Description du poste
NIST is seeking a researcher to establish the benchmarks, metrics, and reference standards needed to deploy trustworthy machine intelligence in manufacturing. As industry adopts AI faster than it can validate it, this role will deliver the foundational measurement science that ensures smart manufacturing systems are safe, reliable, and production-ready. This notice is issued under direct-hire authority to recruit new talent to occupations for which NIST has a severe shortage of candidates.
PRINCIPALES MISSIONS :
NIST's Systems Integration Division leads efforts to advance the innovation and industrial competitiveness of the U.S. in several areas of critical national priority, including manufacturing, construction, and cyber-physical systems. By anticipating and meeting the measurement science and standards needs of these industries, the Systems Integration Division's work aims to advance the integration of engineering information systems. Within the division, the Information Modeling and Testing Group aims to improve standards and advance their adoption throughout the manufacturing and construction industries. As part of this team, you will carry out measurement science research that will develop the knowledge, models, and tools that will continue to accelerate American industry. As a Advanced Manufacturing Research Scientist, you will: Conduct research developing measurement methods, metrics, and benchmark studies for trustworthy machine intelligence in manufacturing, Develop methods for foundation models-digital twin integration, including uncertainty quantification and synthetic data generation, and Translate research into measurement-science deliverables and standards impact.
QUALIFICATIONS REQUISES :
Basic Requirements: A. Degree: Engineering. To be acceptable, the program must:(1) lead to a bachelor's degree in a school of engineering with at least one program accredited by ABET; or (2) include differential and integral calculus and courses (more advanced than first-year physics and chemistry) in five of the following seven areas of engineering science or physics: (a) statics, dynamics; (b) strength of materials (stress-strain relationships); (c) fluid mechanics, hydraulics; (d) thermodynamics; (e) electrical fields and circuits; (f) nature and properties of materials (relating particle and aggregate structure to properties); and (g) any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, soil mechanics, or electronics. OR B. Combination of education and experience -- college-level education, training, and/or technical experience that furnished (1) a thorough knowledge of the physical and mathematical sciences underlying engineering, and (2) a good understanding, both theoretical and practical, of the engineering sciences and techniques and their applications to one of the branches of engineering. The adequacy of such background must be demonstrated by one of the following: Professional registration or licensure -- Current registration as an Engineer Intern (EI), Engineer in Training (EIT)1, or licensure as a Professional Engineer (PE) by any State, the District of Columbia, Guam, or Puerto Rico. Absent other means of qualifying under this standard, those applicants who achieved such registration by means other than written test (e.g., State grandfather or eminence provisions) are eligible only for positions that are within or closely related to the specialty field of their registration. For example, an applicant who attains registration through a State Board's eminence provision as a manufacturing engineer typically would be rated eligible only for manufacturing engineering positions. Written Test -- Evidence of having successfully passed the Fundamentals of Engineering (FE)2 examination or any other written test required for professional registration by an engineering licensure board in the various States, the District of Columbia, Guam, and Puerto Rico. Specified acade