Wireless AI Foundation Model
The success of foundation models in NLP and vision inspires opportunities in wireless communications. This project aims at extending the foundation model paradigm to wireless communications, developing a universal feature extractor capable of addressing diverse tasks in wireless communication and sensing.
Tasks to be performed:
The tasks include leveraging advanced AI architectures and self-supervised learning to train models capable of extracting generalized features without the need for labeled data, solving proxy tasks such as reconstructing missing channel measurements or predicting channel states across temporal and spatial domains. The approach will build on recent successes in computer vision and natural language processing, adapting these methodologies to the unique challenges of wireless communications.
Group and complement Group 3 + Level u
Dedication and working hours: Full time (35 h/week)
Planned remuneration approx: 29.979,98 € gross per year
Financing fund: Project PRESP03625, ending on 8/31/2028
PID2024-156488OBI00MICIU/AEI/10.13039/501100011033/FEDER, UE funded by MICIU/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”
Requirements:
High school-FP2.
The expected start date is July 1st, 2026, the job is in Barcelona
Selection criteria:
The selection of the candidates will be made through evaluation of the curriculum and, where appropriate, with the carrying out a test and/or interview. Valuation will be as follows:
Academic Training (0-30 points)
Academic qualifications above the required level.
MSc degree in telecommunications or related field.
Strong background in wireless communications, mathematics, and machine learning, programming skills.
Knowledge of state-of-the-art foundation models for wireless channel representation.
Other merits (0-20 points):
Fluent oral and written English.
Enthusiastic, hardworking, positive person.
The minimum score to pass the selection process is 80 points. The candidate with the highest score in the selection process will be offered the job.
BASIC INFORMATION ON DATA PROTECTION:
Data Controller: Universitat Pompeu Fabra
Purpose: Research support staff recruitment
Rights: You can acces your data, request rectification, deletion and portability, you may object to their processing and request their limitation
Additional information:
Further detailed information is available on the website: https://rat.upf.edu/ca/ll040
UPF promotes a diverse and inclusive environment and welcomes applicants regardless of age, disability, gender, nationality, race, religion or sexual orientation.
