Om tjänsten
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 2027 are:
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 and automotive industry. 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
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!