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--- internships [2026/01/08 17:24] – respai-vic
+++ internships [2026/09/14 17:39] (current) – respai-vic
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 ==== 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.
+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 3 directors, including Aymeric Dieuleveut, will be involved as part of the jury.
 **First-year Internship**
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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: Distill multiple large vision encoders (e.g., Franca, SigLIP 2, VGGT) into one versatile transformer backbone.
+  * 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: 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.
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 [[https://www.dropbox.com/scl/fi/zytyawg7yc6x6eyvztbp3/Stage-Data-Science-EN.pdf?rlkey=ja38w6lt3n69g6eki0757i12i&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 </color>**
-**Theme:** Machine Learning / Deep Learning / Statistics/ Genomics / Multi-omics.
-**Duration:** 6 months.
-**Location:** Maths-Stats Team - National Center for Human Genome Research (CNRGH) at Evry.
-**Start in:** March 2026 (flexible).
-**Supervisors:** Mary SAVINO, Arnaud GLOAGUEN and Arthur TENENHAUS.
-**Procedure:** Send CV and motivation letter to Mary SAVINO and Arnaud GLOAGUEN.
-[[https://www.dropbox.com/scl/fi/v31bcsxsp8n9cocf7y7tp/stageMaster_2026_CNRGH_CEA.pdf?rlkey=xfep6nsrx0rlnxani8sfvsjx7&dl=0|link to the proposal]]