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:

1. Develop digital twin models for ventilators using machine learning and AI modelling techniques,
2. Run simulations to obtain ventilator’s performance in varying conditions,
3. Draw insights through data modelling & analysis to improve ventilator’s performance (e.g. safety, reliability),
4. Apply machine learning and optimization techniques on real-time usage and performance data to optimize ventilator’s performance. 

Qualifications

• Possess a Bachelor / Masters degree in a relevant discipline, e.g. electrical / electronic engineering, computer engineering, computer science, mechanical engineering 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
• Preferably someone who can commence work asap. 
• Ability to work independently as well as part of a team with strong initiatives and have the curiosity to explore the unknown.
• Salary will be commensurate with qualifications and experience.
• Open to fixed term contract

More Information

Location: Kent Ridge Campus
Organization: Engineering
Department: Electrical And Computer Engineering
Employee Referral Eligible: No