AI Control Research Scientist
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Job Location:
Monthly Salary:
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Role Overview
We are seeking a highly motivated and skilled Research Scientist to join Boschs Research and Development team. This role offers an exciting opportunity to explore the usage of AI and advanced solutions in the field of HVAC engineering and control. As an AI Control Research Scientist - Associate you will collaborate with the research team business units and external partners to develop cutting-edge technologies and commercialize innovative solutions focusing on the domain of sustainability.
What you will do (Key Responsibilities)
- Drive innovation in the area of Urban Solutions and Sustainability particularly in the Sustainable HVACs domain focusing on advanced control strategies using AI and machine learning.
- 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 control algorithms for thermal systems such as HVACs and Heat Pumps to optimize for energy efficiency user comfort and grid stability.
- 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.
Qualifications :
What Were Looking For (Qualifications & Skills)
- Min. Master or 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.
Additional Information :
Whats In It for You
We dont just offer jobswe build careers. At Bosch youll benefit from:
- Flexible working hours
- Continuous learning
- Career mobility across functions and regions
- Well-being support and employee assistance programs
- Attractive compensation including bonus schemes and insurance
- Inclusive culture built on respect collaboration and empowerment
Next Steps
Our recruitment process typically includes:
- Application screening
- Interview(s) with Hiring Manager Business Leaders and HR
- Business case or technical assessment (where relevant)
Ready to grow your career with Bosch Apply Now!
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Laboratory Experience
- Machine Learning
- Python
- AI
- Bioinformatics
- C/C++
- R
- Biochemistry
- Research Experience
- Natural Language Processing
- Deep Learning
- Molecular Biology
About Company
Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture pushbelt for continuously variable transmissions (CVT) ... View more
