job

INRIA (the French national institute for research in computer science and control) has currently eight centres, and the Opale Project-Team is primarily located in the Sophia Antipolis Centre, near the city of Antibes. Our research focuses on functional and numerical analysis, and numerical simulation, with a special emphasis on optimization in science and engineering (compressible aerodynamics, electromagnetics, structural design, etc) with strong links with industry.

The Institute of High Performance Computing (IHPC), a member of the Agency for Science, Technology and Research (A*STAR) in Singapore, invites applications for available position for Research Engineer / Research Officer in the field of Fluid Structure Interaction (FSI).

Post-Doctoral Fellowship: Looking for energetic researchers with strong background in constitutive modeling or multiscale material simulations. Specialty on fatigue and fracture of metals, polymer or short fiber composites is a plus.  The primary research will be focused on physics-based damage, fracture, and fatigue modeling and simulations at various scales.  If interested, please contact Dr. Yibin Xue via email or visit her website.

Highly motivated PhD or MS/PhD candidates are sought for
research in computational mechanics and inverse problems in the Department of
Civil and Environmental Engineering at the University of Pittsburgh.

A postdoctoral position at Sandia National Labs in Livermore, CA is available for an applied mechanics engineer with a strong background in computational constitutive model development. The work will support our current projects in the areas of continuum plasticity and failure modeling. The applicant will also be expected to implement models into Sandia computer codes for high-performance computing simulations. In addition, the candidate will collaborate with structural analysts to apply these advanced models to Sandia applications.

A postdoctoral position is immediately available in the areas of multiscale/multiresolution formulations and analysis in computational mechanics/physics. The project entails investigation of stochastic upscaling techniques and derivations of reduced-order models. Interested applicants should preferably have backround in uncertainty modeling and/or statistical learning. Proficiency in scientific computing and programming is necessary.

Inquiries and applications (including a detailed CV with names of three references) should be directed to: