About this role
The Fraunhofer-Gesellschaft (www.fraunhofer.de) is one of the world's leading organizations for application-oriented research. 74 institutes develop pioneering technologies for our economy and society – more precisely, 30,000 people from engineering, science, administration, and IT. They know: Anyone who joins Fraunhofer wants to and can make a difference. For themselves, for us, and for the markets of today and tomorrow. At the Fraunhofer Institute for Physical Measurement Techniques IPM, we work every day to make optical technologies usable for specific measurement tasks. At the interface between science, research, and industry, we develop tailor-made solutions and stand for application-oriented research at the highest level. In the Object and Shape Detection department, mobile measurement systems are developed for surveying infrastructure ranging from roads and railways to complex indoor environments. The development process covers every step. From design and engineering to system integration and the automatic interpretation of measurement data. A cornerstone of these systems is the automated, AI-driven interpretation of 3D point cloud data, which demands high-quality, training datasets and idealy model interpretability. The primary objective of this thesis is to integrate explainability-driven approaches into the training pipeline. These could be based on 3D uncertainty estimation to pinpoint specific spatial regions or concept bottleneck models to inspect intermediate representations of the model. These are only examples, and the thesis is not strictly limited to these approaches. By applying the chosen methods to different domain-specific benchmarks, the resulting thesis will bridge the gap between model interpretability and dataset quality, delivering robust, efficient, and transparent 3D point cloud solutions. Hier sorgst Du für Veränderung You research the state of the art in the field of explainability for 3D models. You implement algorithms and/or 3D models for explaining training processes. You work with existing software and established pipelines. You conduct tests and experiments and evaluate the results. You carefully document your findings. You write your master's thesis on this topic. Hiermit bringst Du Dich ein You are communicative, responsible, and reliable. You are enrolled in a master's program in a STEM field, e.g., computer science, mathematics, physics, or a comparable field of study. You work independently, conscientiously, and with a clear focus on goals. You have programming skills in Python and are experienced with PyTorch, Git, and Docker. You communicate confidently in English or German. Was wir für Dich bereithalten Supervision by experienced researchers in the field of 3D geodata analysis Professional development opportunities & individual career planning Work-life balance through flexible working hours Modern working environment Job ticket Health & sports offers On-site canteen with freshly prepared meals every day (E-)car and bicycle parking spaces Wir wertschätzen und fördern die Vielfalt der Kompetenzen unserer Mitarbeitenden und begrüßen daher alle Bewerbungen – unabhängig von Alter, Geschlecht, Nationalität, ethnischer und sozialer Herkunft, Religion, Weltanschauung, Behinderung sowie sexueller Orientierung und Identität. Schwerbehinderte Menschen werden bei gleicher Eignung bevorzugt eingestellt. Die Vergütung richtet sich nach der Gesamtbetriebsvereinbarung zur Beschäftigung der Hilfskräfte. Mit ihrer Fokussierung auf zukunftsrelevante Schlüsseltechnologien sowie auf die Verwertung der Ergebnisse in Wirtschaft und Industrie spielt die Fraunhofer-Gesellschaft eine zentrale Rolle im Innovationsprozess. Als Wegweiser und Impulsgeber für innovative Entwicklungen und wissenschaftliche Exzellenz wirkt sie mit an der Gestaltung unserer Gesellschaft und unserer Zukunft. Bereit für Veränderung? Dann bewirb Dich jetzt, und mach einen Unterschied! Nach Eingang Deiner Online-Bewerbung erhältst Du eine automatische Empfangsbestätigung. Dann melden wir uns schnellstmöglich und sagen Dir, wie es weitergeht. Saskia Sailer [email protected] +49 761 8857 307 Fraunhofer-Institut für Physikalische Messtechnik IPM www.ipm.fraunhofer.de Kennziffer: 85383