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Third-cycle subject: Electrical Engineering
WELD-AID is a Vinnova-funded project that aims to revolutionize quality assurance in welded structures by integrating Artificial Intelligence (AI) and digitalization. Through collaboration with industry partners, it seeks to reinforce Sweden as a global leader in designing and manufacturing welded products, ensuring superior mechanical performance and production quality. The project will explore using advanced machine learning (ML) methods, including deep neural networks (DNNs), to detect weld imperfections and optimize the welding process. Within the grander research project, the advertised doctoral student position will develop hybrid models involving convolutional neural networks (CNNs) for weld localization and use physics-informed neural networks (PINN) for weld quality assessment, including service life predictions for welded structures.
Supervision: Professor Joakim Jaldén (Division of Information Science and Engineering) will be the main doctoral supervisor, with support from Professor Zuheir Barsoum (Division of Material and Structural Mechanics) as co-supervisor.
To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:
In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.
In order to succeed as a doctoral student at KTH, you need to be goal-oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:
A successful candidate should have documented good practical and theoretical knowledge of state-of-the-art machine learning methods, including deep neural networks, and be a proficient programmer, particularly in Python. Knowledge of lower-level programming languages (C/C++, Cuda) will be considered meritorious.
Knowledge of structural mechanics or materials science is not required for this particular doctoral position but will also be considered a merit.
It is advantageous if the candidate can express themselves well in Swedish in speech and writing, as this facilitates cooperation with the Swedish industry.
After the qualification requirements, great emphasis will be placed on personal skills.
Target Degree: Doctoral Degree
Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g., training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time.
Contact information for union representatives.
Contact information for doctoral section.
Apply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.
Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time).
Applications must include the following elements:
Striving towards gender equality, diversity, and equal conditions is both a question of quality for KTH and a given part of our values.
For information about processing of personal data in the recruitment process.
According to The Protective Security Act (2018-585), the candidate must undergo and pass security vetting if the position is placed in a security class. Information regarding whether the position is subject to such a classification will be provided during the recruitment process.
We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.
Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key center of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers, and faculty from around the world. Our research and education cover a wide area, including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history, and philosophy. Read more here.
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