Senior Data Scientist
Nearfield Instruments
Senior Data Scientist
Samenvatting
Wat krijg je?
Wat ga je doen?
- Leiden van ontwikkeling van geavanceerde algoritmen en ML-modellen voor beeldkwaliteit en nanoschaalmeting
- End-to-end eigenaarschap nemen van projecten van concept tot deployment
- Ontwerpen van physics-informed ML- en hybride modellen die SPM-fysica met data combineren
- Ontwikkelen van inverse-modelleringspipelines voor nanoschaalkenmerken en onzekerheidskwantificatie
- Ontwikkelen van denoising-, reconstructie- en anomaliedetectie-algoritmen voor high-throughput metrologie
Wat verwachten wij?
- PhD of MSc in physics, applied physics, electrical engineering, computer science.
- Meer dan zes jaar ervaring met data science of machine learning.
- Expertise in signaalverwerking, inverse problemen en deep learning.
- Sterke programmeervaardigheden in Python, bij voorkeur C++ en CUDA.
Volledige vacaturetekst
Nearfield Instruments brengt science en technologie samen om baanbrekende SPM-systemen te ontwikkelen voor de semiconductorindustrie. Als Senior Data Scientist werk je aan slimme algoritmes, beeldverbetering en nanoschaal metingen die direct bijdragen aan betere metrologie. Je komt terecht in een dynamische omgeving met veel ruimte voor innovatie, samenwerking, flexibiliteit en een sterke teamspirit. Lees snel verder.
Nearfield Instruments brings together the most creative minds in science and technology to develop revolutionary high-throughput Scanning Probe Microscopy (SPM) systems, enabling atom-scale resolution 3D metrology at industry-level throughput. We design, develop, integrate, market and service these advanced metrology machines for the semiconductor industry.
What will you be doing?As a Senior Data Scientist in our R&D team, you will lead the development of advanced algorithms and machine learning models that enhance image quality, extract accurate nanoscale dimensions, and improve the overall metrology solution for our customers. You will own projects from concept to deployment, collaborating with physicists, application specialists, and engineers across disciplines.
Design physics-informed ML and hybrid models combining SPM forward physics with data-driven components.
Develop inverse modeling pipelines for nanoscale feature estimation and uncertainty quantification.
Create denoising, reconstruction, and anomaly detection algorithms for high-throughput metrology.
Lead the translation of prototypes into performant C++/Python/GPU implementations for on-tool deployment with verification and testing of KPIs.
Collaborate with cross-functional teams to align algorithm design with system constraints and customer needs.
Mentor junior team members and contribute to patents and technical publications.
PhD or MSc in Physics, Applied Physics, Electrical Engineering, Computer Science, or related field.
6+ years of experience in data science or ML for instrumentation or industrial sensing; semiconductor metrology experience is a plus.
Expertise in signal processing, inverse problems, uncertainty, quantification, and deep learning.
Strong programming skills in Python, with experience in C++ and GPU acceleration (CUDA) being a plus.
Experience with MLOps, containerization, and deploying models in production environments.
Experience with 3D computational geometry, pointcloud processing, or 3D mesh processing is a plus
Excellent communication skills and ability to work in multidisciplinary teams.
Fluent in English, both written and spoken.
Besides a technically challenging role where you can utilize the full extent of your professional knowledge, we value your work-life balance and team spirit. Enjoy a dynamic environment with opportunities for growth, innovation, and collaboration. We offer competitive compensation, flexible working arrangements, and a supportive culture where Together Everyone Achieves More.
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