Researcher/Lecturer Computer Vision & Data Science
Would you like to make a thorough contribution to the quality of education in Artificial Intelligence and to the social mission of higher professional education in the Northern Netherlands? Are you the link between education and the professional field?
As a passionate and experienced Computer Vision & Data Science expert, NHL Stenden offers you a unique opportunity: you can share your knowledge and expertise with committed and equally passionate students and work with them on practice-oriented research. With a treasure chest of facilities - from your own, high-performance computing cluster to one of the finest industrial camera collections in the Netherlands - you help companies innovate with applied academic knowledge. These facilities, combined with the knowledge in the fields of deep learning and computer vision, makes of our professorship an environment full of exciting opportunities.
For the professorship Computer Vision & Data Science, NHL Stenden University of Applied Sciences is looking for a
Researcher/Lecturer Computer Vision & Data Science
0,5 – 1,0 fte
Who are we looking for
We are looking for a content specialist who is eager to share his or her knowledge with the new generation. Would you like to join our team as a Computer Vision & Data Science Researcher/lecturer?
Where will you be working
As a researcher/lecturer, you will work at the Computer Vision & Data Science professorship. The research group consists of 7 FTEs including , professor Jaap van de Loosdrecht and associate professor Klaas Dijkstra.
What will you be doing
As a Computer Vision & Data Science Researcher/lecturer, you are an important link between our clients and our students. You make sure that students are prepared to strengthen the business world as innovative professionals. You act as a sounding board and you passionately involve the students with your knowledge and skills from practice. At the same time, you will work with the students on various real-life projects in the following areas: computer vision, data science, deep learning, machine learning and hyperspectral imaging. One of our successful projects was commissioned by an agency investigating innovations in healthcare: ‘Seam leakage’ after surgery is a worrisome problem. In the project, our lectorate looked for a measuring instrument that maps the quality of the tissue of the intestinal wall. Using the measuring instrument, the micro(blood) circulation of the tissue is made visible and this enables the operating surgeon to make a better decision with the ultimate goal of less 'seam leakage' after surgery. This means less intensive care and faster recovery for the patient.
What can you expect to do during a working day
It's Monday morning. You start the working week with your colleagues in a SCRUM meeting. You will discuss problems and challenges, but you will also reflect on the successes of last week. After the meeting, you have an appointment with a potential client. Afterwards, you start working on a quotation immediately. In the afternoon, you work from the mechanical recycling lab with three of your students and the Circular Plastics professorship on the project for a local waste separation company. You are performing a plastic analysis with hyperspectral cameras. The goal? Even better recycling. Yesterday, you read a scientific article about a method that might work well on this data, and you implement this method and test it together with your students that same afternoon. Over the course of this week, you will have a progress meeting with your client in which you discuss with them the latest results and future steps. You regularly visit the client on location, but they also come to you regularly, like today. A wonderful opportunity to show what you have to offer. Your working day is almost over when you receive an e-mail with an agreement to your quotation. A new project can be set up. You will get started on this first thing tomorrow. You're looking forward to your next day at work.
Why will you be doing this
Because you're passionate about your field. You want to keep learning and researching and share that knowledge with our students, so that you can contribute to the quality of our education. We are working on the development of the HBO (higher vocational education) master Computer Vision & Data Science. You contribute as part of the development team, and in this role, you help develop solid teaching materials and related things. This, in combination with coaching students and working on technological innovations in practice, makes this job so special and versatile. You become eager to see our wealth of industrial inspection cameras; from UV, VIS, NIR, SWIR and LWIR to hyperspectral. For the analysis of Big Data, we have our own high-performance computing cluster with an ever increasing amount of GPU computing power for solving the challenging computational tasks involved in this type of research.
- You have a master’s degree or PhD in the field of Computer Vision, Data Science or similar;
- You have demonstrable work experience in the world of Computer Vision, Data Science and Deep Learning;
- You have an excellent command of the English language both orally and in writing.
These characteristics suit you
You have the constant urge to discover the latest techniques in our field. You have communication skills, you know how to speak to your clients correctly and clearly and you are able to communicate your knowledge to your students in an enthusiastic way. You maintain a good overview of the different projects. You know how to set the right priorities and you act decisively. You are not afraid to take
responsibility. You think in solutions. Sometimes they are simple, sometimes they are innovative. And you always put the client's wishes first.
Does a portion of the above characteristics apply to you? Then you are the Computer Vision & Data Science Researcher/lecturer we need!
As a Computer Vision & Data Science Researcher/lecturer, you have all the space, possibilities and freedom you need to further develop yourself. We invest in your development and facilitate you in obtaining the initial qualification Didactic Competence, if you do not already have it. We offer you a workplace with sociable and inspiring colleagues. Do you want to go on vacation for four weeks this summer? You can! You have more than 50 holidays with full-time employment. A good gross salary of up to € 5.717,25 per month with full-time employment (scale 12, Collective Labour Agreement for higher education), 8% Vacation allowance and 8.3% Year-end bonus. Pension scheme through the ABP. A travel allowance. Possibility for paid parental leave. Possibility of free sports at our neighbours. You can also use one of our sparkling lunch cafes.
About NHL Stenden University of Applied Sciences
Things happen by doing them. That is what we at NHL Stenden believe. We give our students the opportunity to develop their talents optimally. In a modern research environment, they themselves give direction to their studies and professional growth. We have strong ties with companies and institutions in the region, but also across the border. As an international multi-campus university of applied sciences, we encourage our students to look beyond their own field of study to develop new knowledge and participate in innovative projects. We create a meeting place where flows of knowledge and cultures come together and where new connections with the work field are created. In an ambitious way, NHL Stenden provides knowledge that works!
Just a few reasons to want to work with us. Your colleagues have the same passion, and that makes for very pleasant work. We have a treasure chest of facilities; you will be supported with the best equipment. You work on several projects at the same time. This provides a lot of variety, so no two days are the same. You have freedom in choosing your projects. You give substance to this position yourself. So you do it your way. Are you interested in doctoral research? Great! We only encourage this. The position of Computer Vision & Data Science Researcher/lecturer is a wonderful combination of theory and practice.
Do you recognise yourself in the profile? Are you the ideal candidate who fits the above profile? Then hesitate no longer and apply immediately.
Then send your motivation and CV for the attention of Jaap van de Loosdrecht to firstname.lastname@example.org, mentioning in the subject the vacancy number 2566 ATI.
You have until 7 February to apply. In view of the corona measures to combat COVID-19, the interviews will take place through Microsoft Teams.
This vacancy will be open internally and externally at the same time. In case of equal suitability, preference will be given to an internal candidate.
If you would like to find out more about this job, please do not hesitate to contact Jaap van de Loosdrecht, professor of applied science Computer Vision & Data Science, telephone number +31 (0)6 139 492 07.
Acquisition as a result of this vacancy is not appreciated