Up to 30% off — ends 2 Aug
ONLY00h00m00s
Up to 30% off — ends 2 Aug
ONLY00h00m00s
Oak Ridge National Laboratory
2 weeks ago
Postdoctoral Research Associate in Data Science for Advanced Manufacturing Oak Ridge National Laboratory in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
United States
University
Oak Ridge National Laboratory

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
Oak Ridge National Laboratory’s Manufacturing Demonstration Facility is announcing another round of postdoctoral positions in advanced manufacturing. The research focus spans powder bed fusion, directed energy deposition (DED), machining, polymer manufacturing, and convergent manufacturing systems.
Projects may include in-situ sensor development and machine learning-based analysis of large-scale manufacturing data. This is a strong fit for candidates interested in mechanical engineering, materials science, computer science, and data-driven manufacturing research.
The post notes important visa and export control restrictions; in practice, this typically means U.S. citizenship or lawful permanent resident status is required. Funding details are not specified in the post, but the opportunity is a postdoctoral research associate role at ORNL.
Interested applicants should use the official ORNL job link provided and review the eligibility requirements before applying.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
Ask ApplyKite AI

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.