Website Leuven Engineering University
Job description
PhD position: real-time anomaly detection in electromagnetic environments using Artificial Intelligence
The M group at the KU Leuven Engineering University, Bruges Campus, is an interdisciplinary research team focusing on intelligent and reliable mechatronic systems, combining the research expertise of the Departments of Computer Science, Electrical Engineering and Mechanical Engineering. Two of the main research areas are the application of artificial intelligence and machine learning in real industrial environments, and electromagnetic risk management. The goal of this PhD position is to explore synergies at the intersection of these two fields. More specifically, the position focuses on novel AI techniques for anomaly detection in electromagnetic environments. The successful candidate will have the opportunity to pursue a PhD in Computer Science at the University of Leuven, while also joining the Declarative Languages and Artificial Intelligence (DTAI) Lab (https://dtai.cs.kuleuven.be), which pursues excellence in explicitly synergistic integration of basic and applied research in machine learning and artificial intelligence. The PhD training takes place within the framework of the Leuven Arenberg Doctoral School (https://set.kuleuven.be/phd). The PhD students will be supervised by Prof. Mathias Verbeke and Prof. Tim Claeys.
The PhD position is part of the PATTERN doctoral network, which is based on the belief that artificial intelligence can significantly enhance overall EMI (Electromagnetic Interference) solutions. By revealing previously unknown patterns in the complex interactions between humans, devices, and their environments, AI can support the development of safe, sustainable, and forward-looking design strategies to mitigate EMI challenges. PATTERN combines expertise in four key areas – electromagnetic compatibility (EMC), medical engineering, risk management, and sustainability management – to drive innovation for a safer, smarter, and more sustainable future. and more sustainable future.
In this PhD project, we aim to use artificial intelligence to detect anomalies in electromagnetic environments in real time. Due to the challenges of collecting comprehensive anomaly datasets, an unsupervised or semi-supervised approach will be devised to construct a model representing regular electromagnetic behavior using normal data. The project will combine EM interference footprints that capture normal variations through characteristic curves and statistical distributions with state-of-the-art machine learning and deep learning techniques (e.g., single-class support vector machines, auto-encoder and transformer-based architectures) to detect anomalies. By combining these AI techniques with EMI footprints, our goal is to develop an efficient method to detect anomalies in the electromagnetic environment in real-time, leading to a better understanding of the underlying root causes.
We are looking for a motivated, enthusiastic, passionate, communicative researcher with a proactive attitude, creativity, and a desire to explore innovative solutions. If you recognize yourself in the story below, then you have what it takes to be a good fit for this project and research group:
I have a Master’s degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field, and I have above-average grades compared to my peers. I am proficient in written and spoken English. I have gained experience in machine/deep learning methods and/or EMC in my courses or previous professional activities and can demonstrate a strong affinity with (one of) these areas. Experience with time series data analysis and/or anomaly detection is a plus. I am proficient in Python and familiar with data science and machine/deep learning toolkits. As a PhD researcher at Katholieke Universiteit Leuven, I conduct my research in a structured and scientifically sound manner. I read technical papers to understand the nuances between different theories and personally implement and improve research methods. Based on exchanges and discussions with my supervisor and team colleagues, I develop and update a work plan for the next 1 to 3 months in order to achieve my research goals. I have enough independence in my work to achieve my goals according to my plan. If there was a need to deviate from the plan, if the goals could not be met, or if I wanted to discuss intermediate results or problems, I would point this out in a timely manner. I submit frequent reports, ranging from weekly to monthly, showing the results I have achieved and providing reasoned explanations of those results. I continually improve my work and methods based on feedback from my mentor, which guides the direction of my research. I feel comfortable working as part of a team and I am eager to share my results with my colleagues and be inspired by them. I value being part of a research group with strong links to the mechatronics industry, and I am eager to learn how to link academic research to the industry’s innovation roadmap. During my PhD, I would like to represent my research group at project meetings or conferences. I see these events as opportunities to disseminate my findings to international experts and research colleagues, as well as to learn about the wider context of my research and research project.
Candidates from diverse backgrounds and experiences are encouraged to apply, as we believe that different perspectives contribute to better research and innovation.
This is not just a PhD position, it is an opportunity to be part of an internationally recognized network of researchers through the MSCA PATTERN PhD network (https://pattern-dn.eu). As a PhD student, you will be based at the KU Leuven Engineering University Bruges Campus, with secondments to Thales (Netherlands) and IETR (CNRS, France).
