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--- internships [2025/11/13 12:53] – [Internship proposals 2025-2026] respai-vic
+++ internships [2026/01/29 07:45] (current) – [Internship proposals 2025-2026] respai-vic
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 =============== Internship proposals 2025-2026 ===============================================
+**<color #e32d2d>- Disney Research Summer Internship Program </color>**
+  * Host: Disney Zurich, Switzerland
+"Interns, assemble!" DisneyResearch|Studios and Disney Research Imagineering in Zurich, Switzerland, are looking for talented summer interns in computer graphics, machine learning, computer vision, and learning-based control. We are seeking candidates to solve new and emerging problems in visual effects, animation, and entertainment robotics. We are looking for individuals who share a passion for exploring complex, unsolved problems and are excited by the prospect of contributing to some of the most popular movie franchises of our time as well as the next generation of theme park experiences.
+For 18 years, Disney Research has been at the forefront of technological innovation, pushing the boundaries of what is possible to help The Walt Disney Company differentiate its entertainment products, services, and content. Our mission is rooted in the long Disney tradition of inventing new technologies to contribute to the magic of the stories we tell and the characters we love. Our inventions are used in almost every Disney feature film production and have brought robotic characters to life that dazzle millions of guests worldwide.
+Disney Research is part of a wider innovation ecosystem operating in close partnership with our technology units at the Walt Disney Animation Studios, Pixar Animation Studios, Lucasfilm/ILM, Marvel Studios, Walt Disney Pictures, 20th Century Studios, Searchlight, and Walt Disney Imagineering.
+We offer an inspiring modern workplace close to the city center of Zurich, a collaborative work atmosphere, and exciting tasks in an international environment utilizing the latest technologies. Interns work under the supervision of our senior researchers. The summer internship will run for three months over June, July, and August in Zurich, though the exact dates are flexible. The working language is English.
+Responsibilities
+* Research, develop, and implement concepts, modules, or capabilities in image, video, geometry, motion processing, or robotics
+*Collaborate with and support other engineers and researchers
+*Communicate research project agendas, progress, and results
+Minimum Qualifications:  Bachelor's or Master's degree in computer science (or related field), Currently enrolled as a university student (MSc or PhD level). Proven track record of achieving significant results
+Preferred Qualifications
+    *Demonstrated software engineering experience, coding competitions, or published papers
+    *Experience with machine learning (particularly deep learning), rendering, computer vision, image processing, numerical optimization, animation technology, real-time game engines, or robotics
+    *High level of creativity and quick problem-solving capabilities
+To apply, please submit your resume and a cover letter that details your area of specialization and includes links to any representative papers. We will consider applications on a rolling basis, so apply early if possible.
+[[https://studios.disneyresearch.com/internship-program/|Application link ]]
+**<color #e32d2d>- Identity Preserving image restoration </color>**
+  * Host: DxO Labs
+  * Keywords: Digital photography, image restoration, deblurring, sharpness enhancement, deep learning, generative models, diffusion models, personalized restoration, optimization.
+  * Description:  [[https://www.dropbox.com/scl/fi/2oiwqr3oauivt6z0mvd9t/DxO-Identity-Preserving-Image-Restoration.pdf?rlkey=25jnl945qex8v3h175ftspvn1&st=2sr5xrkx&dl=0|link to the proposal]]
+**<color #e32d2d> -  Development of Interactive Experiences in Virtual Reality for Immersive Art and Live Performances </color>**
+  * Host: Vannes campus, EXPRESSION Team, IRISA Laboratory (Université Bretagne Sud).
+  * Topic: exploring new forms of artistic expression through immersive technologies.
+  * Objectives: The goal of the internship is to implement an application in a virtual environment to accompany an artistic installation composed of real objects. Within this application, sculptures, digital twins of physical sculptures, will evolve and allow users to interact with them.
+  * Keywords: 3D, simulation, art and science, multi-sensoriality, motion analysis, artificial intelligence, Unity 3D, VR/AR/XR
+  * Profile: Master’s level (M2) computer science student or final-year engineering student (BAC+5 in progress), specializing in computer graphics, virtual reality, and/or artificial intelligence.
+  * Practical: 6 months internship.
