Next-generation aerospace platforms demand structural components that far exceed traditional load-bearing roles. To achieve unprecedented mission versatility and survive extreme flight regimes, vehicles require integrated systems that are simultaneously multiscale (spanning from micro-lattices to macro-level layouts), multifunctional (embedding thermal, electrical, or sensory capabilities), and adaptive (capable of dynamic shape or stiffness changes). Developing these highly coupled, complex structures requires advanced generative design methods that can navigate massive, multiphysical design spaces. An opportunity exists for basic and applied research to advance topology optimization methodologies specifically tailored for the conceptional design and physical realization of these advanced structural categories. This research emphasizes both computational algorithm development and the experimental validation of resulting prototypes. Research topics of interest include: (1) developing topology optimization frameworks capable of designing structures for combined loading environments; (2) guiding the developing of machine learning methods to accelerate design cycles; (3) advancing topology optimization methods to design coupled structural-motor-sensor networks and embedded active materials; (4) integrating aeroelastic analysis tools with topology optimization to design adaptive structures for operation in severe aerodynamic or hypersonic conditions; and (5) leading the design, build, and test phases of physical prototypes to validate optimzed concepts.

Bielefeldt, Brent R., Darren J. Hartl, and Marcelo H. Kobayashi. Topology Optimization Via L-systems and Genetic Algorithms: Bioinspired Encoding for Generative Design. Cambridge University Press, 2025.

Bielefeldt, Brent, Richard Beblo, Kevin Lawson, Edward Meixner, and Robert Lowe. "Development and validation of an offline multiscale topology optimization framework using interpolated constraint functions." Computer Methods in Applied Mechanics and Engineering 444 (2025): 118120.

Bielefeldt, Brent R., Darren J. Hartl, Joshua D. Hodson, Gregory W. Reich, Philip S. Beran, Alexander M. Pankonien, and Joshua D. Deaton. "Graph-based interpretation of L-system encodings toward aeroelastic topology optimization of a morphing airfoil in supersonic flow." In Smart Materials, Adaptive Structures and Intelligent Systems, vol. 59131, p. V001T04A013. American Society of Mechanical Engineers, 2019.

Topology Optimization; Multiscale Modeling; Multifunctional Materials; Adaptive Structures; Multidisciplinary Design Optimization; Structural Mechanics; Machine Learning; Metamaterials; Morphing

citizenship

Open to U.S. citizens

level

Open to Postdoctoral and Senior applicants

Additional Benefits

relocation

Awardees who reside more than 50 miles from their host laboratory and remain on tenure for at least six months are eligible for paid relocation to within the vicinity of their host laboratory.

health insurance

A group health insurance program is available to awardees and their qualifying dependents in the United States.