Research Associate in Software Engineering and Data Analysis for Quality Assurance in Additive Manufacturing

About the role:

Do you want to be at the forefront of the next industrial revolution? We have an exciting opportunity for you to develop software for additive manufacturing/3D Printing technology and push the frontiers of smart digital manufacturing and industry 4.0.

Additive manufacturing (AM) is revolutionising how real-world products are designed and made by enabling better performing and more efficient designs with reduced manufacturing waste, lower cost, and shorter lead times. It is a key emerging technology enabling innovation in many sectors, from clean energy to healthcare, aerospace, and automotive. However, for sectors to benefit from all AM has to offer it is necessary to demonstrate that AM parts are of the highest quality.

We are looking for a researcher with a background in data analysis and software development to join our multidisciplinary team with the aim to validate material quality on-the-fly and move towards a qualify-as-you-build paradigm where each printed part comes with a digital defect twin to assure quality.

What you would be doing:

You will be helping to develop and validate AI-powered software to provide quality assurance for additively manufacturing parts. You will be supporting the development of data pipelines, processing large data sets to interpret trends, performing statistical analysis to correlate material properties to process data and developing dashboards to visualise results. The ideal candidate should have a keen interest in supporting the development of multimodal AI for digital manufacturing.

Funded by Imperial’s UKRI Impact Acceleration Account, you will help mature this technology towards a commercially viable product and formation of a spin-out.

What we are looking for:

• You must be close to completing or hold a PhD in Computer Science, Engineering, Mathematics, Physics or a closely related discipline, or equivalent research, industrial or commercial experience.
• Highly skilled in data analysis using Python for processing of large datasets and data visualisation.
• Practical experience in a broad range of techniques including image processing (OpenCV), statistical methods, GPU acceleration, machine learning (PyTorch or TensorFlow) and/or large dataset formats (HDF5), version control (Git) is desirable.
• Transferable experience with medical imaging and/or CT datasets would be advantageous.
• Experience of frontend software development would be attractive.
• Knowledge of Additive Manufacturing and Non-Destructive Evaluation (NDE) would be beneficial.

What we can offer you:

• The opportunity to continue your career at a world-leading institution
• Sector-leading salary and remuneration package (including 38 days off a year)

Further Information (College website only)

This position is fixed term and is expected to run for up to 9 months.

Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant (£43,003 - £46,297).

If you require any further details on the role please contact:

Dr Paul Hooper – paul.hooper@imperial.ac.uk,

Hybrid working may be considered for this role. Staff working in roles that are suitable for hybrid working will normally be expected to work 60% of their time onsite. The opportunity for hybrid working will be discussed at interview.

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