Robert-Bosch-Campus 1, 71272, Renningen, DE Vollzeit Unternehmensbeschreibung At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: We grow together, we enjoy our work, and we inspire each other. Welcome to Bosch. The Robert Bosch GmbH is looking forward to your application! Stellenbeschreibung Large pretrained models show potential for enabling rapid deployment of AI solutions in robotics outside of factories, e.g., in our homes, without additional training data. These models have strong generalization properties at scale, however, in domain specific situations they tend to lack the required level of accuracy. The goal of this PhD research program is to investigate how to specialize large pretrained models for domain specific task with the least amount of required training data, while still providing strong generalization performance. Primarily, we focus on learning robot handling skills (e.g., packaging, manipulation, etc.) relying on vision, text, and proprioceptive measurements, which is a common research standard, and for which large pretrained models already exist. Additionally, we aim to investigate multimodal sensor inputs, such as tactile, force-torque sensors and time-series data. Overall, the goal of this PhD research is to combine the benefit of large AI models and domain specific knowledge for learning dexterous and robust robot handling skills. Qualifikationen - Education: excellent Master degree in Computer Science, Electrical or Mechatronics Engineering, or comparable with excellent grades in the field of machine learning and robotics - Experience and Knowledge: very good programming skills in python and pytorch; experience with scientific writing; ROS skills and experience with publication of peer-reviewed research papers is beneficial - Personality and Working Practice: able to work independently - Languages: fluent in English Zusätzliche Informationen Please submit all relevant documents: CV, transcripts, motivation letter You want to work remotely or part-time - we offer great opportunities for mobile working as well as different part-time models or job-sharing. Feel free to contact us. Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or identity. Need support during your application? Kevin Heiner (Human Resources) Need further information about the job? Andras Gabor Kupcsik (Functional Department) Markus Spies (Functional Department)
PhD Domain-specific Adaptation of Large Pretrained Models for Robot Skills (Informatiker/in (Hochschule))