Johns Hopkins University
Assistant Research Scientist (PREP0003640)
Johns Hopkins University, Baltimore, Maryland, United States, 21276
Overview
PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. The PREP program supports staff collaboration with researchers at academic institutions and requires that collaborating institutions receive a PREP award. The role involves performing technical work in applied data science to support interdisciplinary research in forensic chemometrics and uncertainty quantification in mass spectrometry, in collaboration with mathematicians and experimentalists at NIST. The goal of this work is to develop improved classification and identification algorithms in analytical chemistry and to incorporate uncertainty quantification into models to provide useful information. The position requires regular communication between modelling mathematicians and experimentalists who collect data.
Responsibilities
Implement optimized calculations to study AI classification algorithms.
Assess uncertainty in classification of experimental data.
Computationally test mathematical models relating to uncertainty quantification.
Significant software development (most likely Python).
Disseminate results through posters and seminars at meetings and seminars.
Ensure that results, findings, data, and software are correctly archived and transmitted through appropriate channels.
Qualifications
Either completed master’s degree or PhD in data science or related field.
Minimum of 1 year of experience conducting data science research.
Significant coursework in mathematics, statistics and/or computer science.
Knowledge of or interest in acquiring knowledge of chemistry and chemometrics methods.
Familiarity with larger computational and AI/ML software packages.
Ability to program in a modern computational language (e.g., Python).
Application Instructions
Please upload the following with your application: CV/Resume and contact information.
Equity, Privacy, and Compliance The Johns Hopkins University is an Equal Opportunity Employer and 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 characteristics. Privacy and information-use notices apply as described in the program and university policies.
Pre-employment information, background checks, and accessibility accommodations may apply. For more information, see the university’s privacy, equal opportunity, and accessibility notices.
Miscellaneous To apply, visit: apply.interfolio.com/170749
#J-18808-Ljbffr
PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. The PREP program supports staff collaboration with researchers at academic institutions and requires that collaborating institutions receive a PREP award. The role involves performing technical work in applied data science to support interdisciplinary research in forensic chemometrics and uncertainty quantification in mass spectrometry, in collaboration with mathematicians and experimentalists at NIST. The goal of this work is to develop improved classification and identification algorithms in analytical chemistry and to incorporate uncertainty quantification into models to provide useful information. The position requires regular communication between modelling mathematicians and experimentalists who collect data.
Responsibilities
Implement optimized calculations to study AI classification algorithms.
Assess uncertainty in classification of experimental data.
Computationally test mathematical models relating to uncertainty quantification.
Significant software development (most likely Python).
Disseminate results through posters and seminars at meetings and seminars.
Ensure that results, findings, data, and software are correctly archived and transmitted through appropriate channels.
Qualifications
Either completed master’s degree or PhD in data science or related field.
Minimum of 1 year of experience conducting data science research.
Significant coursework in mathematics, statistics and/or computer science.
Knowledge of or interest in acquiring knowledge of chemistry and chemometrics methods.
Familiarity with larger computational and AI/ML software packages.
Ability to program in a modern computational language (e.g., Python).
Application Instructions
Please upload the following with your application: CV/Resume and contact information.
Equity, Privacy, and Compliance The Johns Hopkins University is an Equal Opportunity Employer and 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 characteristics. Privacy and information-use notices apply as described in the program and university policies.
Pre-employment information, background checks, and accessibility accommodations may apply. For more information, see the university’s privacy, equal opportunity, and accessibility notices.
Miscellaneous To apply, visit: apply.interfolio.com/170749
#J-18808-Ljbffr