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King Abdullah University of Science and Technology
Applied Mathematics and Computational Science
AMCS
Applied Mathematics and Computational Science
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Innovating Through Research and Education

The Applied Mathematics and Computational Science (AMCS) Program provides students with conceptual and practical knowledge for dealing with challenges of modern science. The Program is a passport for interdisciplinary research, living at the crossroads of a wide range of scientific disciplines and offering tools to understand phenomena that are either too complex, expensive, unethical or difficult to investigate with practical experiments.

Watch KAUST AMCS welcome video by Professor Diogo Gomes on YouTube.

Faculty and Groups

Browse our faculty profiles and research groups to explore their expertise, research interests and impactful contributions that drive innovation and discovery at KAUST.

KAUST DD28

Faculty Profiles

Research Groups

Research Areas

The AMCS Program at KAUST combines mathematics, modeling, and computational science to solve real-world problems. AMCS researchers innovate across various fields, with key research areas including:

Applied Probability and Uncertainty Quantification
Mathematical Modeling 
Mathematics of Data Science, Machine Learning and Optimization
KAUST-CEMSE-ECRC-Compress to impress with AI hardware
Numerical Analysis and High-Performance Computing
Partial Differential Equations and Applied Analysis 

The Visiting Student Research Program (VSRP)

The KAUST VSRP is an exciting three-to-six-month research internship opportunity that provides research experience for highly qualified and motivated STEM students to work alongside leading faculty and researchers on impactful projects.

Find a research project that aligns with your study area and apply.

Learn more about VSRP

News

KAUST professor Peter Richtárik receives Charles Broyden Prize for second consecutive year

2 min read · Wed, Jan 21 2026

Awards News

optimization machine learning communication efficiency artificial intelligence big data algorithm

KAUST researchers define the emerging field of high-performance statistical computing (HPSC)

4 min read · Sun, Dec 14 2025

News

exascale GPU HPC mixed-precision computing Statistical computing

KAUST named No. 1 in the Times Higher Education Arab University Rankings for third consecutive year

1 min read · Thu, Nov 27 2025

News Clip News Press Releases

more

Upcoming Events

KAUST CEMSE AMCS STAT Graduate Seminar Georgios Grekas On the Modeling and Approximation of Phase Transitions in Elasticity

On the Modeling and Approximation of Phase Transitions in Elasticity

Georgios Grekas, Postdoctoral Research Fellow, Applied Mathematics and Computational Science
Feb 5, 12:00 - 13:00

B9 L2 R2325

Phase transitions elasticity mathematical modelling

KAUST CEMSE AMCS Mathematics and Applications Colloquium Jongho Park Mathematical Design and Analysis of Iterative Methods for Linear and Nonlinear Problems

Mathematical Design and Analysis of Iterative Methods for Linear and Nonlinear Problems

Jongho Park, Research Scientist, Applied Mathematics and Computational Science
Feb 10, 14:30 - 15:30

B1 L3 R3119

nonlinear models algorithms iterative methods

KAUST CEMSE AMCS STAT Graduate Seminar Fouzi Harrou Data-driven Anomaly Detection in Industrial Processes

Data-driven Anomaly Detection in Industrial Processes

Fouzi Harrou, Senior Research Scientist, Statistics
Feb 12, 12:00 - 13:00

B9 L2 R2325

anomaly detection multivariate statistics artificial intelligence AI

more

Join KAUST

Join world-class research on the shores of the Red Sea.

KAUST Students

Study at KAUST

Faculty Positions

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Researcher Positions

Partnership Opportunities

Applied Mathematics and Computational Science (AMCS)

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