We are actively looking for exceptional students (Ph.D., M.S., and undergrads), Postdocs and Visitors for the following open positions:
1. On-Device Mobile Learning, Edge Computing and Federated Learning: The goal of this project is to develop highly efficient deep learning model architectures that can enable faster, computationally inexpensive, and private training and inference on the resource-constrained mobile/IoT devices.
2. Epidemics, Social and Biological Networks: This project explores various angles on social network dynamics (e.g., Twitter/Reddit opinion spreading, adversarial activity, and threat deterrence) as well as epidemics modeling, contact networks tracing and rewiring.
3. Embedded and Cyber-Physical System Design: This project involves machine learning and optimization techniques to design energy-efficient many-core systems, dynamic power and thermal management, and software-reconfigurable heterogeneous systems-on-chip (SoC).
Interested candidates should submit their resume and questions directly to Prof. Radu Marculescu at firstname.lastname@example.org.