- Careers

Careers

Working at VicarVision

VicarVision is a computer vision R&D company with about 15 employees. We are an international team working mainly in English in an informal, collegial atmosphere. We come from many backgrounds, allowing us to appeal to both industry and academia. Working at VicarVision will boost your skillset and expand your career opportunities while enjoying an easy-going and relaxed atmosphere in a stable and recognized company.

Job vacancies

Currently there are no specific job vacancies at VicarVision. Open letters are always accepted and read carefully.

Current internship vacancies

Currently there are no specific internship vacancies at VicarVision. Open letters are always accepted and read carefully. For inspiration, see the list below.

Internships

At VicarVision we are always looking for motivated and creative students with knowledge of and/or practical experience with computer vision, image processing or machine learning for a paid internship. Experience with C# or C++ is considered a plus.

If you are interested or would like to have more information, contact us at:

info@vicarvision.nl

Past Internships

A selection of past internships at VicarVision:

Year	Intern	Topic	University
2024	Charlotte Dasselaar	Emotionally Aware AI-based Conversation Robot for Older Adults	University of Amsterdam
2023	Sam Eijpe	The best non-profit advertisement strategy & predictors for donating behavior	University of Amsterdam
2023	Rhea Groenenberg	Human-Robot Interaction becomes more Intuitive by measures of Emotion and Attention	University of Amsterdam
2022	Lisa van Ommen	Social Robots for Elderly	Amsterdam University of Applied Sciences
2022	Simone Colombo	Detection of Blood Oxygen Saturation from Video	VU University Amsterdam
2022	Julian Derks	Camera-based Respiration Rate Monitoring	VU University Amsterdam
2021	Jasper de Winther	Heatmaps. Analyzing and Visualizing People’s Walking Behavior in Retail Settings	University of Applied Sciences Utrecht
2021	Jamie Faber	Comparing a Webcam Based and Professional Eye-Tracker by Evaluating the Effectiveness of Ad Banner Placements	University of Amsterdam
2020	Tim Rietveld	The Effect of Temporal Supervision on the Prediction of Self-Reported Emotion from Behavioural Features	TU Delft
2020	Kevin Waller	Emotion Recognition from Speech	University of Amsterdam
2020	Joshua Touati	A Deep Learning Approach to Face Image Quality Assessment	VU University
2020	Lisanne Talen	FaceReader Online as a Tool for Measuring Website Design and Task Complexity	University of Amsterdam
2020	Bas van Buitenen	Exploring the Role of Online Facial Expression Analysis in UX-research: The Initial Impression	Utrecht University
2019	Xin Li	Practical Approaches towards Complete Real-time Gaze Tracking	Delft University of Technology
2019	Zoe Gerolemou	Automated Personality Prediction from Face Videos	Maastricht University
2019	Hannah Burnau	Personality Insights from Facial Expressions	Purdue University
2018	Lysbeth Leon	Marketing Strategy Formation of FaceReader Online	Kozminski University
2017	Eileen Miller	Validation of Baby FaceReader	Purdue University
2016	Sindi Shkodrani	Automated Recognition of Temporal Affective Attitudes	University of Amsterdam
2016	Agne Grinciunaite	Human Pose Estimation in Space and Time Using 3D CNN	Vilnius Gediminas Technical University
2016	Nicolai van Rosmalen	Positive Class Localization Map – A framework for weakly supervised object localization	Delft University of Technology
2016	Marian Bittner	A prototype for emotion recognition through vibrotactile feedback	Universiteit Twente
2015	Nicolai van Rosmalen	Empathic face tracking and recognition	Delft University of Technology
2014	Jan Willem Deen	GPU Implementation for a Real-Time Appearance-Based Object Tracker	VU University Amsterdam
2014	Marios Tzakris	A Holistic approach for Photo-realistic Facial Expression Synthesis based on Neural Networks	University of Amsterdam
2014	Amogh Gudi	Recognizing Semantic Features in Faces using Deep Learning	University of Amsterdam
2014	Natalia Papadopoulou	Buddy – Designing Artificial Companionship For the Future Elderly	Delft University of Technology
2014	Chanika Mascini	Technology for the Elderly: Evaluation and Acceptation	Utrecht University of Applied Sciences
2013	Karolina Czarna	Emotion Regulation in Consumer Behavior	University of Warsaw
2013	Crystal Butler	FaceReader-driven Expressive 3D Avatar	New York University, U.S.
2013	Mariska Snijdewind	Emotions, Facial Expressions & Advertising Research	Tilburg University
2012	Koen Pasman	Classifying Moods Using Summarized Fragments	VU University Amsterdam
2012	Bas Kooiker	Experimental Study on Arm Part Detection for Pose Estimation	Radboud University Nijmegen
2011	Tianhua Piao	A Generic Platform for Distributed Computation	Chalmers University of Technology
2010	Vincent van Megen	3D Pose Tracking Using Optical Flow	Radboud University Nijmegen
2009	Marloes van Eijk	Automatic Recognition of Facial Action Units	Maastricht University
2008	Floris Berendsen	Foreground Segmentation of ROV Camera Data	University of Twente
2008	Yut Kun Ng	An Asian Face Model for the FaceReader	Leiden University
2008	Tim den Uyl	A Children’s Model for the FaceReader	Utrecht University
2007	Paul Ivan	Active Appearance Models for Gaze Estimation	VU University Amsterdam
2007	Daan de Bock	Training Set Design in Face Modeling Tasks	Utrecht University
2006	Imo Lieberwerth	Two Timeslice Based Optical Flow Algorithms	Utrecht University
2006	Marjolijn Elsinga	A Topological Neural Network	Utrecht University
2006	Desmond van der Meer & Lauwerens Metz	AIVOS and Human Pose Estimation	Delft University of Technology
2005	Hans van Kuilenburg	Expressions Exposed: Model Based Methods for Automatic Analysis of Face Images	Utrecht University
2003	Jetske van der Schaar	Automatic Pattern Induction: An Unsupervised Generic Method for Extracting Distinctive Patterns from an Image Content Class	Radboud University Nijmegen