PhD Student (EDB-IPP Contract), Thermal Comfort & HVAC Control

Job Description

Role Overview

We are seeking a highly motivated and talented PhD Student to join our Research and Development team under the EDB-IPP (Economic Development Board - Industrial Postgraduate Programme) contract. As a PhD Student, you will contribute to cutting-edge research focused on sustainability and wellbeing in residential homes, specifically in the domain of HVAC (Heating, Ventilation, and Air Conditioning) control. This role offers a unique opportunity to work in world-class laboratories at both NUS (National University of Singapore) and Bosch, contributing to innovative solutions for enhancing thermal comfort and minimizing energy consumption.

What you will do (Key Responsibilities)

• Conduct research on the use of sensor data collected from real users to monitor behavior and physiological information, along with indoor/outdoor environmental data.
• Characterize the needs of individual users in terms of comfort and wellbeing to inform the development of advanced controls for residential AC systems.
• Develop and validate behavior-based advanced controls for HVAC systems, with a primary focus on the bedroom environment and sleep quality optimization.
• Explore control optimization opportunities in other indoor areas.
• Collaborate with the team to explore the use of sensor systems, AI, and control principles to enhance thermal comfort and wellbeing while minimizing energy consumption.
• Contribute to publications and presentations to disseminate research findings.

Qualifications

What We're Looking For (Qualifications & Skills)

• Singaporean or Permanent Resident (to be eligible for EDB-IPP program). This is a requirement of the EDB-IPP program.
• Bachelor's or Master's degree in Computer Science, Engineering (Mechanical/Electrical), or a related field with AI and programming experience.
• Must fulfill the National University of Singapore (NUS) PhD program requirements.
• Excellent written and verbal communication skills.
• Curious, self-motivated, and a team player with a passion for tackling real-world problems through research.
• Relevant research experience in the field of HVAC, artificial intelligence, data science, control engineering, or building sustainability.

Bonus Points If You.

• Knowledge of air conditioning systems, modeling, and control principles.
• Awareness of recent research and development methods related to the sustainability of the built environment, thermal comfort, and energy management.
• Experience with deep learning frameworks such as Pytorch or Tensorflow and machine learning libraries such as scikit-learn.
• Experience with IoT hardware and sensors data collection & analysis, and cloud computing platforms.
• Strong academic record, with at least one publication in top-tier conferences or peer-reviewed journals. Fresh degree holders with excellent academic results are also encouraged to apply.

Additional Information

Why Join Us

At Bosch, we offer more than just a job we provide a platform for career growth and development. You'll 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
• Access to world-class research facilities at NUS and Bosch.
• Opportunity to work on cutting-edge research with real-world impact.
• Collaboration with experienced researchers and industry professionals.
• Support for your academic and professional development.

Next Steps Our recruitment process typically includes:

1. Application screening
2. Interview(s) with Hiring Manager, Business Leaders and HR

Ready to advance your research career with Bosch Apply Now!

Additional Information:

About the IPP PhD program:

The Singapore Economic Development Board (EDB) Industrial Postgraduate Programme (IPP) is an initiative by EDB to build a pool of postgraduate manpower in Singapore with critical R&D skill-sets for R&D roles in the industry through graduate training in a corporate R&D environment. EDB will provide funding support to the participating company and trainee, including the IPP trainee's tuition fees. The support duration for each trainee is capped at 4 years per PhD, or 2 years per MSc.