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--- internships [2025/10/06 16:14] – [Internship proposals 2025-2026] respai-vic
+++ internships [2025/10/28 16:08] (current) – [Internship proposals 2025-2026] director-trai
@@ Line 1: / Line 1: @@
-==== General Requirements ====
+====== General requirements ======
-For first and second year, internship topics are to be validated by the academic co-directors of the MScT (Johannes Lutzeyer for the M1 and Xi Wang for the M2) by sending them an email mentioning the topic of the internship (with typically a half-page summary of the work to be done), the duration, the supervisor and the location of the internship. Once this is validated, please indicate Johannes (for M1 students) or Xi (for M2 students) as the "Enseignant référent" at Ecole Polytechnique on the official "convention de stage". During your internship defenses the 4 directors, including Aymeric Dieuleveut for M1 and Marie-Paule Cani for M2, will be involved as part of the jury.
+All internship topics (first and second year) must be validated by the directors. To do so, send an email to <dir.msct.trai@polytechnique.fr> mentioning the internship topic (including a half-page summary of the work to be done), duration, supervisor, and location. Once validated, please indicate Sonia Vanier (for M1 students) or Luiz Chamon (for M2 students) as the "//Enseignant référent//" (reference) at École polytechnique on the official "//convention de stage//" (internship contract). Note that all four directors of TRAI will be part of the jury during you internship defense.
-**First-year Internship**
+=== First-year (M1) internship ===
-Period: from the beginning of April to the end of August (at least 4 months)
+**Period:** from the beginning of April to the end of August (minimum: 4 months)\\
+**Defense:** First half of September
-Defense: First half of September
+The internship can be carried out either at a private company or at an academic lab. The research component of the internship is not mandatory, but strongly encouraged. Students are requested to choose a topic related to the curriculum of their graduate degree program, i.e., involving ML/AI or trustworthiness and reliability aspects, ideally both. The topic can be theoretical (understanding of a theoretical result and extension to a new setting), applied (development and implementation of a solution), or a mixture of both.
-An internship either in a private company or in a public lab. The research component of the internship is not mandatory but strongly encouraged. Students are requested to choose a topic related to the curriculum of their graduate degree program, i.e., involving either machine learning or visual computing, ideally both (see the first and second-year courses for details). This work can be theoretical (comprehension of a theorem and extension to a new setting), applied (developing and implementing a new solution), or a mix of theory and application.
+=== Second-year (M2) internship ===
-**Second-year Internship**
+**Period:** from the beginning of April to the end of September (minimum: 5 months)\\
+**Defense:** First half of September (the internship can continue after the defense)
-Period: from the beginning of April to the end of September (at least 5 months)
+A research internship carried out either in the R&D department of a company or in a public research lab. The student must produce original work related to ML/AI and their trustworthiness aspects, ideally involving different topics covered during the program. This work can be theoretical or applied so long as it contains novel ideas developed and validated by the student.
-Defense: First half of September (the internship can be continued after the defence)
-A research internship either in the R&D department of a company or in a public research lab. The student must produce original work related to machine learning and/or to visual computing, ideally involving several different topics studied during the whole curriculum. This work can be theoretical or applied as soon as it contains novel ideas developed and validated by the student.
+==== Guidelines for the report and examination ====
+After the internship, the student must hand-in a report ranging from 15 to 20 pages, figures and references included. It must containa general presentation of the topic and a description of the state-of-the-art in the field (theory and/or methods). The contributions of the student must be clearly identified and explained in details. There is no need for an exhaustive description of all codes produced during the internship, though algorithms highlighting the challenging tasks solved by the student should be presented and explained in the report (if need be, relevant parts of the code can be included as an appendix).
-**Guidelines for the Report and the Examination Framework**
+Below we provide more detailed, section-by-section guidelines:
-The report should be about 20 pages long, including figures and references. It must contain a general presentation of the topic and describe state-of-the-art methods in this field. The contributions of the student must be clearly identified and explained in details. There is no need for an exhaustive description of all codes produced during the internship. However, algorithms highlighting the challenging tasks solved by the student must be presented and explained in the report (if needed, relevant parts of the code can be included as well in an appendix). Below we provide some more detailed, section-by-section guidelines.
