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access to state-of-the-art numerical models and high-performance computing systems at Princeton and in NOAA, working alongside GFDL model developers and software engineers to advance quality assurance and
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. Candidates who are nearing completion of their Ph.D. (i.e. with a confirmed defense/viva date) or hold a Ph.D. in chemical engineering, materials science and engineering, chemistry, physics, or a closely
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access to state-of-the-art numerical models and high-performance computing systems at Princeton and in NOAA, working alongside GFDL model developers and software engineers to advance quality assurance and
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of their Ph.D. (i.e. with a confirmed defense/viva date) or hold a Ph.D. in chemical engineering, materials science and engineering, chemistry, physics, or a closely related field are particularly encouraged
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opportunity to work closely with our engineers and other research staff. Projects may include software package creation and maintenance, data engineering, development and/or implementation of advanced
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leverage these findings for bioengineering applications. Candidates completing (i.e., with a confirmed defense/viva date) or holding a PhD in chemical engineering, physics, bioengineering, chemistry, or a
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collaborate with the ARG team on developing grant proposals. Qualifications Required qualifications: Doctoral degree in a related field, such as Architecture, Civil Engineering, Robotics, etc. Excellent track
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chemical engineering, physics, bioengineering, chemistry, or a closely related field, with a strong interest in biological systems are particularly encouraged to apply. We seek candidates with expertise in
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systems at Princeton and in NOAA, working alongside GFDL model developers and software engineers to advance quality assurance and data dissemination capabilities for making high-resolution earth system
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may include software package creation and maintenance, data engineering, development and/or implementation of advanced statistical methodologies, and supporting research on high performance and cloud