We offer fully funded 3-year PhD scholarships (extendable to 4 years) with remuneration packages that are competitive with industry standards in Belgium, a country with a high quality of life and a good healthcare system. Ample opportunities to develop yourself in a scientific and/or industrial direction. In addition to the opportunities offered by the research group, the KU Leuven Dr. Arenberg School (https://set.kuleuven.be/phd) offers further doctoral training for PhD students. The institute is known for producing future scientists and scientifically trained professionals who will put their doctoral expertise and competencies to good use in a non-academic environment. Opportunities to collaborate on ground-breaking research and participate in international conferences. Access to state-of-the-art infrastructure and a range of university benefits (health insurance, etc.). A dynamic and passionate team of PhD students and test engineers.
In the framework of the MSCA PhD network PATTERN, KU Leuven Engineering University offers recruited PhD students a researcher’s stipend, which includes a subsistence allowance, a mobility allowance, and a family allowance (if applicable). These researcher allowances will be used to cover the PhD candidate’s remuneration, including all employer and employee taxes and contributions.
KU Leuven is one of the world’s leading universities (top 100 globally) and the position will be located in KU Leuven’s internationally oriented collaborative research environment. Founded in 1425, KU Leuven has been a center of academia for nearly six centuries and is the highest ranked university in Belgium and one of the oldest and most prestigious in Europe. Offering a truly international experience, high-quality education, world-class research and cutting-edge innovation, KU Leuven Engineering University has topped the Reuters ranking of Europe’s most innovative universities for four years running.
Candidates are encouraged to present their research at international conferences and national events, with an emphasis on high-quality conference and journal papers. They will benefit from our strong international research and industry network, which is actively involved in this program.
The KU Leuven Bruges Campus is located in the magnificent medieval city of Bruges in West Flanders, close to a network of companies and in a strong academic atmosphere. Newly built laboratories on the campus meet the needs of education and research.
https://www.kuleuven.be/personeel/jobsite/jobs/60436257
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Europe, Belgium</job_location
Doctoral position</position_name
KU Leuven Engineering University</employer_name
Doctoral Position: Real-time Anomaly Detection in Electromagnetic Environments using Artificial Intelligence
Fully funded 3-year PhD scholarship (extendable to 4 years)
https://www.kuleuven.be
2025-03-31
[email protected]
false
true</is_doctoral_position
false</is_master_position
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offer requirements
We are looking for a motivated, enthusiastic, passionate, communicative researcher with a proactive attitude, creativity and a desire to explore innovative solutions. If you recognize yourself in the story below, then you have what it takes to be a good fit for this project and research group:
I have a Master’s degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field, and I have above-average grades compared to my peers. I am proficient in written and spoken English. I have gained experience in machine/deep learning methods and/or EMC in my courses or previous professional activities and can demonstrate a strong affinity with (one of) these areas. Experience with time series data analysis and/or anomaly detection is a plus. I am proficient in Python and familiar with data science and machine/deep learning toolkits. As a PhD researcher at Katholieke Universiteit Leuven, I conduct my research in a structured and scientifically sound manner. I read technical papers to understand the nuances between different theories and personally implement and improve research methods. Based on exchanges and discussions with my supervisor and team colleagues, I develop and update a work plan for the next 1 to 3 months in order to achieve my research goals. I have enough independence in my work to achieve my goals according to my plan. If there was a need to deviate from the plan, if the goals could not be met, or if I wanted to discuss intermediate results or problems, I would point them out in a timely manner. I submit frequent reports, ranging from weekly to monthly, showing the results I have achieved and providing reasoned explanations of those results. I continually improve my work and methods based on feedback from my mentor, which guides the direction of my research. I feel comfortable working as part of a team and I am eager to share my results with my colleagues and be inspired by them. I value being part of a research group with strong links to the mechatronics industry, and I am eager to learn how to link academic research to the industry’s innovation roadmap. During my PhD, I would like to represent my research group at project meetings or conferences. I see these events as opportunities to disseminate my findings to international experts and research colleagues, as well as to learn about the wider context of my research and research project.
Candidates from diverse backgrounds and experiences are encouraged to apply, as we believe that different perspectives contribute to better research and innovation.
This is not just a PhD position, it is an opportunity to be part of an internationally recognized network of researchers through the MSCA PATTERN PhD network (https://pattern-dn.eu). As a PhD student, you will be based at the KU Leuven Engineering University Bruges Campus, with secondments to Thales (Netherlands) and IETR (CNRS, France).
We offer fully funded 3-year PhD scholarships (extendable to 4 years) with remuneration packages that are competitive with industry standards in Belgium, a country with a high quality of life and a good healthcare system. Ample opportunities to develop yourself in a scientific and/or industrial direction. In addition to the opportunities offered by the research group, the KU Leuven Dr. Arenberg School (https://set.kuleuven.be/phd) offers further doctoral training for PhD students. The institute is known for producing future scientists and scientifically trained professionals who will put their doctoral expertise and competencies to good use in a non-academic environment. Opportunities to collaborate on ground-breaking research and participate in international conferences. Access to state-of-the-art infrastructure and a range of university benefits (health insurance, etc.). A dynamic and passionate team of PhD students and test engineers.
