Academic Internship - Novel approach for road landmarks tracking

<h3>Company Description</h3><p>At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.</p><p>The company' success lies in its highly specialized and innovative team, and on the technological know-how which makes Bosch the leading supplier in the automotive market.</p><p>Bosch is becoming one of the world's leading companies in the field of the Internet of Things (IoT). At the Bosch Research &amp; Development Center in Braga, more than 350 engineers develop car multimedia solutions and the most innovative localization, perception and safety sensors that are helping to shape connected and autonomous mobility. From hardware to software to physics, we have all kinds of opportunities waiting for you.</p><h3>Job Description</h3><p>Road landmarks (dashed lines, straight lines, zebra walks, exit drops) are a very important type of objects in the autonomous driving environment. Those kind of objects provide relevant information about the location on the vehicle on the road as well as possible driving zones.</p><p>The detection of this landmarks are a important step in the any perception layer of any Autonomous Driving SW, although it is not enough to the hard task at hand.</p><p><strong>Your contribution to something big:</strong></p><ul><li>Investigate state of art algorithms in tracking this kind of objects;</li><li>Develop a multi model tracking algorithm that enables the tracking  of different type of road landmarks;</li><li>Benchmark the existing approach against state of the art approaches.</li></ul><h3>Qualifications</h3><p><strong>What distinguishes you:</strong> </p><ul><li>Enrolled in a Masters program in Computer Science, Robotics, Physics, or a similar technical field of study;</li><li>Solid C++ and/or Python programming skills;</li><li>Experience in at least one of the following domains: machine learning, robotics, computer vision, LiDAR, Radar;</li><li>Familiarity with deep learning frameworks (e.g. Tensorflow/PyTorch) is a plus;</li><li>Good level of English (spoken and written);</li><li>Sense of Team Work.</li></ul><h3>Additional Information</h3><p><strong>What we offer you: </strong></p><p>Challenges in an international environment | career opportunities in one of the best companies in the world | flexible hours | medical services | discounts for employees | sports and health related activities | canteen | good access to public transports | space for creativity.</p><p><strong>Success stories don´t just happen. They are made... </strong></p><p><strong>Make it happen. We are looking forward to your application!</strong></p>