At SICK we create complex machine vision devices that include user interfaces for device connection, configuration, parametrization, and visualization of 2D & 3D data, where the Nova user interface is a configurable GUI specifically created for entry level machine vision users.
Although many of our cameras share a lot of similar features and designs, they do have some different characteristics, besides 2D vs 3D, which has too often resulted in different implementations and designs of similar features across different devices.
The task is to research from a UX perspective the current solutions on offer, using reviews and user testing, see where they are alike or differ and quantify the results. Also identify usability improvements and present them with a design, wireframe, or prototype.
The master thesis work focuses on the following/example of research questions
- How well are we in sync with our user interfaces and customer journeys across different products?
- Can we identify and improve on some areas regarding usability, interaction, or design in Nova?
- Can we improve in our way of working to include more agile UX principles and concepts?
Prerequisites
This thesis requires some knowledge with UX Design and principles, also beneficial, but not required, to have some experience with interaction design and prototyping (depending on choice of prototype output).
Contact
For more information about the position, contact:
Haraldur Örn Haraldsson, 3D Snapshot Vision, +46 13 36 21 65
or
Charlotte Axelsson, HR Manager, +46 739 20 99 50.
Welcome with your application 15th of October at the latest! We make ongoing selections and offer our thesis opportunity as soon as we have found the right person.
If you would like to write your thesis in a pair, please provide us with one application where you attach both your CVs and extracts of study results and one mutual cover letter.
SICK is a world-leading supplier of sensors and sensor solutions for industrial applications. We are 11 000 employees in 50 countries and our headquarter is located in Freiburg, Germany. SICK in Linköping is an innovation center for Machine Vision and we are 80 committed employees with a big interest in image processing and visualization. For more than 35 years, our team at SICK Linköping has successfully developed and delivered software for technically leading products within the field of 2D and 3D vision, as well as system solutions for i.e. robot guidance and quality control.
At SICK in Linköping, we are very proud of being a healthy and attractive workplace. For many years, we have been elected as one of the best workplaces in Sweden according to the survey Great Place to Work, the latest award is from 2023. We work actively to reduce our climate footprint and we are active in various ways to contribute to the society and to increase diversity at our workplace.
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We are the People and Culture team at SICK Linköping. We can answer all your question on recruitment, life at SICK Linköping, student opportunities or and much more.
Charlotte Axelsson
charlotte.axelsson@sick.se
+46 739 20 99 50
Sarah Lantz
sarah.lantz@sick.se
+46 739 10 99 37
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