Assistant Professor (Computer Science)

Roles & Responsibilities

Roles & Responsibilities

The Department of Computer Science at the National University of Singapore (NUS) invites applications for tenure-track positions. We welcome outstanding applications in all areas of computer science, with a particular focus on AI (including foundational methods in AI, embodied AI / robotics, and AI for science), security (including secure and trustworthy AI) systems (including ML systems), and quantum computing.

Candidates for Assistant Professor positions on the tenure track should demonstrate outstanding research potential, combined with a strong commitment to education. Candidates for senior positions should have an established record of outstanding, recognized research achievements and thought leadership in his / her chosen area of computer science.

The Department enjoys ample research funding, moderate teaching loads, excellent facilities, and extensive international collaborations. We have a full range of faculty covering all major research areas in computer science and boast a thriving PhD program that attracts the brightest students from the region and beyond. More information is available at

www.comp.nus.edu.sg / careers .

NUS is situated in Singapore, an English-speaking cosmopolitan city that is a melting pot of many cultures, both the east and the west. Singapore offers high-quality education and healthcare at all levels, as well as very low tax rates.

Application Details :

Submit the following documents (in a single PDF) online via :

https : / / faces.comp.nus.edu.sg

• A cover letter that indicates the position applied for and the main research interests
• Curriculum Vitae
• A teaching statement
• A research statement
• A diversity statement (optional)
• Contact information of 3 referees

Job requirement :

A PhD degree in Computer Science or related areas

Tell employers what skills you have

Security

Science

Teaching

Artificial Intelligence

Quantum Computing

Computer Science

Thought Leadership

Robotics

Education

Research