Research Engineer (Machine Learning)

Job Description

The research project involves the development of digital twins for emergency medical ventilators. The research engineer is expected to contribute in the following aspects:
a)    Develop digital twin models for ventilators using machine learning and AI modelling techniques,
b)    Run simulations to obtain ventilator’s performance in varying conditions,
c)    Draw insights through data modelling & analysis to improve ventilator’s performance (e.g. safety, reliability),

Apply machine learning and optimization techniques on real-time usage and performance data to optimize ventilator’s performance.

Qualifications

•    Degree, or Master’s degree in a relevant discipline, e.g. electrical / electronic engineering, computer engineering, computer science, etc.
•    Knowledge in machine learning, deep learning, optimization, control systems, IoT/sensor systems, data analytics or closely related field
•    Familiar with deep learning libraries (Keras, Tensorflow, PyTorch)
•    Excellent analytical and computational skills 
•    Software programming in Python, C++ and knowledge of Cloud Computing
•    Understanding of software engineering principles
•    The candidate must have the ability to work independently as well as part of a team with strong initiatives and have the curiosity to explore the unknown.
•    Open to Fixed Term Contract
 

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Electrical and Computer Engineering

Employee Referral Eligible: No

Job requisition ID : 24621