Postdoctoral Data Scientist: Materials Analytics

University of Pittsburgh; Pittsburgh (Allegheny County); On-site; USD 55,000 - 75,000; Full time

Job summary

The University of Pittsburgh invites applications for a Postdoctoral Associate in MDS Rely Industrial Engineering. The role focuses on statistics, data science, and analyzing materials degradation using time series, spectral and image data from real-world additive manufacturing sources.

You will lead and collaborate on research, perform data analysis and software development, supervise students, and help publish manuscripts.

Qualifications

• Ph.D. in Statistics, Biostatistics, Computer and Data Sciences, or Materials Science.
• Strong experience with R and Python for data analytics.
• Familiarity with Hadoop/HBase/Spark is preferred.

Responsibilities

• Lead original and collaborative research projects in MDS-Rely.
• Perform data analysis and software development.
• Publish findings and mentor students.
• Coordinate studies and present results to center members.

Skills

R

Python

Time series analysis

Data analysis

Manuscript writing

Education

Ph.D. in Statistics/Biostatistics/Computer and Data Sciences/Materials Science

Tools

Hadoop/HBase/Spark

Linux

Git

Bitbucket

Confluence

Jira

Slack

Job description

The University of Pittsburgh invites applications for a Postdoctoral Associate in MDS Rely Industrial Engineering. The role focuses on statistics, data science, and analyzing materials degradation using time series, spectral and image data from real-world additive manufacturing sources.

You will lead and collaborate on research, perform data analysis and software development, supervise students, and help publish manuscripts.