Johns Hopkins University
Postdoctoral Fellow (PREP0003794)
Johns Hopkins University, Gaithersburg, Maryland, us, 20883
General Description
PREP Research Associate CHIPS Funded Project.
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 and thus requires that such institutions be the recipients 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.
Research Title Closing material loops to strengthen US semiconductor supply chains
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
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
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).
Principles of integrated production systems, including material handling, material flow and information flow, and scheduling.
Application Instructions
CV/Resume (limit to 3 pages and include a valid email address for your contact info. The resume will not be considered if the following information is included: Self portraits, Phone number, Home address/Country, Citizenship status, Languages spoken, Sex/Gender).
Self portraits.
Phone number.
Home address/Country.
Citizenship status.
Languages spoken.
Sex/Gender.
To apply for this position, visit: apply.interfolio.com/177085
Salary Range The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.
Total Rewards Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/.
Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.
EEO is the Law https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf
#J-18808-Ljbffr
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 and thus requires that such institutions be the recipients 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.
Research Title Closing material loops to strengthen US semiconductor supply chains
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
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
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).
Principles of integrated production systems, including material handling, material flow and information flow, and scheduling.
Application Instructions
CV/Resume (limit to 3 pages and include a valid email address for your contact info. The resume will not be considered if the following information is included: Self portraits, Phone number, Home address/Country, Citizenship status, Languages spoken, Sex/Gender).
Self portraits.
Phone number.
Home address/Country.
Citizenship status.
Languages spoken.
Sex/Gender.
To apply for this position, visit: apply.interfolio.com/177085
Salary Range The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.
Total Rewards Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/.
Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.
EEO is the Law https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf
#J-18808-Ljbffr