DC8

The primary objectives include exploring and applying appropriate ML techniques for designing compact ISAC systems based on 5G signals and other emerging waveforms anticipated for 6G. Additionally, leveraging ML for the design of novel and adaptable waveforms capable of addressing both communication and sensing requirements. Finally, developing dynamic algorithms based on ML techniques to address various scenarios. The research aims to develop algorithms that are simultaneously flexible and of low complexity to enhance current designs. Given the emphasis on flexibility as a key design approach, these algorithms should adapt to diverse scenarios and use cases, outperforming current designs tailored for specific scenarios and demonstrating improved performance in varying conditions. The study envisions multiple use cases with applied ML techniques, expecting validation through extensive simulations. Furthermore, the research anticipates providing guidelines for applying these techniques to other use cases and scenarios. The most promising techniques identified will be implemented in a demonstrator.

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 Spain 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 Spain.
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 an academic institution officially recognized by the Spanish government, provided that at least 300 ECTS credits have been passed in these two cycles as a whole, with at least 60 ECTS being from the Master’s level
6. Knowledge of wireless communications physical layer techniques, signal processing, and machine learning is necessary.
7. Proficiency in programming and simulating wireless communication systems, especially with Matlab and/or Python.