Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
-
Field
-
19th October 2026 Languages English English English The Department of Electric Energy has a vacancy for a PhD Candidate in AI-Supported Long-Term Hydropower Scheduling Apply for this job See
-
funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Context and challenges: Hydropower is a
-
page to watch video, or click here to open video) About the position Embankment Dam Safety under Flexible Hydropower Operation: Internal Erosion and Filter Performance About the position The Department
-
use after one is appointed. Application Deadline 12/11/2026 5:00:00 PM Eastern Time Zone Description The U.S. Department of Energy’s (DOE) Hydropower and Hydrokinetic Office (H2O) enables research
-
for use after one is appointed. Application Deadline 12/11/2026 5:00:00 PM Eastern Time Zone Description The U.S. Department of Energy’s (DOE) Hydropower and Hydrokinetic Office (H2O) enables research
-
on Milestones and Deliverables on existing Statements of Project Objectives (SOPO) developed by the AMEC team in close collaboration with DOE hydropower and hydrokinetic (H2O) Office. Collaboration with U.S
-
. Knowledge of renewable energy systems (hydropower, wind, solar) and their grid integration. Experience in mathematical modeling, optimization algorithms, and data-driven methods. Possess a strong academic
-
Research FieldEngineeringEducation LevelMaster Degree or equivalent Skills/Qualifications The following knowledge will be positively valued: - Operation of hydropower plants - Fluid mechanics - Electricity
-
availability and quality for hydropower and thermoelectric plant performance and compliance Water and energy requirements for data centers, and associated impacts on river systems and power grids AI/ML modeling
-
related to the modeling and control for complex systems in manufacturing (papermaking and steel making), transportation and power grid (hydropower and transmission systems, data analysis, etc.). Develop