Robert Bosch (South East Asia) Pte Ltd is a regional subsidiary of the Bosch Group, representing the Group's interests in Southeast Asia where it is present in all ASEAN member countries. Business operations in these countries report to Robert Bosch (South East Asia) Pte Ltd, located in Singapore. Bosch has been present in Southeast Asia since 1919, with diversified businesses in the company's four business sectors - Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. Bosch's strategic objective is to improve quality of life with products and services that are innovative and spark enthusiasm. In short, Bosch creates technology that is “Invented for life.”
At Bosch, we care. For you, our business, and our environment.
Let’s turn visions into reality. At Bosch,we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility or industry. Our responsibility goes far beyond business. We’re independent of stock markets and bound to the purpose of the Robert Bosch Foundation; our success directly benefits society, the environment, and future generations. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
Let’s be remarkable.
Job Description
The candidate will be working on experimental & data analytics (AI/ML) activities for the development of an intelligent anomaly detection concept for Residential Air Conditioners (RAC). Ensuring a smooth operation of RAC tests, data collection, analysis, and validation of concepts related to energy management or robustness related anomalies (refrigerant leakage, heat exchanger fouling, sensor faults) are the expectations and expected tasks are listed below:
- Conducting RAC tests in Robert Bosch SEA Corporate Research HVAC testbed/lab
- Physical simulation of anomaly cases on testbed, data acquisition, processing, storage and investigation
- Data post-processing, develop anomaly detection model, monitor model performance
- Execute and analyze experiment results with statistical tools to provide insights for further test and algorithm improvements related to predictive maintenance, waste of energy and robust operation of RACs
Qualifications
- Able to work full time for a period of 6 months from Oct 2023 or as agreed
- 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.
- Applicant must be enrolled throughout internship period, or plan to pursue further studies
- For foreign students studying in Singapore on Student's Pass, you must fulfill the following requirements to be able to do full-time internship during the school term:
- You are a full-time matriculated or registered student in one of the approved institutions.
- You hold a Student Pass issued by the Immigration and Checkpoints Authority (ICA).
- The internship is under an industrial attachment programme conducted by your university or educational institution. The industrial attachment can be either compulsory or elective but it must contribute towards your graduation requirements.
- For more information: http://www.mom.gov.sg/passes-and-permits/work-pass-exemption-for-foreign-students
- For foreign students studying overseas, you must be eligible for the Work Holiday Programme (WHP)
- Between 18 to 25 years old (inclusive) as of date of WHP application
- Undergraduate or graduate from university in Australia, France, Germany, Hong Kong, Japan, New Zealand, Switzerland, United Kingdom, United States
- University recognized by the government of the respective countries)
- For more information: http://www.mom.gov.sg/passes-and-permits/work-holiday-programme/eligibility
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