20 deep-learning-phd Postdoctoral positions at National Energy Technology Laboratory (NETL)
Sort by
Refine Your Search
-
and deep learning-based digital twins. Stipend: The selected faculty participant will receive a monthly stipend commensurate with their institutional salary. Program Requirements: To document
-
National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | 19 days ago
modeling (ROM) Some experience with various programming tools (Python, MATLAB, C++, C) Some familiarity with machine learning: predictive modeling, anomaly detection, supervised learning, deep learning
-
-pressure reactor design, safety protocols, instrumentation, and pressurization systems to examine real world, industrially relevant problems in geological hydrogen; and (2) learn the application
-
and contract staff. You will learn how to do the following: Design and validate numerical reservoir models for unconventional enhanced oil recovery processes in shale and tight formations. Calibrate and
-
National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 2 months ago
, fostering the research necessary to maintain global competitiveness in innovative technologies. The learning objectives for this project are: • Developing innovative approaches that effectively convert REE/CM
-
there are also opportunities within facility operations, project management, and other mission support functions. To learn more about ongoing projects, you may visit the NETL website and browse news, core
-
lab results to predictive reservoir models. Through this project, the participant will learn about hands on lab experience, modeling, and presenting and publishing results. The participant will: (1
-
. The researcher will gain an educational experience in multi-scale computational modeling and machine learning of mechanical behavior of high temperature alloys. They will be a part of interdisciplinary team and
-
an accredited college/university. Potential participants should have: PhD in petroleum engineering, civil engineering, geoscience, applied mathematics or a related field. Previous research experience on reservoir
-
software. Through this project, the participant will learn how to: (1) conduct research for full-stack production system that includes Python/FastAPI, MongoDB, and a TypeScript/React client; (2) apply AI and