PhD Student (EDB-IPP Contract) at Bosch Group

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

14 Oct, 26

Salary

0.0

Posted On

16 Jul, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, Programming, HVAC Systems, Data Science, Control Engineering, Building Sustainability, Deep Learning, PyTorch, TensorFlow, Scikit-learn, IoT Sensors, Cloud Computing, Data Analysis, Thermal Comfort Optimization, Physiological Monitoring, Research

Industry

Software Development

Description

Company Description 🏢 About Bosch Group The Bosch Group is a leading global supplier of technology and services. It employs roughly 418,000 associates worldwide. The company generated sales of 90.3 billion euros in 2024. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. With technology that is “Invented for life,” Bosch wants to help improve quality of life and conserve natural resources. The Bosch Group comprises Robert Bosch GmbH and its roughly 490 subsidiary and regional companies in over 60 countries. At 136 locations across the globe, Bosch employs some 87,000 associates in research and development. 🏢 About Robert Bosch (South East Asia) As the Bosch Group's regional headquarters in Singapore for Southeast Asia, Robert Bosch (South East Asia) Pte Ltd has represented the Group's interests across the region since 1923. With diversified businesses in Mobility Aftermarket, Industrial Technology, Consumer Goods, and Building Technology. Robert Bosch (SEA) Pte Ltd includes the Asia Pacific headquarters for Mobility Aftermarket, Building Technology, and Industrial Technology, as well as the Southeast Asia R&D setup for Corporate Research, Advance Engineering Centre, and Bosch Business Innovations, Bosch's in-house innovation and startup incubation network. At Bosch, we are committed through our EVP ensuring all our associates to GROW, ENJOY and INSPIRE during their journey with us. Job Description 💼 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 We're Looking For (Qualifications & Skills) Essential Qualifications: Singaporean citizen or PR status (required for EDB-IPP program eligibility). Bachelor's or Master's 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 apply—we value potential and enthusiasm as much as experience. Additional Information 💎 What’s In It for You We don’t just offer jobs—we build careers. At Bosch, 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 📅 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! Legal Entity: Robert Bosch (SEA) Pte Ltd

Responsibilities

The role involves collecting and analyzing sensor and physiological data to develop personalized, behavior-based HVAC control algorithms for residential environments. The goal is to optimize thermal comfort and sleep quality while reducing energy consumption in collaboration with NUS and Bosch.