abilities, and good written and verbal communication skills to enable you to communicate effectively with the project partners and contribute to writing scientific articles. 

This position involves creation of data mining and prediction models that support a new class of intelligent vehicle features using in-depth knowledge of occupant and vehicle data. Analysing high-dimensional data, applying real-time classifiers, and contending with concept drift, to create accurate pattern-of-life analysis using categorical and navigation data. This will involve development of signal selection, feature extraction and feature selection techniques; development of pattern-of-life/behaviour prediction and modelling methods; modelling and predicting vehicle usage patterns; modelling driver cognitive load and persona using vehicle and physiological data. 

Candidates should provide with their application form, a CV and list of publications. Informal enquiries to Nathan.Griffiths@warwick.ac.uk are welcome. 

Start date is expected to be January/February 2016, but this is subject to negotiation.