Develop models to trace global material and financial flows, uncover bottlenecks, and assess how resource and investment constraints shape pathways to a feasible clean energy transition.
Job descriptionThe pace of the global energy transition will be determined not only by technology readiness but also by the world's capacity to supply critical minerals and mobilize affordable capital amid volatile geopolitics. Shortages, trade frictions, and financial mismatches can stall otherwise viable tipping dynamics and establish carbon-intensive lock-ins.
This PhD will develop an agent-based inspired module that maps global flows of key materials (e.g., lithium, copper, nickel, tin), climate?'finance streams, and trade relationships to derive feasibility and lock?'in indicators of alternative transitions to clean energy technologies. Coupled to an existing family of climate-energy-economic models, called Integrated Assessment Models (IAMs), the module will quantify how resource scarcity, investment risk, and coordination failures reshape decarbonization pathways. Your research will combine methods from network analysis and agent?'based modelling of economic systems to trace how international material and financial interdependencies support or limit the feasibility of a clean energy transition. Your key tasks will include:
- Designing and implementing an agent-based inspired model of global material and financial networks;
- Deriving and analyzing quantitative indicators of feasibility, scarcity, and lock?'in risk associated with trade and investment flows bottlenecks;
- Coupling the module to existing climate-energy-economic models to assess alternative transition pathways under varying geopolitical and financial scenarios;
- Evaluating trade?'offs across feasibility, equity, and robustness dimensions of the energy transition.
Your work environment
You will carry out this research as part of the ERC?'funded RIPPLE project, led by Professor Giacomo Marangoni, and embedded within the Policy Analysis section of the Multi?'Actor Systems department. You'll collaborate with an interdisciplinary team working at the intersection of simulation, optimization, and policy modelling. You will also connect with TU Delft's strong internal network on climate action, particularly through the Climate Action Programme and its Climate Governance theme.
TU Delft offers you a dynamic, international research environment with excellent facilities and support for your academic and professional development.
You will have access to state?'of?'the?'art facilities, labs and equipment to help develop your research. The environment is open and collaborative, promoting daily interaction and knowledge exchange. With minimal hierarchical barriers, you'll benefit from strong mentorship and tailored training. Professional growth is a priority, ensuring your success in academia.
Job requirements- A Master's degree in a relevant field (e.g. Computer Science, Engineering, Policy Analysis, Economics, Environmental Science) with demonstrated proficiency in coding and/or quantitative analysis.
- Interest in agent?'based modelling, network analysis, computational economics, systems thinking, and climate?'related challenges.
- Proficiency in at least one programming language used for scientific or analytical purposes, e.g., Python.
- Excellent communication skills in English, both written and verbal. For more information about English requirements, please see:
- A curiosity?'driven mindset and a passion for doing research.
Delft University of Technology is built on strong foundations. As creators of the world?'famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem?'solvers, both in business and in a social context. At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.
Challenge. Change. Impact
Faculty Technology, Policy & ManagementThe Faculty of TPM provides an important contribution to solving complex technical?'social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. TPM does this with its excellent education and research at the intersection of technology, society and policy. We combine insights from both engineering and social sciences as well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network of knowledge institutions, companies, social organisations and governments. Click here to go to the website of the Faculty of Technology, Policy and Management.
Are you interested in this vacancy? Please apply no later than 23 November 2025 via the application button and upload the following documents:
- CV
- One-page motivation letter indicating how your research interests and experience fit the call.
- Half-page exercise: select one peer?'reviewed article that explores how material, financial, or geopolitical factors have influenced the pace or feasibility of a clean energy transition; then, in half a page, briefly describe one mechanism constraining the transition, one policy or coordination lever to address such constraint, and how modeling or data could help understanding these dynamics at the national or global scale.
- Diplomas/degrees including a grade transcript of previous education at Bachelor and Master level (or preliminary grade transcript if still finishing up your MSc).
Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English?'taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements.
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Het salaris bedraagt €3059 - €3881