Research assistant in IoT data, AI and digital twin technology
Department of Electrical and Computer Engineering
Research assistant in IoT data, AI and digital twin technology
Are you interested in turning IoT data into intelligent digital twins of real-world systems? The Department of Electrical and Computer Engineering at Aarhus University invites applications for a 6-month research assistant position in the Robots4Green project, working at the intersection of IoT data, artificial intelligence and digital twin technology. The position is based in Aarhus, Denmark, and starts on 1 January or as soon as possible thereafter.
Expected start date and duration of employment
This is a 6-month position from 1 January 2027 or as soon as possible thereafter.
Job description
We are seeking a motivated research assistant with a strong background in data science and machine learning to contribute to research on AI for IoT data and digital twin technology. You will work with sensor data and develop the models that allow digital twins to monitor, understand and predict the behaviour of physical systems.
Your tasks will include:
The position may also include assisting in supervision activities at the department.
Prior experience with IoT or digital twins is an advantage. You will gain hands on experience with IoT data and digital twin technology while working closely with researchers in the Networks and Analytics research group and with academic and industrial partners in the project. The position is an excellent stepping stone towards a PhD or a career in industry.
Your profile
Applicants should hold a Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science or a similar field.
We are looking for candidates with:
The following qualifications are considered advantages:
Personal skills
We value good communication skills in English, the ability to work independently as well as in an international team, curiosity and a proactive, structured approach to problem solving.
Who we are
The Department of Electrical and Computer Engineering (ECE) at Aarhus University is a leading research institution with strong expertise in computer science, electrical engineering and wireless communication systems. We maintain active collaborations with industry partners and are involved in multiple national and international research projects on IoT, AI and digital twins.
You will be joining the Networks and Analytics (NAN) research group, which focuses on research and innovation in developing and applying internet technology across a wide selection of fields in electrical and computer engineering for real-world, large-scale applications. The NAN group has strong expertise in wireless networks, IoT, network security, data analytics, AI and cooperative multi agent systems, with extensive experience in smart energy grids, smart and integrated transport and satellite communication systems.
Our research group provides a dynamic and supportive environment where interdisciplinary collaboration is encouraged, and where you will work with both academic researchers and industry professionals on projects with real world impact.
Department website: https://ece.au.dk
What we offer
The Department of Electrical and Computer Engineering offers:
Place of work and area of employment
The place of work is Helsingforsgade 10, 8200 Aarhus N (Denmark), and the area of employment is Aarhus University with related departments.
Contact information
For further information, please contact: Professor Rune Hylsberg Jacobsen, +45 41893252, rhj@ece.au.dk.
Deadline
Applications must be received no later than 17 November 2026.
Application procedure
Short-listing is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the assessment committee if necessary, – the head of department selects the candidates to be evaluated. The selection is made on the basis of an assessment of who of the candidates are most relevant considering the requirements of the advertisement. All applicants will be notified within 6 weeks whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee and will receive his/her assessment.
Formalities and salary range
Natural Sciences refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation.
The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be found here.
Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Taxation and the Danish Confederation of Professional Associations. Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities.
Salary and terms as agreed between the Danish Ministry of Taxation and the Confederation of Professional Unions at basic salary steps 4-8.
Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants.
The application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website.
Are you interested in turning IoT data into intelligent digital twins of real-world systems? The Department of Electrical and Computer Engineering at Aarhus University invites applications for a 6-month research assistant position in the Robots4Green project, working at the intersection of IoT data, artificial intelligence and digital twin technology. The position is based in Aarhus, Denmark, and starts on 1 January or as soon as possible thereafter.
Expected start date and duration of employment
This is a 6-month position from 1 January 2027 or as soon as possible thereafter.
Job description
We are seeking a motivated research assistant with a strong background in data science and machine learning to contribute to research on AI for IoT data and digital twin technology. You will work with sensor data and develop the models that allow digital twins to monitor, understand and predict the behaviour of physical systems.
Your tasks will include:
- Applying signal processing and feature extraction methods to sensor time series, for example wind and environmental data
- Designing, training and evaluating machine learning models for forecasting and anomaly detection, with an emphasis on interpretable and reliable models
- Contributing to data pipelines and to the integration of models into a digital twin platform together with the project team
- Supporting experiments and demonstrations together with project partners
- Documenting results and contributing to scientific publications and project deliverables
The position may also include assisting in supervision activities at the department.
Prior experience with IoT or digital twins is an advantage. You will gain hands on experience with IoT data and digital twin technology while working closely with researchers in the Networks and Analytics research group and with academic and industrial partners in the project. The position is an excellent stepping stone towards a PhD or a career in industry.
Your profile
Applicants should hold a Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science or a similar field.
We are looking for candidates with:
- Solid programming skills in Python for data analysis and modelling
- Experience with machine learning frameworks such as scikit-learn and PyTorch or similar AI frameworks
- A strong foundation in statistics, probability and signal processing
- A good understanding of time series analysis
The following qualifications are considered advantages:
- Experience with graph-based machine learning, such as graph neural networks, or graph signal processing
- Knowledge of IoT systems, sensor data or data platforms
- Familiarity with digital twin concepts and simulation
- Experience from research projects, including interdisciplinary collaborations
- Teaching or supervision experience
Personal skills
We value good communication skills in English, the ability to work independently as well as in an international team, curiosity and a proactive, structured approach to problem solving.
Who we are
The Department of Electrical and Computer Engineering (ECE) at Aarhus University is a leading research institution with strong expertise in computer science, electrical engineering and wireless communication systems. We maintain active collaborations with industry partners and are involved in multiple national and international research projects on IoT, AI and digital twins.
You will be joining the Networks and Analytics (NAN) research group, which focuses on research and innovation in developing and applying internet technology across a wide selection of fields in electrical and computer engineering for real-world, large-scale applications. The NAN group has strong expertise in wireless networks, IoT, network security, data analytics, AI and cooperative multi agent systems, with extensive experience in smart energy grids, smart and integrated transport and satellite communication systems.
Our research group provides a dynamic and supportive environment where interdisciplinary collaboration is encouraged, and where you will work with both academic researchers and industry professionals on projects with real world impact.
Department website: https://ece.au.dk
What we offer
The Department of Electrical and Computer Engineering offers:
- An exciting opportunity to work on applied research in IoT data, AI and digital twin technology
- A well developed research infrastructure with access to laboratories, IoT equipment and computing facilities
- Close collaboration with industrial partners and direct pathways to real world validation
- An interdisciplinary and international research environment
- Opportunities to co-author scientific publications and build a foundation for a PhD
- A supportive work environment that values work-life balance, professional development and openness
Place of work and area of employment
The place of work is Helsingforsgade 10, 8200 Aarhus N (Denmark), and the area of employment is Aarhus University with related departments.
Contact information
For further information, please contact: Professor Rune Hylsberg Jacobsen, +45 41893252, rhj@ece.au.dk.
Deadline
Applications must be received no later than 17 November 2026.
Application procedure
Short-listing is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the assessment committee if necessary, – the head of department selects the candidates to be evaluated. The selection is made on the basis of an assessment of who of the candidates are most relevant considering the requirements of the advertisement. All applicants will be notified within 6 weeks whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee and will receive his/her assessment.
Formalities and salary range
Natural Sciences refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation.
The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be found here.
Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Taxation and the Danish Confederation of Professional Associations. Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities.
Salary and terms as agreed between the Danish Ministry of Taxation and the Confederation of Professional Unions at basic salary steps 4-8.
Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants.
The application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website.
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