Research Fellow (Mechanical Engineering / Nanotechnology)
Core
Develop next-generation metal multimaterial additive manufacturing systems, focusing on automation, control, and in-process monitoring for novel laser powder bed fusion machines.
Role type
Research Fellow (Mechanical Engineering / Nanotechnology)
Builds
Novel laser powder bed fusion systems, multimaterial and functionally graded components, lightweight lattice structures
Domain
Additive manufacturing, materials science, mechanical engineering
Deliverable
production ML models | product features | research
Required skills
Physics-based and data-driven modeling, mathematical modeling of multiscale/multiphysics phenomena, fractal analysis, CAD design (Fusion 360, SolidWorks, nTop), AI/data-driven methods (ANNs, genetic algorithms), materials characterization, LPBF process optimization
Preferred skills
Experience with FDM, SLA/DLP, electrohydrodynamic-based processes (e-jet printing, electrospray, electrospinning)
Technologies
Matlab, Python, ANNs, evolutionary genetic algorithms, LPBF, FDM, SLA/DLP, e-jet printing, electrospray, electrospinning
Responsibilities
Conduct systematic experimental campaigns in multimaterial LPBF, develop modeling frameworks to predict/optimize processes, design and optimize multimaterial components, evaluate powder bed behavior and melt pool dynamics, analyze results to establish process–material–structure relationships, support automation and monitoring development, document findings and prepare publications
Seniority
Mid-Senior, hands-on IC