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Welcome to the Design Reasoning and Evolution for Advanced Manufacturing (DREAM) lab! DREAM lab focuses on the research of computational design and fabrication. Specifically, we aim to study the design problems occurring in the entire product lifecycle, from early-stage conceptual design to design modeling, simulation, realization, and fabrication. The lab’s core mission is to develop computational design approaches to tackle societal challenges in healthcare, energy, and climate change. As such, we investigate broadly in the areas of perception-driven design, design optimization, functional materials and devices design, design for 3D printing, and physics-informed and data-driven inverse design. A wide spectrum of design applications, such as human-centric products, metamaterials, and aerospace components, are investigated by exploiting computational methodologies such as generative design, geometry processing, data analytics, and geometric deep learning in the DREAM lab.

PhD Openings Heading link

Position Description: The DREAM (Design Reasoning and Evolution for Advanced Manufacturing) lab at UIC has multiple PhD positions available immediately. DREAM lab focuses on the research of computational design and fabrication. Specifically, we aim to study the design problems occurring in the entire product lifecycle, from early-stage conceptual design to design modeling, simulation, realization, and fabrication. The core mission of the lab is to develop computational design approaches to tackle societal challenges in healthcare, energy, and climate change. As such, multiple positions will broadly be in the areas of perception-driven design, design optimization, functional materials and devices design, design for 3D printing, physics-informed and data-driven inverse design. Example research directions are programmable materials design and structure-processing-property relations understanding. For more information, please see Dr. Huang’s website: https://dream.lab.uic.edu/.

Qualifications: DREAM lab is recruiting highly motivated PhD students with background in design and manufacturing. Ideal candidates are expected to have a bachelor’s or master’s degree in mechanical engineering, industrial engineering, material science, data science, or closely related fields. It is desirable that the candidate has strong programming or material characterization experience and is interested in additive manufacturing and outfitting a diverse multi-culture lab. Fluent communication skills (verbal, presentation, and writing in English) are required to enable effective interaction with technical peers, scholars, and sponsors.

Expected Start Time: Spring/Fall 2024. If you are interested in the positions, please send CVs and letters of intent (no more than one page) to Dr. Jida Huang: jida@uic.edu. The deadline for applying for the full scholarship can be found at https://applygrad.uic.edu/portal/programs. Candidates must submit an official application to the program in the MIE department on the administration website https://mie.uic.edu/graduate/admissions/ (Industrial Engineering and Operations Research Program).

Our research is generously supported by Heading link

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