Research Fellow in Software Development for Innovative Quality Engineering - FAC0137-1

Brunel University London - College of Engineering Design and Physical Sciences National Physical Laboratory – Data Science Group

Salary (R1-PhD. 30-36): £32,004 to £38,183 pa plus pro-rata London Weighting (£2,166)

Full-Time, Fixed Term (48 months)

Applications are invited for a full-time Research Fellow to conduct collaborative research in quality engineering and smart technology, as part of a research collaboration between the National Physical Laboratory (NPL) and Brunel University London (BUL).

Brunel University London are supporting the development of the interdisciplinary research Institute of Innovative Quality Engineering and Smart Technology (I2QUEST). The I2QUEST is an international Industry - University - Research innovation platform, recently launched with Sichuan Mingxin Investment Group (SMIG), supported by Chengdu High-tech Zone, with its vision to be a world leading Centre of Excellence in innovative quality engineering and smart technology. The I2QUEST has received an investment of about £2.4m for Phase I projects and a total investment of £20m for further research with participations of more academic and industrial partners. Its mission is to help industries and businesses to innovate and improve the quality of their products, processes and services through promoting the best quality engineering practices and providing smart system solutions.

This post is fixed term for four years from the date of appointment and is planned to begin in October 2017.

This post will focus particularly on the software development for innovative quality engineering. The fellow will develop advanced software tools for evaluation of measurement uncertainty and quality engineering management. In addition, the fellow will work closely with NPL in the development of meta data models for measurement systems and Bayesian tools for quality engineering and smart applications.

The fellow is expected to travel to China occasionally and will play an important role in establishing and developing collaborative relationships between BUL/NPL and SMIG. S/he will also participate in related activities, including industrial consultancy, grant applications, conferences, as well as other occasional duties such as administration or teaching.

The fellow is required to have received the degree of PhD (or soon to be awarded) in an appropriate discipline such as computer science, software engineering, data science, metrology and industrial engineering. Applicants are expected to demonstrate good knowledge in evaluation of measurement uncertainty, quality engineering management tools and Bayesian method. The successful candidate should have good programming skills in Python, Matlab, VBA, JavaScript and C. Knowledge of cloud computing and/or IOT will be desirable. Also essential are excellent research skills and a proven track record in conducting high quality research (as evidenced by publications in peer reviewed journals).

For an informal general discussion regarding the above post, please contact Dr QingPing Yang (QingPing.Yang@brunel.ac.uk) or Prof Alistair Forbes (Alistair.Forbes@npl.co.uk)

Closing date for applications: 10 October 2017

For further details and to apply please visit careers.brunel.ac.uk

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