Application Engineer (Phase Retrieval)

Aim Solutions

Netherlands

On-site

EUR 60,000 - 85,000

Full time

3 days ago
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Benefits offered by this job

Ownership of workflow
Small team
Competitive Dutch salary

Job summary

Aim Solutions in Eindhoven is looking for a medior imaging scientist to own the measurement-to-results workflow in our lab-based setup. You will decide what to measure, run scans, configure and run reconstructions in our Python/JAX pipeline, and judge the quality of the output.

You will translate partner test cases into repeatable recipes, automate them into a single-button-press workflow, and analyze results to improve algorithms. Fluency in English is required.

Qualifications

  • 3 years hands-on experience in imaging, optics, or scientific data analysis.
  • Experience with phase retrieval or coherent imaging (ptychography, CDI, holography, Fourier optics).
  • Strong Python with NumPy and SciPy; reproducible analysis code and data pipeline.
  • Experimental mindset; design numerical experiments to improve results.
  • Work well with optics and hardware engineers and run repeatable tests.
  • Full professional proficiency in English.

Responsibilities

  • 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 artifacts, convergence, noise, and alignment.
  • Drive the experiment loop with optics and hardware engineers, feeding findings back into algorithms and tool design.

Skills

Python
NumPy
SciPy
Phase retrieval
Coherent imaging
Data analysis
Imaging
Optics
Experimental mindset
English

Education

PhD or equivalent

Tools

PyTorch
JAX
Linux
HDF5

Job description

Location & Type
  • Eindhoven, the Netherlands (on-site, High Tech Campus)
  • Full-time
  • Medior, about 3 years of relevant experience
About us

AIM Solutions is an early-stage deep-tech startup in Eindhoven building inspection and metrology equipment for the semiconductor industry. We are in active build phase, small, and growing.

The role
  • 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
Your profile
  • 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
What we offer
  • Ownership of the measurement-to-results workflow of a tool that does not exist anywhere else yet
  • Small team, short feedback loops, real impact on the product
  • Competitive salary for the Dutch market

We care more about rigor and learning speed than about a perfect match.

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