Bachelor, Master and Doctoral School Projects

Doctoral School Projects

Master Thesis or Doctoral School Projects

For further project offers, please contact members of the CVLAB directly.

Semester Projects (Bachelor and Master)

None available at the moment. 

Please note that most of the offered semester projects can be reformulated for a thesis and vice versa. Please contact us directly.

Job Offers

None available at the moment.

Administrative

Semester Projects (Bachelor and Master)

SIN and SSC students do one semester project during their Bachelor studies and one semester project during their Master studies.

Semester projects can be done in groups of two students.

Semester projects are worth 8 credits for Bachelor and 12 credits for Master.

Students must have the approval of the Professor in charge of the laboratory before registering for the given project.

Oral defense: within two weeks of the hand-in date.

Master Thesis Projects

Master Thesis Projects are started once the complete master program is finished and all the credits have been obtained.

Projects for SSC and SIN students should last 4 months at the EPFL or 6 months in the industry or in another University.

Master Thesis Projects must be done individually.

Master Thesis Projects are worth 30 credits.

Students must have the approval of the Professor in charge of the laboratory before registering for the given project.

Additional information

Towards Generalizable Embodied AI via Diffusion-Based Robotic Policies and GPT-Powered Scene Generation

Imagine a robot that not only follows instructions, but also autonomously decomposes complex goals, perceives the world, and takes actions like a human. This would mark a significant step toward general-purpose embodied intelligence, with applications in autonomous exploration in space, personal assistance, industrial automation, and beyond. This project offers the opportunity to work on frontier (…)

 AI Meets Art History: Generating the Missing Part of the Statue at Lausanne’s Cathedral with 3D Generative Models

Over the decades and centuries, many statues displayed in cultural monuments have been damaged. The goal of this project therefore is to study the use of the recent developments in Diffusion Model, Neural Radiance Fields (NeRFs) and 3D Gaussian Splatting (3DGS) to digitally reconstruct in 3D the head of the Virgin with the Child statue (…)

Modeling In-Orbit Radiation for Fault-Injection

Deep neural networks can be applied to many in-orbit applications such as in-orbit servicing, debris removal and construction. However, the deployment of these algorithms in-orbit raises the question of radiation tolerance. Exposure to high energy particles can induce single event upsets and other errors. An algorithm’s sensitivity to such errors is a function of many (…)

Advancing single photon perception for orbital robotics

A Single-Photon Avalanche Diode (SPAD) camera can measure individual photons at extremely high framerates. In the example image, a sunlight simulator was placed behind a target satellite and directed into the camera sensor. Notably, the standard camera saturates and most information is lost whereas the SPAD is still able to discern the target. This project (…)

3D Surface reconstruction using 3D Gaussians and SDF

3D Gaussian Splatting, while being primarily a novel view synthesis method, is adapted for 3D surface reconstruction by methods such as SuGaR. Some methods try to reconstruct the surface as an ad-hoc method while some train a traditional neural SDF in conjunction with the 3D Gaussians. In this project, the goal is to try to (…)

GPT Enhanced Physical-based Dataset Generation for Computer Vision Task

Develop a comprehensive framework for generating near-photorealistic images that accurately represent deformable objects and changing materials.

Constraint-Compliant_Controllable_Models

Constraint-Compliant Controllable Models

We live in a world full of manufactured objects of ever-increasing complexity that require clever engineering to be functional. Today, individual parts of these objects are often optimized separately, control is rarely accounted for at design time, and much manual tinkering is required. These shortcomings can largely be ascribed to the composite nature of industrially-designed (…)

Spacecraft pose estimation, on the edge

Demonstrate spacecraft pose estimation algorithms running on small edge devices.

Neurons of a fly.

Applying Machine Learning to 4D/5D Neuroimaging Data to Advance Motor Control Research

Recent advances in neuroscience have enabled researchers to visualize the activity patterns of up to thousands of neurons simultaneously. These experiments produce large 4-dimensional (time plus XYZ) or 5-dimensional (time plus XYZ plus multiple colors) image datasets capturing neurons changing in brightness as they become more or less active. Processing these datasets efficiently and accurately (…)