- Developing algorithms to minimize RAC energy cost.
- Model green energy supply ( from a PV system) and develop solutions to maximize green energy use
- Validate concepts in Robert Bosch SEA Corporate Research HVAC testbed/lab and/or in virtual environment
- Execute and analyze experiment results with statistical tools to provide insights for further test and algorithm improvements
- RL and explainable AI
- Energy Management feature development for VRF and RAC
- Able to work full time for a period of 6 months (Jul/Aug 2024 till Feb 2025)
- Educational background in Mechanical/Electrical/Computer Engineering or equivalent.
- Experienced in statistical data analysis and ML/AI tools
- Basic understanding of thermodynamics, thermal cycles, heat & mass transfer
- Knowledge of sensors, data acquisition, processing, and visualization
- Willing to perform hands-on experiments.
- Candidate should fulfil the visa requirements for employment in Singapore
- Applicant must be enrolled throughout internship period, or plan to pursue further studies
- For foreign students studying overseas, you must be eligible for the Work Holiday Programme (WHP)
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Intern, MSc student for Sustainable HVACs - Singapur, Singapore - Bosch
Description
Job Description
The candidate will be working on experimental & data analytics (AI/ML) activities for the development of an intelligent energy management solutions for Residential Air Conditioners (RAC). Developing optimization and AI based algorithms for energy management, ensuring a smooth operation of RAC tests, data collection, analysis, and validation are the expectations and possible expected tasks are listed below:
Qualifications
Additional Information
Eligibility:
