This document summarizes a PhD fellowship opportunity titled "Backscattering-based, linear and nonlinear RF identification and sensing systems for IoT technologies," offered by the Czech Technical University in Prague. This position is part of the Pictus PhD Fellowship Programme and is structured as a full-time, temporary contract. The application deadline is set for 31 May 2026, and the anticipated start date for the role is 1 September 2026.
The opportunity is situated within the Department of Electromagnetic Field at the Czech Technical University in Prague, falling under the research field of Technology » Computer technology. This role is classified as a First Stage Researcher (R1) and is specifically for PhD Positions. The fellowship is funded through the Horizon Europe - MSCA framework, indicating a high level of European research backing. Candidates are expected to prepare their own detailed research proposal based on the program's scope.
Applicants must submit several key documents. These include a detailed research proposal, a curriculum vitae, and other supporting materials. The application process requires careful attention to the specific guidelines provided by the institution. Candidates are encouraged to review the provided guidelines thoroughly before submitting their application package.
The compensation package is structured to support the successful completion of the research project. Details regarding the salary and benefits are provided within the official job description. Candidates should inquire about the full compensation structure during the interview process to ensure complete understanding of the role's financial aspects.
The primary deadline for submission is crucial for consideration. Interested candidates should note the application closing date to avoid missing the opportunity. For any clarifications regarding the application process or the research scope, direct contact with the department coordinator is recommended.
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Submission Deadline
May 31, 2026
Project Start
Sep 1, 2026
Project Duration
48 Months
Collaboration
International collaboration
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