Research Fellow: Correlative Imaging and Control of Additive Manufacturing Using Machine Learning

Department of Mechanical Engineering

UCL, Gower Street, London, UK

Overview

  • Posted on: 16th Dec 2021
  • Salary: £33,309 - £40,927 per annum
  • REF: 1881189
  • Closes: 31st January 2022
  • Contract Type: Fixed-Term/Contract
  • Hours: Full Time

Duties and Responsibilities

UCL Mechanical Engineering is seeking to appoint a Research Fellow to be based at Harwell Campus.

Your role will be to develop correlative imaging techniques and control algorithms for additive manufacturing (AM). Using ultra-fast synchrotron X-ray imaging and correlative optical, infrared and digital image correlation (DIC) techniques, you will develop and apply data fusion, feature Engineering, and machine learning for control and optimisation of AM processes at the microstructural level. You will work closely with academic and industrial collaborators, e.g. Rolls-Royce plc,, from the UKs Hub for Manufacturing using Advanced Powder Processes (www.mapp.ac.uk). The goal will be to develop novel materials, techniques and control algorithms that achieve highly repeatable properties in primarily metal AM components.

The position is available from January 2022 and funded for 2 years initially with a possible extension.

Key Requirements

The post holder will have a PhD qualification awarded for research and extensive knowledge and expertise in computational methods applied to correlative imaging and process control. Ideally, you would also have experience in additive manufacturing, synchrotron x-ray imaging and image analysis. Your expertise should be at a level appropriate for the conduct of research and publishing new knowledge in leading international research journals. The post-holder will need to show a high level of initiative and an ability to work collaboratively and independently. Applicants should have good team-working skills and a strong command of English. Ideally, you would have a proven track record in control theory, machine learning, correlative imaging, and image processing.

Further Details

A job description and person specification can be accessed at the bottom of the page.

To apply for the vacancy please click on the Apply Now button below.

If you have any queries regarding the application process, please contact Prof Peter Lee on Peter.lee@ucl.ac.uk.

HR enquiries about the role may be sent to mecheng.hr@ucl.ac.uk.

UCL Taking Action for Equality

Closing Date

31 Jan 2022

Latest time for the submission of applications

23:59

Interview date

TBC

This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff.

Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job.

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