Employment Opportunities

Image Data Analyst Engineer

Apply now Job No: 500455
Work Type: Staff Full Time (1500 hours or greater)
Location: Eglin AFB, FL
Category: Research Staff
Department: Energetic Materials - 250346
Pay Grade: R2/R3 - Exempt
Advertised:
Applications close:

Position Summary:

Are you interested in working for UDRI, a national leader in scientific and engineering research, serving government, industry and nonprofit customers? Join our team at Eglin AFB located in Florida where we work to support the Air Force mission. We invite qualified candidates to apply for our Research Engineer opening! This is a full time benefit eligible position that offers health, dental and vision insurance, retirement, disability, tuition assistance, vacation/sick accrual and holiday pay.

THIS POSITION IS LOCATED AT EGLIN, AFB. The primary purpose of this position is to perform on site research at the AFRL Munitions Directorate at Eglin Air Force Base, Florida. The primary duty associated with this position is to implement and develop quantitative and qualitative image data analysis from energetic material microstructures through traditional and advanced image processing / segmentation methodologies, including machine learning. Additional responsibilities include operation of characterization instruments (electron microscopes, x-ray computed tomography, etc.), measuring material properties that can be related directly to the characterized microstructure, experimental design and implementation, and reporting and publishing results. A successful candidate must be able to work both independently and as a member of a dynamic and challenging team.

Minimum Qualifications:

R2 Minimum Qualifications:
BS degree in Engineering (Mechanical, Materials, Metallurgy), Chemistry, Computer Science, or a closely related field.
A minimum of three years of directly related experience is required
Candidate must have prior experience with image/video data processing and image/video data analysis.
Candidate should be familiar with the theory, operation, and data analysis of general microstructural characterization techniques and equipment to include but not limited to: optical microscopy, scanning electron microscopy, quantitative energy dispersive X-ray spectroscopy, X-ray diffractometry, X-ray computed microtomography, and sample preparation techniques.
Candidate should be familiar with the current state of the art in microstructural characterization techniques.
Candidate must be a U.S. citizen with the ability to obtain a Secret level or higher clearance.
Candidate must be able to obtain a DoD certification in explosives.

R3 Minimum Qualifications:
PhD degree in Engineering (Mechanical, Materials, Metallurgy), Chemistry, Computer Science, or a closely related field.
Minimum of 5 years of directly related experience is required.
Candidate must have prior experience with image/video data processing and image/video data analysis of multicomponent materials (e.g. composites, alloys, microelectronics).
Candidate should have experience with the theory, operation, and data analysis and maintenance of general microstructural characterization techniques and equipment to include but not limited to: optical microscopy, scanning electron microscopy, quantitative energy dispersive X-ray spectroscopy, X-ray diffractometry, X-ray computed microtomography, and sample preparation techniques.
Candidate should be familiar with the current state of the art in microstructural characterization techniques, and an understanding of the capabilities required given a material set/situation.
Candidate must be a U.S. citizen with the ability to obtain a Secret level or higher clearance.
Candidate must be able to obtain a DoD certification in explosives.

Preferred Qualifications:

While not everyone may possess all of the preferred qualifications, the ideal candidate will bring many of the following:

R2 Preferred Qualifications:
2+ years of experience with image analysis, machine learning, or related efforts. Advanced degrees may be substituted for work experience.
Familiarity with energetic materials, including DoD munitions accountability and disposal regulations, standard energetic material characterization publications, and engineering controls.
Understanding of the interplay between constituents in multicomponent materials (e.g. composites, alloys, microelectronics).
Experience working in a national research laboratory setting (DOE, DoD, etc.).
Experience with computing techniques to include Matlab, Python, and Labview.
Experience with machine learning implementation in image analysis or similar research.
Excellence in verbal and written reporting skills and experience working in multi-disciplinary teams.
Existing security clearance and/or existing DoD certification in explosives.

R3 Preferred Qualifications:
6+ years of experience with image analysis, machine learning, or related efforts.
Understanding of the underlying materials science of multicomponent materials (e.g. composites, alloys, microelectronics) and experience in measuring or simulating properties and performance.
Familiarity with energetic materials, including DoD munitions accountability and disposal regulations, standard energetic material characterization publications, and engineering controls.
Experience working in a national research laboratory setting (DOE, DoD, etc.).
Experience with computing techniques to include Matlab, Python, and Labview.
Experience with machine learning implementation in image analysis or similar research.
Excellence in verbal and written reporting skills and experience working in multi-disciplinary teams.
Existing security clearance and/or existing DoD certification in explosives.

Special Instructions to Applicants:

To apply please submit a cover letter addressing each minimum qualification and any applicable preferred qualifications that you meet.

A federal court on December 7, 2021, issued a ruling that suspends the COVID-19 vaccine requirement that applies to federal contractors nationwide. With this development, the University will pause any enforcement action against employees who have not complied with the requirement to be fully vaccinated by Dec. 8, 2021 or to have requested an exemption to maintain their employment status.

The University will continue to monitor the state of the pandemic on campus and in the community as well as developments in federal and state requirements, and also will continue to regularly consult with public health officials and our medical panel. As has been the case throughout the pandemic, our protocols and requirements are subject to change depending on conditions on campus or in our community, and government requirements.

Closing Statement:

Informed by its Catholic and Marianist mission, the University is committed to the principles of diversity, equity, and inclusion. Informed by this commitment, we seek to increase diversity, achieve equitable outcomes, and model inclusion across our campus community. As an Affirmative Action and Equal Opportunity Employer, we will not discriminate against minorities, women, protected veterans, individuals with disabilities, or on the basis of race, color, national origin, religion, sex, sexual orientation or gender identity.

 

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