项目介绍

2026年8月27日

If you are looking to build an international research career at the intersection of control, neuroengineering, and healthcare technology, this PhD is the opportunity to work with people with Parkinson’s disease. The Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU Electro) invites applicants for a 3-year PhD position in close collaboration with Chalmers University of Technology. 

During the 3 years, you will develop next-generation data-driven methods for diagnosis, rehabilitation, and personalized treatment while working with leading researchers in computational neuroscience, machine learning, wearable sensing, and adaptive control. You will gain access to strong clinical collaborations and international research networks, providing an excellent foundation for a future career in academia, healthcare innovation, or advanced technology development.

The PhD project is financed by DTU and is part of a joint alliance research project. The alliance partner is Chalmers University of Technology, Electrical Engineering, Signal Processing and Biomedical Engineering Division.

Responsibilities and qualifications
Do you have a passion for interdisciplinary research at the intersection of neuroengineering, artificial intelligence, and healthcare technology? Are you motivated by developing technologies that can improve the quality of life of people living with neurological disorders? If so, this PhD position may be the right opportunity for you.

This project focuses on developing a novel multimodal data-driven framework for modeling, monitoring, and regulating motor dysfunctions associated with Parkinson’s disease. By combining wearable sensing technologies, biomedical signal processing, machine learning, computational neuroscience, and adaptive nonlinear control, you will contribute to the development of next-generation digital diagnostics and personalized neurorehabilitation solutions. The project is conducted in close collaboration with Chalmers University of Technology and clinical partners, providing a unique opportunity to work in an international and highly interdisciplinary research environment.

The PhD student will be supervised by Associate Professor Silvia Tolu and Associate Professor Dimitrios Papageorgiou at DTU, with co-supervision from Associate Professor Silvia Muceli at Chalmers University of Technology. The successful candidate will undertake a 4-6 month research stay at Chalmers University of Technology and work closely with a parallel PhD project focusing on upper-limb motor control in health and disease.

Your primary tasks will be to:

• Analyze multimodal physiological and movement data
• Develop data-driven computational models of pathological motor dynamics
• Design nonlinear state estimation and observer algorithms for hidden disease states
• Collaborate with clinical and academic partners
• Disseminate findings through scientific publications and presentations at international conferences

The candidate will participate in PhD courses, international training activities, workshops, and research exchanges that support both scientific excellence and professional development.

You may be a strong fit for this role if you have:

• A master’s degree (or equivalent) in Electrical Engineering, Biomedical Engineering, Robotics, Automation, Computer Science, Applied Mathematics, or another relevant field
• An academic background in control systems, signal processing, computational modeling, or related areas
• Experience with machine learning and programming using Python, MATLAB, or similar tools
• Methodological and analytical skills with a strong interest in research
• The ability to work both independently and collaboratively in an interdisciplinary research team
• Strong communication skills in English, both written and spoken
• Motivation, ambition, and enthusiasm for developing innovative technologies for healthcare applications

You must have a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree.

Approval and Enrolment 
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU’s rules for the PhD education. 

Assessment
The assessment of the applicants will be made by Associate Professor Silvia Tolu and Associate Professor Dimitrios Papageorgiou. 

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

Starting date is 1 February 2027, or according to mutual agreement. The position is a full-time position.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Associate Professor Silvia Tolu, email: stolu@dtu.dk 

You can read more at DTU Electro

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark. Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. 

Application procedure 
Your complete online application must be submitted no later than 9 September 2026 (23:59 Danish time). 

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link “Apply now”, fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• A letter motivating the application (cover letter)
• Curriculum vitae 
• Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
• Representative publications 
• Contact information for academic references