Student projects in the EPFL NeuroAI Lab should:
- contribute to the mission of the lab, i.e. to create accurate models of behavior and underlying neural mechanisms — these models let us make sense of the mind and brain, and enable new applications in the diagnosis and treatment of neural disorders
- contribute to ongoing projects by permanent members (PhDs and Postdocs), so that the results of the project will be useful long-term, and so that the student can make use of existing expertise.
- be aligned to the interests of the student with a realistic timeline so that meaningful progress with some closure can be made over the duration of the project.
The list of projects here is non-comprehensive. It is always a good idea to reach out to lab members whose research you find interesting and inquire if you can contribute to their projects. In either case, we ask that you apply via the form on the lab website. During interviews, we will share a more comprehensive list of projects with you that we are thinking about.
Testing computer vision models on human illusions
Project in collaboration with Michael Herzog lab
(1 student)
In a collaborative project with Michael Herzog’s group (Life science), we are looking for a Master student with strong computational skills and an interest in comparing models to human behavior. The goal of the project is to compare models from computer vision (including CNNs and vision transformers) with human performance in visual tasks with a focus on visual illusions (human data are already collected). We will build human behavioral benchmarks on Brain-Score to evaluate a wide range of models on their alignment to humans. This is a larger effort and we will prioritize students who are able to commit for at least 6 months.
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