KAUST is in the midst of recruiting outstanding, multinational faculty and staff to to help one of the world's finest teaching and research institutions fulfill its educational and research missions. To be competitive, we are hiring solely on the basis of merit, and will offer an attractive base pay augmented with benefits that compare favorably with the best global private and public institutions.
The science produced in the Physical Science and Engineering Division (PSE) is about understanding, modeling, and manipulating matter at all scales: nano, meso and macroscopic levels; in all forms: bulk, thin films, divided colloids, fluid flows, earth as system etc.; and in interaction with external stimuli: light, heat, fluids, etc; or stresses. The knowledge created serves to design and engineer materials, technologies, and systems that will address issues related to KAUST’s four thrusts: water, food, energy, and the environment. PSE operates five graduate programs corresponding to five core disciplines: Chemical and Biological Engineering, Chemical Science, Earth Science and Engineering, Material Science and Engineering, and Mechanical Engineering.
Faculty Openings by Program
The Physical Science & Engineering Division invites applications for a number of faculty positions at all ranks (Assistant, Associate, and Full Professors) beginning in the Fall of 2017. To apply, please click on the link associated with the relevant program.
Applications received by the closing date will receive full consideration and positions will remain open until filled.
to apply for Faculty positions in Material Science and Engineering
to apply for Faculty Positions in Mechanical Engineering
to apply for Faculty positions in Earth Science and Engineering
to apply for Faculty positions in Chemical and Biological Engineering
to apply for Faculty positions in Chemical Science
Postdoctoral and Research Scientist Openings
One Postdoc Position Open in Modeling Naturally Fractured Reservoirs using Finite-Element-based
Methods at KAUST:
Modeling naturally fractured reservoirs is re-gaining
interest in the Oil & Gas industry and
academia for application in carbonate fractured reservoirs and
unconventional reservoirs where natural fractures can play a key role on
production performance. One of the persisting challenges is to create complex
3D fracture networks and solve multiphase flow efficiently. None of the
existing tools can integrate complex flow on Discrete Fracture Networks (DFN).
The objective of this project is to develop a tool to generate DFN models
amenable for multiphase flow, and scale up the model to be usable with
conventional simulators. Finite element-based methods such as
Mixed-Finite-Element or Control-Volume methods are convenient thanks to their
suitability for complex unstructured grids.
Qualified applicants should possess a Ph.D. in Applied
Mathematics/Computational sciences, Reservoir Engineering, or a closely related
field. The candidate should be experienced with multiphase flow in porous media
using FE, FV or FD methods, and should be proficient with a scientific programming
language such as Fortran or C/C++. Familiarity with linear/nonlinear solvers, 2D/3D
unstructured gridding, and high performance computing is welcome. Candidates with good publishing
record will be given preference.
Applications are sought for a two-year postdoc
position. The position will include a competitive salary based on the
candidate’s qualifications; benefits include medical and dental insurance, free
furnished housing on the KAUST campus, annual travel allowance to visit home
country, annual paid vacation, and other generous benefits.
applicant will be part of the Advanced Reservoir Modeling and Simulation Lab (ARMS) affiliated to the Ali I. Al-Naimi Petroleum Engineering
Research Center (ANPERC) at KAUST.
To apply, please send a CV, a letter of interest, and name
and contact information of two references to Prof. Hussein Hoteit, Hussein.firstname.lastname@example.org
One Research Scientist and Three Postdoc Positions Open in Ocean Data Assimilation, Forecasting and Visualization at KAUST:
One research scientist and three postdoc positions are open at KAUST as part of a new joint initiative between KAUST, MIT, Scripps Institution of Oceanography, and Plymouth Marine Laboratory aiming at developing advanced stochastic/ensemble regional and coastal data assimilation, short and seasonal forecasting, transport, and visualization capabilities for the Red Sea. The successful candidates will join an already established multidisciplinary group at KAUST working on ocean and atmospheric modeling, data assimilation and uncertainty quantification led by Professors Ibrahim Hoteit and Omar Knio. Strong interpersonal qualitiesfrom the candidates will be appreciated as he/she will be working in a highly collaborative environment and will be expected to spend a part of their time at the collaborating institutions.
Qualified applicants should possess a Ph.D. in Oceanography, Meteorology, Applied Mathematics, Computer Science, or a related field. Background and expertise in one or more of these following areas will be considered when selecting the candidates: Ocean Modeling, Coastal Ocean, Data assimilation, Large-Scale Uncertainty quantification, Ocean Forecasting, Seasonal Forecasting, Transport Phenomena, Large-Scale Visualization, and High Performance Computing. Applicants should be able to work in a collaborative and multidisciplinary environment involving extensive codes developments and real data with a minimal amount of supervision. Experience in using supercomputers under Linux and parallel coding environments is a must. The successful candidates will closely work with the KAUST high performance computing and visualization core labs equipped with a Cray supercomputer (https://www.hpc.kaust.edu.sa) and sophisticated visualization facilities (https://kvl.kaust.edu.sa/Pages/Facilities.aspx).
The initial appointment period is for two years with a competitive salary based on the candidate’s qualifications (no income tax paid to the Kingdom of Saudi Arabia). Benefits include medical and dental insurances, moving expenses to KAUST, free furnished housing while at KAUST, free international schools, family annual travel allowance to visit home country and annual payed vacation. To apply, please send curriculum vitae and a letter of interest with the names and contact information of at least two references to email@example.com and firstname.lastname@example.org.
Open Postdoc Position in Ensemble History Matching at KAUST:
Applications are sought for a 2-year (renewable)
postdoctoral position in reservoir history matching at King Abdullah University of Science and
Technology (KAUST) as part of a new research project funded by ARAMCO. The project aims at
developing, implementing and validating an efficient ensemble framework for history
matching Electromagnetic (EM) data. The research will be pursued in close
collaboration with ARAMCO scientists and the Ali I. Al-Naimi Petroleum
Engineering Research Center (ANPERC). Tests with real EM data collected by ARAMCO will be
conducted. Qualified applicants should possess a Ph.D. in Applied Mathematics
and Computational sciences, Reservoir Engineering, or a closely related field. Background
and expertise in reservoir modeling, history matching and ensemble Kalman
filtering, and good programing skills are required.
Benefits include medical and dental insurances, moving
expenses to KAUST, free furnished housing while at KAUST, free international schools, family
annual travel allowance to visit home country and annual paid vacation.
of applications will begin as soon as possible and applications will be
accepted and reviewed until the position is filled. To apply, please send a CV and
a letter of interest with the names and contact information of at least two
references to Prof. Ibrahim Hoteit: email@example.com.