PhD in Electrical Engineering

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Looking for a PhD candidate to perform high quality research on Chipless RFID technology. The candidate will work on enhancing Chipless RFID identification via Artificial Intelligence (AI) modeling. The research will involve a wide range of domains, from data acquisition, to data preprocessing to model training and evaluation.

In this project the candidate will explore the use of different populations of Chipless RFID tags, as well as different signals to be used as input to the Machine Learning (ML) models. Data augmentation using different techniques will be explored to reduce data collection time as well as model generalization. Different ML models, including Deep Learning (DL), will be considered for tag identification at varying reading ranges.

Requirements :

The candidate is expected to have a strong background in signal processing and machine learning, as well as excellent oral and written English.

Requisites :

• Electrical Engineering degree or similar (e.g., Computer Science, Telecommunications Engineering)
• Background in Signal Processing and Machine Learning
• Excellent oral and written English

The candidate will join the Wireless Instrument (WIN) group at Tecnun, University of Navarra (Spain).

Please submit the following documents via¡Talent before July 31st :

Starting Date :

Seniority level

Seniority level

Associate

Employment type

Employment type

Full-time

Job function

Job function

Design and Engineering

Industries

Research Services

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