Postdoctoral Researcher - Graph-Based Algorithms for District Heating Networks, Department of Computer Science, Aarhus University

**Postdoctoral Researcher Position in Graph Machine Learning and Energy Network Optimization** The Department of Computer Science at Aarhus University invites applications for a full-time 2-year Postdoctoral position, starting April 1, 2026, or as soon as possible thereafter. **About the Project** This position is part of the Villum Foundation-funded project "Reuse of Waste Heat: Graph-based Algorithms for Spatio-Temporal Optimization of Thermal Networks," which investigates next-generation computational methods to support district heating network planning and operation. **Position and Research Focus** We are offering a Postdoctoral position in graph machine learning, algorithms, and graph management with particular focus on: • Modeling real-world spatio-temporal energy networks • Developing graph algorithms for optimization under physical constraints • Applying graph mining and graph data management techniques • Designing computational methods for waste heat reuse and green transition goals • Collaborating across domains, including civil/architectural engineering and energy management This position is deeply interdisciplinary and will be carried out in close collaboration with Massimo Fiorentini's group at the Department of Civil and Architectural Engineering and Kredsløb, the company managing district heating in Aarhus. The successful candidate will contribute to advancing fundamental algorithms as well as real-world applied solutions. Additionally, the Postdoc is expected to develop their own research profile and participate in the broader activities of the Department and faculty. **Qualifications and Specific Competencies** The ideal candidate has: • A PhD in Computer Science, Informatics, Computer Engineering, or related discipline • Strong background in one or more areas: graph algorithms, data mining, databases, machine learning, optimization, or spatio-temporal modeling • Documented experience handling research challenges and empirical evaluations • Solid programming skills in at least one relevant language (e.g., Python, C++) • Interest in interdisciplinary work involving engineering, sustainability, and real-world infrastructure • Strong written and verbal English communication skills Candidates with backgrounds in Physics, Mathematics, or Statistics are also encouraged to apply if they have strong competencies relevant to machine learning, graph analysis, or applied computational methods. We especially encourage women and candidates from underrepresented groups to apply. Aarhus University is committed to fostering a diverse and inclusive research environment. **Location** Department of Computer Science, Aarhus University Åbogade 34, 8200 Aarhus N, Denmark **Application Requirements** The application must be in English and include: • Curriculum vitae • Degree certificate • Complete list of publications • Statement of future research plans and information about research activities • Teaching portfolio and verified information on previous teaching experience (if any) **Application Process** This position uses shortlisting procedures. After the application deadline, the head of department, with assistance from the assessment committee chairman and appointment committee if necessary, will select candidates for evaluation. All applicants will be notified whether their applications proceed to expert assessment. **Formalities and Salary** Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Taxation and the Danish Confederation of Professional Associations. Salary depends on seniority as agreed between these parties. **About Aarhus University** Aarhus University's ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets and welcome all applicants. Research activities will be evaluated in relation to actual research time. We encourage applicants to specify periods of leave without research activities to allow for accurate evaluation of scientific productivity. Aarhus University offers comprehensive services for international researchers and accompanying families, including relocation service and career counseling. We also provide a Junior Researcher Development Programme targeted at career development for postdocs. At the Faculty of Natural Science, we strive to support our scientific staff in career development, focusing on competency development and career clarification to make opportunities transparent. **Application Deadline: December 19, 2025 at 23:59 CEST** Applications must be submitted via Aarhus University's recruitment system, accessible through the job advertisement on the university's website.