![[Hydrogen & Energy Markets] Modeling the Future Cost of Green Hydrogen](https://images.spr.so/cdn-cgi/imagedelivery/j42No7y-dcokJuNgXeA0ig/99fe5b01-75fb-44a4-ba13-8b6ea5219097/h2/w=3840,quality=90,fit=scale-down)
📌 Key facts
📆 Start: Flexible, we aim to begin ASAP
🎯 Objective: Analyze and model the future cost of green hydrogen across different technologies, regions, and energy price scenarios to inform policy and investment decisions
📩 Apply: Send your CV and grade transcript to
andrea.capogrosso@tum.de
- 📌 Key facts
- 💡 Background
- 🎯 Your Mission
- Your tasks may include:
- 🦾 Who We Are
- 🌱 Why It Matters
- 🎓 Profile
- 📝 How to Apply
💡 Background
🌍 Green hydrogen is a cornerstone of the global energy transition. It promises to decarbonize heavy industries, reshape energy markets, and reduce our dependence on fossil fuels. But despite its potential, one challenge remains: cost.
Why does hydrogen cost 2€/kg in some regions and 10€/kg in others? How do policy changes, electricity prices, and technology learning curves influence its future? And most importantly: how can we make hydrogen more affordable and accelerate its impact?
At the Chair for Strategy and Organization (TUM), we are on a mission to combine quantitative research with real-world impact. In this thesis, you will help answer one of the most pressing climate questions of our time: How can hydrogen become truly competitive, and what stands in the way?
🎯 Your Mission
You will support our research by exploring data-driven insights into hydrogen costs, technologies, and policies. Your work will directly support decision-makers across government, industry, and academia.
Your tasks may include:
- Collecting and analyzing up-to-date techno-economic data on hydrogen production
- Modeling the Levelized Cost of Hydrogen (LCOH) under different scenarios (e.g., electricity source, region, year)
- Exploring the role of CO₂ pricing, CAPEX learning curves, and energy market dynamics
- Visualizing cost trends and forecasting potential tipping points for green hydrogen
- (Optional) Applying Python/R to develop interactive tools or simulations
🦾 Who We Are
The Chair for Strategy and Organization is focused on research with impact. This means we do not want to repeat old ideas and base our research solely on the research people did 10 years ago. Instead, we currently research topics that will shape the future. Topics include Agile Organizations and Digital Disruption, Blockchain Technology, Creativity and Innovation, Digital Transformation and Business Model Innovation, Diversity, Education: Education Technology and Performance Management, HRTech, Leadership, and Teams. We are always early in noticing trends, technologies, strategies, and organizations that shape the future, which has its ups and downs.
🌱 Why It Matters
The world is watching hydrogen. The EU Hydrogen Strategy, the U.S. Inflation Reduction Act, and dozens of billion-euro investments are shaping the future. But we still lack transparent, regional, and reliable cost intelligence.
Your thesis will help close this gap. Whether it’s influencing policy design or improving investment decisions: your work will have real-world impact on the climate transition.
🎓 Profile
- You have a background in management, energy, engineering, economics, data science, or related fields
- You’re curious about hydrogen, energy prices, climate tech, and data-driven insights
- You enjoy working analytically and independently
- Experience with Excel, R, or Python is a strong plus, but not a must
- You want your thesis to matter and to shape the energy system of tomorrow (this is a must!)
📝 How to Apply
lease send an e-mail to andrea.capogrosso@tum.de. The e-mail should include 1) your desired starting date, 2) CV, 3) grade report and a short paragraph on why this excites you.