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 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 photovoltaics, super capacitors, porous materials, clean combustion, atmospheric modeling and other topics.
PSE division invites applications for faculty position at Assistant and Associate Professor ranks. Female candidates will be strongly encouraged to apply.
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 generally two courses per academic year. Active service to KAUST on all aspects of academic life.
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 received by the advertised deadline will receive full consideration. However, positions will remain open until filled.Meer informatie
|Titel||Professor of “Data Science for Energy Engineering”|
|Employer||King Abdullah University of Science and Technology (KAUST)|
|Job location||King Abdullah University of Science and Technology, Thuwal|
|Gepubliceerd||oktober 28, 2020|
|Functietypes||Hoogleraar,   Universitair (hoofd)docent,   Tenure Track  |
|Vakgebieden||Algebra,   Algoritmen,   Statistiek,   Energietechnologie,   Toegepaste wiskunde,   Kansrekening,   Computationele wiskunde,   Machinaal Leren  |