Research Fellow (Computer Science)

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.

Key Responsibilities:

• The candidate will work for the project to conduct the research on data argumentation and management. The most important factor for a learning based method to find optimal solution is to have sufficient data. However, publicly available data is often not sufficient. Data argumentation techniques could help in this case. Also, data management is important to improve the efficiency of solutions.

Job Requirements:

• Preferably PhD in Computer Science or related field.

• Expertise in computer programming

• Knowledge in data argumentation and management

• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.

• Excellent teamwork and verbal, written communication skills

• Independent, highly analytical, proactive and a team player

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.