Computational Scientist
Posted 1 Jul 2026
Advertised as “ADIA Lab - Senior Computational Scientist - Trustworthy AI”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- People management
- Contract
- Full-time
No salary listed for this role.
CertificationsPhD
Field of studyArtificial Intelligence, Computational Science, Computer Science, Machine learning, Mathematics, Statistics (or related)
ADIA Lab, an independent research institution based in Abu Dhabi specializing in data science, artificial intelligence, and computational sciences, is seeking a Senior Computational Scientist with a focus on Trustworthy AI. This position plays a pivotal role in strengthening and expanding ADIA Lab’s Trustworthy AI research program, cultivating a globally recognized team of researchers, and leading strategic initiatives within ADIA Lab and the broader international AI research community. Our goal is to further develop the scientific foundations, methodologies, and tools required to ensure that AI systems are explainable, robust, transparent, auditable, safe, and reliable in real-world, high-stakes applications.
ADIA Lab is a global research center dedicated to advancing computational science, data science, and AI to address challenges in climate science, health sciences, the digital economy, and materials science. Located in Abu Dhabi, the Lab brings together leading researchers from around the world to build foundational knowledge, develop innovative computational methods, and enable breakthroughs that have global impact.
Requirements
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Expand and co-lead a world-class research program in Trustworthy AI within ADIA Lab, advancing the scientific foundations of reliable, transparent, and responsible AI systems.
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Drive cross-disciplinary research combining machine learning, statistics, causal inference, optimization, computational science, and domain expertise to address challenges in explainability, robustness, fairness, safety, governance, and accountability.
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Develop novel methodologies for understanding, auditing, evaluating, and validating AI systems, including large language models, foundation models, and emerging AI architectures.
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Conduct fundamental and applied research on AI interpretability, robustness to distribution shifts and adversarial attacks, uncertainty quantification, model monitoring, and trustworthy deployment in high-stakes environments.
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Build and coordinate a strong, collaborative research team and network, with an emphasis on scientific leadership, mentoring, and strategic partnership development.
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Collaborate with national and international research institutions, advocating a community science approach that contributes to advancements in Trustworthy AI.
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Build partnerships with universities, laboratories, industry, and government organizations to initiate joint programs, funding proposals, and collaborative platforms focused on AI safety, governance, and responsible innovation.
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Publish research results in leading scientific journals and conferences, contribute to white papers and policy-oriented reports, and represent ADIA Lab at major international scientific and industry events.