+  * **Introduction:** motivation (why is your problem important? why is it challenging?) and a clear description of your goals;
+  * **Related work:** description of relevant existing theory and methods used to solve the same or related problems as well as methods used to inspire your solution;
+  * **Proposed method** (one or several sections): technical details about your scientific contributions and the solution you developed;
+  * **Experimental results**: test and validation of the proposed method, including a discussion of pros and cons of your solution (this section may not be relevant for theory-heavy internships);
+  * **Conclusions:** what did you learn, ideas about future work...
+  * **References:** relevant bibliography (include the final version of the papers you used, i.e., always cite the journal/conference versions rather than the arXiv, if available.
-  * Introduction: motivation (why is your problem important, why is it challenging?), and a clear description of your goals;
+Oral examinations will consist of a 15 minute (sharp!) talk on the content of the report. It is followed by 10 minutes of questions from the jury.
-  * Related work: Description of relevant former methods to solve the same or related problem, or methods your inspired from;
-  * Proposed method (one or several sections): technical details about your scientific contributions and the solution your developed.
-  * Experimental results and their validation, including discussion of pros and cons of your solution
-  * Conclusions: What did you learn, ideas about future work...
-  * References - please cite the journal/conference where the papers were published, if applicable, not the Axiv ref.
-The oral examination will consist of a 15mn (sharp!) talk, on the same contents as the report. It will be followed by 10 minutes of questions and answers.
+==== Tips on how to find internships ====
-** 💡💡 Tips on how to find internships, provided directly by AI-ViC students, 2024-25 💡💡**
+**Kindly provided by [[https://msct.dix.polytechnique.fr/aivic/wiki/|AI-ViC]] students (2024-2025)**
-Thank you all for contributing to this useful feedback loop!
+  * **Start very very early**, beginning of October preferably
-  * **Start very very early**, beginning of October preferably
   * I handed out my CV at the fair and spoke for some time to the recruiter, and they contacted me later. Tips: Get as many details as you can about the company, projects and interview process at the fair, take notes, prepare accordingly and bring up the details you found interesting during the interviews.
   * Talk to as many people as you can (reduce uncertainty and put yourself on the map)
@@ Line 53: / Line 53: @@
 **<color #e32d2d> For M1 students: Access internship proposals from the Polytechnique engineering student page. </color>**
-If you would like to see more internship proposals in Visual Computing, preselected for their decent research components, please follow this procedure:
+If you would like to see more internship proposals preselected for their decent research components, please follow this procedure:
-  * Go there: https://stages.dix.polytechnique.fr/home
+  * Go to https://stages.dix.polytechnique.fr/home
-  * Register as student, with their email, and they can select the program "CSC_52994 - 2024" (Visual computing internships)
+  * Register as student, with your official email address, and select the program "CSC_52994 - 202X"
-  * Then, Damien Rohmer will be able to validate your registration.
+  * Damien Rohmer will validate your registration
   * Once validated, they can connect with:
     * login: your email address
     * password: 3AstudentDIX
-=============== Internship proposals 2025-2026 ===============================================
-**<color #e32d2d> - Research internship at Inria specifically sent for AI-ViC/ViCAI students </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)
-  * Duration: 4–6 months
-  * Requirements: any MSc levels, see 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]]
-  * Attacking Google Image Search [[https://drive.google.com/file/d/1D8nY4in7-OLF2V_nU3xL6MCP8SSbCroO/view?usp=sharing|link to the proposal]]
-  * Interpretable Image-to-Image Similarity with Deep Models [[https://drive.google.com/file/d/1h4qfvTEP7y3bEuaJE6aB9XMdLpMpQjC-/view?usp=sharing|link to the proposal]]
