Postdoctoral Research Associate-Manufacturing Engineering

  • Georgia Southern University
  • Statesboro, Georgia
  • Full Time
Postdoctoral Research Associate-Manufacturing Engineering

Job ID288347

Location

Statesboro, Georgia

Full/Part TimeFull-Time

Regular/TemporaryRegular

About Us

Join Our Team at Georgia Southern!

Georgia Southern is a dynamic university with three vibrant campuses in Hinesville, Savannah and Statesboro serving the communities in Southeast Georgia. As a Carnegie Doctoral/R2 institution, our world-class scholars instruct about 26,000 students in associate's, bachelor's, master's and doctoral level degree programs. Whether you are seeking the charm of a small town, the traditions of a historical/urban destination near the beach or supporting our military service members and their families, Georgia Southern offers its faculty and staff the best of all worlds!

Beyond an ideal location, there is a place for you to work in an exciting environment abounding with opportunities for personal and professional growth. We are steeped in tradition and devoted to academic distinction in teaching, scholarship and service. In 2018 Forbes Magazine listed Georgia Southern, along with 10 other Georgia companies or institutions, as one of America's Best Midsize Employers. Georgia Southern University is passionate about serving our region while preparing our students to be lifelong scholars, leaders, and responsible stewards of their communities and the world.

To learn more about Georgia Southern's Vision, Mission and Values please click here:

Location

Statesboro Campus - Statesboro, GA

Department Information

Research Services and Sponsored Programs

Job Summary

The LANDTIE Research Lab at Georgia Southern University is seeking a highly motivated Postdoctoral Fellow to contribute to cutting-edge research in advanced nondestructive evaluation (NDE), manufacturing methodologies, and material characterization. The successful candidate will work on federally funded projects (NIST, NSF, DOT) involving the integration of AI, robotics, and data science into experimental and theoretical NDE and smart manufacturing systems. Responsibilities include conducting independent research, publishing results, mentoring students, and contributing to interdisciplinary collaborations in advanced sensing and materials testing.

Responsibilities

Conduct original research in advanced nondestructive evaluation (NDE), structural health monitoring, and smart manufacturing systems

Design and execute experiments involving ultrasonic, electromagnetic, and other material testing techniques

Develop and apply computational models (e.g., finite element or wave propagation simulations) for defect detection and materials analysis

Integrate AI, machine learning, and robotics into NDE and manufacturing processes for automation and data-driven insights

Analyze experimental and simulation data to derive performance metrics and improve system design

Write and publish peer-reviewed papers, technical reports, and project deliverables for sponsors including NIST, NSF, and DOT

Mentor graduate and undergraduate students, supporting their contributions to collaborative research tasks

Present research findings at national and international conferences, workshops, and internal program review meetings

Required Qualifications

Educational Requirements

Ph.D. in Mechanical Engineering, Materials Science, Manufacturing Engineering, Electrical Engineering, or a closely related field (must be completed by the start date of the appointment)

Required Experience

Demonstrated research experience in nondestructive evaluation (NDE), material characterization, or advanced manufacturing

Hands-on experience with experimental techniques, such as ultrasonic testing, electromagnetic sensing, or related NDI methods

Proven ability to conduct independent research, analyze data, and publish in peer-reviewed journals

Experience with technical writing, including reports, proposals, or academic publications

Required Qualifications

Resume

Cover Letter

Two (2) Professional References

Preferred Qualifications

Preferred Educational Qualifications

Ph.D. with a focus on nondestructive evaluation (NDE), advanced manufacturing, ultrasonic testing, robotics, or AI/data science applications in engineering.

Preferred Experience

Academic or professional experience involving interdisciplinary research, including theoretical modeling and experimental validation

Experience working on or with federally funded research projects (e.g., NIST, NSF, DOE, DOT)

Proposed Salary

$54,000

This is an exempt position paid on a monthly basis.

Knowledge, Skills, & Abilities

ABILITIES

Consistently exhibit engaging customer service

Ability to support various constituencies served by the University

Proven proficiency with computers including Microsoft Office, Google, and/or applications as required for specific position

KNOWLEDGE

Adhere to University policies and procedures to meet Institutional goals and support University's mission for student success

Familiarity with finite element analysis, wave propagation simulation, or other modeling tools used in materials and NDE research

Knowledge of data acquisition, signal processing, and automation tools used in smart manufacturing environments

SKILLS

Effective communication (verbal and written), organizational and human relations skills

Experience integrating AI, machine learning, or robotics into engineering research or manufacturing systems

Experience collaborating on federally funded projects (e.g., NIST, NSF, DOT, DOE)

Prior involvement in interdisciplinary teams and mentoring students or junior researchers
Job ID: 487455439
Originally Posted on: 7/31/2025

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