Post Doctoral Research Scholar
Job Description
Posting Number
PG191501PDPosition Number
00111529Position Type
Post DocDepartment ID
140401 - Electrical & Computer EngineeringDepartment
140401 - Electrical & Computer EngineeringJob City & State
Raleigh, NCEssential Job Duties
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:
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
Wolfpack Perks and Benefits
As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being.
What we offer:
- 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.
Attain Work-life balance with our 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.
Work Schedule
Monday - FridayDepartment Required Skills
- 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, TensorFlow) are required.
Preferred Years Experience, Skills, Training, Education
N/A
Required License or Certification
N/A
Valid NC Driver's License required?
NoCommercial Driver's License Required?
NoAnticipated Hiring Range
$59,000 to $ 65,000Job Open Date
07/03/2025Quick Link
https://jobs.ncsu.edu/postings/220702EEO
NC 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 applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-513-0574 to speak with a representative of the Office of Equal Opportunity.
If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.
Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.
NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.
If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.
Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.
NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.
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