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internships [2025/09/10 16:40] respai-vicinternships [2026/05/26 15:23] (current) – external edit 127.0.0.1
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 =============== Internship proposals 2025-2026 =============================================== =============== Internship proposals 2025-2026 ===============================================
 +**<color #e32d2d> - Research internship at Inria specifically sent for AI-ViC/ViCAI students </color>**
  
-**<color #e32d2d> Visual Recognition Group (CTU), VISTA (École Polytechnique), Imagine (École des Ponts) </color>**+* Location: Inria Sophia Antipolis 
 +  * Contact: Guillaume Cordonnier <Guillaume.Cordonnier@inria.fr> 
 +  * Topic 1: Stochastic Flow Paths for Fast Hazard Simulation [[https://drive.google.com/file/d/1GByd0GyQUR4mt6xwZOLK2-iasyjg4Xgk/view?usp=sharing|link to the proposal]] 
 +  * Topic 2: Modeling the present, past and future of real terrains from in-situ geological annotations [[https://drive.google.com/file/d/1BM3pGBJ32emQsSpejoF39aJ2HldhQDUQ/view?usp=sharing|link to the proposal]] (Could be extended to a Ph.D.) 
 + 
 +* Location: Inria Sophia Antipolis 
 +  * Duration: 6 months 
 +  * Contact: Adrien Bousseau <adrien.bousseau@inria.fr> 
 +  * Topic 1: Reusing decommissioned curved objects to create new surfaces[[https://www-sop.inria.fr/members/Adrien.Bousseau/stages/BladeReuse.pdf|link to the proposal]] 
 +  * Topic 2 (Master2 preferred): Layer-Based Garment Modeling for Textile Form Weaving [[https://www-sop.inria.fr/members/Adrien.Bousseau/stages/FormWeavingInternship.pdf|link to the proposal]] 
 + 
 + 
 + 
 +**<color #e32d2d> - Mistral AI  - Internship Master/PhD/CIFRE </color>** 
 +  
 +Become a part of a pioneering company shaping the future of AI! 
 + 
 +Background: currently doing a Master in IA/Data Science or PhD from tier 1 engineering schools/Universities. 
 +Totally Open for CIFRE Programs. High scientific understanding of the field of generative AI. 
 +Familiarity with natural language processing techniques and machine learning algorithms. 
 +Expert with Python/PyTorch. 
 + 
 +Location :  Paris/London/Palo Alto. 
 +Starting: ASAP. 
 + 
 +►About Mistral AI 
 + 
 +    Mistral AI is a pioneering French artificial intelligence startup founded in April 2023 by Arthur Mensch, Guillaume Lample and Timothée Lacroix. 
 +    United by their shared academic roots at École Polytechnique and experiences at Google DeepMind and Meta, they envisioned a different, audacious approach to artificial intelligence to challenge the opaque-box nature of ‘big AI’, and making this cutting-edge technology accessible to all. Mistral AI's comprehensive AI platform is designed to meet enterprise needs whether on-premices or in cloud environments. 
 +    Their offerings include le Chat, the AI assistant for life and work 
 +    Mistral AI raised a total of 1.7B€ in its latest founding round to accelerate technological progress with AI  
 + 
 +►Mistral AI is currently looking for: 
 + 
 +    Internship - Master/CIFRE - AI Scientist (Paris) : https://dl6s4.r.ah.d.sendibm5.com/mk/cl/f/sh/1t6Af4OiGsHKgS5a7ZOW8ARczjo5hP/pYTQ9O6mnj4o 
 +    Internship - Master/PhD - CIFRE Applied AI, Forward Deployed Machine Learning Engineer (Paris): https://dl6s4.r.ah.d.sendibm5.com/mk/cl/f/sh/1t6Af4OiGsHn1AI0VvURIQVSNYmpPT/CqzqLruR9EZx 
 +    Internship - Master/PhD Applied Scientist/Research Engineer (Paris/London) : https://dl6s4.r.ah.d.sendibm5.com/mk/cl/f/sh/7nVU1aA2nfsZpYruuryIkUExl0hk3yZ/RR7lNfNL8sOs 
 +     
 + 
 +**<color #e32d2d> Visual Recognition Group (CTU), VISTA (École Polytechnique), Imagine (École des Ponts) (M1 or M2) </color>**
   * Locations: Paris (France) or Prague (Czech Republic)   * Locations: Paris (France) or Prague (Czech Republic)
   * Duration: 4–6 months   * Duration: 4–6 months
-  * Requirements: any MSc levels and see each topic.+  * Requirements: any MSc levelssee each topic.
  
   * A Generative Approach to Global Visual Geolocation: The Use of Image Retrieval and Nearest Neighbors [[https://drive.google.com/file/d/1KyxT4qMfv9tD7PUUqCmNj_OEEVyku_RG/view?usp=sharing|link to the proposal]]   * A Generative Approach to Global Visual Geolocation: The Use of Image Retrieval and Nearest Neighbors [[https://drive.google.com/file/d/1KyxT4qMfv9tD7PUUqCmNj_OEEVyku_RG/view?usp=sharing|link to the proposal]]
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