Postdoc: AI-Driven PFAS Analytics for Food Safety

Oak Ridge Institute for Science and Education; Wyndmoor (PA); On-site; USD 100,000 - 110,000; Full time

Benefits offered by this job

Relocation assistance

Health insurance supplement

Job summary

Oak Ridge Institute for Science and Education invites a postdoctoral fellow to join ARS ERRC SCINet AI Center of Excellence in Wyndmoor, PA. The project focuses on non-targeted PFAS analysis, developing ML tools and HRMS databases for food and agriculture samples.

You will work under a mentor, gain hands-on experience in data science, scientific computing, AI/ML methods, and receive online training in R and Python, plus a monthly stipend.

Qualifications

• Currently pursuing or have a doctoral degree in a relevant field.
• Excellent written and oral communication skills.
• Experience with HRMS and ML methods is desirable.

Responsibilities

• Conduct research on non-targeted PFAS analysis in food, materials, and agricultural samples.
• Develop machine learning tools and HRMS databases for PFAS identification.
• Validate prediction accuracy and apply tools to real-world samples.

Skills

HRMS

Non-targeted analysis

R

Python

Machine learning

Problem solving

Written communication

Oral communication

Scientific publishing

Education

Doctoral degree

Tools

HRMS

R

Python

ML tools

Job description

Oak Ridge Institute for Science and Education invites a postdoctoral fellow to join ARS ERRC SCINet AI Center of Excellence in Wyndmoor, PA. The project focuses on non-targeted PFAS analysis, developing ML tools and HRMS databases for food and agriculture samples.

You will work under a mentor, gain hands-on experience in data science, scientific computing, AI/ML methods, and receive online training in R and Python, plus a monthly stipend.