Technical University of Denmark
Research Institutes · Higher Education

Technical University of Denmark tech stack

Technical University of Denmark builds mostly with Python, MATLAB, Julia, C++. Its stack also includes PyTorch, Linux, GitHub, Ray. Python is named in 77 of the 147 job postings Technical University of Denmark published in the last 12 months (52%). Counted by Alion from the job postings of Technical University of Denmark, updated Nov 14, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Nov 14, 2026
Technologies in use
61
Postings analysed
147
Open now
38
Modernity
73 /100
New in 6 months
2

What programming languages does Technical University of Denmark use?

Python is named in 52% of job postings at Technical University of Denmark, followed by MATLAB (17%), Julia (8%), C++ (4%).

Python 77 52% required in 99% · 21 open now · since Aug 2026
MATLAB 25 17% required in 100% · 7 open now · since Aug 2026
Julia 12 8% required in 100% · 1 open now · since Aug 2026
C++ 6 4% required in 100% · 3 open now · since Oct 2026
Fortran 4 3% required in 100% · since Sep 2026
Java 2 1% required in 100% · since Sep 2026
Stata 2 1% required in 100% · since Oct 2026
C# 2 1% optional · since Sep 2026

What frameworks and libraries does Technical University of Denmark use?

PyTorch is named in 5% of job postings at Technical University of Denmark, followed by Ray (2%), PennyLane (1%), Qiskit (1%).

PyTorch 7 5% required in 86% · 3 open now · since Aug 2026
Ray 3 2% required in 100% · since Aug 2026
PennyLane 2 1% required in 100% · since Oct 2026
Qiskit 2 1% required in 100% · since Oct 2026
ROS 1 1% required in 100% · 1 open now · since Nov 2026

What cloud and platforms does Technical University of Denmark use?

Linux is named in 4% of job postings at Technical University of Denmark, followed by GitHub (4%), LocalAI (3%), Unix (2%).

Linux 6 4% required in 100% · since Aug 2026
GitHub 6 4% required in 83% · 1 open now · since Aug 2026
LocalAI 4 3% required in 100% · since Aug 2026
Unix 3 2% required in 100% · 1 open now · since Sep 2026
.NET 2 1% required in 100% · since Sep 2026
arXiv 2 1% required in 100% · 2 open now · since Nov 2026
Kubernetes 1 1% required in 100% · since Oct 2026
Windows 1 1% required in 100% · since Aug 2026

What developer tools does Technical University of Denmark use?

Git is named in 3% of job postings at Technical University of Denmark, followed by Canva (2%), AutoCAD (1%), Copilot (1%).

Git 5 3% required in 100% · 1 open now · since Aug 2026
Canva 3 2% required in 100% · 1 open now · since Oct 2026
AutoCAD 2 1% required in 100% · since Aug 2026
Copilot 2 1% required in 100% · since Sep 2026
ANSYS 1 1% required in 100% · 1 open now · since Nov 2026
LIMS 1 1% required in 100% · 1 open now · since Nov 2026
Microsoft Excel 1 1% required in 100% · 1 open now · since Nov 2026
OpenFOAM 1 1% required in 100% · 1 open now · since Nov 2026
Show all (11)
OpenStack1
Simulink1
SolidWorks1

What AI and ML technologies does Technical University of Denmark use?

Gemma is named in 1% of job postings at Technical University of Denmark, followed by LLM (1%).

Gemma 2 1% required in 100% · since Aug 2026
LLM 2 1% required in 100% · since Sep 2026

Which engineering practices does Technical University of Denmark ask for?

Machine Learning is named in 48% of job postings at Technical University of Denmark, followed by Multimodal AI (6%), Reinforcement Learning (6%), Digital Twin (5%).

