Opening for Ph.D. Student Position in the Field of Computational Solid Mechanics at KAUST.
Description
A Ph.D. student position is available in the Computational Solid Mechanics Laboratory (CSML) in the Division of Physical Sciences and Engineering at King Abdullah University of Science and Technology (KAUST). Candidates must hold a Master's degree in a related area and should have experience in the following:
(1) Finite element analysis, continuum and solid mechanics
(2) Programming experience in C++, C, Python and Fortran
(3) Ability to work on Unix/Linux platform
(4) Technical writing skills
Qualifications
A successful candidate must have a B.S. degree in a related field. Fluency in English is a must. Must be willing to support CSML’s overall mission of carrying out world-class research.
Appointment, salary and benefits
Appointment period: Full time for the duration of graduate studies contingent upon the student fulfilling all the requirements for PhD candidacy in mechanical engineering at KAUST.
Salary and benefits: Competitive annual stipend. Free housing, medical,dental and life insurance, air transportation to KAUST, one round-trip airline ticket per year to visit home country for graduate student and his/her spouse and children. No tax paid to the Kingdom of Saudi Arabia.
Contacts, application material and deadlines
Interested applicants should send a detailed C.V. with professional references to Professor Tamer El-Sayed at tamer.elsayed@kaust.edu.sa
The position will remain open until filled.
About CSML (http://faculty.kaust.edu.sa/sites/tamerelsayed/Pages/Research.aspx)
The focus of the Computational Solid Mechanics Laboratory (CSML) at KAUST is to develop multi-scale constitutive models for metals and soft materials. The following summarizes current research activities:
• Development of multi-scale constitutive models for nanocrystalline metals. The developed models are capable of capturing distinctive features of nanocrystalline materials, such as the grain size dependence both in classical Hall-Petch form for greater grain sizes (>10-25nm) and inverse Hall-Petch for finer grain sizes (< 10-25 nm).
• Development of constitutive models intended to reproduce damage in polymers caused by high strain rate loading. Applications include the design of high-strength composites for impact mitigation.
• Development of constitutive models for soils and rocks taking into account multiphase and mixedphase flow, grain-grain and grain-liquid interaction under high-pressure, high-temperature conditions. Applications include Enhanced Oil Recovery (EOR).
• Development of constitutive models intended to reproduce the damage of biological soft tissues induced by bubble cavitation, growth, and coalescence. Potential benefits to industry, the medical and defense communities include: the ability to derive a sound mechanistic and quantitative understanding of traumatic head injury leading to improvements in operative management and post-traumatic care; and the ability to predict the lethality of traumatic injury to the head leading to improvements in helmet and other protective head-gear design and increased survivability during accidents.
The developed constitutive models are invaluable parts of predictive simulation methods, which can be used in designing tailor-made materials with superior properties. The long-term goal is to reduce the amount of experimental efforts, which are expensive and time consuming with the developed simulation tools.
