Conduct research and engineering in eXplainable AI (XAI) and machine learning for related business domains of autonomous driving, connected vehicles, Industry 4.0, IoT, car multimedia etc.
Work with an international team of experts to transfer the results of advanced research to Bosch business units. When necessary, build prototypes to verify research ideas.
Apply research results to real-world use cases with high quality implementation. Integrate the resulting systems/software into existing Bosch platforms.
Actively scout for the latest technology and predict market trends by monitoring news, technical events and seminars.
Provide expert opinions on relevant technology areas to management team to facilitate strategic planning, R&D roadmap development, and business investment.
Summarize research findings in high-quality paper and/or patent submissions.
Ph.D in Computer Science or related fields
3+ years of research experience or equivalent graduate research experience for eXplainable Artificial Intelligence (XAI), machine learning and deep learning
2+ years of industry experience in R&D for deep learning, eXplainable Artificial Intelligence (XAI) algorithms & systems
Experience with one or more programming languages for machine learning applications (e.g. Python, C++)
Strong publication records in top venues of machine learning, deep learning and computer vision (e.g., NeurIPS, ICML, ICRL, CVPR, IJCV, AAAI, and TVCG)
Deep knowledge in machine learning and deep learning, with applications to eXplainable AI, computer vision, high-dimensional data analysis, and event sequence mining
Familiar with one or more main-stream machine learning platforms (e.g., TensorFlow, PyTorch, and scikit-learn)
Knowledge in full stack web development on both frontend (e.g., React, Vue.js, and D3.js) and backend (e.g., Flask, Django)
Good communication and teamwork skills
Strong leadership skills to drive research topics
Robert Bosch Tool Corporation