Machine Learning 70 48% required in 99% · 14 open now · since Aug 2026
Multimodal AI 9 6% required in 100% · 2 open now · since Aug 2026
Reinforcement Learning 9 6% required in 78% · 2 open now · since Aug 2026
Digital Twin 7 5% required in 100% · 3 open now · since Aug 2026
HPC 7 5% required in 100% · since Sep 2026
Computer Vision 6 4% required in 100% · 2 open now · since Aug 2026
Time Series 6 4% required in 100% · since Aug 2026
AI Agents 4 3% required in 100% · 1 open now · since Aug 2026
Show all (27)
Explainable AI2
RAG2
HPLC2
Mass Spectrometry2
Bioreactors1
CRISPR1
Chromatography1
ELISA1
Electrochemical Impedance Spectroscopy1
Electron Microscopy (SEM/TEM)1
Embeddings1
GLP1
Incident Management1
Material Design1
Motion Planning1
Multi-Agent Systems1
PCR1
qPCR1
Next-Generation Sequencing1

What does each Technical University of Denmark team work with?

The technologies each team's postings require most often, with the number of postings that require them.

Early Careers

81 postings
Python46
Julia9
MATLAB9
PyTorch6
C++4
Linux4

Science & Research

16 postings
Python10
MATLAB4
Julia3
Git2
GitHub2

Industrial Engineering

13 postings
Python8
MATLAB6

Operations

7 postings
Canva3
AutoCAD2

Hardware

4 postings
MATLAB4
Python4
Fortran2

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How is the Technical University of Denmark stack changing?

Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.

First appeared
Mass SpectrometryNov 2026
arXivNov 2026
Rising
Multimodal AI0% → 7%
Digital Twin0% → 5%
HPC0% → 5%
PyTorch0% → 5%
C++0% → 4%
Computer Vision0% → 4%
Linux0% → 4%
Time Series0% → 4%
Falling
Reinforcement Learning31% → 4%
MATLAB31% → 16%
Git15% → 2%
GitHub15% → 3%
Julia15% → 7%

How modern is the Technical University of Denmark stack?

Modern AI adopter 73/100

Technical University of Denmark scores 73 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 2; legacy ones: 0.

How common is the Technical University of Denmark stack in its industry?

Share of the 2,067 companies in the same industries, whose stack Alion knows, that use each technology.

Python42%
MATLAB13%
Julia3%
PyTorch11%
C++16%
GitHub11%
Linux25%
Fortran3%
LocalAI0%
Ray3%

What sets Technical University of Denmark apart

Julia3%
Fortran3%
LocalAI0%
Ray3%

Questions about the Technical University of Denmark tech stack

What programming languages does Technical University of Denmark use?

The languages named in Technical University of Denmark job postings are Python (52%), MATLAB (17%), Julia (8%), C++ (4%), Fortran (3%), as a share of the 147 postings of the last 12 months.

Does Technical University of Denmark use PyTorch?

Yes. PyTorch is named in 7 of 147 job postings (5%) and required in 6 of them.

What cloud and platforms does Technical University of Denmark use?

The cloud and platforms named in Technical University of Denmark job postings are Linux (6), GitHub (6), LocalAI (4) (postings in brackets).

What skills do you need for a Early Careers job at Technical University of Denmark?

Early Careers postings at Technical University of Denmark most often require Python (46), Julia (9), MATLAB (9), PyTorch (6), out of 81 postings in the last 12 months.

Is the Technical University of Denmark tech stack changing?

Yes. Mass Spectrometry, arXiv first appeared in Technical University of Denmark job postings in the last six months.

How modern is the Technical University of Denmark tech stack?

Technical University of Denmark scores 73 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 2; legacy ones: 0.

How does Alion know the Technical University of Denmark tech stack?

Alion reads every job posting Technical University of Denmark publishes and tags the technologies each one names. The figures on this page count the 147 postings of the last 12 months and were updated on Nov 14, 2026.

Method and citation

Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count

Alion, "Technical University of Denmark tech stack: 61 technologies from 147 job postings", as of Nov 14, 2026. https://alion.io/company/dtudata/technologies

Licence: CC BY-SA 4.0JSON