+  * [[https://www.dropbox.com/scl/fi/ftjzxfgmatlmvmim005dw/ICCARE-internship-IRISA-Vannes-EV.pdf?rlkey=nr3tyldjyxeqshan05o1c4fl7&dl=0|link to the proposal]]
+**<color #e32d2d> -  TRANSfer learning models able to handle MISSing data for the survival analysis of rare cancer from multi-OMICS data (CNRGH at Evry) </color>**
+  * Host: Maths-Stats Team - National Center for Human Genome Research (CNRGH) at Evry.
+  * Topic: Study models able to both deal with missing data and perform Transfer Learning to tackle the curse of dimensionality in cancer survival multi-omics studies.
+  * Objectives: Perform a benchmark study of such methods on The Cancer Genome Atlas (TCGA); Eventually develop new statistical methods (mathematical optimisation).
+  * Profile: M2 or last year of engineer school with specialty/knowledge in Computer Science / Statistics / Machine Learning / Deep Learning / BioStatistics. Working knowledge in programming (R / Python, ...). Previous experience with applications to genomics will be a plus.
+  * Practical: 6 months internship.
+  * [[https://www.dropbox.com/scl/fi/0fuhtmifyluqr8ahm1t6t/stageMaster_2026_CNRGH_CEA.pdf?rlkey=63yq5hy8pcz1zdklkkx49obm8&dl=0|link to the proposal]]
+**<color #e32d2d> - Unified Vision Encoders: Multi-Teacher Distillation and Dynamic Transformers (valeo.ai) </color>**
+  * Host: valeo.ai (Paris), research lab on ML & CV for automotive.
+  * Topic: Distill multiple large vision encoders (e.g., Franca, SigLIP 2, VGGT) into one versatile transformer backbone.
+  * Objectives: Design multi-teacher distillation pipelines for heterogeneous teachers; Develop dynamically scalable transformers (conditional depth / compute modes).
+  * Profile: Final-year MSc (or equivalent) in ML / CV; Strong deep learning + PyTorch skills.
+  * Practical: 6-month research internship (2025–2026), located in central Paris.
+  * [[https://drive.google.com/file/d/1bYUb1l9C8b-Y8iGqpsBhrCLCk20du5X-/view?usp=sharing|link to the proposal]]
+**<color #e32d2d> - Software Engineer en technologies web et IA (GE HealthCare) </color>**
+The Software Engineer will join GE HealthCare's Advanced Visualization (AV) organization, dedicated to shaping the future of medical imaging through innovative web and AI technologies. This role offers the opportunity to integrate into a Scrum development team, focused on collaborative, cutting-edge projects like AI DREAM, which drives the creation of automated diagnostic and follow-up solutions. The engineer will contribute to the full-stack development of advanced components, critical functionalities in medical imagery, and define the architecture for algorithmic pipelines in computer vision. Ideal candidates possess proven expertise in computer vision, deep learning, client-server/web topologies, and proficiency in languages including TypeScript, CSS, HTML, and C++. [[https://drive.google.com/file/d/1hirsZOdS1iszWVMhJdG_ded2vpFvF6fS/view?usp=sharing|link to the proposal]]
+**<color #e32d2d> - 2026 summer internships and Full-time positions in computational photography at Adobe </color>**
+Colleagues,
+In my role as Vice President and Fellow at Adobe Inc., I run a team called Nextcam - a company-wide technology initiative focused on computational photography and AI at the point of capture, especially on mobile cameras.  We also work on AI-driven understanding and editing of still photographs and videos, and are keenly interested in how GenAI and large foundation models can help with these tasks.  As part of these efforts, my team is actively hiring.  In particular, we are looking for interns for Summer 2026, and full-time research scientists / research engineers - both junior and senior.
+What has my team done recently?
