The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of Acoustic Sensing and Machine Learning for Sustainable Battery Lifetime Prediction as per January 1st, 2026, or as soon as possible thereafter. The position is available for a period of two years and six months.
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 www.es.aau.dk.
Your work tasks
This postdoc position is financially supported by the VILLUM Synergy project entitled ReBatMan: A New Paradigm for Sustainable Battery Lifetime Prediction through Acoustic Sensing and Machine Learning. The project is headed by Assoc. Prof. Daniel-Ioan Stroe, Department of Energy, and Prof. Jan Østergaard, Department of Electronic Systems, Aalborg University.
Batteries are vital for the green transition, enabling electrification of transportation and integration of renewable energy. Despite falling costs, uncertainties about battery lifetime challenge sustainability. Accurate lifetime prediction is crucial for effective management, enhancing performance, and preventing failures like fires or explosions. Current prediction methods mainly rely on extensive lab testing and modeling, using insights from destructive post-mortem analyses to improve accuracy. However, this approach is complex and unsustainable due to high energy consumption for parameterization. To tackle this sustainability challenge, a cross-disciplinary collaboration is dedicated to the project, uniting experts in battery technology and acoustic signal processing and machine learning. The goal is to harness advanced data science techniques to establish a novel paradigm for online non-invasive battery lifetime prediction through acoustic emission detection. This involves modeling the battery as a 3D acoustic landscape and tracking its changes over time. The expected outcomes are groundbreaking for battery management and will make substantial advances in online explainable data-driven prediction for time series data.
The specific tasks of this postdoc position will be to use active acoustic probing techniques based on ultrasonic signals that are transmitted through the battery. The resulting return signals are then analyzed using advanced signal processing and machine learning. The goal is to quantify both the extent of material degradation and its precise spatial distribution within the battery structure. By modeling the battery as a dynamic 3D acoustic landscape, we expect to be able to track temporal and spatial changes that reflect internal degradation processes.
Your competencies
The ideal candidate has a PhD in Electrical Engineering, Acoustics, or a closely related field. Candidates, who can identify themselves with the following competencies will be preferred:
- proven expertise in acoustics, statistical signal processing, and/or machine learning (AI) methods.
- strong analytical skills with the ability to connect theoretical modeling to practical, experimental data.
- experience with relevant computational tools (e.g., MATLAB, Python, or similar scientific programming environments).
- has an interest in advancing fundamental understanding while contributing to applied research outcomes.
- is enthusiastic about teamwork in interdisciplinary environments and has excellent written and oral communication skills in English.
Who we are
The postdoc will be affiliated to the research group Audio Analysis Lab, and you can read more about it here.
Within the project you will be working with an interdisciplinary team of experts in acoustics, signal processing, machine learning, battery technology, and energy efficient systems. A second postdoc will be hired on the project and employed in the group of Assoc. Prof. Daniel-Ioan Stroe at the department of Energy. As such a great deal of interdisciplinary collaboration will be expected.
Qualification requirements
Appointment as postdoc 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 (master's 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. You may attach a maximum of ten 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
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.
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Aalborg Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
Aalborg Universitet, Fredrik Bajers Vej, 9220 Aalborg Øst
-Ansøgning:
Ansøgningsfrist: 07-12-2025;
Se mere her: https://job.jobnet.dk/CV/FindWork/Details/ae0d6a1a-461a-44fa-8a8b-9bfe6e377609
