Research Assistant - IoT Data, AI & Digital Twin

Aarhus University; Aarhus; On-site; DKK 330,000 - 450,000; Full time

Job summary

Aarhus University is offering a 6-month Research Assistant position in IoT data, AI and digital twin technology based in Aarhus, Denmark. You will work on IoT data and digital twins under the NAN research group, contributing to AI-driven model development and integration with a digital twin platform.

Ideal candidates hold a Master's in a relevant field and have strong Python, ML frameworks, statistics and time-series analysis skills, with opportunities to collaborate with industry partners and

Qualifications

• Master's degree in Electrical/Computer Engineering, Computer Science, Data Science or similar.
• Strong Python programming for data analysis and modelling.
• Experience with machine learning frameworks such as scikit-learn and PyTorch.
• Solid foundation in statistics, probability and signal processing.
• Good time series analysis skills.

Responsibilities

• Apply signal processing and feature extraction to sensor time series data.
• Design, train and evaluate ML models for forecasting and anomaly detection.
• Contribute to data pipelines and integration of models into a digital twin platform.
• Support experiments and demonstrations with project partners.
• Document results and contribute to publications and deliverables.

Skills

Python

Machine learning

Statistics

Time series analysis

Education

Master's degree in EE/CS/DS

Tools

scikit-learn

PyTorch

Job description

Aarhus University is offering a 6-month Research Assistant position in IoT data, AI and digital twin technology based in Aarhus, Denmark. You will work on IoT data and digital twins under the NAN research group, contributing to AI-driven model development and integration with a digital twin platform.

Ideal candidates hold a Master's in a relevant field and have strong Python, ML frameworks, statistics and time-series analysis skills, with opportunities to collaborate with industry partners and