Technical Lead in Digital Transformation - DTU Compute

Technical lead, Infrastructure & Collaboration Services

We are looking for a skilled and experienced technical lead with strong background in physics, mathematics and section’ s research topics who will work and lead a team responsible for common digital infrastructure operations assisting scientific software development, deployment and cross-section resource sharing. The scope of the 3-year position includes support of projects and proposals through innovation and on-demand integration of modern physical and mathematical tooling into self-hosted cloud infrastructure and CI/CD pipelines. Additionally, the team may be delegated the management of technical writing, reading and analysis of section’s reports and deliverables, onboarding of new employees.

The job
Together with your team you will

• Set up and maintain an on-premise compute cloud for researchers to deploy and test their applications and hardware in production environments.
• Lead the deployment of shareable physical, mathematical software and embedded hardware into a CI/CD pipeline and instructing their use to reduce overall implementation effort.
• Help teams develop their software using candidate’s knowledge of compute and deployment methods in the respective research areas.
• Observe team dynamics and synergies to innovate and enable tighter collaboration for winning funding applications, consulting on scientific and compute resources.
• Get advantage of existing infrastructure to create new collaboration resources and help teams adopt emerging/mainstream technologies for higher quality research and to secure funding.

You can speak the same technical language as other employees in their respective areas of expertise and propose technical solutions that contribute to quality of proposals/deliverables and their alignment with recent EU standards and technological trends.

Our expectations of you
It is expected that in this role, you will lead and instruct the team to manage cloud infrastructure, use and deploy simulation/optimization algorithms and handle solvers, therefore, the prior experience of setting up and operating private cloud on bare metal is assumed. At least 5-year experience with Modelica, Simulink, Simscape simulation of complex thermodynamic, electrical and chemical systems is essential. The prior management experience of mid-size teams as well as development teams is required.

You are also expected to have a hands-on and experience in:

• Development of high-fidelity models for complex real-time systems using ADE, FEM and CFD.
• Application of SDEs, real and complex functional analysis, classical/quantum compute methods.
• Modern AI: implementation of ML or GenAI agents for energy system optimization and control.
• Real-time systems: designing functional mockup interfaces for import, export and cosimulation.
• Implementation of Data Space connectors, asynchronous communication and microservices.
• Consulting students, academic staff and industrial specialists in at least two of the above topics.

Two or more years of experience with the following compute stack are expected:

• Virtualization and orchestration: K8s with Linux flavors, Proxmox, nested hypervisors, GitOps.
• Network infrastructure: modern CNI plugins, gateways, routing, switching, mesh, VLANs, ipv6.
• Real-time and energy frameworks and libraries in Python, C, Rust, R, Modelica, Simulink, OMC.
• Web programming framework and languages: React, Nodejs, C# or Kotlin, wasm.
• Embedded toolchain including xtensa, RISC-V and ARM architecture.

What we offer in return
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.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations (AC).

The period of employment is 3 years and is a full-time position. Preferred starting date is 1 April 2026 or according to mutual agreement. 

The workplace is DTU Lyngby Campus.

Application and contact
Please submit your online application no later than 20 February 2026 (23:59 Danish time). Open the “Apply now” link, fill out the form and attach your motivated application, CV and exam certificates. 

If you would like additional information about the position, please contact Senior Researcher Razgar Ebrahimy.

Applications received after the deadline will not be considered.

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.

DTU Compute 
Department of 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.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.