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Falko Ueckerdt

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Two Postdoc Positions in Energy System & Industry Transformation Modelling Interdisciplinary Transformation University (IT:U) in Austria

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

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Country

Austria

University

Interdisciplinary Transformation University

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Where to contact

Official Email

Keywords

Computer Science
Data Science
Environmental Science
Chemical Engineering
Materials Science
Mathematics
Energy Engineering
Python Programming
Carbon Neutrality
Circular Economy
Energy Transition
Computational Modelling
Economics
Physics
Applied Mathematic

About this position

Interdisciplinary Transformation University (IT:U) in Linz, Austria, is offering two full-time postdoctoral positions in Energy System & Industry Transformation Modelling. As a new technical university dedicated to digital transformation, IT:U fosters interdisciplinary research and project-based learning to address the challenges of climate neutrality and energy transition. The positions are part of the Energy Transition and Climate Futures research group, led by Prof. Dr. Falko Ueckerdt, with strong ties to leading international research institutions such as the Potsdam Institute for Climate Impact Research, Fraunhofer ISI, Technical University Berlin, University of Oxford, Monash University, and Tsinghua University.

The research group focuses on generating scientific insights to guide the transformation towards renewable energy, deep electrification, hydrogen, climate-friendly materials (steel, chemicals), and a circular economy. The team combines advanced computational modelling with policy-relevant research to explore sustainable futures for energy systems, heavy industries, and societies. Postdoctoral researchers will contribute to collaborative code development, data analysis, publishing high-impact papers, supervising PhD and MA students, presenting at international conferences, collaborating with research partners, academic teaching, preparing funding applications, and communicating research results to industry and policymakers.

Applicants must hold a PhD in a relevant discipline (computer science, data science, applied mathematics, physics, economics, engineering, environmental/climate/energy science, or related fields) and demonstrate programming experience (Python or R preferred). Experience with computational modelling, research software development, collaborative code projects using Git, energy systems analysis (e.g., PyPSA), scenario modelling, material flow analysis, or integrated assessment modelling is advantageous. Strong analytical skills, English proficiency (C1), and a record of scientific publication and presentation are required.

Successful candidates will benefit from scientific growth, structured career development, international collaboration, and opportunities for research stays abroad. The working environment includes cozy office spaces, access to IT:U’s high-performance computing cluster, free parking or Climate Ticket Upper Austria, flexible working hours, and remote office options. The university values diversity and encourages applications from all backgrounds.

Competitive compensation starts from €67,000 yearly gross salary, with positions available for up to 4 years. Applications are reviewed on a rolling basis and positions remain open until filled. To apply, submit your CV (including grades and programming experience), cover letter, PhD certificate, certificates and transcripts, and 2-3 references via the online portal. For questions about the research group, contact Prof. Dr. Falko Ueckerdt at [email protected]. For administrative queries, contact Dr. David Bancelin at [email protected].

Join IT:U and contribute to cutting-edge research on energy system transformation, industry decarbonization, and climate futures in a dynamic, international, and interdisciplinary academic environment.

Funding details

Available

What's required

Applicants must have a completed PhD in a relevant discipline using computational methods (such as computer science, data science, applied mathematics, physics, economics, engineering, environmental/climate/energy science, or related fields). Demonstrated programming experience is required, ideally with Python or R. Experience with computational modelling, research software development, collaborative code development projects using Git, and energy systems analysis (e.g., PyPSA), scenario modelling, material flow analysis, or integrated assessment modelling is preferred but not mandatory. Excellent analytical skills, strong written and verbal communication skills in English (level C1), and a track record of publishing and presenting scientific work are expected. Applicants should submit CV (including university and high school grades), cover letter, PhD certificate, certificates and transcripts, and 2-3 references.

How to apply

Apply online via the provided portal. Submit your CV (with grades and programming experience), cover letter, PhD certificate, certificates and transcripts, and 2-3 references. Applications are reviewed on a rolling basis and positions remain open until filled. For questions, contact Prof. Dr. Falko Ueckerdt at [email protected].

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