Postdoc: AI/ML Spectra Predictor for PFAS

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

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.