Are you passionate about working on applied European projects where you can advance your fields of research in software engineering? This postdoc position focuses on developing standardized architectures, interoperability frameworks, benchmark datasets, and evaluation methodologies for intelligent urban digital twins. Such efforts would facilitate comparisons among different approaches, improve reproducibility, and accelerate the transition toward scalable, widely deployable intelligent urban digital twins. The position also addresses the need to bridge the gap between research prototypes and operational deployments. Existing studies often remain at the proof-of-concept or laboratory validation stage, with only limited evaluation in real-world environments. The postdoc will therefore contribute to large-scale deployments, longitudinal evaluations, and empirical validation in realistic urban settings, with the aim of better understanding the effectiveness, scalability, and societal impact of intelligent urban digital twins.

Research experience and expertise in one or more of the following areas:

• Software architecture, reference architectures, and architectural design patterns

DTU – For the benefit of society since 1829
DTU is one of Europe's leading elite technical universities. Through research and education at an international top level, we create solutions to the major societal challenges of our time and help secure Europe's global leadership in sustainable technological development. Since Hans Christian Ørsted founded DTU almost 200 years ago, our mission has remained the same: We develop and create value through the natural and technical sciences for the benefit of society. DTU has 13,800 students, 1,600 PhD students, and 6,500 employees. We work in an international environment and have an inclusive, stimulating, and informal work culture. DTU has campuses in all parts of Denmark and in Greenland and collaborates with the best universities around the world.

DTU Compute
DTU Compute – Department of Applied Mathematics and Computer Science – is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting areas such as health, green transition, energy supply, and life science. We collaborate with universities, public and private organisations, and companies in Denmark and abroad, and through DTU’s startup ecosystem, we encourage innovation and entrepreneurship. We have a strong ethical, human, and sustainable approach that ensures integrity in our work. Therefore, we strive for and take responsibility for driving the democratisation of digital technologies, so that everyone has the opportunity to actively participate in the development, and we ensure a continued open, democratic, and inclusive society for the benefit of all. At DTU Compute, we value diversity, inclusion, and a flexible work-life balance. Read more about us at www.compute.dtu.dk

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.

Applications received after the deadline will not be considered.

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• Application (cover letter)
• CV
• Academic Diplomas (MSc/PhD – in English)
• List of publications
• Candidates should provide CVs in the EuroPass format and include language skills.

Application procedure
Your complete online application must be submitted no later than 6 September 2026 (23:59 Danish time).

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.

You can read more about our section at https://www.compute.dtu.dk/sections/dynsys

You can read more about career paths at DTU here.
Further information
Further information regarding the role may be obtained from Shahrzad Pour, at [email protected]. For general information regarding the section and DTU Compute, please contact Razgar Ebrahimy at [email protected]

The period of employment is 2 years. Starting date is as soon as possible (or according to mutual agreement). The position is a full-time position.

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. In addition, supplements can be negotiated in accordance with DTU’s salary structure for scientific staff: https://www.inside.dtu.dk/en/human-resources/during-employment/salary/salary-structures

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

The research at the Dynamical Systems Section is very wide ranging. From foundational research in work on statistical forecasting, modeling of spatial and temporal processes and time series analysis to applied research in wind- and solar power forecasting, electricity price forecasting and in the modelling and forecasting of district heating system. We are part of DTU Compute.

About the Dynamical Systems Section at DTU Compute,
The mission of the section is to conduct research on all levels around dynamical systems. This involves both deterministic and stochastic systems, discrete and continuous systems, deductive and inductive model building, forecasting, and descriptions, as well as control and optimization.

Your new team
You will unfold your good skills and knowledge in the Dynamical System section at the internationally acknowledged elite university DTU in Lyngby campus. We work together with multiple partners at other universities and the industry. You can look forward to being part of a welcoming environment where we share the belief that open minded collaboration is the way forward if you want to break new ground, and that’s exactly what we want to.

As a formal qualification, you must hold a PhD degree (or equivalent).

We are looking for a candidate who is able to work independently and deliver within agreed deadlines while at the same time showing team spirit and motivation for succeeding together as a team. Your creative and innovative mind we take for granted your choice of career taken into consideration. Additionally, your resume must comprise:

• A PhD or equivalent
• Research experience in Software Engineering, Distributed Software Systems, Edge and Cloud Computing
• A strong publication record in international peer-reviewed journals and conferences.
• Experience participating in collaborative national or European research projects is an advantage.
• Excellent communication and teamwork skills.
• Ability to conduct independent research and deliver high-quality results within agreed timelines.

Responsibilities and qualifications

• Conducting research in software engineering, with a focus on intelligent urban digital twins, interoperability, distributed systems, and scalable software architectures.
• Developing and evaluating standardized software architectures, design patterns, reference models, and interoperability frameworks.
• Designing benchmark datasets, evaluation methodologies, and software quality assessment approaches to support reproducible and comparable research.
• Contributing to the development, deployment, and empirical validation of software prototypes in realistic urban and cross-sector settings.
• Supporting large-scale demonstrations, longitudinal evaluations, and applied case studies in collaboration with European project partners, municipalities, industry actors, and public-sector stakeholders.
• Publishing research results in high-impact journals and conferences within software engineering, digital twins, and smart cities.
• Contributing to project deliverables, technical reports, workshops, and dissemination activities.
• Collaborating with interdisciplinary teams and contributing to knowledge sharing across academic, industrial, and public-sector partners.

To succeed, you must actively contribute to nurture an environment of mutual trust, dedicated collaboration and sharing of insights and advancements within the research community.

You will be involved in various national and EU projects spanning cross-sectoral domains like energy, mobility, and more. You will unfold your good skills and knowledge as part of the Dynamical Systems Section. We perform research within a broad range of areas within dynamical systems including optimization, forecasting, control, and digital twins, while advancing software engineering methods for the development of scalable, interoperable, and sustainable software solutions.

Scientific innovation in national and EU projects spanning cross-sectoral domains
Your overall mission is to contribute to pioneering a transformative EU ecosystem to foster digital innovation and facilitate interoperable seamless digital transformation across sectors. As such, you will contribute to building a vital pillar for Europe’s future scientific creativity and innovation.

Join our cutting-edge research team at Dynamical Systems section at DTU Compute and take your career to the next level. As a Postdoctoral Researcher, you'll have the opportunity to develop innovative solutions, cross sector collaboration, and publish in high-impact journals. You will have the opportunity to advance your research profile while contributing to software engineering solutions that address real-world challenges across multiple application domains.

If you additionally like to create results based on knowledge sharing and cross sector collaboration this position could very well be tailored to you.

• Digital twin platforms, urban data platforms, or other complex socio-technical software systems

• Interoperability frameworks, data integration, and cross-system communication

• Microservice-based, cloud-native, edge, and distributed software systems

• Software evaluation, empirical assessment, benchmarking, and validation methods

• Software quality attributes, including interoperability, scalability, modularity, extensibility, maintainability, and reliability

Location
Kgs. Lyngby, Denmark

Apply Before
2026-09-06T21:59:00+00:00