+Lots of stuff.  Most notably, we wrote and launched an experimental smartphone camera app called Indigo:
+      https://research.adobe.com/articles/indigo/indigo.html
+The app offers full manual controls, a more natural ("SLR-like") look, and the highest image quality that computational photography can provide - in both JPEG and raw formats.  It also introduces some new photographic experiences not available in other camera apps, such as removal of window reflections.  Indigo was released to the public in June 2025 as a free app on iPhone.  To our delight but not surprise, Indigo went viral, reaching 2 million downloads in the first few weeks, and received broad positive coverage in the tech press:
+https://research.adobe.com/articles/indigo/indigo.html
+https://www.theverge.com/news/690115/adobe-project-indigo-camera-app-marc-levoy
+https://petapixel.com/2025/06/19/adobes-new-computational-iphone-camera-app-looks-incredible/
+https://www.dpreview.com/news/4142720910/adobe-quietly-made-a-super-powered-camera-app-for-iphone
+https://gregbenzphotography.com/photography-reviews/project-indigo-the-best-camera-app-for-smart-phones/
+In addition to Indigo, my team develops computational and learning-based technologies that go into multiple Adobe products.  For example, in 2024 we launched 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
+and in early 2025 we launched an AI-based technology for removing window reflections from photographs:
+     https://blog.adobe.com/en/publish/2024/12/12/removing-window-reflections-adobe-camera-raw
+Both technologies run in Adobe Camera Raw and Lightroom, and have tens of millions of users.
+Are we a research team, or a product team?
+In a word - both.  My team collaborates closely with Adobe Research, but is separate from it.  We have more the feeling of a small startup inside a big company, but a startup with the resources of a successful tech company. Here are some of the people on my team, and examples of their recent research:
+Here are some of the people on my team, and examples of their recent research:
+Florian Kainz:       https://blog.adobe.com/en/publish/2024/10/14/the-adobe-adaptive-profile
+Eric Kee:                https://erickee.com/reflections/cvpr2025.html
+Zhoutong Zhang: https://ztzhang.info/
+Shumian Xin:        https://shumianxin.github.io
+Yuting Yang:         https://yyuting.github.io
+Ruiming Cao:       https://rmcao.net
+Ilya Chugunov:     https://ilyac.info
+Mingdeng Cao:    https://scholar.google.com/citations?user=EcS0L5sAAAAJ&hl=en
+Zeqi Gu:                https://www.cs.cornell.edu/~zeqigu/
+and here are some papers we've published recently, many of them with past interns:
+- Learning to Refocus with Video Diffusion Model, Siggraph Asia 2025, SaiKiran Tedla, Zhoutong Zhang, Xuaner Zhang, Shumian Xin.
+- LEDiff: Latent Exposure Diffusion for HDR Generation, CVPR 2025, Chao Wang, Zhihao Xia, Thomas Leimkuhler, Karol Myszkowski, Xuaner Zhang.
+- Classic Video Denoising in a Machine Learning World: Robust, Fast, and Controllable, CVPR 2025, Xin Jin, Simon Niklaus, Zhoutong Zhang, Zhihao Xia, Chunle Guo, Yuting Yang, Jiawen Chen, Chong-Yi Li.
+- Instruction-based image manipulation by watching how things move, CVPR 2025. Mingdeng Cao, Xuaner Zhang, Yinqiang Zheng, Zhihao Xia.
+- Removing Reflections from RAW Photos, CVPR 2025. Eric Kee, Adam Pikielny, Kevin Blackburn-Matzen, Marc Levoy.
+- Restoration by Generation with Constrained Priors, CVPR 2024, Zheng Ding, Xuaner Zhang, Zhuowen Tu, Zhihao Xia.
+- Explorative Inbetweening of Time and Space, ECCV 2024, Haiwen Feng, Zheng Ding, Zhihao Xia, Simon Niklaus, Victoria Abrevaya, Michael J. Black, Xuaner Zhang.
+- Fast View Synthesis of Casual Videos with Soup-of-Planes, ECCV 2024, Yao-Chih Lee, Zhoutong Zhang, Kevin Blackburn-Matzen, Simon Niklaus, Jianming Zhang, Jia-Bin Huang, Feng Liu.
+- Self-Supervised Burst Super-Resolution, ICCV 2023, Goutam Bhat, Michaël Gharbi, Jiawen Chen, Luc Van Gool, Zhihao Xia.
+- DiffusionRig: Learning Personalized Priors for Facial Appearance Editing, CVPR 2023, Zheng Ding, Xuaner Zhang, Zhihao Xia, Lars Jebe, Zhuowen Tu, Xiuming Zhang.
