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Technical University of Denmark

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PhD scholarship in Predictive Human Digital Twins for Human-Centred Systems Engineering Technical University of Denmark in Denmark

Degree Level

PhD

Field of study

Computer Science

Funding

PhD scholarship with salary and appointment terms based on the collective agreement with the Danish Confederation of Professional Associations; 3-year full-time appointment.

Deadline

Dec 2, 2026

Country flag

Country

Denmark

University

Technical University of Denmark

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Keywords

Computer Science
Biomedical Engineering
Mechanical Engineering
Mathematics
Monte Carlo Simulation
Assistive Technology
Collaborative Robotics
Optimisation
Robotics
ML

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About this position

This PhD scholarship at DTU Construct focuses on building predictive Human Digital Twins for human-centred systems engineering. The project sits at the intersection of biomechanics, artificial intelligence, and systems engineering, and aims to turn generic musculoskeletal models into personalised digital representations of people.

You will work on methods that use sparse wearable sensor data rather than costly laboratory measurements or medical imaging to personalise biomechanical models. A central goal is to assess how reliably these Human Digital Twins can predict how a person moves and interacts with technical systems such as collaborative robots and assistive devices.

The position is part of the development of a new research group in Human-Centred Design within the broader Human-Centred Systems Engineering activities at DTU Construct. This gives the PhD student the opportunity to contribute to shaping the group from the beginning while working in a strong research environment at one of Europe’s leading technical universities.

Research tasks include developing and validating methods for personalising musculoskeletal models from sparse multimodal sensor data, combining physics-based and data-driven approaches, quantifying the simulation-to-reality gap, and carrying out experimental studies with human participants. The project also emphasises the creation of open, reusable software and publication of results in collaboration with researchers at DTU and international partners.

The work is embedded in DTU’s PhD programme, with PhD-level courses and teaching duties as part of the training environment. The department and section profile point to an interdisciplinary setting spanning engineering systems design, AI-enabled engineering, and sustainable product and manufacturing systems.

Assessment of applicants will be made by Jörg Miehling.

Funding details

PhD scholarship with salary and appointment terms based on the collective agreement with the Danish Confederation of Professional Associations; 3-year full-time appointment.

What's required

Applicants should have an MSc in Biomedical or Mechanical Engineering, Robotics, Computer Science, Applied Mathematics, Engineering Design, or a related field, and a two-year master's degree (120 ECTS points) or an equivalent degree. Strong programming skills in Python, MATLAB, or C++ are expected, along with a background in simulation, optimisation, machine learning, sensor processing, or parameter estimation. Experience with musculoskeletal modelling, motion analysis, or wearable sensing is an advantage. Candidates should have a strong interest in computational modelling of humans and human-technology systems, good communication skills in English, and the ability to work independently and in a team.

How to apply

Submit the complete online application via the 'Apply now' link. Upload all materials in English as one PDF file, including a cover letter, CV, transcripts and BSc/MSc diploma, BSc thesis, MSc thesis, and any published scientific articles. Applications must be received by 2 December 2026 at 23:59 Danish time.

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