7 / 11
7 / 11

Specializing in deep learning and computer vision.

Qualcomm Research Netherlands was founded in September 2014 based on the acquisition of EUVision, a spinout from the University of Amsterdam (UvA). Our focus areas include cognitive technologies such as deep learning, computer vision, and always-on sensing, which will enable devices to perceive, reason, and act intuitively. We push these capabilities beyond smartphones to power other objects and things, including virtual reality, automobiles, healthcare, servers, and IP cameras. We collaborate closely with the Qualcomm Research headquarter in San Diego and several other locations worldwide. An example of our success in deep learning are the results of our participation at ImageNet competition.

Qualcomm Research Netherlands organizes the QINF Europe program, an annual fellowship competition for PhD students attending some of the best universities in Europe. More information here.  We also sponsor a public lecture series focused on machine learning and related topics.

Qualcomm Research Netherlands supports and collaborates with QUVA, a joint lab with the University of Amsterdam leveraging machine learning for scene detection, object localization, and activity analysis in image and video. Other relevant topics include machine learning focused on generative models, distributed deep learning, and hyper-parameter optimization.

We are actively recruiting engineers with an interest and background in the areas of deep learning, recurrent neural networks, computer vision, and software engineering. To learn more about our group and current opportunities please check out the section below or visit and search for “Amsterdam”.

Qualcomm Research is a division of Qualcomm Technologies, Inc.


Qualcomm-UvA Deep Vision Seminars


The series aims to provide technical talks given by highly recognized speakers in the broad field of deep learning. Speakers report on recent results or provide an overview on a specific topic. There will be 6-8 speakers per year.

If you missed a lecture or wish to be notified about upcoming presentations: