DC5

The research aims for an advanced intelligent sensing system, integrating reconfigurable antennas with space-time metasurface technology. Objectives include optimizing antennas for enhanced beamforming, frequency agility, and target recognition in dynamic environments. ML/DL algorithms will identify multiple targets in real-time, adapting to changing dynamics. Experimental validation will assess system performance, with findings shared through scholarly outlets for insights in intelligent sensing and target recognition.

1. The candidate must not have been awarded a PhD Degree.
2. A Master’s Degree is required in Electrical Engineering, Computer Science, Telecommunications, or a related field.
3. Candidates must not have resided in Cyprus for more than 12 months within the three years preceding their employment start date. Additionally, for the remainder of this period, candidates must provide evidence of residing outside Cyprus.
4. Proficiency in written and spoken English is required and must be formally demonstrated.
5. Both the Bachelor’s and Master’s Degrees must be awarded by academic institutions officially recognized by the Hellenic National Academic Recognition and Information Centre (Hellenic NARIC, see link: https://www.doatap.gr/home_english/organization_english/). Official recognition is automatically granted if the Degrees have been awarded by academic institutions listed in the following Hellenic NARIC registry: https://www.doatap.gr/anagnorish/ethniko-mitroo-anagnorismenon-idrymaton-anotatis-ekpaidefsis-tis-allodapis/ . If the awarding institution of either the Bachelor’s or Master’s Degree (or both) is not included in the aforementioned registry, an official recognition certificate for the respective Degree(s) is required from Hellenic NARIC.
6. Knowledge of machine learning and metasurface modelling using HFSS or CST is necessary.