AI HVAC Control Research Scientist_CR
Bosch View all jobs
- Shanghai
- Permanent
- Full-time
- Drive innovation in the area of sustainable HVACs domain, focusing on advanced control strategies and solutions.
- Co-create with business units in relation to sustainability initiatives, contribute to the long-term product portfolio of Bosch, perform customer interviews, formulate problem statements, and generate innovation pitching and research proposals.
- Develop and implement AI-based algorithms for thermal systems controls such as HVACs and Heat Pumps to optimize for energy efficiency, user comfort, and grid stability.
- Develop smart solutions to ensure efficient and reliable operations of HVAC appliances, such a predictive maintenance and anomaly detection for the most critical issues.
- Engage in model-based engineering for energy systems, relevant sensor technologies, data analytics, and laboratory activities, including the design of experiments for proof-of-concept and prototype development.
- Build cooperation, assess, and identify “Best-In-Class” within local institutions and universities for potential research and innovation collaboration.
- Regular alignment with Strategic Research Portfolio Owner, quarterly project review updates, stakeholder management, and idea pitching via the Bosch Innovation Framework.
- PhD degree in an Engineering field, specializing in Control Systems, Mechanical Engineering, or a related discipline with a thesis and projects focused on AI/ML applications for physical systems.
- Working experience as an R&D engineer or academic staff in thermal system modeling, simulation, and control, with a proven track record of applying AI/ML for control research.
- In-depth understanding of HVAC system physics and modern control theory (e.g., Model Predictive Control, Reinforcement Learning).
- High awareness of the latest developments in AI for control and their application to energy systems, with the ability to translate research into functional prototypes for customer demonstration.
- Experience with Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Passion for innovation, an entrepreneurial spirit, and excellent written and verbal communication skills.
- Able to work both independently and in a team, with a good working attitude and the ability to adapt in a dynamic environment.