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Data Scientist

2 months ago


Baltimore, United States Johns Hopkins University Full time

We are seeking a Data Scientist who will provide scientific support to the Materials Characterization Processing (MCP) Core Facility in the Department of Materials Science and Engineering (DMSE), Whiting School of Engineering, Johns Hopkins University. The position represents the lead data analysist/programmer for the Center for Intelligent Microscopy -- a Center of Excellence in partnership with JEOL Ltd. focused on integration of AI/ML with cutting edge stimulus, controls and automation platforms in TEM and SEM. The position will report to the Director and Director of Operations of the MCP, and work closely with the Associate Director of Electron Microscopy. This will also involve outward facing activities with the broader Johns Hopkins University, including the School of Medicine, as well as the international electron microscopy community. This is a non-tenure track faculty position of the DMSE.

The successful candidate will establish computer interfaces with two new JEOL TEMs, a Grand ARM II and a F200, and an IT700 SEM equipped with a laser for additive manufacture. The TEMs are equipped with a variety of direct electron detectors, EELS and EDS spectrometers. In addition, there are additive manufacture devices designed to generate large data sets for machine learning of materials properties. These tools are located in the brand new state-of-the-art MCP facility in the historic Stieff Silver Building. The MCP is a fully integrated facility designed for automated environmental lab control to guarantee machine performance, and full high-speed data connectivity at the instrument to cross-campus levels. We are looking for a data scientist who will help define how microscopy is done in the future. There will also be plenty of opportunities to participate in cutting edge university, government and industry research.

Specific Duties & Responsibilities

Establish the interface between microscopes and HPC

Develop analytical tools for AI and ML

Teach new users and mentor the progression of student knowledge base

Oversee demonstrations, workshops, etc.

Additional Duties & Responsibilities

Collaborate as Co-PI on grants.

Participate in the national and international microscopy community.

Career development

Qualifications or Specialized Certifications:

Knowledge of artificial intelligence, machine learning and deep learning

Ability to program the interfacing of HPC with JEOL scopes and detectors

Desire and ability to teach microscopy techniques and theory to students, faculty and other researchers

Ability to interface with other staff toward interdisciplinary technical goals

Job Type: Full Time Johns Hopkins University is committed to active recruitment of a diverse faculty and student body. The University is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities and encourages applications from these and other protected group members. Consistent with the Universitys goals of achieving excellence in all areas, we will assess the comprehensive qualifications of each applicant.