Fully funded PhD position in Energy Harvesting for 5G
A fully funded Ph.D. position based at Toshiba Research Europe's Telecommunications Research Laboratory in Bristol, United Kingdom is now available. The successful candidate will register as a Ph.D.
student at Imperial College London, to be jointly supervised by Dr.
Deniz Gunduz. The position is one of 14 positions in the H2020 Marie Sklodowska Curie ITN project SCAVENGE.
Description: this project explores how the energy harvesting cellular network can be incorporated into existing radio access technologies (RAT), to allow the use of energy harvesting technology within a cross-RAT framework. It is widely accepted that, similar to previous generations, 5G will be an evolution of the current network architectures; and hence, in addition to allowing the introduction of new technologies and services, it will also enhance and support multiple existing RATs, such as GSM, HSPA+, LTE/ LTE-A, and even WiFi.
Expected Results: Development of physical/MAC/network layer techniques to balance energy consumption in heterogeneous network deployments where some of the access points/base stations rely on intermittent power sources for their operations.
Mobility Schedule: The ESR will be mainly at Toshiba Research Lab.
After 20 months, the candidate will join Imperial College London for
10 months to develop mathematical model that will allow a quantitative study and optimization of interactions and trade-offs among co-existing multiple RATs in the case of energy harvesting terminals under the supervision of Dr. Deniz Gunduz.
Requirements of the candidate:
-At the time of recruitment, the applicant must not have lived in UK for more than 12 months in the previous 36 months -A Master degree in Telecommunications, Computer Science or equivalent -Once selected by the SCAVENGE consortium for the ESR positions, the applicants must apply for PhD studentship at Imperial College London.
-Knowledge of wireless communications
-Ability and motivation to conduct high-quality research, including publishing the results in relevant venues -Strong programming skills (e.g. MATLAB, C/C++).
-Knowledge of Optimization Theory is an advantage.
-Very good communication skills in oral and written English.
-Open-mindedness, strong integration skills and team spirit.
To apply for the position or others in the SCAVENGE project, please go to http://www.scavenge.eu/index.php/job-applications/.