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.

Job Description:

• 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
• Microcontroller Programming:
  
  • 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
• Testing:
  
  • Carry out functional testing on prototypes to ensure designs meet project requirements
  • Troubleshoot and resolve issues related to electronic circuits and microcontroller software
• R&D Support:
  
  • 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

Job Requirements:

• 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