Postdoctoral Fellow (PREP0004008)

Johns Hopkins University; Baltimore (MD); On-site; USD 60,000 - 80,000; Full time

Benefits offered by this job

Health and life insurance

Career development opportunities

Retirement support

Job summary

Johns Hopkins University is seeking a PREP Research Associate in Baltimore, Maryland. This role involves performing technical work to support scientific research on PFAS using AI/ML methodologies. Candidates should hold a Ph.D. in chemistry or physics and possess strong programming skills.

The position offers opportunities for collaboration and dissemination of research findings through various channels. A commitment to equal opportunity in employment and adherence to health requirements is expected.

Qualifications

• Demonstrated experience in conducting quantum scattering calculations.
• Motivated, independent researcher with good organizational, communication, and leadership skills.
• Solid track record of scientific publication.

Responsibilities

• Develop libraries of training data through mining of existing databases.
• Create AI/ML models for high-fidelity prediction of spectra.
• Collaborate with other researchers to meet project goals.
• Disseminate results through scientific communications.

Skills

Strong programming skills in Python or C/C++

Experience with modern AI/ML software frameworks

Data analysis

Education

Ph.D. in chemistry, physics, or closely aligned field

Job description

PREP Research Associate

CHIPS Funded Project

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). It supports a collaboration with academic institutions on specific projects of mutual interest. Individuals in this role will perform technical work supporting the collaboration's scientific research.

Research Title

Postdoctoral Researcher Applying Machine Learning Methodologies to Predict Spectra of PFAS

U.S. Citizen Preferred

Key Responsibilities

• Develop libraries of training data through mining of existing databases and simulation of infrared and mass spectra using quantum chemistry and related methodologies.
• Create AI/ML models for high‑fidelity prediction of infrared and mass spectra and validate them against experimentally measured spectra.
• Collaborate with other computational and experimental researchers to meet project goals.
• Disseminate results through publications, talks, poster presentations, and other scientific communications.

Qualifications

• Ph.D. in chemistry, physics, or a closely aligned field.
• Demonstrated experience in conducting quantum scattering calculations.
• Strong programming skills in Python or C/C++, experience with modern AI/ML software frameworks, and data analysis.
• Motivated, independent researcher with good organizational, communication, and leadership skills.
• Solid track record of scientific publication.

Salary Range

The referenced salary range represents the minimum and maximum salaries for this position. Not all candidates will be eligible for the upper end. The actual compensation offered may vary and will depend on factors such as location, skills, experience, internal equity, market conditions, and education/training.

Total Rewards

Johns Hopkins offers a total rewards package that supports employee health, life, career, and retirement. More information can be found at https://hr.jhu.edu/benefits-worklife/.

Equal Opportunity Employer

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. 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 characteristics.

Background Checks

After receiving a conditional offer, successful candidates will be subject to a pre‑employment background check, including education verification. Conviction history is considered based on nature, gravity, time elapsed, and job relevance.

EEO is the Law

https://www.eeoc.gov/employees-job-applicants

Vaccine Requirements

Johns Hopkins University strongly encourages, but does not require, at least one dose of the COVID‑19 vaccine. The School of Medicine requires full vaccination with an FDA‑approved COVID‑19 vaccine and proof of status. All faculty, staff, and students must receive the seasonal flu vaccine unless an exception is granted for sincerely held religious beliefs or medical conditions. For additional information, visit https://www.hopkinsmedicine.org/coronavirus/covid-19-vaccine/ and https://covidinfo.jhu.edu/health-safety/covid-vaccination-information/.