+- SunStage: Portrait Reconstruction and Relighting using the Sun as a Light Stage, CVPR 2023, Yifan Wang, Aleksander Holynski, Xiuming Zhang, Xuaner Zhang.
+- Automatic High Resolution Wire Segmentation and Removal, CVPR 2023, Mang Tik Chiu, Xuaner Zhang, Zijun Wei, Yuqian Zhou, Eli Shechtman, Connelly Barnes, Zhe Lin, Florian Kainz, Sohrab Amirghodsi, Humphrey Shi.
+- Neural Photo-Finishing, SIGGRAPH Asia 2022, Ethan Tseng, Yuxuan Zhang, Lars Jebe, Xuaner Zhang, Zhihao Xia, Yifei Fan, Felix Heide, Jiawen Chen,
+- The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement, CVPR 2022, Ilya Chugunov, Yuxuan Zhang, Zhihao Xia, Xuaner Zhang, Jiawen Chen, Felix Heide
+What sort of people are we looking for?
+Internships:
+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.
+Interested in an internship?  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:mailto:nextcam-internships@adobe.com
+Offers are made on a rolling basis, and priority is given to candidates who apply before January 1, 2026.  These internships will be local in San Jose, although exceptions are possible in rare cases, e.g. if the mentor is themselves remote.
+Full-time positions:
+Preferred candidates for full-time positions should be newly or recently graduated MS or PhD students, or experienced researchers / engineers in existing companies, again with training in computer graphics, computer vision, computational photography, or machine learning.  Research scientists / engineers are welcome to publish, but should also be interested in rolling up their sleeves and shipping their technologies.  We collaborate closely with teams elsewhere in Adobe that can help with productization.
+Interested in a full-time position?  We're actually looking for both research scientists and ML engineers, with slightly different roles and requirements. Here are links to Adobe's official job descriptions for both kinds of jobs:
+https://www.linkedin.com/jobs/view/computer-scientist-at-adobe-4312887392/?skipRedirect=true&utm_source=chatgpt.com
+https://www.linkedin.com/jobs/view/ai-software-development-engineer-at-adobe-4313121358/?skipRedirect=true&utm_source=chatgpt.com
+Students may also contact my team directly via this email address:mailto:nextcam-jobs@adobe.com
+So please let your students know we are hiring!
+And please ask them to specify which position they are interested in.
+-Marc Levoy
+ Vice President and Fellow
+ Adobe Inc.
 **<color #e32d2d> - M2 research internship at LIRIS, Lyon, leading to a funded PhD </color>**
@@ Line 72: / Line 227: @@
 This internship may lead to a PhD, as funding is already secured within the ANR project.
 Contacts:
-   guillaume.damiand@cnrs.fr
+guillaume.damiand@cnrs.fr
-   adrien.peytavie@univ-lyon1.fr
+adrien.peytavie@univ-lyon1.fr
@@ Line 105: / Line 260: @@
 ►About Mistral AI
-    Mistral AI is a pioneering French artificial intelligence startup founded in April 2023 by Arthur Mensch, Guillaume Lample and Timothée Lacroix.
+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.
+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
+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 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/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
+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
@@ Line 129: / Line 286: @@
   * 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]]
+**<color #e32d2d> Research in Graph-Machine Learning applied to logistic </color>**
+**Location:** full-remote
+**Contact:** theophile@monoceros-sas.fr
+**Duration:** 4 to 6 months, depending on the student’s availability
+**Organisations:** Monoceros SAS, Unicef
+**Project Objectives:** Optimization of UNICEF's Supply Chain in Madagascar with data collected by the Monoceros SmartM system and modelled using Graph-Machine Learning algorithms. This project aims to explore and exploit graph-oriented database technologies (Graph-DB) and Graph- Machine Learning (Graph-ML) algorithms to optimize logistics and strengthen the resilience of UNICEF's supply chain in Madagascar.
+[[https://www.dropbox.com/scl/fi/zytyawg7yc6x6eyvztbp3/Stage-Data-Science-EN.pdf?rlkey=ja38w6lt3n69g6eki0757i12i&dl=0|link to the proposal]]
 =============== Internship proposals 2024-2025 ===============================================