Research Fellow in Chemical Imaging of Additive Manufacturing

About us

University College London (UCL) UCL is a multi-disciplinary university with a population of over 13,000 staff and 42,000 students from 150 different countries. Degree programmes are provided in Arts and Humanities, Built Environment, Brain Sciences, Engineering Sciences, Education, Laws, Life Sciences, Mathematical & Physical Sciences, Medical Sciences, Population Health Sciences and Social and Historical Sciences. For more information, please visit http://www.ucl.ac.uk/about

University College London activity at Harwell

The postholder will work in the Materials, Structures & Manufacturing Group at Harwell Campus (MSM@H) led Dr. Leung and Prof. Lee. The group is based in the Research Complex at Harwell (RCaH, www.rc-harwell.ac.uk), Rutherford Appleton Laboratory (RAL), in Oxfordshire. The group’s research projects are strongly linked to the large facilities, including the European Synchrotron Radiation Facility (ESRF), Advanced Photon Source (APS), together with Diamond Light Source (DLS), ISIS Neutron Source and the Central Laser Facilities at Harwell Campus.

Please note this post is funded for three years in the first instance.

About the role

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

Your role will be developing a chemical imaging instrument for additive manufacturing (AM) machines that is capable of imaging and analysing the plume composition.

This will enable users to dynamically control and minimise the plume and defect generation during LPBF.

You will verify your findings using correlative X-ray and chemical imaging coupled with machine-learning models.

Your work will inform, validate and progress an open-source high-fidelity AM simulation that predicts multiphase interactions and the formation of imperfections during LPBF.

You will have the opportunity to work with original equipment manufacturers for AM machines as well as world-leading scientists in instrument design, X-ray and chemical imaging, machine-learning, and process simulation.

About you

The post-holder will have a PhD qualification awarded for research and extensive knowledge and expertise in laser optics, signal processing, spectroscopy, machine learning, or related field.

Ideally, you would also have experience in 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 the 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.

Please see the job description and person specification for more information.

What we offer Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more about our rewards and benefits.

Our commitment to Equality, Diversity and Inclusion

As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian, and ethnic minority backgrounds; disabled people and LGBTQI+ people.

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