Use and develop advanced computational techniques and tools to model the process-structure-properties relationships of materials. Explore computational materials models as substitutes for large experimental databases and iterative physical prototypes. Support research investigating the impact of manufacturing processes on the performance of final parts across a breadth of material systems. Apply methodology, algorithms, and software for data collection, uncertainty quantification, model calibration, and model validation. Work under the guidance of experienced staff and gradually become involved in developing proposals for individual and collaborative research projects; interacting with commercial and government clients; writing and presenting reports and technical papers; and managing the technical and financial performance of projects.
Requires a PhD degree in Materials Science, Materials Engineering, Mechanical Engineering, or related field with at least a 3.25 GPA and 0 – 2 years of experience. Must have experience with the concepts and tools for integrated computational materials engineering (ICME) at various length scales, characterizing material microstructures and crystal plasticity theory; must have excellent verbal and written communication skills; must possess the ability to take responsibility for completing tasks on time and within budget; must be able to work both independently and in a team environment; knowledge of surrogate modeling and uncertainty quantification is desired; experience in the following areas would be an asset in this position: additive manufacturing, ceramic materials, composite materials, fatigue and fracture mechanics, finite element modeling, and Bayesian inference. A valid/clear driver's license is required.
Job code: 18-01064