38 materials-science Postdoctoral research jobs at Princeton University in United States
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Computer Science at Princeton University, with the goal of developing next-generation machine-learningâ“based interatomic potentials (MLPs) for Earth and planetary materials across extreme pressureâ“temperature
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for Energy, Environment and Sustainability *Optical Materials and Light Matter Interactions *Quantum Materials Science Qualifications A PhD in Materials Science, Optics, Physics, Chemistry, Electrical
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processing for quantum and microelectronic device nanofabrication. Applicants must have (or expect to have at time of appointment) a Ph.D. in chemical engineering, physics, chemistry, or materials science
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engineering, materials science, electrical engineering, or a related field. Have expert proficiency in the fabrication and testing of solution-processed electronic/optoelectronic devices Be familiar with
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Moore.org or follow @MooreFound. The foundation's $185-million EPiQS initiative promotes discovery-driven research in the field of quantum materials (http://www.moore.org/programs/science/emergent-phenomena
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: 286084265 ***REVISED*** Postdoctoral Research Associate Location: Princeton, NJ Salary Range or Pay Grade: 65,000 Description The Department of Electrical and Computer Engineering invites applications
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Science and Engineering Dynamics and Controls Systems Energy and Climate Fluid Mechanics Lasers and Applied Physics Materials and Mechanical Systems Robotics. This position is not eligible for sponsorship
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breadth of disciplines - from genomics to computer science, sociology to psychology, engineering to environmental studies - to make novel insights and to tackle the full complexity of human health. We seek
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of Engineering and Applied Science invites applications for postdoctoral and more senior research positions. Individuals with evidence of experience in scholarly research and a strong commitment to excellence in
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Research Scholar to join in research efforts of interest to its faculty. Domains of interest include nonlinear partial differential equations, computational fluid dynamics and material science, dynamical