Post Doctoral Fellow - Smart Manufacturing Greenville SC
Post Doctoral Fellow - Smart Manufacturing Greenville SC
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Job Description
The Clemson Composites Center (CCC) at Clemson University is seeking a highly motivated and skilled PostDoctoral Fellow to join our dynamic team. This Postdoctoral Fellowship offers an exceptional opportunity to contribute to two cuttingedge multiinstitutional research projects focusing at:
- AIdriven Quality Prediction for Spot Welds
- Modernizing Manufacturing Systems to Enable Industry 4.0.
Responsibilities and Expectations:
- Conduct highlevel research in both projects and collaborate with the projects teams
- Publish research findings in peerreviewed journals and present at national and international conferences.
- Contribute to the mentorship and supervision of graduate students within the research group.
- Support the team in the preparation of proposals for the followon funding.
About Clemson Composites Center (CCC) and Clemson Universitys International Center for Automotive Research (CUICAR): The CCC is a stateoftheart research facility comprising some of the most advanced material characterization and processing equipment available in an academic setting. The CCC is dedicated to working with industry to develop transform and commercialize costeffective efficient and sustainable technologies for lightweight composites. CCC is part of Clemson Universitys International Center for Automotive Research (CUICAR) which is a 250acre research campus in Greenville South Carolina. Its a magnet for industry gatherings in the Southeast and is home to 17 resident partners multiple research laboratories and Clemson Universitys automotive engineering program. The campus also hosts regional and global conferences and events. CUICAR is a unique research park thats not just a location but also has active academic programs where companies can interact.
- Ph.D. in Mechanical Engineering Computer Science or a related field.
- Strong background in machine learning data analytics and digitalization technologies.
- Excellent programming skills in Python R or similar languages.
- Strong communication and collaboration skills.
Preferred Qualifications:
- Experiene in smart manufacturing research
- Experience in manufacturing field particularly in the automotive or plastic/composites industry.
Employment Type
Grant