-  * Deep Ensembles for Image-to-Image Similarity with Local Descriptors [[https://drive.google.com/file/d/19sfeH6txFKURLjXawoYkijPrjcTyxYJk/view?usp=sharing|link to the proposal]]
-  * Training Visual Search Models for Conflicting Logo Identification via Personalized Generative Data [[https://drive.google.com/file/d/1zv06Jw4j9AdmK-X28eBuqgxBfptaimUw/view?usp=sharing|link to the proposal]]
-  * Open-Vocabulary Zero-Shot Co-Segmentation with Vision-Language Models [[https://drive.google.com/file/d/18mflqhnZFkbC2dx-NqGYAoZ2iCIEaT7e/view?usp=sharing|link to the proposal]]
-  * Exploring Memorization in Generative Models via Large-Scale Image Retrieval [[https://drive.google.com/file/d/18U-WhQFV7nfeAhD1NaMaBucgdEsh-yrC/view?usp=sharing|link to the proposal]]
-=============== Internship proposals 2024-2025 ===============================================
-**<color #e32d2d> CALYPSO project, Lille University (M2) </color>**
-Master internship in AI and Computer vision applied to neurosciences and phycological disorders: [[https://www.dropbox.com/scl/fi/gl8wot5zs5f6tthuf2a74/Offre-de-stage-M2-Projet-CALYPSO.pdf?rlkey=70bnmeq3ke0dcp87icx2ryz2x&dl=0|link to the proposal]]
-**<color #e32d2d> Thales & LIP6 Sorbonne Université (M2, possibility to pursue with a PhD.) </color>**
-Master internship in Data Visualization applied to Trustworthy AI of critical systems: [[https://julien-tierny.github.io/stuff/openPositions/internship2025b.pdf|link to the proposal]]
-**<color #e32d2d> LIP6 Sorbonne Université & CEA (M2, possibility to pursue with a PhD.) </color>**
-Master internship in Data Visualization: [[https://julien-tierny.github.io/stuff/openPositions/internship2025a.pdf|link to the proposal]]
-**<color #e32d2d> Ideactiv (M2, french speaker preferred, possibility to pursue with a PhD.) </color>**
-Master internships in Natural Language Processing applied to Culture.
-See the announcement here: [[https://www.dropbox.com/scl/fi/4ibiuw55iug9if0h952cq/ideactiv.-Stage-IA-ML-NLP.-Dec-24.pdf?rlkey=7a8p4nb096hjup7t1ptecjlk9&dl=0|link to the proposals]]
-**<color #e32d2d> LASTIG lab (M2) [[https://www.umr-lastig.fr/]] (M2) </color>** Master internship in the visualization of Urban multi-modal data from the GEOVIS team (Visualization, Interaction and Immersion) - Visual computing topic (no AI): [[ https://www.umr-lastig.fr/lastig_data/pdf/2025_stage_geovis_mobidec.pdf|link to the proposal]]
-**<color #e32d2d> GE Healthcare France (M1 or M2) </color>** [[https://www.dropbox.com/scl/fi/nanp05g50m1o1ugjo0iy6/OffresGeneriques_GE_HealthCare.pdf?rlkey=k8eyk6xa18516zbnh43g6hoqs&dl=0|link to the proposals]]
-  * Topics
-    *  Artificial Intelligence for health
-    *  Image processing and applied math
-  * Contact Vincent Jugnon <vincent.jugnon@gehealthcare.com>
-**<color #e32d2d> Dassault systems (M2 only) </color>** [[https://www.3ds.com/careers/jobs/stage-data-scientist-3d-generatif-junior-h-f-540544|link to the proposals]]
-  * Topics
-    * Generative AI applied to 3D prototyping
-  * Contact Nathan Pollet <Nathan.POLLET@3ds.com>
-**<color #e32d2d> Adobe - internships in computational photography in San Jose, USA </color>**
--------- Forwarded Message --------
-Subject: 	Summer 2025 internships in computational photography at Adobe
-Date: 	Fri, 8 Nov 2024 01:52:55 +0000
-From: 	Marc Levoy
-Colleagues,
-In my role as Vice President and Fellow at Adobe Inc, I am spearheading a company-wide technology initiative focused on computational photography and video.  Among other projects, we are building a camera app for smartphones with world-class image quality and magical super-powers, and we are developing computational and learning-based technologies that will go into multiple Adobe products. We're particularly interested in the application of GenAI to photographic problems.  As examples of recent learning-based technologies we've explored, you may have seen our MAX 2023 Sneak Peek on removing window reflections: https://youtu.be/hjLcIc7-bF4 , or the launch at MAX 2024 of Adobe Adaptive Profile, which uses AI to adjust the color and tone of your photographs based on a semantic analysis of scene content: https://blog.adobe.com/en/publish/2024/10/14/the-adobe-adaptive-profile . The Adaptive Profile notably produces HDR results from DNGs (or other raw format files). For SLR/MIR camera users, this may be the first time they've seen their photographs rendered in high dynamic range.
