3 Open PhD Positions: Aarhus University is inviting applicants for three PhD fellowships within the Graduate School of Technical Sciences in the area of Electrical and Computer Engineering. These positions will focus on developing Digital Twins for autonomous systems in industrial manufacturing settings.
3 Open PhD Positions on Industrial Digital Twins for Increased Autonomy and Decision Support in Manufacturing and Production
PhD Positions on Industrial Digital Twins
Designation:
PhD Fellowships in Electrical and Computer Engineering
Research Area:
- Digital Twins for autonomous systems
- Industrial manufacturing
- Machine learning and optimization
Location:
Aarhus University, Department of Electrical and Computer Engineering, Helsingforsgade 10, 8200 Aarhus, Denmark
Eligibility/Qualification:
- Relevant Master’s degree in Computer Engineering, Computer Science, Robotics, or similar fields
- Background in digital twin engineering, autonomous systems, and machine learning
- Desired understanding of machine learning and MLOps
- Experience in cyber-physical modeling, fault detection, and multi-objective optimization is advantageous
Job Description:
The selected candidates will work on integrating Digital Twin capabilities at various levels of the manufacturing system. This includes:
- Developing models for autonomous decision-making
- Real-time data analysis for fault detection and process optimization
- Collaborating with industrial partners such as Lego, Novo Nordisk, Grundfos, and Velux
- Streamlining processes for MLOps implementation in manufacturing
How to Apply:
Interested applicants should submit their applications through the designated link under ‘how to apply’. Applicants are required to upload a project description as a PDF in the application, which can be taken directly from the project description provided.
Last Date to Apply:
Application deadline is 30 June 2025 at 23:59 CEST.
For any further inquiries, please contact:
- Professor Peter G. Larsen: pgl@ece.au.dk
- Associate Professor Lukas Esterle: lukas.esterle@ece.au.dk
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