Climate AI Postdoc: Foundation Models & Autonomous Pipelines

Mohamed Bin Zayed University Of Artificial Intelligence

Abu Dhabi

On-site

AED 441,000 - 624,000

Full time

4 days ago
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Benefits offered by this job

Competitive compensation
Travel to major conferences
Possible contract extension up to 3 yr

Job summary

MBZUAI invites applications for a Research Scientist / Postdoctoral Fellow to develop foundation models for climate and Earth observation data, integrated with agentic pipelines for autonomous analysis and prediction of environmental dynamics.

The role focuses on bridging frontier AI with real-world sustainability impact, collaborating with climate scientists and engineers, and contributing to open-source climate AI initiatives. A one-year appointment with extension possible based on performance.

Qualifications

  • Expertise in foundation model architectures (LLMs, diffusion models, multimodal transformers).
  • Experience handling large-scale Earth observation or climate datasets.
  • Strong programming skills and familiarity with distributed training environments.

Responsibilities

  • Develop large-scale multimodal foundation models for climate and EO data.
  • Design agentic pipelines aligning model predictions with automated climate actions.
  • Collaborate with climate scientists and engineers; publish findings and contribute to open-source initatives.

Skills

Foundation models architectures
Earth observation data handling
Programming & distributed training
Geospatial AI toolkits

Education

PhD in ML/Computer Vision/Climate Science/EO Systems

Job description

MBZUAI invites applications for a Research Scientist / Postdoctoral Fellow to develop foundation models for climate and Earth observation data, integrated with agentic pipelines for autonomous analysis and prediction of environmental dynamics.

The role focuses on bridging frontier AI with real-world sustainability impact, collaborating with climate scientists and engineers, and contributing to open-source climate AI initiatives. A one-year appointment with extension possible based on performance.

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