Deadline for receipt of applications: March 26, 2023 23:59 AoE (27 March 2023, 13:59h Europe/Madrid Time)
The candidate will work in the Global Computing Group, led by Antonio Fernandez Anta, and in the OppArch Lab, led by Vincenzo Mancuso. The members of the Global Computing Group work on distributed systems, and data acquisition and analysis. The members of the OppArch Lab focus on solutions for extremely high-performing opportunistic architectures for highly dense cellular networks and for infrastructure-less wireless services.
The candidate post-doc must be expert in machine learning, network protocols of the TCP/IP stack, and radio access technologies and protocols; he/she must also be proficient in data analysis with python and associated development tools, and skilled with data collection tools needed to gather experimental data from real network experiments.
The researcher will work in collaboration with researchers and students of the IMDEA Networks Institute, perform experimental research and develop cutting edge methods, based on interpretable machine learning, for the analysis and troubleshooting of wireless access networks and for data-driven analysis of communications protocols.
Equal Employment Opportunity
IMDEA Networks Institute aims to increase the proportion of women and therefore qualified female applicants are explicitly encouraged to apply. Until a balanced ratio of men and women has been achieved at the institute, preference will be given to women if applicants have similar qualifications. IMDEA Networks Institute actively promotes diversity and equal opportunities. Applicants are not to be discriminated against in personnel selection procedures on the grounds of gender, ethnicity, religion or ideology, age, sexual orientation (anti-discrimination). People with disabilities who have the relevant qualifications are expressly invited to apply
This position will be partially funded by the Ministry of Economic Affairs and Digital Transformation and the European Union-NextGenerationEU through the UNICO-5G R&D Program of the Spanish Recovery, Transformation and Resilience Plan.
This position will be partially funded by the project SocialProbing: “Técnicas de análisis y recopilación de datos escalables y asequibles para el sondeo social” with reference No. TED2021-131264B-I00, funded by MCIN/AEI /10.13039/501100011033 and the European Union-NextGenerationEU/PRTR.
This position can be cofounded by the ESF only during those periods in which the contract is not funded by other European funds that may be incompatible with the ESF.