Sort by
Refine Your Search
-
Listed
-
Field
-
at the intersection of numerical linear algebra and advanced HPC. The candidate will join an international environment, with opportunities to collaborate with experts from the USA, and KAUST and publish in top-tier
-
an appropriate autogenous mill for pilot testing. Lead the design and execution of lab-scale autogenous grinding trials based on experimental design. Contribute to the numerical modeling of beneficiation circuits
-
the different facets of hydrocarbon reservoir systems, interpreting seismic data, and applying structural geology and geomechanics principles. An experience in numerical modelling and/or petrophysics would be
-
to improve reactor design and synthesis performance. Key Responsibilities: Develop comprehensive computational models for fluid dynamics, mixing, and reaction kinetics in the CSTR. Implement advanced numerical
-
for fluid dynamics, mixing, and reaction kinetics in the CSTR. Implement advanced numerical schemes and perform high-resolution CFD simulations of two-phase flow. Optimize impeller geometry and reactor design
-
development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra, or equivalent. Prior experience on the subject is highly desired. Where
-
computing (HPC). This position offers an exciting opportunity to work on cutting-edge research projects at the intersection of numerical linear algebra and advanced HPC. The candidate will join an
-
trials based on experimental design. Contribute to the numerical modeling of beneficiation circuits (e.g., using USIMPAC or similar software). Analyze, interpret, and report the outcomes of simulations and
-
, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra