Postdoc in Deep Federated Learning with Medical Imaging

Thursday 3rd June 2021

Organization: Helmholtz AI, Helmholtz Center Munich

Location: Munich, Germany

Title: Postdoc in Deep Federated Learning with Medical Imaging

URL: https://jobs.helmholtz-muenchen.de/jobposting/13354886afc50ed9eac54e6b3ebb27f84b27e4980?ref=homepage

Email: shadi.albarqouni@helmholtz-muenchen.de

Description: 

The Albarqouni lab develops innovative deep Federated Learning algorithms that can distill and share the knowledge among AI agents in a robust and privacy-preserved fashion. Research topics include, but are not limited to, i) handling distributed DL models with data heterogeneity including non i.i.d, and domain shifts, ii) developing explainability and quality control tools for distributed models, and iii) robustness to data and models poisoning attacks. In this context, we are looking for a Postdoc who has a strong background in machine/deep learning to push our understanding of robustness in Federated Learning algorithms. The candidate will be also contributing to interdisciplinary projects with other Helmholtz centers working with multidisciplinary team members.

Closing Date: 20th June 2021