Specialist support technician
Role details
Job location
Tech stack
Requirements
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., 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:
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Academic Training (0-30 points) o Academic qualifications above the required level. o MSc degree in telecommunications or related field.
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Other professional training and experience, adequacy to the proposed profile (0-50 points):
o
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): o
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.