How To Apply
We are especially interested in receiving applications from members of groups that have been historically underrepresented within related fields.
Candidate Qualifications
Candidates must have research experience and a strong background in at least one of the following areas: data analytics, data toolchain platform, high-frequency devices and circuits, machine learning, signal processing, wireless networks, and spectrum allocation and resource management. Candidates interested in curriculum development, outreach, or with additional expertise in blockchain, data management, economics, and spectrum policy will be given special consideration.
The application package must include a cover letter, CV, and up to three representative papers. The cover letter must:
- include names and contact information of at least three references,
- identify the candidate’s areas of core interest among the following categories related to spectrum use along with preferred advisor(s) and host institution(s):
- Radio and network technologies (Notre Dame, Olin College, NYU, Northwestern, SUNY-Albany, UCLA, CU-Boulder)
- Active and passive sensing (MIT-Haystack Observatory, National Radio Astronomy Observatory, CU-Boulder, UCLA, UPRM, UVA)
- Data science and machine learning (UCLA, Northwestern, Stanford, SUNY-Albany, UVA)
- Distributed software systems and networking (UC Berkeley, Stanford)
- Economics and policy (Clemson, Northwestern, University of Pittsburgh)
Submit Your Package
Please email your application materials to apply@spectrumx.org. The application package will be reviewed by relevant SpectrumX investigator(s), and transferred to the hosting institution for further review and processing. Hiring decisions will be made by interested SpectrumX investigators with Fellows ultimately hired by the respective host institutions (not directly by SpectrumX).