Electrical Engineering Researcher
6 hours ago
KTH Royal Institute of Technology in Stockholm is seeking a highly motivated and skilled doctoral student to join our research team in the field of Electrical Engineering.
Project OverviewThe Vinnova-funded project WELD-AID aims to revolutionize quality assurance in welded structures by integrating Artificial Intelligence (AI) and digitalization. As a doctoral student, you will contribute to the development of hybrid models involving convolutional neural networks (CNNs) for weld localization and physics-informed neural networks (PINN) for weld quality assessment.
Responsibilities- Develop and implement advanced machine learning methods for weld imperfection detection and welding process optimization.
- Collaborate with industry partners to ensure the practical applicability of the developed methods.
- Contribute to the development of a research plan and participate in the project's progress monitoring.
To be eligible for this position, you must have a strong background in Electrical Engineering or a related field, with a focus on machine learning and AI. You should also have excellent programming skills in Python and experience with deep neural networks.
What We OfferKTH Royal Institute of Technology offers a dynamic and international research environment, with access to state-of-the-art facilities and collaboration opportunities with industry partners. As a doctoral student, you will have the opportunity to develop your skills and expertise in a cutting-edge field, with the potential for publication and presentation of your research at international conferences.
How to ApplyTo apply for this position, please submit your application through KTH's recruitment system, including your CV, diplomas, and certificates of language proficiency. We look forward to receiving your application.
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