Research Fellow (Computer Science/Statistics/Meterology/Atmospheric Sciences)

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Nanyang Technological University (NTU Singapore) is seeking a research fellow to support diffusion generative models and Monte Carlo methods for meteorology data assimilation. You will read literature, devise methods, and publish results in international journals and conferences.

You will mentor graduate students, present at conferences, and contribute to teaching and internal seminars while collaborating across a multidisciplinary team.

Qualifications

• PhD in Computer Science, Statistics, Meteorology, Atmospheric Sciences, or equivalent.
• In-depth knowledge in data assimilation and Kalman filters.
• Working experience with atmospheric or climate data.
• Independent, highly analytical, proactive and a team player.
• Excellent teamwork and verbal, written communication skills.
• Demonstrated capability to conduct innovative research.
• Ability 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.
• High-level expertise in the required experiment or modelling methods.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.

Responsibilities

• Read, understand, and summarize the latest literature on generative modelling techniques in data assimilation.
• Read, understand, and summarize inference in state-space models with particle filters.
• Devise, implement, and inspect new methods for meteorological inference with generative modelling.
• Publish results in reputable international journals and conferences.
• Present results and establish new research networks at reputable international conferences.
• Mentor graduate students and report to PI as required.
• Organize internal events (reading groups, seminars) as required.
• Perform teaching and invigilations duties as per the College and research objectives.

Skills

Independent

Analytical

Team player

Communication skills

Research skills

Hypothesis testing

Experimental design

Collaborative research

Project reporting

Flexibility

Education

PhD in Computer Science, Statistics, Meteorology, Atmospheric Sciences, or equivalent

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.

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 College of Computing and Data Science is seeking to hire a research fellow to support ongoing research projects in diffusion generative models and Monte Carlo stochastic simulation methods. This position holder will apply these techniques and other advanced AI methods in meteorology (atmospheric data assimilation). This contributes to the cutting-edge research expertise of the College and the University in the strategic areas of Machine Learning, Statistical Data Science, and Artificial Intelligence.

Job Responsibilities:

• Read, understand, and summarize the latest literature on the use of generative modelling techniques (such as diffusion models and flows) in data assimilation, both in the context of meterology and elsewhere

• Read, understand, and summarize the latest literature on inference in state-space models with particle filters

• Devise, implement, and inspect theoretical properties of new methods for meteorological inference with generative modelling

• Publish results in reputable international journals and conferences

• Present results and establish new research networks at reputable international conferences

• Mentor graduate students and report to PI as required

• Organize internal events (reading groups, seminars, etc.) as required

• Perform teaching and invigilation duties as per the need of the College and in adequation with research objectives

Job Requirements:

• PhD degree in Computer Science, Statistics, Meterology, Atmospheric Sciences, or equivalent

• In-depth knowledge in data assimilation and Kalman filters

• Working experience with atmospheric or climate data

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• 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.

• High-level expertise in the required experiment or modelling 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.