Postdoctoral Position in machine learning on IoT data (DESS)

Postdoctoral Position in machine learning IoT data (DESS)

The Data Engineering Science and Systems (DESS) research group at Aalborg University (AAU) is seeking a postdoctoral researcher to contribute to high-impact research on machine learning related to the analysis of IoT data in the form of multivariate time series.

The DESS group is part of Department of Computer Science that belongs to AAUs Technical Faculty for IT and Design. The Department of Computer Science has 170 scientific staff including the two most cited Danish computer scientists 20 administrative staff and 1100 students. More information is available at: . The DESS group focuses on data-intensive systems spatio-temporal data management data analytics and applications of machine learning. International evaluations place DESS in the global top tier. For example lists DESS as no. 2 in Europe and no. 13 in the world within database systems for the period 2021-2025. More information about DESS can be found at: position is open for appointment starting September 1st 2026.The position is initially for 24 months with the possibility for extension to a total of 36 months.

Your work tasks:

The postdoctoral position relates to the project titled An Integrated Approach to IoT Data Analytics. The project aims to integrate complementary but related expertise across the Departments of Electronic Systems and Computer Science at AAU. The project includes two major use cases. Together with medical experts the project aims to invent solutions for activity monitoring of older adults in their homes using wireless infrastructure data. For example this may enable detection of vital signs of adults falling and of decline in cognitive abilities. Together with engineers from the wind turbine company Vestas interests the project aims to invent reliable resilient and performant solutions to efficiently transmit and analyze high-frequency high-velocity multimodal data streams thereby enabling monitoring of offshore wind turbines. Your role will be to contribute to these uses cases by developing machine-learning based methods for analyzing IoT time-series data.

Your Competencies:

We seek a highly motivated researcher with a PhD in computer science proficiency in software development and a strong publication record in machine learning for time series that includes publications in top methodological outlets in machine learning. Beyond technical skills we value proactive collaborative team players with excellent communication skills for engaging with project participants.

Qualification requirements
Appointmentaspostdoc requires academic qualifications at PhD level.

How to apply
Your application must include the following:

• Application stating reasons for applying qualifications in relation to the position and intentions and visions for the position
• Curriculum Vitae (CV)
• Diplomas (masters degree diploma and PhD diploma)
• List of publications with an indication of the attached publications that you wish to be taken into account in the assessment. Youmay attach a maximum of five publications.
• Dissemination qualifications including participation on committees or boards participation in organisations etc.
• Additional qualifications in relation to the position
• References/recommendations

You can read more about the requirements for your application here.

The application must be submitted via Aalborg Universitys recruitment system which can be accessed under the job advertisement on Aalborg Universitys website.

Aalborg University wants to reflect the surrounding society and has diversity as a core value. Therefore everyone regardless of personal background and orientation is encouraged to apply for the position.

Do you have any questions
If you have any questions about the position you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost.

Further information
Read more about our recruitment process here

The appointment process at Aalborg University involves a shortlisting process. You can read more about the shortlisting and appointment process here.

The hiring process at Aalborg University may include a risk assessment as a tool to identify potential risks associated with new hires ensuring the safety compliance and integrity of the workplace.

Salary and terms of employment
The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministerial Order on Job Structure for Academic Staff at Universities (in Danish) and protocol on certain terms of employment of academic staff at universities (in Danish).

Salary and terms of employment are in accordance with the collective agreement between the Danish Confederation of Professional Associations and the state (AC collective agreement) (only in Danish) and protocol on certain terms of employment of academic staff at universities (only in Danish).

There is a mutual probationary period of 3 months for the position.

Aalborg University - Knowledge for the world
Aalborg University is an international workplace with more than 3700 employees. We offer real-world-oriented education and create world-class research results through collaboration between researchers students and public and private companies. This is how we achieve insights new solutions to societal problems and knowledge that changes the world. Our main campus is in Aalborg but we also have campuses in Esbjerg and Copenhagen.