Postdoc in machine learning and decisions applied in cooling systems
1 day ago
- Ansøgningsfrist:
- Afdeling: Department of Electronic Systems
- Ref. nummer: 2025/733
- Ansættelsestype: Fuldtid
Ansøgningsfrist:
Afdeling: Department of Electronic Systems
Ref. nummer: 2025/733
Ansættelsestype: Fuldtid
Ledig stilling
Postdoc in machine learning and decisions applied in cooling systemsAalborg
- Ansøgningsfrist:
- Afdeling: Department of Electronic Systems
- Ref. nummer: 2025/733
- Ansættelsestype: Fuldtid
Ansøgningsfrist:
Afdeling: Department of Electronic Systems
Ref. nummer: 2025/733
Ansættelsestype: Fuldtid
The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of machine learning and decisions applied in cooling systems as per January 1, 2026, or as soon as possible thereafter. The position is available for a period of 2,5 years.
In electronic engineering, Aalborg University is known worldwide for its high academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results into applications in close collaboration with industrial partners worldwide. You can read more about the department at
Your work tasks
The postdoctoral position is funded by the Sustainable Water-based Cooling in Megacities (SWiM) project, supported by the Poul Due Jensen Foundation. The SWiM project aims to develop robust and resilient cooling solutions for buildings and urban environments, primarily in tropical and subtropical regions, with a strong focus on hydronic cooling.
The research will centre on developing and applying machine-learning methods grounded in control and game theory, including reinforcement learning and multiobjective stochastic optimisation. These methods will be applied to cooling solutions at the building, district, and city scale, where innovative and energy-efficient approaches are urgently needed.
In addition to research activities, the postdoc will spend approximately 30% of the time on scientific project administration. This will include supporting the project PI in monitoring scientific progress and ensuring that project objectives and milestones are met.
Your competencies
The candidate must have a strong background in control theory, reinforcement learning, and game theory, and is expected to have experience with the practical implementation of control algorithms.
Who we are
Learning and Decision at AAU, founded in 2020, focuses on developing mathematical methods to support decision-making by integrating physical models and sensor data. These methods are validated through industrial case studies, with a particular emphasis on critical infrastructures where complexity, large datasets, physical modeling, optimization, and safety and security are key factors. Our main showcase is the water sector, where we have designed and built a specialized laboratory focused on potable water, wastewater systems, and district heating/cooling systems. Link to the group web page: https://www.learning-
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
- List of publications, with an indication of the attached publications that you wish to be taken into account in the assessment. You may attach a maximum of five publications
- Documentation of teaching qualifications. Please see guidelines for teaching portfolio at The Technical Faculty of IT and Design
- Dissemination qualifications, including participation on committees or boards, participation in organisations etc.
- Additional qualifications in relation to the position
- References/recommendations
Qualification requirements
Appointment as postdoc requires academic qualifications at PhD level.
You can read more about the requirements for your application here.
The application must be submitted via Aalborg University's recruitment system, which can be accessed under the job advertisement on Aalborg University's 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).
Aalborg University - Knowledge for the world
Aalborg University is an international workplace with more than 3,700 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.
AnsættelsestypeFull time
Ref. nummer2025/733
Ansøgningsfrist
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