29 June 2016

Interview date:  20 July 2016 

The Institute of Industrial Research (IIR) activities spans across computer science, engineering systems, and mathematics, it recognised by league tables and through national research assessment exercises. Our research ranges from the fundamental to the applied, and takes place over the full range of physical scales. Collaborations with industry and the use of national and international facilities are frequent. Our research fiscal activity from public and industrial sources during 2014/2015 was over £2.8M. As part of our strategy, our aim is to strengthen our research team currently working on condition based monitoring systems to enhance the academic side of the work, offering practical solutions to industrial and transportation problems.  These posts will involve close working with academic researchers and industrial engineers in teams who will be developing and applying concepts of statistical prediction, to be used in future prototype products and services.  Currently our project portfolio includes many Innovate UK funded initiatives, all of which will conclude with software embedded in an autonomous condition monitoring system. 

Senior Research Associate: Tyre Failure Prediction for Commercial Vehicles: – 2 year contract.

Using Artificial Intelligence techniques to process data to obtain automatic decisions, this will inform users of energy usage and failure prediction.  The candidate would probably come from a Mechanical or Computer Science background and be interested and perhaps capable of integrating uncertainty into a decision making model. The successful candidate must be educated to a PhD level in one of these areas.

The candidate will have a combination of the following proficiencies to demonstrate their suitability for the role.

·         Practical experience of the use of Artificial Intelligence and statistical prediction techniques applied to mechanica systems

·         Real–time data handling skills using techniques to retrieve and cluster raw machine data

·         A track record of research journal publications

·         A functional understanding of computer based data collection systems

·         Skilled with implementing concepts using high level computer languages (Matlab) and data base programming