Project Engineer (110132-0225)

For informal enquires please contact Jay Warnett (Associate Professor - Reader) j.m.warnett@warwick.ac.uk.

The CiMAT (Centre for Imaging, Metrology and Additive Technologies) team at University of Warwick seeks a creative and motivated research fellow in the area of deep learning for (X-ray) image processing.

The appointment is currently until 31 March 2027 (independent of start date), with a view to extend for an additional year dependent on successful project outcomes.

X-ray Computed Tomography (XCT) has been used in industry from the last few decades for materials development, assessment of manufacturing processes by identifying defects and porosity and creating next generation batteries.

It has been popularised given its ability to see inside of objects without sectioning, but its use is limited given the typically long acquisition times.  

The overall aim of the project is to decrease image acquisition speed by acquiring less/noisier data, but still achieve a useful reconstructed image by employing a suite of AI/machine learning tools with limited impact on the task dependence.

Specifically, the successful candidate will develop models and methodologies to

• Upscale existing projection datasets by creating synthetic X-ray projections.
• Apply AI denoising techniques at acquisition of projections and post reconstruction.

Assess the impact against the task dependence of real datasets

We will consider applications for employment on a part-time or other flexible working basis, even where a position is advertised as full-time, unless there are operational or other objective reasons why it is not possible to do so.  

Candidates should have experience in AI and machine learning tools including PyTorch/TensorFlow, and image processing including segmentation.

There is no requirement for previous experience in X-ray image acquisition or reconstruction, with sufficient training provided, but any experience with medical or industrial imaging would be advantageous.

The team is well equipped with high-end workstations with 1Tb RAM and 4090 GPUs, and a 4-8 GPU server for more complex tasks.

The University of Warwick is part of the National Facility in X-ray CT and hosts five X-ray CT scanners for a multitude of requirements, from large dense metallic parts such as cylinder heads to materials distribution in alloys at 100’s of nm.

For further information regarding the skills required for this role please see the personal specification section of the attached job description.

CLOSING DATE: Thursday 06 March 2025 at 11.55 pm

Full details of the duties and selection criteria for this role can be found in the vacancy advert on the University of Warwick's jobs pages. You will be routed to this when you click on the Apply button.