Research‑Intensive Professor in AI, Data Science & Quantum

Nanyang Technological University Singapore; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

Nanyang Technological University Singapore (NTU) seeks qualified academics for faculty positions in Computing and Data Science. Candidates should possess a PhD and demonstrate a strong research record, alongside effective teaching abilities.

The role involves conducting innovative research, teaching responsibilities, and contributing to administrative services. NTU values equality and diversity in building an inclusive community for all faculty and students.

Qualifications

• PhD in related disciplines is required.
• Proven record of research achievements within chosen field.
• Strong ability for effective undergraduate and graduate teaching.

Responsibilities

• Conduct high-quality innovative research and publish top-tier papers.
• Teach undergraduate and graduate courses including course material development.
• Perform assigned administrative services and mentor students.

Skills

Research achievements

Effective teaching

Ability to lead multidisciplinary teams

Education

PhD in Computing or Data Science

Job description

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and #6 for Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the college aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

The position is open for candidates working in all areas of computing and data science. However, we are particularly interested in candidates working at the frontiers of the following high priority areas:

• Data Science: Statistics
• Databases
• Visualization
• Quantum Computing
  
  

Responsibilities

• Conduct high-quality innovative research in terms of publishing top-tier papers, securing competitive research grants, supervising research personnel.
• Conduct competent undergraduate and graduate level teaching, including development of course materials, delivery of lectures and tutorials, assessment of student performance and providing feedbacks, and academic supervision of undergraduate and graduate student projects.
• Undertake responsibly assigned administrative services in the school and university, such as servicing on committees and mentoring students
  
  

CCDS invites qualified academics who possess a PhD in related disciplines to apply for a number of faculty positions in Computing and Data Science. We seek individuals with exceptional promise for or a proven record of research achievements within their chosen field of research. They should also demonstrate strong ability for effective undergraduate and graduate level teaching. Candidates must have vision and an interest in defining the research frontier as well as educating our next generation of young leaders in this rapidly evolving field. Candidates should also demonstrate the ability to combine theoretical knowledge with practical development of computational solutions and systems and are able to lead or work as part of a multidisciplinary team.

Equal Employment Opportunity Statement

Equality, Diversity and Inclusion at NTU

NTU believes in building an inclusive campus for its students, staff and faculty where diversity is respected. We strive to create diverse and inclusive environments to achieve a vibrant campus for education and a welcoming workplace for people from all backgrounds.