Machine Learning Internship - Electrical System Stability in Alcobendas

Description

Job Summary: Internship in the Electrical System Reliability Department to apply advanced AI and data analysis techniques to electrical system security. Key Highlights: 1. Learn Machine Learning and AI for electrical system stability analysis. 2. Develop programming skills with Python. 3. Get started with reinforcement learning and neural networks. RED ELECTRICA DE ESPAÑA, SAU **Alcobendas** (Madrid) T/2026/50102 **What does the company offer?** --------------------------- * **1 internship position** at RED ELECTRICA DE ESPAÑA, SAU for **3 months**, starting in **July 2026** * Monthly gross stipend of **800.00€** * 6 hours per day, morning shift * START Program * Internship location in Spain: Paseo del Conde de los Gaitanes, 177, Alcobendas (Madrid) **What profile is the company seeking?** --------------------------------- * **University undergraduate or master’s student:** Master’s in Artificial Intelligence, Bachelor’s in Artificial Intelligence, Bachelor’s in Computer Engineering, Bachelor’s in Data Science, Bachelor’s in Mathematical Engineering, Bachelor’s in Mathematics * **Language skills:** English level B2. **Proposed Training Plan** ------------------------------- Red Eléctrica is a company involved in the development, operation, and maintenance of electrical system infrastructure, playing a key role in the security, reliability, and efficiency of electricity supply. The internship will take place in the **Electrical System Reliability Department**, an area focused on technical analysis of electrical system behavior and on studying methodologies that enhance its security, stability, efficiency, and resilience. Within this setting, interns will learn how advanced data analysis and artificial intelligence techniques are applied to electrical systems, participating—under supervision—in initiatives related to predictive modeling, machine learning, and decision-support tools. Training Objectives During the internship, the selected candidate will be able to: * Learn to apply **Machine Learning and Artificial Intelligence** techniques to electrical system stability analysis. * Understand the role of advanced models in supporting decision-making within electrical system operations. * Develop programming competencies in **Python**, applied to analysis, validation, and implementation of models. * Get started with techniques such as reinforcement learning, neural networks, and graph-based models, including **Graph Neural Networks — GNN**. * Understand the main challenges associated with electrical system security, efficiency, and resilience. * Apply knowledge of mathematics, data science, computer science, or engineering in a real-world, technically supervised environment. * Strengthen analytical, modeling, result validation, and technical communication skills. Planned Training Activities The intern will participate—always under expert supervision—in activities such as: * Training support in developing Machine Learning models applied to electrical system analysis. * Supervised collaboration in validating advanced models, including neural networks, reinforcement learning, or GNNs. * Learning data handling, preparation, and analysis of technical data related to electrical system operation. * Support in implementing prototypes or analytical tools using Python. * Reviewing results from AI models to understand their usefulness in stability, security, and resilience scenarios. * Familiarization with processes for evaluating, comparing, and improving predictive or decision-support models. * Participating in documenting methodologies, technical results, and conclusions. All activities will be strictly training-oriented and aimed at learning, without involving responsibilities inherent to an employment position. Mentorship and Follow-up The intern will be assigned a **specialized mentor** from the Electrical System Reliability Department, who will facilitate integration and accompany learning throughout the internship period. At the start of the experience, training objectives aligned with the scholarship and the participant’s academic profile will be established. Progress will be periodically monitored, with continuous feedback to reinforce the acquisition of competencies in data analysis, artificial intelligence, programming, and technical understanding of the electrical system. Candidate Profile – Valued Knowledge * Programming or data analysis with **R**. * Data visualization with **Power BI**. * Interest in artificial intelligence applied to the electricity sector. * Basic knowledge of—or motivation to learn about—electrical system stability, operation, and security. Valued Personal Competencies * Analytical thinking and attention to detail. * Technical curiosity and motivation to learn. * Ability to work collaboratively in multidisciplinary environments. * Proactivity in exploring solutions and improving processes. * Ability to clearly communicate technical results. Training Value of the Internship This internship offers an opportunity to develop advanced competencies in **Machine Learning, artificial intelligence, and data analysis applied to electrical system stability**. The participant will learn how AI techniques can contribute to enhancing system security, efficiency, and resilience, within a specialized technical environment and with expert guidance. Regulatory Compliance Review This offer has been drafted with a fully training-oriented focus, framing all activities as learning, support, and supervised participation. To ensure compliance with **Royal Decree 592/2014** and **Royal Decree 822/2021\.}