We seek a candidate in the area of applying data science and applied mathematics towards designing advanced thermal energy systems and industrial processes. The candidate should have demonstrated expertise in one or more of the following areas: developing numerical methods for high-performance scientific computing, numerical linear algebra, fast algorithms, parallel computing, and machine learning with applications in complex non-linear dynamical engineering systems. Candidates with proven scholarship at the intersection of physical modeling with statistical inference will be given preference, including computation methodologies for uncertainty quantification, inverse problems, large-scale Bayesian computation, and optimal experimental design in complex physical systems.
The candidate could contribute to multiple programs and engineering disciplines. The core focus is on application of data science and applied math in dynamical systems such as thermal power and industrial processes. Candidate could contribute to advancing numerical methods used in combustion.
About the PSE Division and KAUST
The Physical Science and Engineering Division comprises seven Degree Programs: Material Science and Engineering, Applied Physics, Earth Science and Engineering, Energy Resources and Petroleum Engineering, Chemical Science, Chemical Engineering, and Mechanical Engineering. These disciplines provide the foundation for our Division's quest to address some of the major challenges that we face in the world today, including those related to energy and the environment. Specifically, our faculty members and their research teams work on topics as diverse as: photovoltaics, super capacitors, porous materials for carbon capture and membranes, clean combustion, atmospheric modeling, new polymers and composite for smart materials and structures.
KAUST is an international graduate research university dedicated to advancing science and technology through interdisciplinary research, education, and innovation. Located in Saudi Arabia, on the western shores of the Red Sea, KAUST offers superb research facilities, generous baseline research funding, and internationally competitive salaries, together with unmatched living conditions for individuals and families. More information about KAUST academic programs and research activities are available at:
A relevant Ph.D. degree. Proven track record in managing a research group as well as publishing high-impact papers.
Teaching and service responsibilities
Commitment to high-quality teaching at the graduate level, including two courses per academic year. Active service to KAUST on all aspects of academic life.
Research Responsibilities
The University offers access to multiple sources of research funding to its Principal Investigators. The successful applicant should have an established record of publishing high-impact papers, and is expected to create a thriving research program including engaging in national and international scientific collaborations.
Applicants are required to complete an online application form using the Interfolio online application system (https://www.kaust.edu.sa/en/about/faculty-positions). To prevent any delays in reviewing your application, you will need to upload the following materials:
PLEASE NOTE: Only complete applications submitted through the online application system will be considered. Applications will be evaluated as soon as they are received, and will receive full consideration until the positions are filled.
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