Internship - Low-dimensional representations of realistic, heterogeneous epidemic models

We are looking for an intern to join our research on on devising and applying complex systems physics and deep learning methods to finding low-dimensional interpretable representations of realistic epidemic processes. Python skills, possibly with previous experience with pytorch, and a strong ability to learn are essential.

Candidates will be 1st-year or 2nd-year master students in computer science, machine learning, physics applied mathematics, engineering or other relevant fields. The starting date can be from late 2025, onwards. Internships typically last 6 months. The starting date can be from late 2025, onwards. Internships typically last 6 months.

If you would like to have more information please contact Eugenio Valdano.

To apply for the internship please use this link. The position will be filled as soon a suitable candidate is found.