Postdoctoral Researcher Opportunity in Computational Energy Systems and Digital Transformation
IT:U – Interdisciplinary Transformation University, Linz, Austria Education MESD invites interested and eligible candidates to apply for a postdoctoral research opportunity at IT:U – Interdisciplinary Transformation University, Linz, Austria, one of Europe’s emerging public universities focused on the digital transformation of science, business, and society. This opportunity is suitable for researchers who want to work […]
IT:U – Interdisciplinary Transformation University, Linz, Austria
Education MESD invites interested and eligible candidates to apply for a postdoctoral research opportunity at IT:U – Interdisciplinary Transformation University, Linz, Austria, one of Europe’s emerging public universities focused on the digital transformation of science, business, and society.
This opportunity is suitable for researchers who want to work at the intersection of science, digital transformation, computational modelling, sustainability, climate policy, and energy systems research.
IT:U follows a project-based and interdisciplinary learning model where researchers and students from diverse academic backgrounds work together to address global challenges such as climate change, energy transition, public health, and sustainable development.
About the Research Group
The position is associated with the research group led by Prof. Dr. Falko Ueckerdt at IT:U. The group focuses on computational approaches for understanding and supporting the global energy transition.
The research environment offers opportunities to collaborate with leading international institutions and research partners, including organizations working in climate impact research, energy systems analysis, industrial transformation, and computational modelling.
The group is small but rapidly growing, offering a collaborative academic culture, close supervision, and strong opportunities for high-impact research output.
Key Research Areas
The selected candidate may contribute to one or more of the following areas:
- Computational modelling for energy transition and climate policy
- Energy systems analysis and scenario modelling
- Hydrogen and heavy industry transformation
- Data-intensive research and applied modelling
- Collaborative software development for research
- Material flow analysis and integrated assessment modelling
- Policy-oriented research communication
- Interdisciplinary research on sustainability and digital transformation
The exact research focus will be shaped based on the candidate’s background, interests, and strengths.
Main Responsibilities
The postdoctoral researcher may be involved in:
- Developing and analysing computational models and datasets
- Writing and publishing high-impact scientific papers
- Working on collaborative coding and research software projects
- Supervising PhD researchers and Master’s students
- Presenting research at international conferences
- Collaborating with global research partners
- Supporting academic teaching activities
- Assisting in research funding proposals
- Communicating research insights to industry, policymakers, and stakeholders
- Following institutional academic and ethical standards
Eligibility Criteria
Applicants should have:
- A completed PhD in a relevant discipline, such as:
- Computer Science
- Data Science
- Applied Mathematics
- Physics
- Economics
- Engineering
- Environmental Science
- Climate Science
- Energy Science
- Other related fields involving computational methods
- Strong programming experience
- Knowledge of Python or R is preferred
- Experience with computational modelling or research software development is an advantage
- Familiarity with collaborative coding tools such as Git is desirable
- Experience with energy systems modelling, scenario analysis, PyPSA, material flow analysis, or integrated assessment modelling will be an added advantage
- Strong analytical and problem-solving skills
- Good written and verbal communication skills in English
- Prior experience in scientific publication and academic presentations
Benefits and Opportunities
The role offers:
- Opportunity to work in a young and internationally oriented public university in Austria
- Close collaboration with leading researchers and global institutions
- Research exposure in climate, energy transition, and digital transformation
- Opportunities for international conferences and research stays abroad
- Access to strong technical infrastructure, including high-performance computing resources
- Flexible working arrangements
- Supportive academic environment for scientific and career growth
- Opportunity to contribute to policy-relevant research on sustainability and energy transition
Required Application Documents
Interested candidates should prepare the following documents:
- Updated CV
- Cover letter explaining motivation, past experience, research interests, and suitability for the role
- PhD certificate
- Academic transcripts and certificates
- Summary of programming experience and computational methods used
- Link to GitHub, GitLab, personal website, or similar profile, if available
- Contact details of 2–3 academic or professional references
Candidates are advised to include university grades and, where available, high school academic records, as required in the original application instructions.
Apply Through Education MESD
Interested candidates may apply through Education MESD for application guidance, document preparation support, and submission assistance.
Education MESD can assist candidates with:
- CV review and formatting
- Cover letter preparation
- Research profile presentation
- Document checklist support
- Application submission guidance
- Interview preparation support
Final admission, shortlisting, selection, and appointment decisions are made solely by the recruiting university/institution. Education MESD does not guarantee selection or employment.
Who Should Apply?
This opportunity is ideal for candidates who have a PhD and want to build an international research career in:
- Energy transition
- Climate change mitigation
- Computational modelling
- Sustainability research
- Data-driven science
- Research software development
- Digital transformation for society
Candidates with strong programming ability and interest in applied modelling are especially encouraged to apply.
Education MESD provides application guidance and counselling support. The final selection process is managed by the concerned university or hiring institution. This post is shared for informational and candidate support purposes only. IT:U and the recruiting institution remain the official authority for recruitment decisions.