PhD Topic Material behaviour of semiconductor devices during real time operation

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 PhD Topic Material behaviour of semiconductor devices during real time operation Job Description: In your new role you will: º Develop, implement and evaluate machine learning methods for the automated processing, segmentation and information extraction from image data º Familiarize yourself with various use cases in the power semiconductor industry º Carrying out requirements analyses in close collaboration with the data science team and subject matter experts º Familiarize with available software tools and data pipelines º Documentation and communication of results Location: Technologiepark Villach Candidate Profile: You successfully meet the requirements, if you are a motivated and committed student from the field of Artificial Intelligence, Machine Learning or similar. You are best equipped for this task if you additionally offer: º Experience in the fields of computer vision, data structures, data science and data visualisation º Advanced experience in Python programming (including version control), with a willingness to learn other programming languages (e.g. C++, Java, R) º Analytical and problem-solving skills to identify challenges and implement creative, data-driven solutions º Fluency in English and a basic knowledge of German This position is subject to the collective agreement for workers and employees in the electrical and electronics industry (full-time), employment group B for Bachelor students (). Contact: Infineon Technologies Austria AG - Student Recruiting Please direct your application to: Dipl. Ing. Josef Fugger KAI Kompetenzzentrum Automobil- und Industrieelektronik GmbH Europastrasse 8 9524 Villach / Österreich Das Mindestentgelt für die Stelle als PhD Topic Material behaviour of semiconductor devices during real time operation beträgt 2.800,00 EUR brutto pro Monat auf Basis Vollzeitbeschäftigung.