Assistantship | PhD | Performance and Research Optimization in Networks Lab (PROTON Lab) | Arizona State University | Tempe, Arizona, USA

Position Description:
Four fully-funded PhD positions are available in the Performance and Research Optimization in Networks Lab (PROTON Lab) at Arizona State University’s School of Electrical, Computer, and Energy Engineering. Successful candidates will contribute to NSF, DoD, and DoE-funded projects focusing on cutting-edge advancements in Next Generation Wireless Networks and AI.

Qualifications:

  • Minimum GPA: 3.5
  • Background in Machine Learning, Deep Learning, Optimization, and programming skills in C, Python, NS3, OMNET++, or Verilog.
  • Knowledge in Hardware Security, ASIC Synthesis, FPGA Design, and Testing.

Research Topics/Area:
AI, 6G Networks, Internet of Things, Cybersecurity.

Project Details:
The students will work on projects funded by NSF, DoD, and DoE in collaboration with Sandia National Laboratories, Army Research Lab, Air Force Research Labs, and Los Alamos National Laboratory.

Funding:
Full funding is available.

Apply:
Interested candidates should submit:

  • A detailed CV
  • Copies of degree certificates and transcripts
  • Publication record or writing samples from thesis
  • A letter of motivation outlining research goals

Please email the application documents to eirini@asu.edu.

About Professor:
Dr. Eirini Eleni Tsiropoulou, an Associate Professor, specializes in optimization, networking, and AI applications, leading the PROTON Lab’s research efforts in Next Generation Wireless Networks.

About University:
Arizona State University, located in Tempe, Arizona, is recognized for its robust engineering programs and strong emphasis on research innovation and collaboration with industry partners, providing an enriching environment for PhD students.

About the Location:
Tempe, Arizona, offers a vibrant community, a warm climate, and close proximity to various tech companies, research labs, and national laboratories, ideal for academic and professional growth in technology-driven fields.