Machine Learning Specialist for Manufacturing

1 day ago


Stockholm, Stockholm, Sweden KTH Royal Institute of Technology Full time
Machine Learning Applications in Manufacturing
We are seeking a highly skilled doctoral student to join our research team at KTH Royal Institute of Technology, focusing on developing machine learning applications for the manufacturing industry. As a doctoral student, you will work on developing hybrid AI models for detecting weld imperfections and optimizing welding processes.

Key Responsibilities
The successful candidate will develop and train CNNs for weld localization and PINNs for weld quality assessment and service life prediction. You will collaborate with industry partners to integrate machine learning methods into industrial processes and present your research at international conferences.

Eligibility Requirements
To be eligible for this position, you must have a master's degree or equivalent experience in electrical engineering, computer science, or a related field. You should have documented knowledge of state-of-the-art machine learning methods, including deep neural networks. Proficiency in Python programming is essential, and knowledge of lower-level programming languages such as C/C++ or CUDA is desirable.

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