Internship: Experimental Data Science in Vacuum Lab

VAT GROUP; Sankt Gallen; On-site; CHF 20,000 - 27,000; Full time

Job summary

VAT Group in Haag, St. Gallen, CH seeks an MSc intern to combine hands-on experiments with data‑driven modelling. You will plan experiments, collect and preprocess multivariate sensor data, and apply time-series ML methods to understand gas dynamics in vacuum systems.

You will learn to validate models under varying conditions and present results to engineers, contributing to semiconductor equipment research.

Qualifications

• Pursuing an MSc degree in relevant fields (data science, ML, physics, maths, mechanical/electrical engineering).
• Basic knowledge of data analysis, statistics, signal processing, or ML.
• Programming experience in Python or MATLAB.
• Interest in combining experimental work with data-driven modelling.

Responsibilities

• Assist in experimental planning and data collection in vacuum test labs.
• Develop data-preprocessing workflows for synchronization and quality assessment.
• Explore sensor data to relate signals to gas properties and process conditions.
• Implement data-driven methods for feature extraction and classification.
• Document procedures, datasets, results, and limitations, and present findings.

Skills

Data analysis

Statistics

Python

MATLAB

English

Education

MSc in data science / ML / physics / maths / mech eng / EE

Tools

scikit-learn

PyTorch

TensorFlow

MATLAB

Job description

VAT Group in Haag, St. Gallen, CH seeks an MSc intern to combine hands-on experiments with data‑driven modelling. You will plan experiments, collect and preprocess multivariate sensor data, and apply time-series ML methods to understand gas dynamics in vacuum systems.

You will learn to validate models under varying conditions and present results to engineers, contributing to semiconductor equipment research.