This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
The work will entail:
NIST’s Engineering Lab (EL) Systems Integration Division, Life Cycle Engineering Group is seeking a researcher in operations research and industrial engineering. We are expanding our research to develop ways of maximizing the value of U.S. microelectronics and semiconductors based on principles of circular economy.
Microelectronics are valued for their processing capabilities and the materials that they contain. Operations research is applied to enable value recovery from the perspective of measuring the flow of materials, used in semiconductors, throughout the economy. We create methods to measure what, when and how much material will become available in the future and viable pathways for reclaiming those materials into the economy.
By applying advanced forecasting methods to establish and validate circular pathways for microelectronic recovery, the project will deliver science-based techniques that strengthen domestic semiconductor manufacturing capabilities. The results will include a suite of decision support tools (metrics, models, and published research) to improve recovery outcomes, thereby strengthening supply chain resiliency via new material sources, and enabling stakeholders to respond dynamically to material availability challenges in the future.
We seek experienced research candidates with a background in micro and nano engineering, operations and/or supply-chain management, and a Ph.D., M.S. and/or related experience with a record of research in peer-reviewed publications. US citizenship needed.
Key responsibilities will include but are not limited to:
- Conduct a literature survey including data collection on state-of-the-art of the microchip manufacturing process and chip product value chain.
- Develop a strong understanding of the microchip market including the strengths and limitations of U.S. chip-making.
- Develop high fidelity simulation models (across multiple product life cycles and product value chains) to quantify and characterize the material stocks and flows, and uncertainties and risks associated with domestic chip manufacturing sector.
- Propose and develop quantitative evaluation metrics to effectively maximize microchip value.
- Regularly synthesize results and analyses of findings and disseminate these via NIST program partners, special reports, high-impact journal publications and as presentations at technical conferences.
Qualifications:
Desired skills/technical knowledge include a combination from the following:
- An understanding of micro/nano fabrication processes for chips and first-principle modeling
- Systems thinking, supply chain modeling, and knowledge of integrated production systems
- Data analysis and visualization with Python and/or MATLAB
- Predictive modeling and ML techniques, including dimensionality reduction, regression, and classification (ANOVAs single and multi-factor, non-parametric methods)
- Stochastic Modeling (probabilistic models and their applications to manufacturing systems)
Please upload the following (preferably in a single PDF) with your application:
- CV/Resume
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Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor’s degree holders, graduate students, master’s degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
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