We are looking for summer interns and academic collaboration!

Mohn Technology is expanding our investment in self-developed underwater products for fisheries, aquaculture and research purposes. Our office is located at Laksevåg, Bergen, with a good view of the city and the city mountains. Proximity to the sea and a good workshop enable us to create or modify prototypes, as well as test equipment in the sea right outside our window.

The work will have a major focus on practical use of the subject, with hands-on work, testing and implementation. You will receive close follow-up from our engineers who have good experience with image processing, cybernetics and product development. At the same time, as part of a small company, you will be given a lot of responsibility and will have a steep learning curve.

We are currently looking for skilled students who are passionate about their work, to join our small but resourceful team in 2023. We would like to combine a summer job with a subsequent project and master’s thesis, and are also looking for graduates for a full-time position. For summer internships, fourth year masters students and second year bachelor students will be prioritised. Info about previous student relations can be found here!

Typical tasks

  • Develop control algorithms for ROV/AUV
  • Use of mono/stereo camera to control/navigate ROV/AUV
  • Use of a stereo camera for object recognition and estimation of sizes
  • Use deep learning and develop/train an algorithm for recognizing certain objects
  • Develop an intuitive GUI for underwater drones, for both image analysis and control.
  • Frontend development with close customer contact

Learning outcome for the student (when writing a master’s thesis)

  • Development of modern camera and image technology that is relevant to business
  • Experience with control systems for underwater robots (ROV/AUV)
  • Practical experience with the development of products where camera systems interact with mechatronics
  • Gain experience with the development and practical use of deep learning, especially in image segmentation
  • Experience with testing prototypes

Our wish list:

  • Experience with and interest in machine vision and relevant libraries
  • Experience with or interest in Deep learning and CNN.
  • Experience with or interest in Javascript (Vue.js)
  • C/C++ / Golang / Python
  • Practical and interested in working closely with prototypes
  • Interest in or experience with ROS (Robot Operating System)

Contact magnus (at) mohntechnology.no!