Short-term Research Project on Network Data Representation

Job description

Telefonica Research is hiring for a short-term research project focused on Network Data Representation. 
 
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 cutting edge solutions for network flow trace generator. During this short-term project, which can last up to 6 months, the researcher will be responsible for designing and implementing deep learning solutions that can capture the dynamic characteristics of network traffic.
 
Key Responsibilities:

·  Design and develop models to generate realistic network data, with high fidelity (e.g., capture spatio-temporal correlations in multivariate time series data, or correlations in tabular network data).
·  Conduct experiments to evaluate the accuracy and fidelity of network data generation models.
·  Implement state-of-the-art techniques such as differential privacy and homomorphic encryption to ensure user privacy.
·  Stay up to date with industry trends and developments related to generative deep learning models and make recommendations for future improvements.
·  Write technical reports and documentation to communicate results to internal and external stakeholders.
 

Qualifications:

·  PhD (or close to completion) in Computer Science, Electrical Engineering, or related field.
·  Very good record of research output (e.g., publications in top conferences and journals).
·  Strong experience in data science, and machine learning applied to networks, and ideally some experience with generative deep learning.
·  Knowledge of network data characteristics, networking architecture, traffic models.
·  Strong programming skills in languages such as Python, and Deep Learning libraries such as PyTorch and TensorFlow.
·  Experience with large-scale data processing tools (e.g., Spark) is a plus.
·  Excellent analytical and problem-solving skills.
·  Strong communication and interpersonal skills to collaborate with cross-functional teams.

 

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You join almost 100 years of history, a team of 106 nationalities present in more than 35 countries. You join a team that works to connect people wherever they are, without borders. A team that is leading the digital revolution with the enthusiasm of the first day in all our businesses, creating the best digital ecosystem for our clients: Network, IoT, Cloud, Cybersecurity, Innovation, etc. At Telefónica you have everything you need to create the best version of yourself. We need people like you to join this great challenge, who want to create the Telefónica of tomorrow.

 

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