Talascend is currently seeking an Thermal Hydraulics Engineer for a remote, contract opportunity with our client.

Overview

The role involves developing and validating thermal hydraulic analysis methods to support the design and licensing of advanced reactor systems.
The engineer will contribute to system transient code development, perform reactor transient analyses, and assist with code benchmarking, verification, and validation activities.
Responsibilities

Develop system-level thermal hydraulic analysis methods, including modeling strategies and numerical approaches.
Perform steady-state and transient system-level analyses to characterize model behavior and assess method performance.
Support method qualification through verification, applicability assessments, and performance characterization.
Formulate and integrate closure models and empirical correlations into existing analysis frameworks.
Identify modeling gaps and support method enhancement through sensitivity studies.
Develop automated workflows and tools for model setup, execution, and post-processing.
Document modeling methodologies, assumptions, and numerical performance for design and licensing activities.
Coordinate with other disciplines to ensure effective integration of thermal hydraulic methods within plant design and safety analysis workflows.
Apply and improve quality assurance practices to ensure traceability and reproducibility of modeling efforts.
Qualifications

Degree in Mechanical, Nuclear, Chemical Engineering, or similar fields.
6+ years of experience in system-level thermal hydraulic modeling and method development for nuclear or energy systems.
Demonstrated experience in developing or improving analysis methods, including numerical scheme development and stability/accuracy optimization.
Experience with thermal hydraulic simulation tools such as RELAP5 3D, GOTHIC, SAS, or equivalent.
Strong foundation in thermal fluids and reactor system behavior, including advanced reactor phenomena.
Experience conducting sensitivity analyses and identifying modeling gaps.
Familiarity with scientific programming and workflow automation using Python, MATLAB, or similar tools.
Understanding of NQA 1 quality assurance practices for modeling workflows, including documented methodologies and configuration control.
Strong analytical thinking, technical communication skills, and the ability to manage multiple development efforts simultaneously.