Computational Materials Scientist – Digital Twin Superheater Steam Boiler-PGRP
A complete application consists of:
- An application
- Transcripts – Click here for detailed information about acceptable transcripts
- A current resume/CV, including academic history, employment history, relevant experiences, and publication list
- Two educational or professional references
All documents must be in English or include an official English translation.
If you have questions, send an email to NETLadmin@orau.org. Please include the reference code for this opportunity in your email.
This research opportunity seeks motivated post-graduates (PhD) interested in teaming up with the Structural Materials and Computational Materials Engineering Teams at NETL which conduct research to evaluate environmental impacts and risk assessments associated with domestic energy resource development and sustainability. Conventional subcritical and supercritical steam boilers that were designed for base load power generation are increasingly operated in conjunction with intermittent renewables. This results in more temperature and pressure cycles than envisioned, and can result in premature boiler tube failures. This research opportunity is to develop a digital twin model of superheater and reheater steam boiler components as a framework to combine 1) design, fabrication, and repair history, 2) sensor and operation inputs, and 3) computational models of oxide growth and spallation. All to predict oxide spallation events and to prevent boiler tube failures. There are also opportunities to develop machine learning processes to improve the usefulness of the digital twin.
Applicants should have demonstrated skill in programming, digital twins, machine learning, communications and teamwork. The successful candidate will possess excellent verbal and written English communication skills, and have demonstrable experience completing research in a collaborative/team environment, as well as ability to represent NETL effectively in conferences and publish research findings in peer-reviewed journals.
- Degree: Any degree .
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Discipline(s):
- Chemistry and Materials Sciences (12 )
- Communications and Graphics Design (2 )
- Computer, Information, and Data Sciences (16 )
- Earth and Geosciences (21 )
- Engineering (27 )
- Environmental and Marine Sciences (14 )
- Life Health and Medical Sciences (45 )
- Mathematics and Statistics (10 )
- Other Non-Science & Engineering (2 )
- Physics (16 )
- Science & Engineering-related (1 )
- Social and Behavioral Sciences (27 )
I certify that I:
- Have an earned or will receive a doctoral or master's degree by appointment start date.
OR
- Have received the degree no more than three years before the date of application (postmasters’ applicants).
OR
- Have received the degree no more than five years before the date of application (postdoctoral applicants).
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