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"Soon after graduating, I was able to start working as a computer vision engineer in a company that develops equipment for the medical sector. We make machines that package medicines based on prescriptions, and inspection equipment that checks that the right medicines end up in the right bags. I use a lot of what I learned during my studies every day at work, and I do a lot of research into new deep learning techniques. My job is to implement and optimise computer vision algorithms. It's important that this work is flawless, because you don't want someone to get the wrong pill."
My Master's thesis was nominated for the LC Awards.
Among the first to join
It is no coincidence that I ended up on this Masters course. I finished my previous degree, Chemical Engineering, at the Computer Vision & Data Science Professorship. Soon after, the plans for this programme came up and I was involved in its creation. So it is still quite new; I was among the first batch of students. When the master started, I immediately decided to join it myself. The field of computer vision and deep learning is developing rapidly, so I thought it was important to go in depth right away.
Soon after graduating, I was able to start working as a computer vision engineer.
Design Based Education
Having been involved in the external assessment of the Masters, I knew exactly how you would learn here: with Design Based Education, where you work on projects for real clients so you can apply the knowledge immediately. It is an educational process where you are given the freedom to develop and learn to think outside the box. You will work with passionate lecturers who enjoy sharing their knowledge with you and want to make the most of your research. You are given a lot of responsibility and the lecturers keep an eye on whether things are going well. Having experienced this myself, I am impressed with this method of learning.
You really feel that you are becoming a professional.
Nominated for the LC Awards
One of my master projects has been nominated for the LC Awards. For the city of Utrecht, I researched how they could gain insight into the safety of cyclists in an automated way, by having camera images of cyclists automatically analysed. So you are already contributing to current issues during your studies. As a student, you may have had the experience of doing a course mainly for the ECs, but that is not the case here: you really notice that you are developing into a professional. You can be sure that after this year you will be an expert in Computer Vision & Data Science.