VIE - Digital Engineer F​/H

Position: VIE - Digital Engineer  F/H
Job Summary
:
EDF is seeking a highly motivated AI/Digital Engineer to join their Fuel Design team to transform data and machine learning applications within the nuclear fuel cycle. The role involves applying advanced machine learning and AI techniques to enhance decision-making in fuel cycle optimization, core design, inventory management, and operational forecasting.

Responsibilities
:

• Propose, develop, and implement AI/ML models to solve real-world problems in nuclear fuel management, including:

Fuel loading pattern optimization

• Burnup and depletion prediction

• Fuel inventory planning

• Anomaly detection in reactor operations

• Collaborate with subject matter experts to translate nuclear domain knowledge into model features and constraints.

• Design experiments and simulations using physics-informed machine learning or integrate ML with reactor simulation tools.

• Clean, preprocess, and analyze large datasets (e.g., simulation outputs, operational data).

• Build and maintain custom Gym environments or RL frameworks for nuclear fuel design and optimization.

• Communicate findings through visualizations, dashboards, and technical reports for both technical and non-technical stakeholders.

• Work cross-functionally with engineering, operations, and business units to integrate ML tools into workflows and decision systems.

• Stay current with advancements in AI/ML and evaluate their applicability in the nuclear sector.

Qualifications
:
Required
:

• B.S. or M.S. in Computer Science, Data Science, Nuclear Engineering, Applied Mathematics, or a related field.

• Demonstrated experience applying automation (using e.g., Python or Bash) on Linux systems to accelerate workflow and enhance data analysis.

• Strong understanding of runtime optimization and parallel computing in a HPC environment.

• Proficiency in Python and ML libraries such as scikit-learn, Tensor Flow, PyTorch, or Stable-Baselines
3.

• Experience with data handling tools (e.g., Num Py, Pandas, SQL).

• Strong understanding of supervised, unsupervised, and reinforcement learning methods.

• Familiarity with optimization algorithms, constraint handling, and evolutionary computation.

• Ability to explain technical details clearly to non-experts and collaborate across disciplines.

Preferred
:

• PhD in Computer Science, Data Science, Nuclear Engineering, Applied Mathematics, or a related field.

• Knowledge of regulatory or economic constraints in nuclear fuel supply chains.

Company
:
EDF creates a net zero energy future through power, innovative solutions, and services that assist to save the planet. Founded in 1946, the company is headquartered in Paris, FRA, with a team of 10001+ employees. The company is currently Late Stage.