-As part of projects like this, my team is looking to hire interns for Summer 2025.
-Preferred candidates for internships are current MS or PhD students with training in computer graphics, computer vision, computational photography, or machine learning.
-Interns will be encouraged to pursue research and to publish, and should be interested in steering their research towards productization, so that Adobe can eventually ship their technologies in software products, with broad impact on imaging, photography, and the camera industry.  Interns will not be expected to write production code. My team collaborates closely with Adobe Research, but is separate from it.
-Interested?  Here is a link to Adobe's official job description: https://research.adobe.com/careers/internships/
-Students may also contact my team directly via this email address: nextcam-internships@adobe.com
-Offers are made on a rolling basis, and priority is given to candidates who apply
-before December 1, 2024.  These internships will be local in San Jose, although
-exceptions are possible in rare cases, e.g. if the mentor is themselves remote.
-So please let your students know we are hiring!
--Marc Levoy
- Vice President and Fellow
- Adobe Inc.
-**<color #e32d2d> DeepMind - Call for Student Researchers at Google DeepMind </color>**
--------- Note: they ask for PhD students coming for internships; no guarantees that M2 master students are accepted but you could try --------
-From David Salesin:
-At Google DeepMind, Miki Rubinstein and I are leading a talented team of researchers and engineers working at the forefront of generative AI, computer vision, and graphics. Our team is known for pursuing research that pushes the boundaries of what is possible (e.g., Generative Image Dynamics, W.A.L.T, Lumiere, VideoPoet, Muse, DreamBooth, DreamFusion, NeRF); making direct contributions to Google’s foundation models (Imagen, Veo, Gemini); and turning our world-class research into product features with literally billions of users (e.g., Cinematic Moments for Photos, Cinematic Wallpaper for Android, Best Take for Pixel, Immersive View for Maps, Dream Screen for YouTube, AI Image Generator for Cloud, and Product Studio for Shopping).
-We are looking to hire PhD students in computer vision, graphics, and machine learning to join us as Student Researchers to advance the state of the art in these areas. We publish in top-tier venues like CVPR, SIGGRAPH, NeurIPS and ICML.
-Our team includes 60+ people (including those listed below) and spans numerous locations:
-    San Francisco (myself, Jon Barron, Pratul Srinivasan, Aleksander Hołyński, Songyou Peng, Janne Kontkanen, Dor Verbin, Albert Shaw, Glenn Entis);
-    Atlanta (Thad Starner, Irfan Essa, José Lezama, Grant Schindler, Meera Hahn);
-    Cambridge, Mass (Bill Freeman, Deqing Sun, Miki Rubinstein, Forrester Cole, Charles Herrmann, Junhwa Hur, Lijie Fan, Erika Lu, Sarah Rumbley);
-    Mountain View (Leonidas Guibas, Tom Funkhouser, Madison Le, Siddhant Jain);
-    New York City (Noah Snavely, Ramin Zabih, Richard Tucker, Kyle Genova);
-    Tel Aviv (Tali Dekel, Inbar Mosseri, Roni Paiss);
-    Seattle (Rick Szeliski, Brian Curless, Amit Raj);
-    Berlin (Daniel Sýkora);
-    London (Peter Hedman);
-    Zurich (Stefan Popov);
-    Playa Vista (James Vecore).
-We hope you will join us! Here’s how to apply:
-    Submit a formal application: US, Israel, Europe (note the December 13 deadline for Israel and Europe!)
-    Please email gdm-ct-internships@google.com to let us know you applied. Include your CV, and any other relevant info—for example, with whom you’d like to work.
-We will be considering applications on a rolling basis, so please apply as early as possible. Thanks!
