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Bosch Group invites a motivated intern to join as an HVAC Research intern for a 6-month period in Singapore. You will study refrigeration cycles, develop models, and apply machine learning to diagnose and predict anomalies in HVAC systems.
Ideal candidates are pursuing or have completed a master's in Mechanical or Energy Engineering, with strong Python and ML experience. This paid internship offers hands-on experience in a corporate environment and exposure to real-world projects.
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.
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.
We are looking for a motivated and enthusiastic individual to join Bosch for a fulfilling internship opportunity! This internship will provide valuable hands-on experience in a corporate environment, allowing you to contribute to ongoing projects while learning from experienced professionals. As aIntern HVAC Research youwill support the operations and learning initiatives in collaboration with experienced team members.
Study refrigeration cycle fundamentals and analyze HVAC system behavior under various operating conditions, fault scenarios, and anomalies including refrigerant charge deviations, airflow disturbances, and sensor abnormalities.
Develop first-principles and physics-guided models to characterize normal and abnormal system operation, and support simulation studies and experimental investigations to generate operational datasets.
Perform data analysis, feature extraction, and develop anomaly prediction and diagnostic algorithms using engineering knowledge combined with machine learning techniques.
Validate diagnostic methodologies using simulation and experimental results.
Participate in technical discussions on refrigeration systems, controls, and system diagnostics.
Prepare technical reports, research presentations, and project demonstrations for stakeholders.
Able to work full-time for a period of 6 months (Sep/Oct 2026 onwards)
Currently pursuing or recently completed a master's degree in Mechanical Engineering, Energy Engineering, Applied Physics, or a related discipline
Strong knowledge of HVAC systems, refrigeration cycles, controls, and Machine Learning fundamentals including anomaly detection and predictive modeling
Proficiency in Python with experience in AI/ML frameworks (PyTorch, TensorFlow, Scikit-learn) or technical computing environments (MATLAB, Dymola)
Self-motivated with strong problem-solving, communication, and presentation skills
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