Research Fellow in Ultra-fast surface measurement sensor (fixed term)
- Closing Date
- Monday, 7th May 2018
- Job Type
- £29799 to £38833 per annum (pro-rata if applicable) depending on skills and experience. Salary progression beyond this scale is subject to performance.
Applications are invited for the above position to join the Manufacturing Metrology Team, as part of the Institute for Advanced Manufacturing, at the University of Nottingham. The Manufacturing Metrology Team conducts fundamental research to enable the next-generation of offline and online metrology tools for advanced manufacturing methods with focus on precision manufacturing and additive manufacturing. More information can be found on our website (www.nottingham.ac.uk/research/manufacturing-metrology)
The objective of this position is to develop and verify an instrument that measures surface topography, or changes in surface topography, during a machining process. The proposed instrument could be mounted into a machining or additive manufacturing operation without significantly slowing down the process, therefore, reducing the cost of many advanced products that require engineered surfaces. An electromagnetic wave will be reflected from the surface being measured and the angular scattering distribution (ASD) analysed in the far-field; a model-based machine learning solution then gives information about the surface topography or topographical changes. They key innovations in this research will be that: a) an instrument is designed to detect topographic features that are much larger than the incident wavelength; and b) ASD pattern analysis will not be model-free, but supported by 2D and 3D models of electromagnetic scattering, useful to data-mine the ASDs in the search for useful features to detect topographical changes. Industrial test case examples for machined and additively manufactured surfaces will be used to illustrate the measurements and analysis process. Whilst the majority of the theoretical modelling of the scattering will be conducted by partners at Loughborough University, the position requires a sound understanding of theoretical optics, so as to be able to interpret the model results.
Candidates must have an excellent degree in, preferably Physics or equivalent, and a PhD. Strong skills in optics and computational methods are essential, and specific experience with machine learning is highly desirable. It is also expected that the candidate will demonstrate high level communication and organisational skills and an aptitude for liaison with industrial partners.
This full time, fixed term post is available from 1 August 2018 and will be offered on a fixed term contract for 3 years.
The Faculty of Engineering was the first in the UK to be awarded an Athena Silver SWAN award, in recognition of our commitment to supporting and advancing women's careers in Engineering (STEMM). You can read more about this initiative at www.nottignham.ac.uk/engineering/athena-swan
Informal enquiries may be addressed to Prof. Richard Leach, email email@example.com. Please note that applications sent directly to this email address will not be accepted.
The University of Nottingham is an equal opportunities employer and welcomes applications from all sections of the community.