Data Science Internship: Gas Sensing Time-Series

VAT Vakuumventile AG; Haag; Vor Ort; CHF 20.000 - 27.000; Teilzeit

Zusammenfassung

VAT Group in Haag, Switzerland, seeks an intern for Experimental Data Science focusing on gas sensing and time-series analytics. You will combine hands-on experiments in a vacuum test laboratory with data science and machine learning to model sensor data during a fixed-term internship.

You will plan experiments, collect multivariate time-series data, preprocess and engineer features, and compare data-driven methods for classification, prediction, monitoring, and anomaly detection.

Qualifikationen

• 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.

Aufgaben

• 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: 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.

Kenntnisse

Python

MATLAB

Data analysis

Statistics

Signal processing

Machine learning

English

Ausbildung

MSc student in data science / related field

Tools

scikit-learn

PyTorch

TensorFlow

MATLAB

Jobbeschreibung

VAT Group in Haag, Switzerland, seeks an intern for Experimental Data Science focusing on gas sensing and time-series analytics. You will combine hands-on experiments in a vacuum test laboratory with data science and machine learning to model sensor data during a fixed-term internship.

You will plan experiments, collect multivariate time-series data, preprocess and engineer features, and compare data-driven methods for classification, prediction, monitoring, and anomaly detection.