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Telefonica Research is hiring for a short-term Research Project focused on Experimentation with RF tools and RIS deployment.
Telefonica Research is a leading industrial research lab based in Spain (Barcelona and Madrid). At Telefonica Research, we follow an open research model in collaboration with Universities and other research institutions, promoting the dissemination of scientific results both through publications in top-tier peer-reviewed international journals and conferences and technology transfer. Our multi-disciplinary and international team counts several full-time researchers, holding PhD degrees in various disciplines of computer science and electrical engineering.
We are looking for a researcher (close to finishing their PhD or in early stages after the PhD) to join our team of experts who are working on Radio Coverage Characterization. During this short-term project, which can last up to 6 months, the researcher will be responsible for exploring a deep learning approach for advanced analytics of Radio Coverage maps.
Key Responsibilities:
- Design and execute experimentation.
- Assist in the design and implementation of a measurement methodology for assessing the Radio Coverage in a scenario.
- Implement advanced deep learning techniques for Radio Coverage calibration and characterization.
- Write technical reports and documentation to communicate results to internal and external stakeholders.
- Analyse and provide technical insights on the impact of emerging technologies and requirements on the radio mobile networks.
Qualifications:
- PhD (or close to completion) in Computer Science, Electrical Engineering, or related field.
- Strong understanding of telecommunications and 5G networks, with a focus on Radio Coverage evaluation, radio propagation modelling.
- Strong experience in (generative) deep learning and machine learning applied to networks.
- Deep technical knowledge on Radio Coverage evaluation approaches, past experience with ray tracing modules such as Sionna RT is a plus.
- Deep data analytics knowledge (statistical tools, methods/processes to analyse and correlate data).
- Strong programming skills in languages such as Python, and Deep Learning libraries such as PyTorch and TensorFlow.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills to collaborate with cross-functional teams.
#UnidadesGlobales #CDO
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