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The AUMOVIO-NTU Corporate Lab is a strategic research collaboration between Nanyang Technological University (NTU) and AUMOVIO, supported under the Industry Alignment Fund-Industry Collaboration Project (IAF-ICP). The lab focuses on advanced technologies for future urban mobility, including artificial intelligence, communications, and cybersecurity, delivering industry-relevant and deployable research outcomes.
We are looking for a Research Associate to support the development of optical systems, with specific emphasis on metasurface-based technologies for various automotive applications, including Head up Display, Near-Eye Display, Virtual Reality and Augmented Reality etc.
Key Responsibilities:
Design, develop, and test optical systems for metasurface-based HUDs, Near-Eye Displays, VR, and AR applications
Conduct research and development to advance the state-of-the-art in optical projection systems, including:
Investigating novel optical materials and technologies
Developing and optimizing optical system designs using simulation tools
Characterizing and testing optical system performance
Collaborate with cross-functional teams to integrate optical systems with other technologies, including electronics, software, and mechanical systems
Develop and maintain technical documentation, including design reports, test plans, and technical papers
Participate in project meetings and present research findings to stakeholders
Stay up-to-date with industry trends and emerging technologies in optical projection systems
Prepare high-quality research publications and contribute to report and technological disclosures writing.
Requirements:
Master degree in the areas of Optical Engineering and/or Photonics devices and System.
Knowledge and/or experience in using optical simulation tools such as Zemax, CodeV etc.
Good interpersonal skills with the ability to work independently and also in a team environment.
Excellent problem-solving and analytical skills.
Entry level applicants with relevant backgrounds are also welcomed.
We regret to inform that only shortlisted candidates will be notified.
Job ID: 143358403