Senior Algorithm Engineer (Phase Retrieval)

• Develop and maintain our GPU-accelerated computational imaging engine for phase retrieval
• Improve reconstruction quality, convergence, and robustness across varied and imperfect datasets
• Design and implement new reconstruction methods: physics-based differentiable forward models, regularization and constraint schemes for ill-posed problems, and support for new acquisition modes
• Translate methods from the literature and from our own ideas into tested, performant code
• Use physical insight into the optical system to decide how to change the algorithm so that results improve
• Profile and optimize the engine for GPU performance on large datasets

• A PhD, or equivalent research depth from industry, in a physics-heavy or numerically heavy field
• Several years developing numerical or scientific algorithms, ideally in imaging, inverse problems, or a comparable domain
• Strong numerical optimization, both gradient-based and iterative methods
• Working knowledge of Fourier optics and wave-propagation physics
• Strong Python and array programming, with experience in GPU frameworks such as JAX, PyTorch, TensorFlow, or CUDA
• You write tested, maintainable code that others can build on
• You can reason from physics to algorithm and back, and judge what will improve a reconstruction
• Technical curiosity; we will teach you the specifics of our computational imaging approach
• Full professional proficiency in English

Bonus experience in any of these:

• Phase retrieval, coherent diffractive imaging, holography, or tomography
• Physics-informed machine learning, differentiable forward models, automatic differentiation
• Regularization and constrained optimization for ill-posed inverse problems
• High-performance and GPU computing with performance profiling
• Linux development environments

This is a senior, research-to-production role. We expect a track record of taking new methods from concept to working, maintained code that runs in a real instrument.

• Ownership of the reconstruction algorithms at the heart of a tool that does not exist anywhere else yet
• Small team, short feedback loops, an open environment to have real impact
• Competitive salary for the Dutch market