Postdoctoral Fellow: Uncertainty-Driven LPBF Microstructure

Tribonet; Blacksburg (VA); Hybrid; USD 55,000 - 70,000; Full time

Job summary

Virginia Tech in Blacksburg seeks a postdoctoral researcher in the Department of Mechanical Engineering to advance uncertainty quantification and machine learning for LPBF process-structure-property relationships. You will characterize LPBF microstructure and surface topography and relate findings to process parameters.

The role includes mentoring graduate students, collaborating with research groups, and contributing to STEM outreach.

Qualifications

• PhD in mechanical engineering or related field.
• Evidence of high-quality research publications in relevant areas.
• Experience in metal additive manufacturing, tribology, or uncertainty quantification.

Responsibilities

• Characterize surface topography and microstructure of LPBF parts.
• Relate microstructure and surface data to LPBF process parameters using UQ framework.
• Collaborate with graduate students and mentors; contribute to STEM outreach.

Skills

Strong research publications

Experience in metal AM/tribology/unc.

Self-motivated

Effective communication skills

Education

PhD in mechanical engineering

Tools

EBSD measurements

DOE software (R/Python)

Job description

Virginia Tech in Blacksburg seeks a postdoctoral researcher in the Department of Mechanical Engineering to advance uncertainty quantification and machine learning for LPBF process-structure-property relationships. You will characterize LPBF microstructure and surface topography and relate findings to process parameters.

The role includes mentoring graduate students, collaborating with research groups, and contributing to STEM outreach.