Data-Driven Materials Characterization Postdoc

UT-Battelle; Knoxville (TN); On-site; USD 65,000 - 95,000; Full time

Benefits offered by this job

On-site fitness

Relocation assistance

Flexible work hours

Employee discounts

Job summary

Oak Ridge National Laboratory (UT-Battelle) is seeking a Postdoctoral Research Associate to join the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division. The role integrates materials science, materials characterization, and data science to develop new methodologies for characterizing and improving component quality produced by advanced manufacturing.

The candidate will develop algorithms and workflows, publish in journals, and collaborate with R&D staff.

Qualifications

• PhD in materials science or closely related field completed within the last five years.
• Strong background in materials characterization techniques (microscopy, XRD, EBSD, X-ray CT).
• Programming skills using Python or modern C/C++/C#.

Responsibilities

• Develop algorithms and software tools for visualizing and analyzing materials characterization data.
• Develop novel, data-driven materials characterization workflows.
• Advance understanding of process-structure-property relationships via digital manufacturing practices.
• Publish research in peer reviewed journals and conferences.
• Support R&D staff members on their projects.
• Deliver ORNL’s mission by upholding core values and promoting a respectful workplace.

Skills

Python

C/C++/C#

Materials characterization

Data analysis

Education

PhD in materials science

Job description

Oak Ridge National Laboratory (UT-Battelle) is seeking a Postdoctoral Research Associate to join the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division. The role integrates materials science, materials characterization, and data science to develop new methodologies for characterizing and improving component quality produced by advanced manufacturing.

The candidate will develop algorithms and workflows, publish in journals, and collaborate with R&D staff.