Internship Net Data & Modelling

Overview

During this internship, you develop and validate a method to derive medium voltage from local grid data. You investigate which data and modelling approach are required and assess the accuracy and applicability of the solution. You deliver a prototype algorithm, a comparison of methods, and a well-founded recommendation on implementation within Alliander, including preconditions and identified bottlenecks.

• Learn, develop, and gain experience within a professional environment
• Analyse existing calculation methods and compare variants with and without additional data
• Develop models and validate results across different parts of the grid
• Inventory data sources and identify bottlenecks in data, modelling, and implementation
• Quantify accuracy and translate results into a prototype algorithm and recommendation

You will work with two departments: OT-Hub and Systems Operations. OT-Hub develops, distributes, and manages data services that enable measurement and control of the energy network. The Research & Innovation department focuses on energy systems, grid data, modelling, and operational grid management. Work is hybrid – partly in the office, partly from home.

• A WO degree in Applied Physics, Electrical Engineering, Data Science, or (Applied) Mathematics
• Experience with modelling
• Knowledge of data analysis using Python
• Knowledge of electricity physics and/or electrical engineering

• An internship allowance of €550 per month based on a 40-hour workweek
• A laptop and, if required, a phone
• Travel reimbursement if no student travel card