Job Description

We are looking for highly talented and motivated candidates to work on developing new sensing materials and devices. Together with a multi-disciplinary team of electronics/electrical engineers, you will be part of an exciting research program to develop next-generation sensor devices and systems for human-machine interactions.

Key Responsibilities

The candidate will design and implement new 3D printing strategies for making devices and circuits.

Requirements

• PhD in Physics, Mechanics, Mechanical Engineering, Material Science or related disciplines
• Expertise in finite-element modelling of elastic/visco-elastic materials required
• Expertise in mechanical simulation tools using ABAQUS, ANSYS, COMSOL Multiphysics, etc. required
• Expertise with 3D modeling tools such as Solidworks/autocad inventor/blend software required
• Experience in atomic layer deposition (ALD) highly desirable
• Excellent working knowledge with nano/micro imaging tools such as SEM
• Working knowledge of 3D printing processes
• Familiarity with material mechanical property characterization tools
• Excellent writing and presentation skills
• Ability to work independently and in cross-disciplinary team projects

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.

More Information

Interested candidate, please send your cover letter, CV and names of 3 references (name, institution, email) to Assoc Prof. Benjamin TEE Chee Keong (benjamin.tee@nus.edu.sg).

Only shortlisted candidates will be contacted.