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Emelia Akashah P.Akhir

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PhD Candidate in Trustworthy and Safety-Constrained AI for Geological Carbon Storage Universiti Teknologi PETRONAS in Malaysia

Degree Level

PhD

Field of study

Computer Science

Funding

This is a 3-year Graduate Research Assistant (GRA) position with a stipend of up to RM3,000 per month.

Country flag

Country

Malaysia

University

Universiti Teknologi PETRONAS (UTP)

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Keywords

Computer Science
Geology
Environmental Science
Carbon Capture And Storage
Artificial Intelligence
Uncertainty Analysis
Carbon Storage
Reinforcement Learning
Environmental Sustainability

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About this position

Universiti Teknologi PETRONAS is seeking a motivated PhD candidate to join a research team working on Trustworthy and Safety-Constrained AI for Geological Carbon Storage.

The project brings together artificial intelligence, reinforcement learning, uncertainty, and sustainability to address research challenges in geological carbon storage and carbon capture, utilization and storage (CCUS). The candidate will contribute to developing AI approaches that are trustworthy, safety-aware, and suitable for environmentally important subsurface applications.

The research team is led by Emelia Akashah P.Akhir, Senior Lecturer and Programme Leader for the Master in Data Science at Universiti Teknologi PETRONAS. The opportunity offers a research environment at the intersection of computer science, AI, uncertainty-aware decision-making, and geological carbon storage.

Funding details

This is a 3-year Graduate Research Assistant (GRA) position with a stipend of up to RM3,000 per month.

How to apply

Interested candidates should contact Emelia Akashah P.Akhir to express their interest and discuss the PhD opportunity. The post does not provide an application portal or contact email.

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Professors

Senior Lecturer

University Name
Country flag

Malaysia

Research Interests

Environmental Sustainability

Artificial Intelligence

Uncertainty Analysis

Reinforcement Learning

Environmental Science