Research Associate (AI for Nature Based Climate Solutions)

About the role

The Yanyan Cheng research group at the Asian School of Environment (ASE), NTU, is seeking a Research Associate for a Singapore MOE-funded project. The post helps advance research in integrated assessment modelling and the interactions among land, water, carbon, energy, climate, ecosystems and human systems. It is a one-year appointment, potentially renewable depending on performance and funding availability.

Key responsibilities

• Collect, curate, validate and document large-scale multimodal ecohydrological remote sensing datasets.
• Train and evaluate models on large datasets and high-performance computing systems, establishing reproducible baselines, ablation studies and evaluation suites.
• Apply the developed datasets and models to monitor and analyse tropical ecohydrological processes.

Required profile

• Masters degree in information and communication engineering; research experience in 3D point-cloud or point-cloud sequence processing is highly desirable.
• Extensive experience in model design and development, programming implementation, experimental design and evaluation, and peer-reviewed scientific writing.
• Demonstrated research expertise in remote sensing and computer vision, with a strong publication record.
• Fluent communication and strong academic writing skills for papers, reports and presentations.
• Able to work independently and collaboratively, manage large datasets and codebases, meet deadlines and deliver reproducible research.

Required skills

• Strong programming in Python and MATLAB.
• Practical experience with deep-learning frameworks such as PyTorch, remote sensing data processing, Linux and high-performance computing.
• First- or co-first-author papers in CCF Rank A venues (e.g. CVPR) and leading remote sensing journals (e.g. IEEE TGRS) preferred.