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Research Engineer

8 months ago

Singapur, Singapore A*STAR Full time

The A*STAR?s National Metrology Centre (NMC) is the national measurement institute of Singapore, dedicated to advancing measurement science for an innovative and competitive economy. NMC is looking for an enthusiastic, self-motivated, and innovative research engineer with excellent interpersonal skills to join our multi-disciplinary team. Successful candidate will be supporting measurement science R&D, including signal processing and characterisation of material performance for low carbon applications.

He/she will be also working with a team of metrologists and scientists to support a competent and internationally recognized Singapore national measurement infrastructure.

Responsibilities:

?Conduct laboratory experiments to collect comprehensive data & data analysis under the guidance of scientists

?Apply and create various signal processing techniques for sensor data optimisation

?Perform and develop various analytical techniques and methods for characterisation of material performance and flow measurements for low carbon applications

?Design of experimental process for flow and mechanical measurements

?Test and evaluate material and metering system performance

?Support in the preparation of reports and presentations

?Troubleshoot experimental issues and propose innovative solutions

?Assist in literature reviews relevant to ongoing projects

?Participate in team meetings and contribute ideas and suggestions to improve measurement methodologies and processes

? Involve in measurement knowledge transfer program such as training and consulting services to develop measurement competency and provide measurement solution to the industry

Job Requirement:

?At least a bachelor?s degree in physical science or engineering or relevant background; Postgraduate degree would be an advantage

?Familiar with instrumentation and digital systems used for measurement and testing

?Proficient in programming languages such as Matlab and Python

?Experience with data analytics and modelling

?Experience with software and hardware integration would be advantageous

?Prior experience with gas/liquid flow testing and signal processing would be advantageous

?Capability to work autonomously yet collaboratively within a team

?A proactive team contributor who is self-driven, eager to learn, and adopts a positive approach to challenges.

Strong interpersonal, communication, and presentation abilities