-**<color #e32d2d> Artefact - Deep learning, Computer Vision - 19 rue Richer, 75009, Paris, www.artefact.com        </color>**
- * Topics
-    *  Deep learning and operational research for Supermarkets [[https://www.dropbox.com/scl/fi/t8lj4qwiczx7050hbzgri/2025_Fiche-de-poste-stage-Assort.pdf?rlkey=z4uygwzcpe12x38fgce15pp9h&dl=0]]
-    *  Tree-based scoring method [[https://www.dropbox.com/scl/fi/8mh033i9xf153t3kcfmrp/2025_Fiche-de-poste-stage-ARC-Tree.pdf?rlkey=t98me887vljcq9f5z8ydbiyz4&dl=0]]
-**<color #e32d2d> Laboratoire I3S (CNRS UniCA) Equipe Mediacoding - Sophia Antipolis       </color>**
-  Topic: 3D ADN: [[https://webusers.i3s.unice.fr/~fpayan/data/offres/Internship_Topic_I3S_Payan_24-25_en-fr.pdf]]
-  Contacts : Frédéric Payan - fpayan@i3s.unice.fr ; Marc Antonini - am@i3s.unice.fr
-**<color #e32d2d> Seelab - Hybrid (remote + on-site in Paris or Nantes)       </color>**
-Topic and Company Presentation: [[https://www.dropbox.com/scl/fo/2ql7brndzh7ukpkkgbiw0/AAwr-5fRpA3vrB9kWfT4ieE?rlkey=rd49b3jdmcbnrv7bydc87lscm&dl=0]]
-Dans le cadre de nos projets de recherche et développement chez Seelab.ai, nous recherchons un(e) stagiaire en cycle master ou post doctorant pour travailler sur des problématiques avancées en computer vision.
-Le stage que nous proposons portera notamment sur de la recherche et du fine-tuning de modèles de diffusion axés sur la génération et le traitement d’images, impliquant l’optimisation de pipelines existants, l’adaptation de modèles via LoRA et ControlNet.
-  Contacts : Ronan Tessier - ronan@seelab.ai
-=============== Internship proposals 2022-2023 =======================
-This list is kept here as inspirations/ideas on companies your could contact to find an internship.
-** <color #22b14c> Decathlon SportsLab at Lille (France) - Research Internship in Computer Vision "Strategy for the integration of Visual Computing for the analysis of sports movement and posture”</color>**
-Link internship offers: http://www.lix.polytechnique.fr/Labo/Marie-Paule.Cani/MasterAI/lib/exe/fetch.php?media=2023_02_27_training_offer-decathlon-visual_computing_lille.pdf
-Duration:The 5 to 6-month internship
-Périod: start on april 2023
-How to apply? Send by mail your Corver letter, Resume (more information online)
-Contact to apply:
-GUILLAUME DIVRECHY <guillaume.divrechy@decathlon.com>
-Human Factors & Ergonomics Lab, team player
-SportsLab Quality Assurance, project leader 2023
-** <color #22b14c> ASSYSTEM Paris La Défense/Courbevoie (France), in the DataScience team within the ASSYSTEM Digital Factory (group of 70 people) in La Défense, for M1 or M2 students </color>**
-Links internship offers :
-) Contribution to the product roadmap of an AI solution "eMoby" for CV analysis and matching with job descriptions
-http://www.lix.polytechnique.fr/Labo/Marie-Paule.Cani/MasterAI/lib/exe/fetch.php?media=2023_02_09_internship_emoby_cv_parsing_fr_assystem.pdf
-) Contribution to assystem's innovation programme concerning the application of AI algorithms in engineering processes related to the energy transition
-http://www.lix.polytechnique.fr/Labo/Marie-Paule.Cani/MasterAI/lib/exe/fetch.php?media=2023_02_09_internship_digital_engineering_fr_assystem.pdf
-Duration : 6 months. The intern will work on the Assystem site in Paris La Défense/Courbevoie. Homeworkin possible.
-Périod : march 2023
-Website: www.assystem.com
-How to apply? Send by mail your Corver letter, Resume (more information online)
-Contact to apply: jobs.assystem.com
-** <color #22b14c> ARTEFACT Paris - Research Internship in Computer Vision “Scalable Multi Objects Tracking for Retail”</color>**
-Link internship offers : http://www.lix.polytechnique.fr/Labo/Marie-Paule.Cani/MasterAI/lib/exe/fetch.php?media=20230126_computer_vision_research_internship_-_computer_vision_research_internship_1_.pdf
-Duration : The 5 to 6-month internship
-Périod : march 2023
-Website: https://www.artefact.com/
-How to apply? Send by mail your Corver letter, Resume (more information online)
-Contact to apply: please write an e-mail to charlotte.silo@artefact.com and emmanuel.malherbe@artefact.com
-** <color #22b14c> GLEAMER - 117 Quai de Valmy - 75010 Paris - AI engineer trainee</color>**
-The AI engineer trainee will help us improve our deep learning models on 2D and/or 3D medical images and then join us on a permanent basis.
