Postdoc: Fusion Materials + Microfluidics & MS

UT-Battelle; Oak Ridge (TN); On-site; USD 65,000 - 90,000; Full time

Benefits offered by this job

Prescription Drug Plan

Dental Plan

Vision Plan

401(k) Retirement Plan

Relocation Assistance

Educational Assistance

Wellness Programs

Employee Discounts

Job summary

UT-Battelle is seeking a postdoctoral researcher to advance separation methods using mass spectrometry, microfluidics, and MEMS, focusing on hydrogen isotope separation and materials performance under irradiation. The role includes ToF-SIMS, SEM, XRD characterization and data reduction of large spectroscopy datasets.

The successful candidate will contribute to the ANM Group in ORNL, working across experiments and simulations to address DOE priorities and publish findings in peer-reviewed

Qualifications

• Experience with advanced materials characterization equipment.
• Hands-on data analysis for spectroscopy and imaging data.
• Background in vacuum instrumentation and nano/microfabrication is preferred.

Responsibilities

• Perform irradiated materials evaluation on ceramics and alloys.
• Characterize materials with ToF-SIMS, SEM, XRD; analyze large datasets.
• Set up microfluidic reactors and mass spectrometry experiments for gas separation studies.
• Publish results and collaborate with internal and external teams.

Skills

Mass spectrometry

ToF-SIMS

SEM

XRD

MEMS fabrication

Microfluidics

Vacuum technology

Data analysis

Education

PhD in Chemical Engineering

PhD in Materials Science & Engineering

PhD in Nuclear Engineering

PhD in Chemistry (Analytical/Physical)

Tools

ToF-SIMS

SEM

TEM

APT

Raman

XRD instrument

Mass spectrometry instruments

Vacuum pumps

Job description

UT-Battelle is seeking a postdoctoral researcher to advance separation methods using mass spectrometry, microfluidics, and MEMS, focusing on hydrogen isotope separation and materials performance under irradiation. The role includes ToF-SIMS, SEM, XRD characterization and data reduction of large spectroscopy datasets.

The successful candidate will contribute to the ANM Group in ORNL, working across experiments and simulations to address DOE priorities and publish findings in peer-reviewed