⛔ This position is no longer available.
University: University of Southern Denmark
Country: Denmark
Deadline: Not specified
Fields: Electrical Engineering, Computer Science, Applied Physics, Computational Science, Artificial Intelligence
Are you passionate about advancing the intersection of artificial intelligence and electromagnetics to solve real-world challenges in electronic system design? This postdoctoral opportunity at the University of Southern Denmark could be your next career-defining move.
About the University or Research Institute
The University of Southern Denmark (SDU) is a leading research institution located in Denmark, renowned for its innovative academic environment and strong emphasis on interdisciplinary collaboration. SDU has established itself as a hub for cutting-edge research in engineering, natural sciences, and technology, attracting scholars from around the globe. The university’s vibrant campus life, modern facilities, and close ties to industry make it an ideal destination for ambitious researchers seeking to make impactful contributions. Denmark, known for its high quality of life, robust welfare system, and progressive research culture, offers an excellent setting for international academics to thrive both professionally and personally.
Research Topic and Significance
The research project centers on developing advanced scientific machine learning methods for electromagnetics, with a particular focus on physics-informed neural networks (PINNs) and AI-based solvers for Maxwell and Helmholtz equations. The goal is to create fast surrogate models for predicting electromagnetic interference (EMI) at the printed circuit board (PCB) level, validated through both simulations and experimental measurements. This research is crucial in today’s electronics-driven world, where efficient and accurate electromagnetic modeling is essential for the design and optimization of reliable electronic systems. By integrating AI with physics-based modeling, the project aims to push the boundaries of what is possible in computational electromagnetics, enabling faster and more precise analysis that benefits industries ranging from telecommunications to automotive and aerospace.
Project Details
This postdoctoral position is offered within the EMC Group at SDU. The group is recognized for its contributions to electromagnetic compatibility (EMC) research and its innovative approach to applying AI in engineering problems. The successful candidate will work on:
– Developing and implementing physics-informed neural networks for electromagnetic (EM) problems.
– Creating AI-based solvers for Maxwell/Helmholtz equations.
– Building fast surrogate models for PCB-level EMI prediction.
– Validating models against industry-standard simulation tools (such as CST and HFSS) and experimental measurements.
The position was advertised by Professor Mohamed Kheir on LinkedIn. For more information, please visit:
https://www.linkedin.com/posts/mohamed-kheir-phd_we-are-hiring-postdoc-in-scientific-machine-share-7445537745554280449-UVpF
Candidate Profile
This position is ideal for candidates with a strong interdisciplinary background, particularly those who possess:
– Expertise in electromagnetics or computational electromagnetics, combined with experience in machine learning,
OR
– A background in scientific machine learning or physics-informed neural networks, with a keen interest in physics and electromagnetics.
– Excellent Python programming skills, especially with frameworks like PyTorch or similar.
– A solid understanding of electromagnetics and electromagnetic interference (EMI).
– Strong numerical and partial differential equations (PDE) background.
Candidates should demonstrate a passion for research at the interface of AI and physics, an innovative mindset, and the ability to work collaboratively in a dynamic research environment.
Application Process
Interested and qualified applicants are invited to submit their CV and list of publications as per the instructions in the official advertisement. Please refer to the following link for application details and further information:
https://www.linkedin.com/posts/mohamed-kheir-phd_we-are-hiring-postdoc-in-scientific-machine-share-7445537745554280449-UVpF
Conclusion
This postdoctoral position at the University of Southern Denmark offers a unique platform to contribute to transformative research at the crossroads of AI and electromagnetics. If you are eager to work in an internationally recognized research environment and to make a tangible impact on the future of electronic system design, do not miss this opportunity. Interested candidates are encouraged to apply promptly and to explore similar opportunities to further their academic and professional growth.
Questions & Answers
Question: What makes Denmark an attractive destination for postdoctoral researchers?
Denmark offers a high standard of living, a supportive research ecosystem, and a collaborative academic culture. International researchers benefit from excellent work-life balance, modern infrastructure, and opportunities to engage with leading experts in their fields.
Question: Why is the integration of AI and electromagnetics important for industry?
Combining AI with electromagnetics enables faster and more accurate modeling and design of electronic systems. This integration is vital for industries such as telecommunications, automotive, and aerospace, where rapid innovation and reliability are paramount.
Question: What programming skills are expected for this position?
Candidates should be proficient in Python, with experience using machine learning frameworks such as PyTorch or similar tools, as well as a solid grasp of numerical methods and PDEs.
Question: How can I learn more about the research group and ongoing projects?
You can find more details about the EMC Group and the advertised position via the LinkedIn post provided above.
Want to calculate your PhD admission chances? Try it here:
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