IoT, AI & Digital Twin Research Assistant

Department of Electrical and Computer Engineering; Favrskov Kommune; On-site; DKK 400,000 - 440,000; Full time

Benefits offered by this job

Research infrastructure

International environment

Co-authored publications

PhD pathway

Job summary

Aarhus University invites applications for a 6-month Research Assistant position in the Robots4Green project, working on IoT data, AI and digital twin technology. The position is based in Aarhus, Denmark, starting 1 January 2027 or as soon as possible.

You will develop models for IoT data and digital twins, train ML models for forecasting and anomaly detection, and contribute to data pipelines and model integration.

Qualifications

• Master's degree in a relevant field (EE, CS, Data Science)
• Strong Python programming and ML framework experience
• Solid foundation in statistics and signal processing
• Good time-series analysis capabilities

Responsibilities

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

Skills

Python programming

Machine learning

Statistics

Time series analysis

Education

Master's degree in Electrical Engineering

Master's degree in Computer Engineering

Master's degree in Computer Science

Master's degree in Data Science

Tools

scikit-learn

PyTorch

Job description

Aarhus University invites applications for a 6-month Research Assistant position in the Robots4Green project, working on IoT data, AI and digital twin technology. The position is based in Aarhus, Denmark, starting 1 January 2027 or as soon as possible.

You will develop models for IoT data and digital twins, train ML models for forecasting and anomaly detection, and contribute to data pipelines and model integration.