HVAC R&D Intern: ML-Driven Diagnostics & Analytics

Bosch; Singapore; On-site; SGD 20,000 - 33,000; Full time

Benefits offered by this job

Mentorship by senior engineers

Hands-on project work

Networking with Bosch SEA

Job summary

Bosch invites an intern to join our HVAC research team in Singapore for a six-month immersive internship. You will work under experienced engineers, contribute to ongoing projects, and gain hands-on experience on refrigeration cycles, system controls, and data-driven diagnostics.

The role emphasizes learning from industry professionals, conducting experiments, and developing publishable results. Bachelor’s/Master’s students in relevant fields will benefit from mentorship and real-world

Qualifications

• Full-time for 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 ML fundamentals including anomaly detection and predictive modeling.
• Proficiency in Python with experience in AI/ML frameworks or technical computing environments.
• Self-motivated with strong problem-solving, communication, and presentation skills.

Responsibilities

• Study refrigeration cycle fundamentals and analyze HVAC system behavior under various operating conditions.
• Develop first-principles and physics-guided models to characterize normal and abnormal operation.
• Perform data analysis, feature extraction, and develop anomaly prediction and diagnostic algorithms.
• Validate diagnostic methodologies using simulation and experimental results.
• Participate in technical discussions on refrigeration systems, controls, and diagnostics.
• Prepare technical reports, research presentations, and project demonstrations for stakeholders.

Skills

HVAC systems knowledge

Python for ML

ML fundamentals

Communication skills

Education

Masters in Mechanical Engg / Energy Engg / Applied Physics or related field

Tools

Python (PyTorch, TensorFlow, Scikit-learn)

MATLAB

Dymola

Job description

Bosch invites an intern to join our HVAC research team in Singapore for a six-month immersive internship. You will work under experienced engineers, contribute to ongoing projects, and gain hands-on experience on refrigeration cycles, system controls, and data-driven diagnostics.

The role emphasizes learning from industry professionals, conducting experiments, and developing publishable results. Bachelor’s/Master’s students in relevant fields will benefit from mentorship and real-world