MIT.nano job opening: Domain expert imaging/metrology/characterization

June 1, 2023

DOMAIN EXPERT IMAGING/METROLOGY/CHARACTERIZATION, MIT.nano, to provide characterization equipment oversight and support.  Responsibilities include sample handling and preparation for metrology, imaging, and analysis; operation of characterization and preparation equipment; providing training for facility users; overseeing the scheduler to assure accurate records of equipment utilization; supporting regular maintenance of the auxiliary instrumentation; routine laboratory tasks such as lab supplies handling and inventory; communicating to users about schedules/equipment status/expected downtimes during maintenance and repair; and fostering a cooperative environment with fellow staff members, faculty, and the user community. 

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Job Requirements

REQUIRED: Bachelor’s degree in material science, mechanical or chemical engineering, physics, chemistry, or related discipline; four years’ experience with material characterization processes; excellent interpersonal and written and oral communication skills; good judgment; and ability to work independently or within a team in a goal-oriented, highly research-oriented yet disciplined environment that involves frequent interaction with faculty, students, and research staff.

PREFERRED: M.Sc. degree; expertise in optical, electron, and probe microscopy imaging techniques; solid understanding of and ability to explain the effects of changing tool parameters on instrument performance; hands-on experience with operation of advanced characterization equipment (spectroscopic ellipsometry, absorption and transmission spectroscopy, optical profilometry, photoluminescence, scanning electron microscopy, atomic force microscopy, X-ray imaging, and sample preparation techniques); experience with in one-on-one and group training and ability to convey technical content to a community with diverse backgrounds; working knowledge of established and emerging research processes and desire to gain new knowledge/skills; attention to detail; comfort with literature searches and troubleshooting technical issues; experience using computational software (e.g., Python, MATLAB, MathCad).

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