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# Application Engineer (Phase Retrieval)

- **Company:** AIM Solutions
- **Location:** Eindhoven, Netherlands
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Linux, General-Purpose Computing on Graphics Processing Units, Python (Programming Language), Machine Learning, NumPy, SciPy, Pytorch
- **Published:** November 12, 2026
- **Apply:** https://www.adzuna.nl/details/5961911744

## About the Role

* About 3 years of hands-on experience in a technical role (industry, PhD, or equivalent) with imaging, optics, or scientific data analysis
 * Practical experience with phase retrieval or coherent imaging, for example ptychography, CDI, holography, or Fourier-optics-based reconstruction. You have run reconstructions and interpreted the results
 * Strong Python, with NumPy and SciPy. You write reproducible analysis code and maintain a pipeline from data ingest to results
 * An experimental mindset: you design clean numerical experiments and know what to change to improve a result
 * You work well with optics and hardware engineers and turn vague questions into repeatable tests
 * Full professional proficiency in English

Bonus:

 * Hands-on experience with computational imaging and iterative reconstructions
 * PyTorch or JAX, GPU computing
 * Numerical optimization (gradient-based methods)
 * Machine learning on physics-based or scientific data
 * HDF5 and large datasets, Linux

## Description

You turn raw measurements into reconstructed images and explain what the images tell us. You work between the optics lab and the software team, and you become our in-house expert on this workflow and upcoming applications of our machine for the semiconductor manufacturing market.

You will:

 * Run the path from measurement to result: decide what to measure, run scans on the lab setup, configure and run reconstructions in our Python/JAX pipeline, and judge the quality of the output
 * Turn test cases from industry partners into measurement and reconstruction recipes, and automate them into a single-button-press workflow
 * Analyze results rigorously and investigate when a reconstruction does not look right: artifacts, convergence, noise, alignment
 * Drive the experiment loop with the optics and hardware engineers, and feed findings back into the algorithms and the tool design