Welcome ECE Faculty!
The Electrical and Computer Engineering (ECE) Department
ECE is committed to support its faculty members’ career-long development in research, teaching, and service.
We value your contribution to the
- Growth of the institution’s research enterprise
- Quality of education students receive
- Vital functioning and strategic decision-making of campus and departmental committees
Announcements
Check Out the Events Webpage for Upcoming Meetings, Seminars, and Workshops!
Updated Funding Opportunities for ECE Research Areas posted on Funding Webpage
DOE Early Career Research Program
Mandatory Pre-applications Due on March 24, 5PM ET
Only those applicants whose pre-application is encouraged by DOE may submit full applications
Applications Due on June 2, 11:59PM ET
The U.S. Department of Energy's (DOE) Office of Science today announced it is now accepting applications for the 2026 DOE Office of Science Early Career Research Program. Early career researchers may apply to one of seven Office of Science program offices: Advanced Scientific Computing Research; Biological and Environmental Research; Basic Energy Sciences; Fusion Energy Sciences; High Energy Physics; Nuclear Physics; and Isotope R&D and Production. Proposed research topics must fall within the programmatic priorities of DOE's Office of Science, which are provided in the program announcement. Funding will be competitively awarded on the basis of peer review.
To be eligible for the program, a researcher must be an untenured, tenure-track assistant or associate professor at a U.S. academic institution or a full-time employee at a DOE National Laboratory or Office of Science User Facility who is within 10 years of having earned a doctorate degree. Awards to an institution of higher education will be approximately $875,000 over five years and awards to a DOE National Laboratory or Office of Science User Facility will be approximately $2,750,000 over five years.
NVIDIA Academic Grant Program Call for Proposals
Proposals Due March 31
NVIDIA’s Academic Grant Program is seeking proposals from full-time faculty members at accredited academic institutions who are using NVIDIA technology to advance work in three interest areas: Simulation and Modeling, Data Science, and Robotics and Edge AI.
Areas of interest:
- Simulation and Modeling focuses on scientific simulation, quantum computing, and physics-informed machine learning.
- Data Science submissions can include data processing and analytics, operational research and route optimization, statistical methods, graph analytics, graph neural networks, and visual analytics.
- Robotics and Edge AI submissions can include robotics, autonomous vehicles, 5G/6G, smart spaces, and federated learning.
Proposals should incorporate pretrained models from ai.nvidia.com and/or make extensive use of NVIDIA software distributions. Relevant examples include NVIDIA PhysicsNeMo, Omniverse™, CUDA-Q™, Isaac™, NeMo Framework™, NVIDIA Cosmos™, and CUDA-X™ Data Science libraries.