The University of Hong KongHong Kong, Hong Kong
Post-doctoral Fellow/ Senior Research Assistant or Research Assistant
From the ad
Post-doctoral Fellow in the HKU Institute for Climate and Carbon Neutrality (Ref.: 537278)
We now invite applications for the captioned post.
Duties and Responsibilities
The appointee will collaborate closely with the supervisor and core research team to advance AI-enabled Earth observation initiatives. A primary focus will be driving the research and technical development of iEarth, an HKU-incubated Earth intelligence platform.
Core responsibilities include:
Candidates must possess a degree in Remote Sensing, Geographic Information Science (GIS), Computer Science, Artificial Intelligence, Earth System Science, or a closely related discipline.
Appointment levels will be determined by the following qualifications:
Core responsibilities include:
- Conducting innovative research in remote sensing, geospatial AI, spatiotemporal data analytics, and related applications in climate and sustainability.
- Designing and evaluating research methodologies, AI/ML models, robust data workflows, and functional prototypes.
- Bridging research and application by working alongside technical teams to translate academic outputs into integrated platform features and practical demonstrations.
- Authoring and preparing high-impact academic papers, grant proposals, comprehensive project reports, and technical documentation.
- Supporting the laboratory by performing other related research duties as assigned.
Candidates must possess a degree in Remote Sensing, Geographic Information Science (GIS), Computer Science, Artificial Intelligence, Earth System Science, or a closely related discipline.
Appointment levels will be determined by the following qualifications:
- Post-doctoral Fellow: Requires a Ph.D. along with a proven ability to conduct independent research and generate high-quality academic outputs.
- Senior Research Assistant: Requires a relevant Master's degree, postgraduate qualifications, or substantial equivalent research experience.
- Research Assistant: Requires a relevant Bachelor’s degree.
- Technical Proficiency: Strong programming skills with advanced proficiency in Python.
- Domain Expertise: Hands-on experience in remote sensing, geospatial data analysis, machine learning, or adjacent fields.
- Communication: Excellent written and spoken English, paired with strong interpersonal skills.
- Teamwork: Proven ability to collaborate effectively within a dynamic, interdisciplinary research environment.
- Experience in large-scale geospatial data processing, AI model deployment, or the development of research software and scalable platforms will be considered a strong advantage.
The University is an equal opportunities employer and
is committed to equality, ethics, inclusivity, diversity and transparency
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