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Bosch Building Technologies Europe Hiring! Full Time Intern, HVAC Research in - Ricebowl

Intern, HVAC Research

Bosch Building Technologies Europe

Singapore

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Working Location

  • Singapore

Job Description

Responsibilities

Your tasks

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.

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.

Your profile

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

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