Bachelor Thesis
Semiconductor components play a crucial role in many electronic applications for the automotive and industrial market. Used as switches - having replaced classical electro-mechanical components ¿ they are designed to safely operate electrical loads (bulbs, valves...) even under fault conditions, e.g. short circuits occurring accidentally in the wiring harness of a car. Such fault conditions lead to substantial electrical power dissipation (up to 3 kW for time-spans of microseconds) in the switch, heating up the semiconductor device by more than 300 Kelvin. These temperature rises and gradients lead to substantial mechanical stresses and may lead to failure after many activations (¿active cycles¿), by plastic deformation and fracture of the micrometer-scaled layers. Infineon Technologies Austria (Villach) aims to improve its products, in terms of thermo-mechanical robustness by optimization of design and materials. In cooperation with the KAI competence centre in Villach a group of international researchers work on the characterisation of materials and the development of material models. It is planned to extend the competencies towards material behaviour by a PhD project in cooperation with the Erich Schmidt Institute / Montan University Leoben. We seek 1 Master Thesis: Computer Vision algorithms for extracting information from SEM images Job description: At KAI, we create Computer Vision solutions to efficiently extract information out of images. Your tasks: · Familiarization with the use case, the available software tools, and the existing computer vision methods on scanning electron microscopy (SEM) images · Requirements analysis in close collaboration with the data science team and domain experts on the implementation and results of the SEM image analysis to ensure compatibility with downstream activities · Development, implementation, and evaluation of various computer vision and machine learning methodologies for SEM image preparation, segmentation, and information extraction in an automated way · Documentation and communication of results Location: Villach Candidate profile: You successfully meet the requirements, if you are a motivated and committed student. You are best equipped for this task if you additionally offer: · Completed bachelor's degree in data science, mathematics, statistics, computer science, or similar · Communicative with joy in teamwork · Deep knowledge about computer vision and machine learning appreciated · Programming skills, e.g. Java, Python · Language skills: Fluent in English or German This position is subject to the collective agreement for workers and employees in the electrical and electronics industry (full-time), employment group D for master students (https://www.feei.at/wp-content/uploads/2024/04/minimum-salaries-white-collar-workers-2025.pdf%29https://www.feei.at/wp-content/uploads/2024/04/minimum-salaries-white-collar-workers-2025.pdf%29. Contact: Infineon Technologies Austria AG - Student Recruiting Das Mindestentgelt für die Stelle als Master Thesis: Computer Vision algorithms for extracting information from SEM images beträgt 2.922,16 EUR brutto pro Monat auf Basis Vollzeitbeschäftigung.