Research Scientist - Computational Physics and Machine Learning
Organisation Name: UES, Inc
Organisation Type:
City:
State:
Country:
Job Description:
UES, Inc. is seeking a Scientist in the areas of computational physics, machine learning and optimization, to serve as a collaborative member of the Soft Matter Branch within the Materials and Manufacturing Directorate of the Air Force Research Laboratory at Wright Patterson Air Force Base in Dayton, OH. Advances in additive manufacturing (AM) techniques have significantly broadened the realizable design space for complex geometries and material property distributions, such as gradients in stiffness, permittivity and coefficient of thermal expansion. This spatial patterning capability of AM promises to extend and reshape the performance envelope of current designs based on traditional manufacturing methods, however advances in computational design optimization tools are needed to fully leverage AM. The research project will focus on the development of computational models, optimization tools and machine learning-assisted approaches for design of material architectures and devices. Specific project areas include: Coupled mechanical-electromagnetic optimization for design of AM graded structures Origami-based reconfiguration and mechanical instability design Prediction of variance mechanisms and uncertainty in AM micro-composites Expertise with finite element (FE) methods, FE software (i.e. COMSOL, Abaqus, HFSS, etc.), technical computing languages (i.e. Matlab, Python, C++, etc.) and/or parallel computing is required. Experience with Multiphysics finite element simulations, including mechanics, electromagnetics or thermal is highly desired. Excellent oral and written communication skills are a prerequisite for employment. The successful candidate will be self-motivated and capable of working independently, as well as an effective collaborator with researchers from different technical backgrounds. Requirements: A PhD in Mechanical Engineering, Electrical Engineering, Civil Engineering Applied Math, Physics, Materials Science, or related field of study is required. Technical computing experience in computational mechanics or computational electromagnetics Experience with optimization, classification, and machine learning methods This position is working within a government facility and requires U.S. Citizenship Additional Information UES, Inc. is an innovative science and technology company providing customers with superior research and development expertise since its inception in 1973. Our long-term success is a direct result of a strong commitment to the success of our employees. We look forward to reviewing your application. UES, Inc. is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for most positions.
