Responsibilities

Participate in the SciDAC project to develop an optimization and a shape uncertainty quantification capability for ACD¿s parallel eigensolver Omega3P. Assume a leading role in the development of a multi-physics tool that can perform thermal and structural analysis as part of ACD¿s parallel electromagnetic codes. Responsible for advancing numerical methods and improving algorithms as part of the collaboration with SciDAC Centers for Enabling Technologies (TOPS and ITAPS) to enable large scale simulations to meet planned SciDAC goals for new accelerator design. This position has the possibility to converting to regular on going position.

Required Skills

Ph.D. in Computational Science and Engineering with excellent academic record and solid background in applied mathematics and computer science. Significant post-graduate research experience in PDE-constrained optimization and uncertainty quantification using inverse problem techniques. Knowledge of finite-element methods and mechanical engineering essential. Notable achievements in high-performance computing and strong publication record. Exceptional analytical and problem-solving skills required. Demonstrated ability to pursue original, independent work while equally productive in an integrated team environment. Extensive experience in interacting with outside collaborators preferred.