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Master's Thesis in Data Science

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Veenendaal, Utrecht, Nederland Info Support Voltijd
Master's Thesis in Data and AI

We are seeking a highly motivated and skilled master's student to work on a challenging project in the field of data and AI. The project focuses on the optimization of sustainable energy sources and energy infrastructure, with a specific emphasis on the development of a deep learning model that identifies optimal locations for wind turbines, solar panels, and water turbines.

About the Project

The project is part of the SEMS graduation project, which aims to build a Sustainable Energy Management System that manages the distribution and load-balancing of green energy. The system should be able to distribute energy effectively, meeting demand at any time of the day, and ensuring that the energy grid is not overloaded.

Responsibilities
  • Develop a deep learning model that uses historical weather data and energy demand to identify optimal locations for wind turbines, solar panels, and water turbines.
  • Analyze historical data related to weather patterns, energy consumption patterns, and the existing energy infrastructure.
  • Develop an algorithm that selects optimal locations for sustainable energy sources, taking into account the capacity of the existing energy infrastructure and environmental factors.
Requirements
  • Strong background in data engineering, algorithms, and energy transition.
  • Excellent programming skills, with experience in developing deep learning models.
  • Good understanding of energy infrastructure and sustainable energy sources.
What We Offer
  • A challenging and rewarding project that contributes to the development of a sustainable energy management system.
  • € 1000 compensation, € 500 + lease car or € 600 + living space.
  • Professional guidance and support from our research center.
  • Courses aimed at your graduation period.
  • Support from our academic research center at your disposal.
  • Two vacation days per month.