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<div>Dear colleagues,</div>
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<div>We have several opening positions in Neuromorphic Computer Vision starting from March 2024 at i3S lab, Sophia Antipolis, Université Côte d’Azur in France. We are hiring an internship student for 4-6 months from around March 2024 (flexible), a PhD for 36
months from around October 2024 (flexible), and a postdoc for 18 months from around October 2024 (flexible). There is an opportunity for the intern to continue with the PhD. These multiple proposals take place in the context of an international collaborative
project co-funded by the French ANR and the Swiss NSF. The project NAMED (Neuromorphic Attention Models for Event Data) that will start on February 1st, 2024.</div>
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<div>Project summary: The humain perception of a complex visual scene requires a cognitive process of visual attention to sequentialy direct the gaze towards a visual region of interest to acquire relevant information selectively through foveal vision, that
allows maximal acuity and contrast sensitivity in a small region around the gaze position — whereas peripheral vision allows for a large field of view, albeit with lower resolution, contrast sensitivity. This cognitive process mixes bottom-up attention driven
by saliency and top-down attention drivent by the demands of the task (recognition, counting, tracking, etc.) While numerous work have investigated visual attention in standard RGB images, it has barely been exploited for the recently developed event sensors
(DVS). Inspired by human perception, the interdisciplinary NAMED project aims at designing neuromorphic event-based vision systems for embedded platforms such as autonomous vehicles and robots. A first stage will investigate and develop new bottom-up and top-down
visual attention models for event sensors, in order to focus processing on relevant parts of the scene. This stage will require to understand what drives attention in event data. A second stage will design and implement a hybrid digital- neuromorphic attentive
system for ultra-fast, low-latency, and energy-efficient embedded vision. This stage will require to set up a dual vision system (foveal RGB sensor and parafoveal DVS), to design Spiking and Deep Neural Networks, and to exploit a novel system-on-chip developed
at ETH Zürich. A last stage will validate and demonstrate the results by applying the robotic operational platform to real-life dynamic scenarios such as autonomous vehicle navigation, ultra-fast object avoidance and target tracking.</div>
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<div>Candidates must hold a degree in Computer Science, Computer Engineering, Applied Mathematics or a related field. Experience in image processing, computer vision, or machine learning is a plus. In addition, candidates should have the following skills: good
proficiency in spoken and written English, scientific writing, and programming in Python.</div>
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<div>Application period from December 2023 to the offer starting date. Please send an email with subject [NAMED project application], include CV, cover letter, all available Master grades and ranking, Master thesis if available, any recommendation letter and
supporting document). Video interviews will take place as applications arise.</div>
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<div>Université Côte d'Azur is a major research-intensive university in the south east of France, that is both rooted in its territory and internationally oriented. Université Côte d'Azur directly employs around 3,000 staff and welcomes over 30,000 students
each year. The i3S laboratory is the largest information and communication science laboratory in the French Riviera. It is composed of nearly 300 people with approximately 100 professors or associate professors, 20 CNRS researchers and 13 INRIA researchers,
along with 20 technical and administrative staff.</div>
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<div>More information <a href="https://www.linkedin.com/posts/jean-martinet-5742b83_jobs-description-for-project-named-activity-7140088064911077376-5v_6?utm_source=share&utm_medium=member_desktop">here</a>.</div>
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<div>With kind regards,</div>
<div>Jean-</div>
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<b><font color="#236c98"><br class="Apple-interchange-newline">
Prof. Jean Martinet</font></b></div>
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<span style="font-weight: normal;">Université Côte d'Azur / i3s / CNRS<span class="Apple-converted-space"> </span></span><b>|</b><span class="Apple-converted-space"> </span>Polytech Nice Sophia</div>
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Campus SophiaTech, Sophia Antipolis</div>
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<a href="http://unice.fr/polytechnice/fr/formation/masters/Master%20School%20EIT%20Digital#.Xqiygi97HOQ">EIT Digital Master School</a>, Data Science</div>
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<a href="https://polytech.univ-cotedazur.fr/formations/alternance">Apprenticeship</a> at Polytech Nice Sophia</div>
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<a href="https://www.chistera.eu/projects/aprovis3d">APROVIS3D</a> CHIST-ERA ERA-NET</div>
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<a href="https://ds4h.univ-cotedazur.eu/research-and-labs/forum-numerica-seminar-series">Forum Numerica</a> seminar series</div>
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<a href="mailto:jean.martinet@univ-cotedazur.fr">jean.martinet@univ-cotedazur.fr</a></div>
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<a href="http://i3s.unice.fr/jmartinet">i3s.unice.fr/jmartinet</a></div>
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