Post Doctoral Research Scholar
Listed on 2025-12-31
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Science
Research Scientist
Position Overview
The primary purpose of this position is to support and advance research in the areas of integrated sensing and communication (ISAC), machine learning for radar and wireless systems, and software‑defined radio (SDR) based developments in sensing/communication areas. The postdoctoral fellow will play a key role in conducting innovative research, mentoring graduate students, disseminating findings through high‑impact publications, and supporting the preparation of competitive research proposals.
This position is critical to maintaining the lab’s momentum in federally funded research and expanding its impact in next‑generation radar and communication technologies.
Duties and responsibilities include:
- Designing and implementing algorithms for joint radar and communication system architectures, with an emphasis on integrated sensing and communication (ISAC).
- Applying and developing novel machine learning techniques for radar, remote sensing and wireless communication areas based on project targets.
- Prototyping signal processing algorithms using software‑defined radio (SDR) platforms (e.g., USRP, GNU Radio, MATLAB/Simulink).
- Leading and collaborating on journal and conference publications to disseminate research findings.
- Advising and mentoring graduate and undergraduate research students.
- Supporting the preparation and writing of new research proposals aligned with the lab’s mission and funding agency priorities.
- Participating in weekly research meetings and project reviews to coordinate progress and communicate results to project stakeholders.
- Supporting experiments over the NSF AERPAW Platform.
- Software‑Defined Radio (SDR) Prototyping:
Proficiency in implementing algorithms on SDR platforms such as USRP, using tools like GNU Radio, MATLAB/Simulink, or Python/C++ with real‑time signal capture and analysis. - Expertise in Signal processing and communications:
Deep understanding of fundamental signal processing and communication theory is needed. Additional knowledge on radar, remote sensing, array signal processing, beamforming, target detection/tracking, and spectrum sharing techniques are a plus. - Integrated Sensing and Communication (ISAC):
Familiarity with joint radar‑communication system concepts, co‑design strategies, and emerging research trends in dual‑function RF systems. - Machine Learning for Sensing and Communication:
Experience applying deep learning, compressed sensing, or statistical learning methods to problems in radar imaging, classification, channel estimation, or spectrum inference. - Scientific Communication and Writing:
Demonstrated ability to author high‑quality journal and conference papers, with strong technical writing and presentation skills. - Research Collaboration and Advising:
Experience working in interdisciplinary teams, mentoring graduate students, and contributing to proposal development in response to federal funding calls (e.g., NSF, DoD, NASA). - Programming and Simulation Tools:
Proficiency in Python, MATLAB, and common deep learning frameworks (e.g., PyTorch, Tensor Flow) is required.
Perks and Benefits
As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well‑being.
- Medical, Dental, Vision, Retirement and Leave
- Faculty and Staff Assistance Program
- Enhance your career with LEAD courses
- Attend non‑revenue generating sporting events for free
- Childcare benefits, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community
* Disclaimer:
Perks and Benefit eligibility is based on Part‑Time or Full‑Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered.
Monday – Friday
Recruitment DetailsJob Open Date: 07/03/2025
EEO StatementNC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified…
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