DC6

The research targets metasurface-enhanced smart sensor networks for precise environmental threat detection. Objectives include designing intelligent sensor nodes using metasurface tech to enhance sensitivity and selectivity in detecting environmental threats. The study focuses on integrating metasurface-based sensors into dynamic networks for real-time data analysis. Advanced ML/DL algorithms improve threat detection accuracy. The research also explores energy-efficient communication protocols for optimal performance in remote environments.

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 Italy 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 Italy.
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.