Postdoctoral Fellow in Machine Learning

Postdoctoral Fellow, In situ TEM and Machine Learning at Johns Hopkins University and Sandia National Laboratories

Requisition #: A-84296-3

Status: Full Time

Type: Other

School: Whiting School of Engineering

Department/Program: Department of Materials Science and Engineering

Location City: Baltimore

Location State: MD

Location Zip Code: 21218

Closing Date: Open until filled

To apply: apply.interfolio.com/84296

General Description

Applications are invited for a postdoctoral position at Johns Hopkins University, with a designated visiting scholar position at Sandia National Laboratories (Albuquerque, NM). The position will focus on in-situ transmission electron microscopy (TEM) experiments and machine learning. Experiments will be performed under various combinations of extreme environments utilizing facilities at both the Johns Hopkins University Materials Characterization and Processing Center and the in-situ ion irradiation TEM (I3TEM) facility at Sandia National Laboratories (Albuquerque, NM). This work will involve in-situ ion irradiation coupled with other in-situ stimuli, such as mechanical strain, heating, and various environments and machine learning techniques.

The successful applicant will be part of a dynamic, multi-university team which includes both theoretical and experimental personnel. The focus of the applicant will be to investigate and characterize radiation damage processes in metallic materials, including pure metals and high entropy alloys.

 Ideal candidates will have experience with in-situ and high resolution TEM, sample fabrication including focused-ion beam (FIB) lift-out methods, and defect and microstructural analysis of metallic systems

Qualifications

Basic Qualifications:

• A Ph.D. in materials science, physics, mechanical engineering, or related disciplines is required.
• Experience with in situ TEM imaging and diffraction of metallic materials. 
• Knowledge of crystalline defects and microstructure.
• Experience image processing and image techniques.
• Experience in scripting/programming (Python, Matlab, C++) for data processing.
• Must be comfortable to travel to Sandia National Laboratories in Albuquerque, NM 87123

Preferred Qualifications:

• Knowledge of aberration corrected high resolution TEM.
• Experience with machine learning techniques.
• Ability to disseminate research findings through peer-reviewed articles and presentations.
• Knowledge of precession electron diffraction and/or electron backscattered diffraction.

Application Instructions

Potential applicants should please apply directly here in Interfolio.  Please include your cover letter, CV, list of names/contacts of three references, and copies of relevant publications.  If you require sponsorship for work authorization, please be sure to include this information in your cover letter.

Any questions, please email dmse@jhu.edu.   Please put Taheri Postdoc in the subject line. 

The successful candidate(s) for this position will be subject to a pre-employment background check.

If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711.

The following additional provisions may apply depending on which campus you will work. Your recruiter will advise accordingly.

• During the Influenza ("the flu") season, as a condition of employment, The Johns Hopkins Institutions require all employees who provide ongoing services to patients or work in patient care or clinical care areas to have an annual influenza vaccination or possess an approved medical or religious exception. Failure to meet this requirement may result in termination of employment.
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