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It’s time for your master thesis!

Heidi Ursula H…

Nuclear Fusion as a Building Block for Renewable Energy Systems

This master thesis addresses fundamental questions at the intersection of fusion research and energy system modelling:
How close is nuclear fusion to generating electricity that is economically competitive? What role could fusion play in a fully renewable energy system—backup capacity, hydrogen production, or bridging extended periods of low renewable output? Which technological components dominate costs, and where might potential savings enhance competitiveness?

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Master thesis in Energy Systems Analysis

Nuclear Fusion as a Building Block for Renewable Energy Systems

This thesis addresses fundamental questions at the intersection of fusion research and energy system modelling:

How close is nuclear fusion to generating electricity that is economically competitive? What role could fusion play in a fully renewable energy system—backup capacity, hydrogen production, or bridging extended periods of low renewable output? Which technological components dominate costs, and where might potential savings enhance competitiveness?
 

We offer

  • Supervision by two researchers with expertise in optimisation and energy systems

  • Access to an established energy system modelling framework at Forschungszentrum Jülich

  • Provision of well-structured, high-quality datasets

  • A highly relevant scientific topic with direct societal impact

Your profile

  • Applicants should be enrolled in mathematics, computer science, engineering (with a focus on energy systems), or a related field. We expect:
  • Knowledge of integer programming / MILP

  • Programming experience (Python, C++/Java, Julia, Rust, …)

  • Experience with MILP solvers (Gurobi, AMPL, CPLEX, SCIP, JuMP, …)

  • Basic understanding of physics and engineering concepts, ideally including the fundamentals of nuclear fusion

  • Motivation to implement ideas in practice: reading data, building and modifying integer programmes, and conducting computational experiments

Further Information

 

Ansprechpartner

Portrait of Heidi Heinrichs-better solution

Prof. Dr.-Ing. Heidi Ursula Heinrichs

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