Robert Bosch (SEA) Pte Ltd – Intern, IoT Engineer: Air Quality

$1,000 - 1,200 monthly Intern/TS
This position is already closed
Date Listed
20 May 2022
Experience Level
Entry Level / Junior Executive
Profession
Engineering
Industry
Electronics
Job Period
Immediate Start - Flexible End
Location Name
11 Bishan Street 21, Singapore 573943, Singapore
Address
11 Bishan Street 21, Singapore 573943
Map
Company Profile

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.”

Job Description

The candidate will work on a project related to IoT based air filter sensor to ensure smooth operation of tests, results collection, and analysis. The candidate will support the improvement of existing H/W and S/W for a IOT sensor system and assist the team in the refinement of existing AI-based algorithms. Specifically, the candidate will support the team on:

  • Sensor hardware support, e.g., LED, electronics, mechanical faults as and when they happen.
  • Sensor software support, e.g., data processing & storage, and cloud connectivity.
  • Back-end data processing and display.
  • Analyze results with statistical tools to provide insights for further test and algorithms improvement.
  • Liaising with participants regularly and when needed to ensure data from sensor modules are properly displayed.

Qualifications

  • Able to work full time for at least a period of 6 months (June – Dec 2022)
  • Undergraduate/graduate studies in Electrical/Computer Engineering or equivalent.
  • Experienced in statistical data analysis.
  • In depth understanding of computer programming.
  • Knowledge of sensors.

 

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