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Industrial PHD

Milestone Systems



Milestone Systems, in collaboration with DTU (Technical University of Denmark) is looking for a talented Industrial PhD candidate!
Are you eager to join the global industry leader in video management software and video analytics?
Are you an enthusiastic researcher and a results-oriented candidate wishing to acquire experience in a rapidly growing sector?

Roles and responsibilities

The Industrial PhD student will conduct cutting-edge applied research at the intersection of computer vision, multimodal AI, and video management systems (VMS). The role bridges academic research excellence with real-world industrial deployment.

Key responsibilities include:

  • Work with context-aware vision–language models
  • Develop methods for decision confidence estimation and explainable AI in security operations
  • Implement and validate prototypes within Milestone XProtect and real security environments
  • Conduct experiments on public benchmarks and proprietary datasets
  • Publish results in top-tier conferences and journals
  • Participate in knowledge transfer activities with product, and end-users

What we are looking for :

Technical & Academic skills

  • MSc in in computer vision, machine learning, or related topics
  • Experience with deep learning, multimodal models, or representation learning
  • Proficiency in Python and modern ML frameworks (PyTorch preferred)
  • Familiarity with large-scale datasets and experimental evaluation
  • Interest in human-AI interaction, explainability, or trustworthy AI

Research & Professional skills

  • Strong background in computer vision and machine learning
  • Experience with deep learning, multimodal models, or representation learning
  • Proficiency in Python and modern ML frameworks (PyTorch preferred)
  • Familiarity with large-scale datasets and experimental evaluation
  • Interest in human-AI interaction, explainability, or trustworthy AI (desired)

Personal skills

  • You are passionate about technology and want to learn more about a product that is a key player in its field and is shaping the future of its industry.
  • You are willing to work in a dynamic environment where experimentation and learning are required as part of building and developing a product.
  • You are a team player who values integrity and honesty in communication.

Your Team
The Research team in Emerging AI is responsible for, among others, developing machine learning algorithms for promising products and/or ideas with impact across different products of Milestone’s portfolio.
We are a group of research scientists (at different levels of seniority) that work closely with our Products to develop cutting edge solutions also in collaboration with different universities, by supporting under/postgraduate students, PhD students, and Postdocs.

You will be part of a multi-cultural team within a multinational company with strong Nordic values.

Besides work experience and knowledge gain, you will make new friendships across borders, build up your network, and benefit your future career.

Interested? Apply now!
You will experience an inclusive and unbiased recruitment process where all employment decisions are based on qualifications. We advise you not to attach a cover letter to your application but instead, we encourage you to write a few lines about why you are applying for the position in your resume/CV. Are you excited about this opportunity then we encourage you to apply as soon as possible.

We will take candidates into the recruitment process continuously and the position will remain open until a suitable candidate has been found.

If you have any questions related to the position, please contact Kamal Nasrollahi on +45 3116 1664. You can also find out more about Milestone Systems at Facebook, LinkedIn or Twitter or visit our website: www.milestonesys.com

Location
Copenhagen, Denmark

Apply Before
2026-02-08T22:59:00+00:00

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Milestone Systems

Hovedkontor: Banemarksvej 50, 2605 Brøndby

We provide actionable insights from video data through the perfect combination of your cameras and sensors and our open platform software and analytics – always with a responsible mindset and a people-first approach.

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