Postdoctoral Fellow (PREP0004388)
The American Ceramic Society, Gaithersburg, MD, United States
General Description
Salary: $82,000-$85,000 a year
PREP Research Associate
CHIPS Funded Project.
This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title:
Research Staff
The work will entail:
Position for a postdoctoral associate level researcher interested and experienced in applied mathematics, statistics or data science to work jointly with NIST research scientists and mathematicians on the characterization and modeling of properties and spectra of PFAS chemicals, with the goal of improving detection of PFAS compounds, replacing PFAS in plasma etching processes, or identifying solid adsorbent additives to remove PFAS. To accomplish these goals, the candidate will develop mathematical, statistical and AI/ML algorithms for the prediction of chemical properties, infrared and mass spectra, and ionization cross sections, incorporating uncertainty quantification (UQ) into approaches and providing useful information for models to discern patterns in physical properties. The position will be highly interdisciplinary, requiring regular communication between chemists, computer scientists and mathematicians working on modeling these compounds using experimental as well as data from chemistry/physics calculations/simulations.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
Developing novel algorithms for the prediction of physical and chemical properties, infrared and mass spectra, and ionization cross sections using data derived from experiment and computation.
Implementing algorithms to study the performance of classification models.
Assessing uncertainty in prediction and classification of experimental data as well as data sets derived from quantum chemistry and physics calculations and simulations.
Computationally testing models with respect to accuracy and uncertainty quantification.
Developing software to implement these goals (most likely in Python or R).
Disseminating results through posters/seminars at international meetings and university seminars.
Ensuring that all results, findings, data, software, etc. are correctly archived and transmitted through appropriate channels.
Qualifications
An advanced degree in a scientific, mathematical or statistical area.
Familiarity with applied science and numerical work.
Ability to work with a multi-disciplinary research team.
Strong oral and written communication skills.
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.
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
EEO is the Law: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf
#J-18808-Ljbffr
Salary: $82,000-$85,000 a year
PREP Research Associate
CHIPS Funded Project.
This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title:
Research Staff
The work will entail:
Position for a postdoctoral associate level researcher interested and experienced in applied mathematics, statistics or data science to work jointly with NIST research scientists and mathematicians on the characterization and modeling of properties and spectra of PFAS chemicals, with the goal of improving detection of PFAS compounds, replacing PFAS in plasma etching processes, or identifying solid adsorbent additives to remove PFAS. To accomplish these goals, the candidate will develop mathematical, statistical and AI/ML algorithms for the prediction of chemical properties, infrared and mass spectra, and ionization cross sections, incorporating uncertainty quantification (UQ) into approaches and providing useful information for models to discern patterns in physical properties. The position will be highly interdisciplinary, requiring regular communication between chemists, computer scientists and mathematicians working on modeling these compounds using experimental as well as data from chemistry/physics calculations/simulations.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
Developing novel algorithms for the prediction of physical and chemical properties, infrared and mass spectra, and ionization cross sections using data derived from experiment and computation.
Implementing algorithms to study the performance of classification models.
Assessing uncertainty in prediction and classification of experimental data as well as data sets derived from quantum chemistry and physics calculations and simulations.
Computationally testing models with respect to accuracy and uncertainty quantification.
Developing software to implement these goals (most likely in Python or R).
Disseminating results through posters/seminars at international meetings and university seminars.
Ensuring that all results, findings, data, software, etc. are correctly archived and transmitted through appropriate channels.
Qualifications
An advanced degree in a scientific, mathematical or statistical area.
Familiarity with applied science and numerical work.
Ability to work with a multi-disciplinary research team.
Strong oral and written communication skills.
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.
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
EEO is the Law: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf
#J-18808-Ljbffr