Windmill - ESR12: Anticipatory Techniques For Wireless Network Optimisation
Dal 11.03.2019 al 19.04.2019
Full-time 36 months Early Stage Researchers (ESRs)/PhD student positions part of WindMill project (Integrating WIreless Communication Engineering and MachIne Learning). The project offers an excellent research and training programme:
- Opportunity to join a network of leading Universities, research institutes and companies in the field of wireless communications and machine learning.
- The ESR is primarily hosted by UniPD with stays in partner institutions (secondments).
- Training programme including regular summer and winter schools to build technical skills as well as soft skills.
- The ESRs will monthly receive a Living Allowance (3.413,88 euros), a Mobility Allowance (600 euros) and, where applicable, a Family Allowance (according to the Marie Curie-ITN rules). The above-mentioned allowances are gross EU contribution to the salary costs of the researcher, consequently the net salary results from deducting all compulsory (employer/employee) social security contributions from the gross amounts.
Objectives: (1) Identify critical context information for anticipatory performance optimisation; (2) Study ML techniques to predict the context information; (3) Develop anticipatory optimisation techniques; (4) Assess the impact of anticipation accuracy, and resilience to data corruption.
Expected Results: (1) Identify ML algorithms to predict the evolution of key context information (e.g., channel gain, traffic generated by a source, nodes mobility); (2) Develop optimisation techniques based on such predictions. Performance gain to be proved through simulations.
for more information: windmill.dei.unipd.it