PhD Student (EDB-IPP Contract)

Role Overview

We are seeking a highly motivated and skilled PhD Student to join our global research unit. Based in Singapore our team is pioneering innovative solutions in sustainability and wellbeing within residential environments with a particular emphasis on intelligent HVAC control systems. You will collaborate on groundbreaking research that harnesses sensor technology artificial intelligence and advanced control principles to optimise thermal comfort and enhance occupant wellbeing whilst reducing energy consumption for cooling.

What you will do (Key Responsibilities)

• Collect analyse and interpret sensor data from real-world residential environments to understand user behaviour patterns throughout the day
• Integrate physiological monitoring data with indoor and outdoor environmental metrics to develop comprehensive user comfort profiles
• Characterise individual user needs and preferences regarding thermal comfort and overall wellbeing
• Design and develop behaviour-based advanced control algorithms for residential HVAC systems that deliver personalised optimal indoor environments
• Focus on optimising bedroom environments to enhance sleep quality whilst exploring control opportunities across other residential spaces
• Conduct rigorous validation and testing of developed control strategies in real-world settings
• Contribute to cutting-edge research that bridges the gap between occupant behaviour physiological wellbeing and energy efficiency
• Collaborate with world-class research teams at NUS and Bosch to translate research findings into practical applications

This position offers an exceptional opportunity to conduct pioneering research in behaviour-based HVAC control systems working alongside leading researchers and industry partners to create meaningful impact in residential sustainability and occupant wellbeing.

Qualifications :

What Were Looking For (Qualifications & Skills)

Essential Qualifications:

• Singaporean citizen or PR status (required for EDB-IPP program eligibility).
• Bachelors or Masters degree in Computer Science Engineering Mechanical Engineering or Electrical Engineering with a foundation in AI and programming.
• Meet the National University of Singapore (NUS) PhD programme admission requirements.
• Strong written and verbal communication abilities.
• Demonstrated curiosity self-motivation and collaborative spirit with a genuine passion for solving real-world challenges through research.
• Some research exposure or practical experience in areas such as HVAC systems artificial intelligence data science control engineering or building sustainability.

Qualities That Stand Out:

• Familiarity with air conditioning systems modeling techniques and control principles.
• Interest in current research trends and best practices in sustainable building design thermal comfort optimization and energy management.
• Hands-on experience with deep learning frameworks (PyTorch TensorFlow) or machine learning libraries (scikit-learn).
• Background working with IoT sensors data collection methodologies and cloud computing platforms.
• Strong academic performance with published work in reputable conferences or peer-reviewed journals.
• Recent graduates with outstanding academic credentials are highly encouraged to applywe value potential and enthusiasm as much as experience.

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:

1. Application screening
2. Interview(s) with Hiring Manager Business Leaders and HR
3. Business case or technical assessment (where relevant)

Ready to grow your career with Bosch Apply Now!

Remote Work :

No

Employment Type :

Full-time