PhD Industry Sabbatical at the Bosch Center for Artificial Intelligence

Company Description

At Bosch, we are shaping the future by inventing top-quality technologies and services that ignite enthusiasm and enhance people's lives. Our commitment to our associates is rock-solid: we grow together, take pleasure in our work, and inspire one another. Join us and experience the difference.

Robert Bosch GmbH is looking forward to receiving your application!

Job Description

The research team at the Bosch Center for Artificial Intelligence (BCAI) offers the opportunity for PhD students currently enrolled in machine learning, computer vision, or a related field, to conduct an 'industry sabbatical' lasting 3-12 months. At BCAI, we lay the groundwork to achieve real-world impact through pioneering research focusing on safe, robust, data-efficient, and explainable AI. We formulate and implement AI for smart, interconnected, and autonomous technologies across Bosch business sectors. During the industry sabbatical, you will have the opportunity to develop and implement innovative algorithms, and evaluate them using multimodal open-source and Bosch datasets. In collaboration with BCAI researchers, you will conduct original research, theoretical investigations, and aim to publish at top ML conferences. The objective is to define the topic in a way that aligns closely with your PhD subject.

Potential research areas include:

• Foundational models for perception (e.g., training models using modalities such as vision, radar, and lidar);
• Knowledge distillation from large (foundation) models to hardware-efficient models for embedded applications (e.g., utilizing student-teacher techniques or network architecture search-based approaches);
• Neural radiance field (NeRF) methods for modalities beyond vision (e.g., radar, lidar);
• Out-of-distribution generalization (e.g., auditing AI models on rare and out-of-distribution data, developing methods for detecting such data, and enhancing the model's ability to handle it);
• Generative data augmentation and validation of downstream deep learning models (e.g., improving synthesis quality and controllability, efficient sampling of generative models, quick adaption of large-scale generative models to new domains);
• Large language models (e.g., identifying and counteracting hallucinations, NLP applications on Bosch data, combining text and other sensor modalities, conversational AI);
• Neuro-symbolic AI (e.g., learning and completing knowledge graphs, combinations of NLP and knowledge graphs, answer set programming);
• Bayesian machine learning (e.g., probabilistic inference, causal inference, graphical models, etc.);
• Behavior learning (e.g., predictions of dynamic agents, driver models, long-tailed learning challenges);
• Robot learning (e.g., perception for grasping and manipulation, semantically-informed robot decision making);
• Reinforcement learning (e.g., meta reinforcement learning, combining offline and online methods);

Please specify 1 to 3 topics from the above list or clearly state your field of interest in your application.

Qualifications

Competitive applicants will have a history of research excellence, a strong recommendation from a research supervisor, excellent programming skills, and the capability to work in a team environment.

Minimum qualifications:

• Currently enrolled in a PhD program in computer science or a related technical field
• Master's degree in computer science, mathematics, physics or similar fields
• Research experience in the areas of machine learning, deep learning, natural language understanding, robotics, or computer vision from previous internships, work, personal projects, and/or lab work
• Good publication record, at least one publication at tier-1 conferences in the field of machine learning, robotics, natural language processing or computer vision (e.g., NeurIPS, ICML, ACL, CVPR, ICLR, etc.)
• Demonstrated programming skills, particularly in Python
• Strong team player with excellent English skills (written and spoken)

Additional Information

Please submit all relevant documents (including curriculum vitae, certificates, publication record)

You can find more information about the Bosch Center for Artificial Intelligence here:

Need support during your application process?
Contact Kevin Heiner (Human Resources)
+49 711 811 12223