The ideal candidate will play a crucial role in proposing, developing, and characterizing innovative process-informed design routines. These routines will be built upon methodologies like topology optimization, machine learning, and generative design, with a focus on addressing the specific needs of common Air Force development activities.
Key Responsibilities:
- Propose and explore groundbreaking process-informed design techniques that align with the requirements of Air Force development initiatives.
- Maintain regular and effective communication with the team, providing updates on progress, addressing setbacks, and identifying new avenues for research.
- Foster a collaborative team environment by actively participating in creative discussions with team members engaged in related areas.
- Contribute to the academic community through the creation of research papers, seminars, and workshops, showcasing the advancements made in the field.
Requirements:
- U.S. Citizenship is a prerequisite due to the nature of the work being conducted within a government facility.
- Possess an advanced degree in engineering, mathematics, statistics, or a closely related field.
- Demonstrated experience in design for manufacturing optimization and proficiency in machine learning techniques, including surrogate modeling, neural networks, and dimensionality reduction.
- Self-motivated individual with the ability to work independently and collaboratively within diverse teams, showcasing flexibility to adapt to varying program objectives.
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