Department of Applied Mathematics and Computer Science

DTU Compute

DTU Compute is an internationally unique academic environment with 400 employees and 10 research sections spanning the scientific disciplines of mathematics, statistics, computer science, and engineering. We offer education ranging from bachelor's degrees to PhDs and support continuing education, all rooted in these scientific disciplines. We conduct research, teaching, and innovation of a high international standard – producing new knowledge and technology-based solutions to societal challenges. We collaborate with other universities, external organisations, and companies in Denmark and abroad. We believe in a diverse, inclusive workplace with a flexible work-life balance.

About

Research at DTU Compute

DTU Compute consists of ten pure research sections, each with its own focus, all engaging in cross-disciplinary research. These sections conduct research at the intersection of mathematics, statistics, and computer science. Additionally, two sections focus on research-based innovation and collaboration with external partners, businesses, and organisations. Research also occurs at several separate research centres affiliated with one or more sections.

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Section

Algorithms, Logic and Graphs

The AlgoLoG section comprises leading researchers dedicated to research in the fields of Theoretical Computer Science and Discrete Mathematics — from AI and machine learning to algorithms.

Section

Cognitive Systems

CogSys researches how humans and machines interact, and how advanced data analysis can impact our quality of life — from the internet that reads minds to hearing aids that listen to our voices.

Section

Cybersecurity Engineering

This section focuses on the methods, processes, and tools for the design, development, and analysis of secure computing systems accessible through a network like the Internet — also known as cyberspace.

Section

Dynamical Systems

DynSys performs research within mathematics of dynamical systems – from energy systems to aerodynamics – encompassing modelling, forecasting, optimization, and control in both deterministic and stochastic systems.

Section

Embedded Systems Engineering

This section conducts research across the vast spectrum of computing infrastructure, from mobile phones to cloud computing, all aimed at addressing societal challenges and driving societal progress.

Section

Mathematics

This section carries out fundamental mathematics research. We establish the mathematical knowledge base for emerging new areas in the technical sciences and explore new applications of pure mathematics.

Section

Scientific Computing

SciCom conducts research that bridges applications, mathematical modelling, theory, and the associated numerical algorithms — the science of using computers and mathematics to solve problems in science and engineering.

Section

Software Systems Engineering

Software is an essential component of digitalisation, and its role is increasingly prominent. Our digital society requires software that is reliable, built on scientific and engineering principles, and aligned with societal values and expectations.

Section

Statistics and Data Analysis

This section focuses on statistics, quantitative genomics, bioinformatics, pattern recognition, and software development. We are committed to supporting other departments at DTU and external partners in these areas.
3D printet rabbits for use in VR calibration

Section

Visual Computing

VisCom conducts research in image analysis and computer graphics, covering areas such as medical image analysis, geometry and appearance modelling, computer vision, and the analysis of 3D microstructures.

Research & collaboration

Innovation

Our Innovation section assists companies and organisations in their development through collaborations with DTU Compute. It is one of two sections dedicated to research-based, cross-disciplinary innovation collaboration.

Research & collaboration

Tech4Civ

Tech4Civ is a unique section integrating research into the delivery of activities via the Living Lab, supporting private and public organizations in the democratization of technology for a sustainable future.

Research Centres

Some of the research at DTU Compute is conducted at centres affiliated with the department. These centres often involve collaboration with external partners, including other universities, organisations, and businesses both within Denmark and internationally. Our research centres are often based on one of our research sections, but they also engage in cross-disciplinary research.

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News from DTU Compute

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07 April 2025

Nordic IoT Hub boosts research with remote labs

Over seven years, DTU and four other Nordic universities have conducted more than 80 joint courses for PhD students and researched Industrial Internet of Things (IIoT) with support from NordForsk. Additionally, a strong professional network has been established, providing unique access to test facilities and developing an IoT roadmap.

17 March 2025

Visit from the United Arab Emirates: How DTU works with AI

Last week, we welcomed H.H. Sheikh Abdullah bin Zayed Al Nahyan, Deputy Prime Minister and Minister of Foreign Affairs for the UAE, who is very interested in AI. DTU's President and key professors presented our AI research and discussed its future. And one of our startups, BrainCapture, showcased its mobile EEG device.

26 February 2025

Jens Visbech receives Elite Research Travel Grants 2025

One of this year's recipients is PhD student Jens Visbech from the research section Scientific Computing at DTU Compute.

19 February 2025

Great interest in a four-hour chip design workshop

More than 80 people spent their Saturday with DTU Compute and the Tiny Tapeout project to get hands-on experience with the process of chip design when creating microchips.
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EDUCATION

DTU Compute's teaching is rooted in the core research areas of the department: mathematics, statistics, computer science, and engineering. We offer a wide range of educational programmes, from Bachelor of Science, Bachelor of Engineering, and Master of Science degrees to PhDs and continuing education for professionals looking to upgrade their skill sets.

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Digital Chip Design at DTU

Most Danish companies involved in chip design are located in the Copenhagen area. For the past 50 years, DTU has educated most of the engineers working in chip design. Now, DTU Compute is further strengthening its digital chip design activities.

Dive into the research of digital chip design 

Calendar

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15

maj

Strategic AI – How to Create Value with Your Data

15. maj 08:30 - 12:45 | Would you like to improve your ability to utilize your customer data and other data more productively and learn how AI can make it easy? So join this free workshop. Sign up before 13 May 2025, 12:00.

11

aug

15

aug

Summer school: Time Series Analysis - with a focus on modelling and forecasting in energy systems

11. aug 08:00 - 15. aug 17:00 | Are you interested in integrating renewable and fluctuating energy sources? This summer school focuses on modeling, forecasting, and optimizing the operation of distributed energy resources. Participants will learn about self-tuning models for components like photovoltaic panels and heat pumps, using weather forecasts and control variables. The course covers applications of data-driven models, including performance assessment, flexibility characterization, and fault detection, with a focus on non-parametric models and grey-box modelling with stochastic differential equations (SDEs). Hands-on exercises using R will be provided.

18

aug

22

aug

Edu4Chip Summer School 2025 on Chip Design

18. aug 08:00 - 22. aug 17:00 | The summer school offers an introduction to the chip design process from specification to testing, including open-source tool chains. The event will take place in Denmark at the Technical University of Denmark campus in Kongens Lyngby (near Copenhagen).

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Innovation partnerships

Collaborate with DTU Compute

If your company or organisation needs development or wants to access specialised knowledge and skill sets, DTU Compute offers excellent collaboration opportunities. These range from upgrading employees with specialised skills from our digital toolbox to longer courses with far-reaching results. We even offer full-scale research collaborations and partnerships.

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