Python ofertas em Emirados Árabes Unidos

A postdoctoral position is available to work at the 5G and 6G Network Competence Center at theWireless and Artificial Intelligence Laboratory (WAI Lab), where the researcher will analyze the performance of smart antenna systems.

This project aims to develop tools to model and evaluate the performance of reconfigurable intelligent surfaces (RIS), fluid antenna systems (FAS), and movable antennas, overcoming the limitations of current methods that are costly or imprecise. The project aims to define performance limits and scaling laws for these systems in various scenarios, optimizing their efficiency in 5G and 6G networks. The findings will provide new strategies to enhance wireless communications, signal processing, and optimization of next-generation networks.

Knowledge Area: Engineering

Project Title: Statistical Analysis and Performance Evaluation for Advanced Smart Antenna Systems

Field of Research: Smart Antennas, Statistics, Probability, and Machine Learning.

Principal Investigators:

·Prof. Rausley Adriano Amaral de Souza

·Prof. Felipe Augusto Pereira de Figueiredo

• Conducting cutting-edge research;
• Drafting scientific articles, patents, and research reports;
• Participation in project meetings and scientific events;
• Assisting in the guidance of undergraduate, master's, and doctoral students;
• Collaborating with other project members, taking on a leadership role in defining scientific research directions.

Requirements:

• Ph.D. degree in electrical engineering, telecommunications, computer science, or a related field;
• Maximum time since obtaining the Ph.D.: 7 years;
• Experience in smart antennas, statistics, probability, and machine learning.

Desired Skills:

• Statistics and Probability: Proficiency in statistical methods and probability theory.
• Antennas and Wireless Communication: Expertise in fluid, reconfigurable, and movable antennas; digital and wireless communication; physical layer technologies; multicarrier and orthogonal waveforms; MIMO systems; multiple access techniques; error-correcting codes; channel estimation; and equalization.
• Technologies: Familiarity with 5G, 6G, and IoT technologies.
• Programming Languages: Proficiency in Python, C++, C, MATLAB, and Mathematica.
• Machine Learning: Strong understanding of machine learning concepts and applications.
• Academic Contribution: Demonstrated relevant academic publications in high-impact scientific journals.
• Language Skills: Advanced proficiency in English.

The position is open to Brazilians and foreigners. The selected candidate will receive a Postdoctoral Fellowship from R$10.000,00 per month.

• Schedule of activities: Monday to Friday, from 8 am to 12 pm and from 1:30 pm to 5:30 pm.

• Place of activities: Inatel Campus, in Santa Rita do Sapucaí - MG - Brazil.