-Link internship offers for M2 in FR & GB : http://bit.ly/3XXyW6M
-Duration : The 6-month internship and contract CDI after
-Périod : start march 2023
-Website:  https://www.gleamer.ai/
-How to apply? Send by mail your Corver letter, Resume (more information online)
-Contact to apply:
-Misrachi Gabriel
-AI Engineer
-Gabriel Misrachi <gabriel.misrachi@gleamer.ai>
-** <color #22b14c> Inria Rennes (www.inria.fr/centre/rennes), Campus Universitaire de Beaulieu, on the team MimeTIC (www.irisa.fr/mimetic/) - M2 internship offer on synchronisation between real and virtual cyclists in augmented reality </color>**
-Link internship offers for M2 in FR & GB :
-http://www.lix.polytechnique.fr/Labo/Marie-Paule.Cani/MasterAI/lib/exe/fetch.php?media=20221213_stage_sharespace_fr.pdf
-http://www.lix.polytechnique.fr/Labo/Marie-Paule.Cani/MasterAI/lib/exe/fetch.php?media=20121213_internship_sharespace_en.pdf
-Duration : The 6-month internship
-Périod : betwen middle of -january and middle of July 2023 (<color #ed1c24>**WARNING**:</color>for MScT AI-ViC - departure on internship after courses and examination on march, perhaps negociate April to august or september)
-Website:
-How to apply? Send by mail your Corver letter, Resume (more information online)
-Contact to apply:
-Richard Kulpa
-Maître de conférences
-Laboratoire M2S - Inria MimeTIC
-m2slab.com
-Richard Kulpa <richard.kulpa@irisa.fr>
-Co-porteur de l'EUR DIGISPORT
-digisport.univ-rennes.fr
-Newsletter DIGISPORT
-** <color #22b14c>ideactiv – essentiellement en télétravail, avec des points de rendez-vous réguliers en ligne et en présentiel avec le fondateur d’ideactiv (X93) (Fr) - M2 internship: IA / machine learning
-Amélioration des performances d’un “deep search engine” </color>**
-Link internship offers for M2 in FR & GB :
-http://www.lix.polytechnique.fr/Labo/Marie-Paule.Cani/MasterAI/lib/exe/fetch.php?media=2022_11_30_internship_offer_ideactiv._stage_ai_ml._nov_22._en.pdf
-http://www.lix.polytechnique.fr/Labo/Marie-Paule.Cani/MasterAI/lib/exe/fetch.php?media=20221130_offre_stage_ideactiv._stage_ia_ml._nov_22._fr.pdf
-http://www.lix.polytechnique.fr/Labo/Marie-Paule.Cani/MasterAI/lib/exe/fetch.php?media=2022_11_30_ideactiv_-_sujets_de_stage_ai_ml_-_nov_22.pdf
-Duration : The 6-month internship will start in early 2023, with a possibility to start a Ph.D or hiring
-Website:  https://www.ideactiv.com/index.php?public=
-How to apply? Send by mail your Corver letter, Resume (more information online)
-Contact to apply:
-Thomas Chenevier
-hello@ideactiv.com
-** <color #22b14c>INRIA – Grenoble (Fr) - M2 internship: Video-based dynamic garment representation and synthesis </color>**
-Link internship offers for M2 :  https://team.inria.fr/morpheo/category/job-offers/
-Duration : The 6-month internship will start in early 2023, with a possibility to start a Ph.D. in October 2023  (for a duration of 3 years). The Ph.D. will be supervised by Pierre Héllier (Interdigital Rennes), Bharath Damodaran (Interdigital Rennes), Adnane Boukhayma (Inria Rennes), and Stefanie Wuhrer (Inria Grenoble).
