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Master Thesis - AI-Assisted PCB Development

ESSITY ITALY S.P.A. Gothenburg, Sweden
Full-time On-site work

Publication date: 01/11/2026

Valid until: 09/11/2026

Essity is offering a Master Thesis combining academic research with hands-on PCB development, investigating whether AI-assisted engineering tools can improve productivity without compromising engineering quality and trustworthiness. The thesis includes a literature and market review and an experimental case study. It does not include development of new AI models, full product industrialization, certification or regulatory approval. The project is part of the Hardware Center of Excellence at Essity, working with connected products and electronic product development, with stakeholders from TENA iQ and Tork Vision Cleaning. Applications must be submitted online; applications via email are not accepted. Students applying as a pair must submit one application each and state which person they intend to do the thesis with.

Responsibilities

Perform a structured technology assessment of AI-assisted tools relevant to electronic development, including schematic capture, PCB layout, component selection, simulation and engineering documentation; select one or more promising tools and apply them in a representative PCB design case; collaborate with experienced engineers and receive technical supervision; define evaluation criteria and compare traditional and AI-assisted workflows; present evidence-based conclusions to relevant development teams; deliver a reproducible evaluation method, a completed PCB design case and recommendations for future use of AI-assisted tools within Essity

Requirements

Master's student in electrical engineering, electronics, embedded systems, mechatronics, engineering physics or a related field; good understanding of electronic design; interest in PCB development, engineering methods and AI; curious, structured and comfortable critically evaluating technical performance and limitations; based in the Gothenburg area or able to arrange accommodation locally for the duration of the project

Nice to have

Experience with EDA tools; schematic design; PCB layout; simulation; scripting; data analysis or research methods
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