Working Student, Computational Imaging (PyTorch)

Join our Software Engineering Team

Are you excited about pushing the boundaries of machine learning for industrial X-ray computed tomography (CT)? Join us at Waygate Technologies, a global leader in Non‑Destructive Testing. We ensure safety, quality, and productivity for customers worldwide.
As part of the Industrial X‑Ray Software Engineering Team, you will design, prototype, and validate next‑generation reconstruction approaches for industrial CT systems.

Partner with the Best

At Waygate Technologies, you will join our CT‑reconstruction and algorithm team and help explore new algorithmic approaches for advanced CT imaging. Your work will focus on modern, data‑efficient neural reconstruction techniques and physics‑informed modeling. You will prototype and evaluate methods that:

·       Integrate physical models into machine‑learning‑based reconstruction workflows

·       Apply advanced optimization strategies to inverse problems

·       Use coordinate‑based neural representations (INRs) to recover images from projection data

You will work with industrial CT experts and help develop techniques that directly improve image quality in real‑world applications.

Fuel your passion

To be successful in this role, you should possess:

·       Proficiency in Python

·       Knowledge of PyTorch

·       Understanding of neural network training and optimization

·       Experience with differentiable rendering is a plus

·       C++ experience is a plus

·       Current enrolment as a student in a relevant field such as computer science, mathematics, electrical engineering, physics, or a related area.

·       Fluency in English or German.

Work in a way that works for you

We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:

·       Working remotely from home or any other work location 50% of the time

·       15-20 working hours per week, with flexibility to accommodate your academic schedule, including lectures and exams.

·       Opportunities to pursue a bachelor’s or master’s thesis in collaboration with our company following your employment as a working student.

Working with us

Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.

The Baker Hughes internal title for this role is: Intern/ Trainee/ApprenticeAbout Us:

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