V
Postdoc
PostDoctoral Research Associate Positions in MIMO/Signal Processing/Machine
🏛️ Virginia Tech
📍 United States (US)
🗓️ Posted 11 hours, 12 minutes ago
About this role
Applications are invited for a Research Associate position (non-tenure track) under Dr. Lingjia Liu (http://www.lingjialiu.ece.vt.edu) in Wireless@VT, Institute for Advanced Computing (IAC), and Bradley Department of Electrical and Computer Engineering (ECE) at Virginia Tech. The position involves conducting research in MIMO systems, algorithmic design, and machine learning for 6G networks.
Successful candidates will have chance to work with top-notched researchers from both academia and industry on future wireless systems spanning from novel physical layer waveforms designs to artificial intelligence-enabled wireless networks, from MIMO, ISAC to network design using O-RAN/V-RAN, from machine learning theory to USRP prototypes.
The position’s responsibilities include conducting independent research in these spaces developing publications for top venues including journals, conferences, and workshops; mentoring PhD students to work in these spaces; and developing proposals to various funding agencies such as National Science Foundation (NSF), Department of War (DoW), National Spectrum Consortium (NSC), Commonwealth Cyber Initiative (CCI), etc.
Required Qualifications:
- PhD degree in Electrical Engineering, Computer Engineering, or other related disciplines.
- Solid research record evidenced by publications in high-impact IEEE/ACM journals and/or top tier IEEE/ACM conferences.
- Ability to pursue independent research and demonstrate capability of mentoring students.
- Deep understanding of the fundamentals of wireless communication and the ability to apply solid theoretical understanding to real-world wireless systems.
- Strong background and experience in MIMO communications, including massive MIMO, multi-user MIMO, and distributed MIMO.
Preferred Qualifications
- Strong coding/programming skills (e.g., Python, C++, etc.) are a plus.
- Radio hardware and prototype system building experience (e.g., USRP, etc.) is a plus.
- Prior experience in applying machine learning to wireless physical layer processing is a plus.
- Familiar with integrated sensing and communications (ISAC) and related signal processing techniques is a plus.