A Research Associate position is available in the Centre for Integrated Circuits and Systems (CICS), School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore. We are seeking a dynamic Research Associate with a background in electronics engineering to join our R&D team. This role will be integral in the design, development, and testing of electronic boards, PCBs, and microcontroller programming. The ideal candidate will bring a blend of practical engineering experience, innovation, and a proactive approach to problem-solving. Knowledge in machine learning is a distinct advantage.
Design and Development:
Lead the design and development of electronic boards tailored to project requirements
Develop schematics, layout PCBs, and produce prototype boards for testing
Write, test, and debug code for various microcontrollers, particularly STM32, Arduino, and similar platforms
Integrate software with hardware designs to create seamless electronic systems
Machine Learning (Desirable, Optional):
Apply machine learning techniques in embedded systems as required
Collaborate with data scientists and machine learning experts to optimize algorithms for integration into hardware platforms
Carry out functional testing on prototypes to ensure designs meet project requirements
Troubleshoot and resolve issues related to electronic circuits and microcontroller software
Collaborate with the R&D team in brainstorming, design discussions, and review meetings
Keep up-to-date with emerging technologies and techniques in electronics and software that can benefit the team's projects
Provide necessary documentation, including design notes, testing results, and user manuals
Master’s degree in Electronics Engineering or a related field
Proven experience in electronic board design and PCB layout
Familiarity with microcontroller platforms like STM32, Arduino, etc
Proficiency in relevant software tools for PCB design and microcontroller programming
Hands-on experience in prototype testing and troubleshooting
Knowledge in machine learning applied to embedded systems is a significant plus
Strong teamwork, communication, and organizational skills
Ability to work in a fast-paced, R&D environment and adapt to changing project requirements
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU
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