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 hoursContinuous learningCareer mobility across functions and regionsWell-being support and employee assistance programsAttractive compensation including bonus schemes and insuranceInclusive culture built on respect, collaboration, and empowermentAccess 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 :
Application screeningInterview(s) with Hiring Manager, Business Leaders and HRReady 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.