Intern, HVAC Research

💼 Role Overview

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 a Intern HVAC Research you will support the operations and learning initiatives in collaboration with experienced team members.

💎 Why Intern With Us?

We don’t just offer jobs—we build careers. At Bosch, you’ll benefit from:

• 🧠 Real-world experience apply classroom knowledge to practical, real-life work scenarios

• 📈 Skill-development build technical and soft skills while being part of the team “in-action”

• 💼 Opportunities to network and learn from industry professionals

• 🤝 Inclusive culture built on respect, collaboration, and empowerment

🎯 What you will do (Key Responsibilities)

• 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.

👤 What We're Looking For (Qualifications & Skills)

• 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

📅 Next Steps

Our recruitment process typically includes:

1. Application screening

2. Interview(s) with Hiring Manager, Business Leaders and HR

Ready to grow your career with Bosch?