Sembcorp Industries Ltd – Data Science (Wind Turbines)

Company
Sembcorp Industries Ltd
sembcorp.com
Designation
Data Science (Wind Turbines)
Date Listed
20 Jul 2022
Job Type
Entry Level / Junior Executive
Part/TempIntern/TS
Job Period
Immediate Start, For At Least 6 Months
Profession
Others / General Work
Industry
Environmental Services
Location Name
30 Hill Street, Singapore
Address
30 Hill St, Singapore 179360
Map
Allowance / Remuneration
$800 - 1,000 monthly
Company Profile

Sembcorp Industries (Sembcorp) is a leading energy and urban solutions provider, driven by its purpose to do good and play its part in building a sustainable future.

Headquartered in Singapore, Sembcorp leverages its sector expertise and global track record to deliver innovative solutions that support the energy transition and sustainable development. By focusing on growing its Renewables and Integrated Urban Solutions businesses, it aims to transform its portfolio towards a greener future and be a leading provider of sustainable solutions.

Sembcorp has a balanced energy portfolio of 16.5GW, with 7.0GW of gross renewable energy capacity comprising solar, wind and energy storage globally. The company also has a proven track record of transforming raw land into sustainable urban developments, with a project portfolio spanning over 13,000 hectares across Asia.

Sembcorp is listed on the main board of the Singapore Exchange. It is a constituent stock of the Straits Times Index and sustainability indices including the FTSE4Good Index and the iEdge SG ESG indices. 

Job Description

Project: Anomaly detection in acoustics signals from Wind turbines utilising IoT sensors.

This is an internship project to build an AI based anomaly model for acoustic signals from Wind turbines. This is a part of a larger PoC project that is in the initial phase of designing and developing an end-to-end IoT architecture including design of an appropriate sensor, IoT device and communication setup, and building a functional AI model for fault detection.

The specific objective of this internship is to build an anomaly detection model from real time sensor data to detect anomalous signals from IoT sensors (indicative of faults). The solution will be deployed in Azure cloud environment with end-user notification and dashboarding features, and integrated into existing Predictive Asset Management system. 

The intern may be tasked with activities within existing renewables projects as a part of overall learning. The intern will also have an excellent opportunity to participate in discussions involving end to end IoT sensor setup and solutioning.

Requirements

  • Python and SQL skills. 
  • Familiarity with Grafana preferred. 
  • Good understanding of Data science, Machine learning and deep learning techniques required. 
  • Some experience with Azure cloud preferred.
This position is already closed and no longer available.  You may like to view the other latest internships here.

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