Senior Computer Vision Engineer Scientific Imaging

We are looking for a Senior Computer Vision Engineer to lead the two-person core computer-vision team of an X-ray inspection proof of concept for wind turbine blades: six to eight months with a path to a product. Around you: a technical lead, a project manager, shared QA, an NDT expert and a blade engineer part-time, and the acquisition partner's engineers.

The input is a single stitched X-ray image of a whole blade, tens of thousands of pixels long, delivered by the acquisition partner. Reconstruction from raw detector frames is outside the role and outside the initial scope. The first task is to find a thin, dense metal conductor inside the composite, follow it from one end of the blade to the other, and tell where it is broken. The second task is a feasibility question: evaluate whether missing adhesive or an open separation in a joint deep inside the structure produces a detectable and repeatable indication, and at what size. We expect classical image processing to be the starting point: normalising brightness across material that changes thickness by an order of magnitude, handling stitching seams, tracing a linear structure through clutter, calibrating a threshold on physical reference samples. Learned components are used only where experiments show they add value.

You do not need X-ray or non-destructive-testing experience. We teach the physics and pay for the reading time. What we need is someone who has entered an unfamiliar imaging domain before and got to a working method fast, and who can tell the difference between "the algorithm missed it" and "there is nothing in the image to find". One honest outcome of the first phase is that a defect type cannot be seen reliably; we want the person who can show why.