In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.<br><br><b> About Thales </b><br><br>In the Netherlands, where more than 2200 employees are based, we are located in four cities: Huizen, Delft, Eindhoven and Hengelo (HQ). Together with an extensive ecosystem of knowledge partners, customers and suppliers, we work on radars for naval vessels, cyber security solutions, transportation systems, communication equipment for land forces, cryogenic cooling solutions and research & development for radar tech (in collaboration with TU Delft).<br><br>The assignment is done as part of the Electro-Optical (EO) team in the System Engineering department. The EO-team is responsible for analyzing customer requirements regarding EO-systems and translate these to product requirements and functions. In addition, the team is involved with the necessary R&D activities to meet these requirements.<br><br><b> About the assignment </b><br><br>In earlier projects we have researched some deep learning based approaches to real-time video data processing, in particular semantic segmentation, re-identification and classification. We now want to integrate this in a demonstrator application to explore and experiment with ways of integrating the deep learning based processing with our existing real-time video processing.<br><br>The assignment can be tailored depending on your field of study and interests, and thus it can be either more research-oriented or more implementation-oriented.<br><br>You have to think about how to integrate and combine deep learning based processing with our traditional processing algorithms and how to visualize the results together so it is understandable for human operators without technical knowledge of the used algorithms.<br><br>This assignment is also suitable for a team of two students.<br><br><b> Affinity </b><br><br>Software Engineering<br><br>Machine Learning<br><br>Machine Vision<br><br>Image Processing<br><br>GPU Computing (CUDA)<br><br><b> What's in it for you </b><br><ul><li>An interesting internship or graduation assignment within our high-tech, innovative work environment;</li><li>A comfortable, flexible work space in a modern environment;</li><li>An excellent internship allowance;</li><li>Its own student association where you can participate in educational and fun activities.</li></ul><br><br><b> Interested? </b><br><br>Apply now! Click on the button below to upload your CV and motivation!<br>Please keep in mind that we can only accept students who are enrolled at a school during the whole internship or graduation period.<br><br>At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!