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Scientists have directly measured the minuscule electron sharing that makes precious-metal catalysts so effective. Their new technique, IET, reveals how molecules bind and react on metal surfaces with unprecedented clarity. The insights promise faster discovery of advanced catalysts for energy, chemicals, and manufacturing.

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The Department of Mechanical and Process Engineering (D-MAVT, www.mavt.ethz.ch) at ETH Zurich invites applications for the above-mentioned positions at the tenure-track assistant professor or associate/full professor level.

Micro- and nanoscale engineering and fabrication comprise a fundamental and transversal discipline in mechanical and process engineering, translating the state of the art in the micro- and nanosciences to engineer functional devices for real-world applications in industrial and clinical settings. In this context, we seek applicants with outstanding accomplishments and future potential in research and teaching related to micro- and nanoengineering in any domain related to mechanical engineering or chemical and process engineering. We particularly encourage applicants focusing on biomedical technologies for improved diagnostics or therapies; functional or smart material synthesis, integration and characterization; integrated systems; electromechanical, thermal, and fluidic devices; advanced nanomanufacturing; mechanical systems; and/or sustainable technologies. D-MAVT is committed to world-class interdisciplinary and cutting-edge research that

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We are recruiting a PhD student to contribute to an NSF-funded collaborative project in Prof.  Jindal Shah’s research group in the School of Chemical Engineering at Oklahoma State  University. You can find out more about the project: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2526605

Your work will be critical in explaining molecular-level interaction governing experimental  observations on ionic liquid-polymer hybrid systems. You will also have an opportunity to  interact with fellow group members who leverage quantum chemistry, atomistic simulations,  and machine learning for design of next-generation materials for energy and environment.

You will receive a monthly stipend and tuition waiver.

An ideal candidate will have a strong background in either chemical engineering or a closely  related field with excellent communication and analytical skills. Experience in programming,  numerical simulations, and analysis will be viewed favorably. Candidates whose research  focuses on atomistic simulations of ionic liquids and/or polymers will be given a

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