At Univrses we develop computer vision and machine learning technology for self-driving vehicles, mobile robotics, and smart cities.

Our product 3DAI™ revolutionizes urban and highway road management by providing timely, actionable insights about road conditions through AI powered live maps. As a result it empowers road transport authorities and related stakeholders to make data-driven decisions, streamline operations, and enhance safety across road networks with up-to-date information of all assets.

Our team consists of hard-working and friendly people from all over the world with diverse backgrounds and expert knowledge in computer vision, robotics, machine learning, physics, math, software development and more. We develop cutting edge technology, in part by pursuing and developing research related to various topics such as supervised and unsupervised image segmentation, depth estimation, and multi modal position localization.

We are now looking for Masters students with an interest in deep learning and computer vision to join Univrses in Stockholm!

The topics of interest for Spring semester 2025 are:

• Dense feature extraction for self-supervised segmentation
• One-shot and zero-shot object detection
• Cross domain image retrieval for visual odometry
• Multiview 2D to 3D reconstruction in the wild with Dust3r/Must3r
• Camera parameterizations for visual localization with Deep Learning

Your role

As a masters thesis intern you would meet regularly with your mentor to formulate and discuss your research project ideas, goals and experiments. You would do a literature review, design and code experiments, and develop novel technology. You would be expected to provide regular updates on your progress and thesis writing in order to get timely feedback and advice from your mentor.

Who you are

You are interested in developing novel technology for smart cites. You are curious about research methods, enjoy prototyping proofs of concept, and have a good sense of how to design and implement experiments. You have knowledge and are curious to learn more of computer vision, machine learning, projective geometry, and linear algebra. You are self-driven, and can communicate well in English.

What we offer

• Bright and spacious facilities in the heart of Södermalm, Stockholm
• Open and friendly work environment
• The best co-workers in the world – from all over the world!
• Generous employee benefits, such as:
  • Flexible work hours
  • 5 000 SEK/year in wellness grant
  • Pension plan

• Weekly Lunch and Learns
• Possibility to work from home

Next step

Interested in joining Univrses as our new Masters Thesis Intern? Submit your CV and a cover letter indicating the thesis topic you are interested in, and how it fits your background. All application material must be in English. Looking forward to hearing from you!