The Department of Commerce ranked top 5 in the 2023 Best Places to Work in the Federal Government amongst large agencies for the 12th year in a row! The ranking showcases the Department's continued commitment to increasing our employee engagement, employee satisfaction, and positive perceptions towards diversity, equity, accessibility, and inclusion. Come join our team!

Duties

The duties for this postition may include research and develop AI-based approaches for the integrated 3D characterization of nanoelectronic device structures via electron tomography images. Explore, identify, and implement appropriate generative and attention-based AI architectures for denoising and reconstructing electron tomography images. Define efficient training, testing, and validation procedures targeting electron tomography data in coordination with domain experts. Optimize the performance of the computational framework and integrate it with the electron tomography tools to operate in real-time. Communicate and collaborate with team members, both on the experimental and computational sides, other NIST teams, and external teams. Present results at NIST and outside of NIST; prepare manuscripts for publication.

Requirements

• U.S. citizenship
• Males born after 12-31-59 must be registered for Selective Service
• Suitable for Federal employment
• Bargaining Unit Position: No

Qualifications

Basic Requirements: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions. In addition to the basic requirements, applicants must also have 1 year (52 weeks) of specialized experience equivalent to at least the GS-9 (ZP-II at NIST) level. Specialized Experience is defined as one year of experience in Image Processing and Computer Vision, including Image Denoising, Segmentation, Registration, and Reconstruction in both 2D and 3D. OR Master's Degree in a related field OR Combination of Education and Specialized Experience Experience refers to paid and unpaid experience, including volunteer work done. We will credit all qualifying volunteer experience in your application. The qualification requirements in this vacancy announcement are based on the U.S. Office of Personnel Management (OPM) Qualification Standards Handbook. Applicant Reconsideration

Education

This position has an education requirement. Transcripts must be submitted to validate that the education requirement has been met. Unofficial transcripts will be accepted in the application package. However, an official copy will be required prior to a final offer of employment.

Education completed outside of the U.S. must be evaluated by an accredited organization to ensure that it is comparable to education received in accredited institutions in the U.S. Click here to view a listing of accredited organizations from the Department of Education's website. A copy of the foreign education evaluation (containing the results with a course by course listing) is required with your application.

Contacts

• Address Software and Systems Division 100 Bureau Drive Gaithersburg, MD 20899 US
• Name: Tailor Thompson
• Email: [email protected]