-How to apply? Send by mail your Corver letter, Resume and transcript of grades (more information online)
-Contact to apply: Stefanie Wuhrer <stefanie.wuhrer@inria.fr>
-** <color #22b14c>PRIMAA – Paris (Fr) </color>**
-Link internship offers :
-) Applications of unsupervised learning in histopathology
-[[https://www.welcometothejungle.com/fr/companies/primaa/jobs/intership-applications-of-unsupervised-learning-in-histopathology_paris]]
-) Weakly Supervised learning for histopathology
-[[https://www.welcometothejungle.com/en/companies/primaa/jobs/internship-weakly-supervised-learning-for-histopathology_paris]]
-How to apply? Send by mail your Corver letter and Resume and/or on line
-Contact to apply:
-M. Adrien Nivaggioli (MScT AI-ViC alumni)
-adrien@primaalab.com
-** <color #22b14c>Worldline – Human / bot behavior identification – Lyon (Fr) </color>**
-Link internship offers : https://jobs.worldline.com/Worldline/job/Lyon-69-STAGE-IA-ANALYSE-DE-DONNEES-DE-PAIEMENT-AVEC-DU-MACHINE-LEARNING-%28HF%29-1-1-Rh%C3%B4n/756908202/
-Good level in English requiered
-How to apply? Send by mail your Corver letter and resume and/or on line
-Contacts to apply:
-MENARD, SAMUEL <samuel.menard@worldline.com>
-R&D Engineer
-Worldline Labs – AI Skill Center
-Tel +33 (0)4 78 17 80 93
-, avenue Paul Krüger
-Villeurbanne Cedex - France
-Human / bot behavior identification
-** <color #22b14c>Inria – Rationalization of CAD assemblies – Sophia-Antipolis (Fr-near Nice) ; Master-level internship, could be extended to a PhD </color>**
-Link internship offers : http://www.lix.polytechnique.fr/Labo/Marie-Paule.Cani/MasterAI/lib/exe/fetch.php?media=20221019_internship_offer_inria_sophia_cadassembly.pdf
-Internship bonus : The internship will take place at Inria Sophia Antipolis. Inria will provide a monthly stipend
-of around 1100 euros for EU citizens in their final year of masters, and 400 euros for other
-candidates. Candidates should have strong programming and mathematical skills as well as
-knowledge in computer graphics, geometry processing and optimization
-How to apply? Send by mail your Corver letter and resume
-Contacts to apply:
-Adrien Bousseau and Florent Lafarge, Inria Sophia Antipolis
-adrien.bousseau@inria.fr
-florent.lafarge@inria.fr
-http://www-sop.inria.fr/members/Adrien.Bousseau/
-http://www-sop.inria.fr/members/Florent.Lafarge/
-** <color #22b14c>Inria – Utilisation de deep learning pour le changement d’échelle des données satellites
-d’observation de la Terre – LERMA de l’observatoire de Paris (Fr)</color>**
-Link internship offers :
-http://www.lix.polytechnique.fr/Labo/Marie-Paule.Cani/MasterAI/lib/exe/fetch.php?media=20221014_internship_downscaling_observatoire.pdf
-How to apply? Send by mail your Corver letter and resume
-Contacts to apply:
-Laboratory: LERMA, Observatoire de Paris, 61 avenue de l’Observatoire 75014 Paris
-Supervisor: Filipe AIRES, filipe.aires@obspm.fr, 06 20 15 22 98
-Requested background: Strong background in applied mathematics/physics. Good programming
-** <color #22b14c>Inria – Subcell erosion for terrain generation – Sophia-Antipolis (Fr-near Nice) </color>**
-Link internship offers :http://www.lix.polytechnique.fr/Labo/Marie-Paule.Cani/MasterAI/lib/exe/fetch.php?media=20221011_internship_subcellerosion_inria.pdf
-Internship bonus : Inria will provide a monthly stipend of around 1100 euros for EU citizens in their final year of masters, and ~600 euros for other candidates.
-How to apply? Send by mail your Corver letter and resume
-Contacts to apply:
-Guillaume Cordonnier, GRAPHDECO, Inria Sophia Antipolis (France)
-http://team.inria.fr/graphdeco
-Guillaume.Cordonnier@inria.fr
-http://www-sop.inria.fr/members/Guillaume.Cordonnier/
-** <color #22b14c>Inria – Instant generation of geomorphologically accurate terrain – Sophia-Antipolis (Fr-near Nice) </color>**
-Link internship offers :http://www.lix.polytechnique.fr/Labo/Marie-Paule.Cani/MasterAI/lib/exe/fetch.php?media=20221011_internship_fastterrains_inria.pdf
-Internship bonus : Inria will provide a monthly stipend of around 1100 euros for EU citizens in their final year of masters, and ~600 euros for other candidates.
