"Postdoctoral Fellow (PREP0003748)"

General Description

Salary: $84,000-$89,000 a year

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.

Research Title:

Modeling aggregate radio frequency emissions from outdoor 4G and 5G cellular deployments

The work will entail:

Conduct research comparing models of received aggregate radio frequency (RF) emissions from 4G and 5G cellular deployments. Examine the effects of different path loss and clutter models on individual emitter contributions and aggregate emission calculations. Compare model predictions to field measurements from ongoing NIST projects.

Key responsibilities will include but are not limited to:

• Develop and implement algorithms and models for aggregate RF emissions using Python and/or MATLAB.
• Process field measurements and compare with modeled results using various simulation tools.
• Collaborate with other researchers and engineers to advance the state-of-the-art in aggregate emissions modelling and analysis.
• Present research findings in peer-reviewed publications and presentations.

Qualifications

• U.S. Citizenship
• Ph.D. in Electrical Engineering, Computer Science, or a related field received within the last 5 years.
• Strong background in electromagnetic propagation.
• Strong background in wireless communication systems and technologies.
• Proficiency in programming languages such as Python and MATLAB.
• Ability to collaborate effectively with research professionals and work independently.
• Excellent analytical and problem-solving skills.
• Strong oral and written communication skills.
• Preferred: Strong background in signal processing and statistics.
• Preferred: Track record of peer-reviewed publications.

Application Instructions

Please upload the following with your application:

• CV/Resume (Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume: Self portraits, Phone number, Home address/Country, Citizenship status, Languages spoken, Sex/Gender.)