Aberration Corrected S/TEM Domain Expert/Research Scientist

Massachusetts, United States
25 Jun 2020
End of advertisement period
25 Aug 2020
Contract Type
Full Time

Working at MIT offers opportunities, an environment, a culture – and benefits – that just aren’t found together anywhere else. If you’re curious, motivated, want to be part of a unique community, and help shape the future – then take a look at this opportunity.

ABERRATION CORRECTED S/TEM DOMAIN EXPERT/RESEARCH SCIENTISTMIT.nano, to join the state-of-the-art electron microscopy shared experimental facilities (SEF). Will be responsible for overseeing the facility’s capabilities in imaging and analysis for a broad range of applications and sample preparation for electron microscopy. The main responsibility will be to support users in the day-to-day operations of the probe corrected Themis Z Scanning Transmission Electron Microscope (STEM) equipped with an ultrahigh energy resolution monochromator, 4D STEM detector, Super-X EDS detector, tomography, and in situ holders. The position involves extensive collaboration with MIT internal and external users for experimental design, training, experiment execution, data analysis, and development of new methodologies. Will report directly to the assistant director of user services (Metrology.nano) and the MIT.nano faculty and operation leadership. MIT.nano facility is in the early days of its operation and it is likely that the responsibilities will evolve as the facility grows.

Job Requirements

REQUIRED: Ph.D. in material science or similar scientific discipline; at least four years TEM/STEM imaging research experience; strong working knowledge of TEM theory and data analysis; full proficiency operating aberration corrected S/TEM and with analytical microscopy; knowledge of TEM sample preparation techniques; proven ability to independently design, execute, and optimize microscopy experiments; ability to work independently and collaborate as part of a team with a diverse group of researchers, including providing training and services; excellent organizational, troubleshooting, critical thinking, interpersonal, and oral and written communication skills; attention to detail; and willingness to learn and perform a wide range of tasks. 

PREFERRED:  expertise in data management, and Python and/or MATLAB programming experience. Job #18313

MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.

MIT considers equivalent combinations of experience and education for certain jobs. All candidates who believe they possess equivalent experience and education are encouraged to apply.

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