Kurzbeschreibung: Forschung im Bereich 3D Printing / Computational Design / Soft Materials
Description (eng.): The Mueller Lab (muellerlab.com) in the Whiting School of Engineering at Johns Hopkins University is inviting applications for multiple fully-funded positions for PhD students and Postdoctoral Fellows in the areas of 3D Printing and Additive Manufacturing, Computational Design and Optimization, and Mechanical Metamaterials. Additional positions may be available for Master’s theses.
The successful candidate(s) will develop novel 3D printing techniques, materials, and designs for Unmanned Aerial Vehicles (UAVs), prosthetics and exoskeletons, soft robotics, and other technologically advanced applications. The positions are in collaboration with other groups in the school, including the JHU Topology Optimization Group (ce.jhu.edu/topopt) and Mechanics of Soft Adaptive Materials Lab (nguyenlab.wse.jhu.edu), the Army Research Lab (arl.army.mil), and Bell Textron (bellflight.com).
The candidates must hold a master’s or PhD in Mechanical Engineering, Materials Science, Chemical Engineering, or a related discipline, and be experts in at least one of the following areas
– Hardware-, material-, and software-design for 3D Printing, desirably with a focus on Direct-Ink Writing
– Complex fluids, including non-Newtonian materials and rheological characterization
– Active and multifunctional materials for application in (multistable) mechanical metamaterials
– Computational design including topology optimization and numerical modeling
Interested applicants should email their application materials to Prof. Jochen Mueller (firstname.lastname@example.org) and include (i) Curriculum Vitae with a complete publication list, (ii) contact information of at least three references, and, if applicable, (iii) three representative publications. Evaluation of candidates will begin immediately and continue until the positions are filled. Initial appointments will be for 12 months with the option to renew.
The Mueller Lab’s research is embedded at the intersection of Additive Manufacturing, Functional Matter, and Computational Design. We develop fabrication processes that enhance the structural complexity, material versatility, and throughput speed in 3D printing. We employ modern computational tools, such as numerical modeling, optimization, and machine learning to explore the new design space. The results are (meta)materials, structures, and processes with outstanding properties and novel functionality.
Contact: Prof. Jochen Mueller, jochen[ät]jhu.edu