In the framework of the MSCA PhD network PATTERN, KU Leuven Engineering University offers recruited PhD students a researcher’s stipend, which includes a subsistence allowance, a mobility allowance, and a family allowance (if applicable). These researcher allowances will be used to cover the PhD candidate’s remuneration, including all employer and employee taxes and contributions.
KU Leuven is one of the world’s leading universities (top 100 globally) and the position will be located in KU Leuven’s internationally oriented collaborative research environment. Founded in 1425, KU Leuven has been a center of academia for nearly six centuries and is the highest ranked university in Belgium and one of the oldest and most prestigious in Europe. Offering a truly international experience, high-quality education, world-class research and cutting-edge innovation, KU Leuven Engineering University has topped the Reuters ranking of Europe’s most innovative universities for four years running.
Candidates are encouraged to present their research at international conferences and national events, with an emphasis on high-quality conference and journal papers. They will benefit from our strong international research and industry network, which is actively involved in this program.
The KU Leuven Bruges Campus is located in the magnificent medieval city of Bruges in West Flanders, close to a network of companies and with a strong academic atmosphere. Newly built laboratories on the campus meet the needs of education and research.
https://www.kuleuven.be/personeel/jobsite/jobs/60436257
false
Europe, Belgium</job_location
Doctoral position</position_name
University of Engineering Leuven</employer_name
Doctoral Position: Real-time Anomaly Detection in Electromagnetic Environments using Artificial Intelligence
Fully funded 3-year PhD scholarship (extendable to 4 years)
https://www.kuleuven.be
2025-03-31
[email protected]
false
true</is_doctoral_position
false</is_master_position
false
offer benefits
This is not just a PhD position, it is an opportunity to be part of an internationally recognized network of researchers through the MSCA PATTERN PhD network (https://pattern-dn.eu). As a PhD student, you will be based at the KU Leuven Engineering University Bruges Campus, with secondments to Thales (Netherlands) and IETR (CNRS, France).
We offer fully funded 3-year PhD scholarships (extendable to 4 years) with remuneration packages that are competitive with industry standards in Belgium, a country with a high quality of life and a good healthcare system. Ample opportunities to develop yourself in a scientific and/or industrial direction. In addition to the opportunities offered by the research group, the KU Leuven Dr. Arenberg School (https://set.kuleuven.be/phd) offers further doctoral training for PhD students. The institute is known for producing future scientists and scientifically trained professionals who will put their doctoral expertise and competencies to good use in a non-academic environment. Opportunities to collaborate on ground-breaking research and participate in international conferences. Access to state-of-the-art infrastructure and a range of university benefits (health insurance, etc.). A dynamic and passionate team of PhD students and test engineers.
In the framework of the MSCA PhD network PATTERN, KU Leuven Engineering University offers recruited PhD students a researcher’s stipend, which includes a subsistence allowance, a mobility allowance, and a family allowance (if applicable). These researcher allowances will be used to cover the PhD candidate’s remuneration, including all employer and employee taxes and contributions.
KU Leuven is one of the world’s leading universities (top 100 globally) and the position will be located in KU Leuven’s internationally oriented collaborative research environment. Founded in 1425, KU Leuven has been a center of academia for nearly six centuries and is the highest ranked university in Belgium and one of the oldest and most prestigious in Europe. Offering a truly international experience, high-quality education, world-class research and cutting-edge innovation, KU Leuven Engineering University has topped the Reuters ranking of Europe’s most innovative universities for four years running.
Candidates are encouraged to present their research at international conferences and national events, with an emphasis on high-quality conference and journal papers. They will benefit from our strong international research and industry network, which is actively involved in this program.
The KU Leuven Bruges Campus is located in the magnificent medieval city of Bruges in West Flanders, close to a network of companies and in a strong academic atmosphere. Newly built laboratories on the campus meet the needs of education and research.
https://www.kuleuven.be/personeel/jobsite/jobs/60436257
false
Europe, Belgium</job_location
Doctoral position</position_name
University of Engineering Leuven</employer_name
Doctoral Position: Real-time Anomaly Detection in Electromagnetic Environments using Artificial Intelligence
Fully funded 3-year PhD scholarship (extendable to 4 years)
https://www.kuleuven.be
2025-03-31
[email protected]
false
true</is_doctoral_position
false</is_master_position
false
To apply for this job please visit kuleuven.be.