Postdoctoral Fellow: AI for PFAS Food Safety Analytics

Oak Ridge Associated Universities; Wyndmoor (PA); Presencial; USD 100.000 - 110.000; Tempo integral

Resumo da vaga

Oak Ridge Associated Universities is seeking a postdoctoral researcher for the SCINet/AI Center of Excellence program at ARS ERRC in Wyndmoor, PA. The fellow will conduct PFAS analyses, develop ML tools, and build high-resolution mass spectrometry databases to advance food safety and agricultural research.

Under mentorship, you will gain experience in data science, AI/ML, and HPC, with opportunities to publish and collaborate across disciplines.

Qualificações

• The candidate should hold or be pursuing a doctoral degree in a relevant field.
• Strong analytical and problem-solving skills are essential.
• Excellent written and oral communication abilities are required.

Responsabilidades

• Conduct non-targeted analysis of PFAS in food, food contact materials, and agricultural samples.
• Develop, test, and refine machine learning models for PFAS identification.
• Compile HRMS databases for PFAS and validate prediction accuracy.
• Apply tools to real-world samples to detect previously unreported PFAS.

Conhecimentos

HRMS expertise

Non-targeted analysis

Data analysis

Machine learning models

R

Python

Scientific writing

Formação

Doctoral degree

Ferramentas

R

Python

Descrição da vaga

Oak Ridge Associated Universities is seeking a postdoctoral researcher for the SCINet/AI Center of Excellence program at ARS ERRC in Wyndmoor, PA. The fellow will conduct PFAS analyses, develop ML tools, and build high-resolution mass spectrometry databases to advance food safety and agricultural research.

Under mentorship, you will gain experience in data science, AI/ML, and HPC, with opportunities to publish and collaborate across disciplines.