Company Description NHOA Energy designs, delivers and services Battery Energy Storage Systems for utility-scale and industrial applications worldwide, based on proprietary technology.

We operate through four regional hubs: Milan for EMEA, Houston for the Americas, Perth for Australia Pacific, Taipei for Asia. Our western power electronics secures performance, guarantees absolute cybersecurity and enables optimized system sizing, while our preferential Asian access offers a reliable, competitive, quality-assured battery supply. World-class engineering and grid integration and forming expertise, coupled with local construction and commissioning capabilities, make for a bankable turnkey delivery platform.

NHOA Energy’s service platform combines global best practice with client proximity, enabling a tailored offering. We are committed to exceptional user experience, leveraging cutting-edge pre-emptive maintenance technology and immediate response capabilities to guarantee unparalleled availability. Innovation, human capital, organization, financial strength and a flawless reputation of excellence, integrity and sustainability are the basis of our competitive advantage.

Position

Are you a curious and motivated engineering student ready to work on real-world,

cutting-edge challenges? We are looking for talented thesis students to join our R&D; Department and contribute to innovative projects at the intersection of energy systems, data analytics, and intelligent technologies.

Available Thesis Topics Grid Parameters

Real-Time Estimation

Data-Driven Analysis of PCS Components

Intelligent MCP-Driven Predictive Maintenance: From Anomaly Detection to Automated Action

RAG-Powered Knowledge Assistant for Engineering Teams You will have the opportunity to collaborate with experienced engineers, work on impactful technologies, and turn your academic knowledge into practical solutions. If you’re eager to learn, build, and make a difference, we’d love to hear from you.

Requirements Currently enrolled in a Master’s degree (MSc) in Electrical Engineering, Energy Engineering, Automation Engineering, Computer Engineering, Electronic Engineering, Data Science, Artificial Intelligence, Software Engineering, or related fields, and looking for a thesis opportunity.

Interest in energy systems, data-driven methods, or AI-based solutions

Good communication skills in English Other information Location: Hybrid Remote; Office based in Milan.

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