-How to apply? Send by mail your Corver letter and resume
-Contacts to apply:
-Guillaume Cordonnier, GRAPHDECO, Inria Sophia Antipolis (France)
-http://team.inria.fr/graphdeco
-Guillaume.Cordonnier@inria.fr
-http://www-sop.inria.fr/members/Guillaume.Cordonnier/illaume.Cordonnier/
-====== PhD thesis proposals =======
-**THALES**
-**Automatiser une chaine de renseignement militaire** (THALES, apprenti ou thèse sur 3 ans).
-L’observation est permanente. On traite plus de 10 000 interceptions par jour soit plusieurs dizaines ou centaines de millions d’impulsions radar élémentaires. Le traitement est automatique mais il peut y avoir par exemple 1% d’échec ce qui représente entre 100 ou 1000 interceptions ou plus. Le traitement fait un diagnostic de chaque interception sur chaque paramètre pour savoir si il y a correspondance avec un signal cible. Le traitement analyse pour cela plus de 100 paramètres, avec une hiérarchie sur les types d’erreur rencontrés. Il peut être aussi amené à déclencher des actions pour compléter les faits à disposition. Les diagnostics élémentaires sont tous automatisés.
- Quand tout ne « match » pas,  il faut déterminer  si c’est un signal inconnu ou une variante d’un mode d’émission connu. Et faire l’analyse des causes.Et compléter en conséquence la base de données. Tant qu’on a pas « légiférer » sur le type de problème rencontré, c’est un opérateur expert qui décide. On dispose donc d’une pseudo-réalité terrain.
-Pour traiter automatiquement ces situations d’échec on envisage l’utilisation :
-- D’un apprentissage d’arbres de décisions pour retrouver automatiquement le bon diagnostic. A ce niveau l’explication (retour aux causes) est indispensable.
-- De régles locales définies par l’expert sur les noeuds terminaux.
-Pour l’apprentissage, nous envisageons d’utiliser :
-- une technique rapide ne donnant pas forcément d’explication pour approcher la performance décisionelle que nous pourions atteindre
-- Une technique à base d’arbres de décision pour avoir la possibilité d’expliquer le raisonement (et à terme de le compléter)
-Nous avons réalisé il y a 20 ans un procédé type CART avec apprentissage local de densités de probabilités par Kernel. Dans le cadre d’une thèse nous aimerions approfondir la pertinence de ce type de technique avec les forets aléatoires. Il faudra aussi compléter (voir plus loin).
-Dans le cadre de l’apprenti, nous voulons réaliser un véritable prototype travaillant sur données réelles (d’où une nécessité d’habilitabilité de celui-ci au niveau confidentiel requis). Et mettant en œuvre les techniques que nous trouvons sur étagère, puis les techniques plus raffinées extraites de la thèse.
-Sur les nœuds terminaux de l’arbre, il pourrait être nécessaire d’améliorer le traitement en lançant des diagnostics partiels plus élaborés, répetoriés ou construis adhoc à la premiere fois ou le cas serait rencontré. Pour cela des régles simples de déclenchement d’action et de décision semblent idéales. Se posera alors le problème du maintien en cohérence des systèmes locaux de régles et les problèmes de généralisation et spécialisation.
-Contact : Jean-Francois Grandin <jean-francois.grandin@fr.thalesgroup.com>
-**THALES**
+=============== Internship proposals 2025-2026 ===============
-See {{ ::propositiondethese_tlasome_lip6.pdf |}}
+  * <color #ed1c24>**CNIL**: Auditing compliance of AI Systems</color>
+    * **Description:** CNIL is the French Data Protection Authority and will have a central role in the application of the EU AI Act that is progressively entering into force. In the AI department, you will support the effort to put in place CNIL's technical strategy for auditing AI systems. This is a unique opportunity to participate in the very beginning of AI regulation.
+    * **Keywords:** AI Audit, AI Act, AI Regulation, AI Ethics
+    * **Theory/applied:** In-between research and operational missions
+    * **Contact:** Nicolas Berkouk <nberkouk@cnil.fr>