Internship - Experimental Data Science for Gas Sensing and Time-Series Analytics

VAT GROUP; Sankt Gallen; Vor Ort; CHF 20.000 - 27.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Data analysis

Statistics

Python

MATLAB

English

Ausbildung

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

Tools

scikit-learn

PyTorch

TensorFlow

MATLAB

Jobbeschreibung

About VAT Group

At VAT, we change the world with vacuum solutions. As the world’s leading supplier of high-performance vacuum valves, we have been driving innovation for more than 60 years. With over 3,200 employees worldwide, we operate from our headquarters in Haag, Switzerland, with manufacturing sites in Switzerland, Malaysia and Romania, as well as sales and service hubs around the world. We are guided by our passions integrity, teamwork, customer centricity, and innovation - always working together as #oneVAT.

Location: Haag, St. Gallen, CH

Employment Type: Fixed Term Contract

About VAT Group

At VAT, we change the world with vacuum solutions. As the world’s leading supplier of high-performance vacuum valves, we have been driving innovation for more than 60 years. With over 3,200 employees worldwide, we operate from our headquarters in Haag, Switzerland, with manufacturing sites in Switzerland, Malaysia and Romania, as well as sales and service hubs around the world. We are guided by our passions integrity, teamwork, customer centricity, and innovation - always working together as #oneVAT.

Joining us means becoming part of a passionate, international team where your voice is heard, your ideas matter, and your career growth is supported.

Your Challenge

Our products are key components in semiconductor processing equipment worldwide. To support the development of intelligent vacuum systems, we are looking for an intern who wants to combine hands‑on experimentation with data science and machine learning. During your internship, you will investigate gas dynamics in a vacuum process chamber using advanced sensor technologies. You will contribute to the complete development cycle, including experimental planning, data collection, preprocessing, feature engineering, time-series modelling, and model validation.

Your Responsibilities Will Include

• Become familiar with vacuum technology, gas dynamics, process chambers, and sensor systems.
• Support the setup and execution of experiments in our vacuum test laboratory.
• Plan experiments using a structured Design of Experiments approach.
• Collect and organize multivariate time-series data from different sensor technologies.
• Develop data-preprocessing workflows for synchronization, filtering, segmentation, outlier handling, and data-quality assessment.
• Explore the relationships between sensor signals, gas properties, and process conditions.
• Develop and compare data-driven methods for:
  • Feature extraction
  • Gas or process-condition classification
  • Prediction and regression
  • Process monitoring
  • Event or anomaly detection
• Validate the developed methods using independent experiments and different operating conditions.
• Document experimental procedures, datasets, modelling methods, results, and limitations.
• Present your findings and potential next steps to engineers and researchers.

Your Competencies

• Currently pursuing an MSc degree in data science, machine learning, physics, mathematics, mechanical engineering, electrical engineering, chemical engineering, control engineering, mechatronics, or a related field.
• Basic knowledge of data analysis, statistics, signal processing, or machine learning.
• Programming experience in Python or MATLAB.
• Interest in combining experimental work with data-driven modelling.
• Willingness to work hands-on with vacuum equipment, sensors, and data-acquisition systems.
• Systematic thinking and enthusiasm for developing innovative technical solutions.
• Ability to learn independently and collaborate in a multidisciplinary R&D environment.
• Good written and spoken English.

Additional Experience Is a Plus

• Experience with time-series data, signal processing, or sensor-data analytics.
• Familiarity with scikit-learn, PyTorch, TensorFlow, MATLAB, or similar tools.
• Experience with Design of Experiments or laboratory measurements.
• Knowledge of feature engineering, model validation, or uncertainty estimation.
• Interest in vacuum technology, gas sensing, process control, or semiconductor manufacturing.

What You Will Learn

• Hands-on experience with vacuum systems and advanced sensor technologies.
• Experimental design and systematic data collection.
• Preprocessing and analysis of large multichannel sensor datasets.
• Time-series machine learning for real physical systems.
• Validation of data-driven models through laboratory experiments.
• Application knowledge in gas sensing and semiconductor equipment.

Our commitment to inclusion, fairness and equal opportunities

We believe in meaningful careers, continuous learning, and equal opportunities for everyone to drive our innovation and success. We welcome applicants from all backgrounds and are dedicated to fostering an inclusive and respectful workplace. If you have concerns, our compliance channel is available at our website. All reports are handled with strict confidentiality and in accordance with our Code of Conduct.