Assistant/Associate Professor (Tenure-Track)

NTU (Nanyang Technology University- Main Office-HR); Singapore; On-site; USD 80,000 - 150,000; Full time

Job summary

Join a prestigious institution at the forefront of AI and Data Science as a tenure-track Associate Professor. This role offers the opportunity to lead innovative research, teach the next generation of leaders, and contribute to impactful projects in a dynamic environment. Engage with a vibrant community of scholars and students, and shape the future of computing in a rapidly evolving field. Your expertise in data mining, machine learning, and effective communication will be vital in this exciting position. If you are passionate about education and research, this is your chance to make a significant impact.

Qualifications

• PhD from a well-recognized university.
• Strong record of research and teaching abilities.

Responsibilities

• Conduct high-quality innovative research and publish top-tier papers.
• Teach undergraduate and graduate courses, develop materials, and supervise projects.
• Undertake administrative services and mentoring responsibilities.

Skills

Research Achievements

Teaching Skills

Data Mining

Graph Neural Networks

Machine Learning

Effective Communication

Team Leadership

Presentation Skills

Education

PhD in related disciplines

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 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.

We invite qualified and passionate academics to apply for a tenure-track Associate Professor position in Artificial Intelligence. 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.

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

• Data mining, network analysis, graph neural networks, graph mining, machine responsible AI, data science for social good

Responsibilities:

• Research: The appointee is responsible for conducting high-quality innovative research, publishing top-tier papers, securing competitive research grants, and supervising research personnel.
• Teaching: The appointee is expected to conduct competent undergraduate and graduate level teaching, including development of course materials, delivery of lectures and tutorials, grading assignments and exam papers, providing feedback to students, and academic supervision of undergraduate and graduate student projects.
• Service: The appointee is expected to undertake responsibly assigned administrative services in the school and university, such as servicing on committees and mentoring students.

Requirements:

• You should possess a PhD in related disciplines from a well-recognized university.
• You have demonstrated exceptional promise for or a proven record of research achievements within the chosen field of research and strong ability for effective undergraduate and graduate level teaching
• You are able to lead and work as part of a multidisciplinary team

• You are able to supervise research staff and students through effective communication
• You should ideally possess strong presentation skills

Review of applications and shortlisting decision will be on an on-going basis until the positions are filled. Interested applicants are invited to submit their applications through the NTU career portal by clicking the "Apply" button. To facilitate the process, please submit the following documents if applicable.

• Full Curriculum Vitae
• Statement of Teaching and Research
• Research sample(s)
• Letters of Recommendation(s)

Hiring Institution: NTU