Scholarships

Post-Doctoral Fellowship in Smart Antenna Systems

Knowledge Area: Engineering

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

Theme and Research Area: Smart Antennas, Statistics, Probability, and Machine Learning.

Scholarship duration: The scholarship spans an initial 12-month period, with the potential for extension by another 12 months based on the fellow's achievements and funding availability.

Number of Positions: 2

Principal Investigators:

Rausley Adriano Amaral de Souza
Felipe Augusto Pereira de Figueiredo

Unit/Institution: National Telecommunications Institute (Inatel)

Application Deadline: 11/10/2024

Location: Av. João de Camargo, 510, Santa Rita do Sapucaí (MG)

Email for Applications:

Summary

A postdoctoral position is available to work at the 5G and 6G Network Competence Center at the Wireless 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.

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.

Responsibilities:

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.

Candidates should email rausley@inatel.br and felipe.figueiredo@inatel.br with the following phrase in the Subject field: “Post-doc position - Smart Antennas.” Please attach the CV containing contact information, academic background (including the doctoral thesis title, advisor, university, and defense date), a list of the last 5 articles published in journals, a link to the Lattes curriculum, and professional experience.

The position is open to Brazilians and foreigners. The selected candidate will receive a Postdoctoral Fellowship from R$10.000,00 up to R$12.000,00 per month, depending on the curriculum analysis.

Post-Doctoral Scholarship Selection Process - Metasurfaces

We are currently seeking a postdoctoral researcher to develop flexible Reconfigurable Intelligent Surfaces (RIS) with dynamic reconfiguration enabled by electrical and mechanical effects, for 5G/6G mobile communication networks in applications spanning spectral bands from microwaves to THz. If you are a passionate researcher dedicated to innovative solutions, we invite you to join our team.

Theme and Research Area: Applied Eletromagnetism; Reconfigurable Metasurfaces; Reconfigurable Intelligent Surfaces.

Scholarship duration: The scholarship spans an initial 12-month period, with the potential for extension by another 12 months based on the fellow's achievements and funding availability.

Scholarship Value: A monthly stipend ranging from BRL 10,000 to BRL 12,000, subject to curriculum evaluation.

Selection criteria: Candidates must demonstrate a strong academic publication record in high-impact journals (IF > 4), possess strong expertise in applied electromagnetism, telecommunications engineering, simulation tools, and have experience in supervising students. For further details about Inatel's post-graduation program, please visit www.inatel.br/mestrado-doutorado/en.

Required Documents: CV including a list of publications, names of three references, and must have a curriculum registered on the Lattes platform. To register a new curriculum, please visit: https://wwws.cnpq.br/cvlattesweb/pkg_cv_estr.inicio.

Required Knowledge:

Proficiency in computational electromagnetism utilizing COMSOL Multiphysics, HFSS, or CST Studio;
Aptitude in designing metasurfaces for telecommunication applications;
Knowledge in Arduino, Raspberry Pi, and FPGA for RIS.

Desired knowledge:

Familiarity with metasurface fabrication techniques;
Familiarity with electronic components for metasurfaces reconfigurability;
Familiarity in electronic and/or printed electronic devices;
Familiarity with machine-learning algorithms;
Experience in RF device characterization.

Application Deadline: Applications should be sent until 2024/09/15 to william.orivaldo@inatel.br. Please, use the following email subject: Post-doctoral candidate: Metasurfaces.

Post-Doctoral Scholarship Selection Process - WET_STAR-RIS_Optimization

The 5G and 6G Network Competence Center, xGMobile, is hiring a talented post-doc fellow to lead the development of new solutions based on artificial intelligence algorithms for the optimization of wireless energy transfer systems assisted by STAR-RIS. The goal is to develop and validate emerging solutions based on artificial intelligence that allow the uninterrupted operation of a massive number of IoT devices in rural scenarios.

Theme and Research Area

Project Title: Optimization of Wireless Energy Transfer Systems assisted by STAR-RIS.

Field of Research: Artificial Intelligence, Wireless Energy Transfer, Wireless Communications.

Scholarship duration: The scholarship spans an initial period of 12 months, with the possibility of 12 additional months based on the researcher’s achievements and funding availability.

Scholarship Value: The selected candidate will receive a Postdoctoral Fellowship stipend ranging from R$ 9.000,00 up to R$ 12.000,00 per month, depending on the curriculum analysis, and a Technical Reserve equivalent to 10% of the annual fellowship value to cover unforeseen expenses directly related to the research activity.

Required Documents: CV including a list of publications, a copy of the doctoral thesis, names and contacts (telephone and email) of three references, registered Lattes CV (https://wwws.cnpq.br/cvlattesweb/pkg_cv_estr.inicio), and academic transcripts.

Desired Knowledge:

Solid knowledge in digital and wireless communication, physical layer of wireless communication systems, multicarrier waveforms, MIMO, orthogonal waveforms, multiple access, and channel estimation;
Numerical Simulation Environments: Matlab and Mathematica;
Programming Languages: Python, C++, and C;
Intelligent Artificial Optimization techniques;
Machine Learning;
5G, 6G, IoT, and embedded systems;
Demonstrated relevant academic production in high-impact scientific journals;
Advanced English proficiency.

Application Deadline: Applications should be sent until 2024/05/31 to victoria.souto@inatel.br. Please, use the following email subject: Post-doc position: WET_STAR-RIS_Optimization.

Post-Doctoral Scholarship Selection Process - Edge ML

The 5G and 6G Network Competence Center, xGMobile, is hiring a talented post-doc fellow to lead the research on optimizing artificial intelligence algorithms for execution on edge and embedded devices with limited computational resources. The goal is to reduce such algorithms' computational complexity, latency, memory usage, and energy consumption when applied in IoT, 5G, and 6G networks and devices.

Theme and Research Area

Project Title: Resource-aware Machine Learning Model Optimization for Edge and Embedded Computing.

Field of Research: Artificial Intelligence and Wireless Communications.

Scholarship duration: The scholarship spans an initial period of 12 months, with the possibility of 12 additional months based on the researcher’s achievements and funding availability.

Scholarship Value: The selected candidate will receive a Postdoctoral Fellowship stipend ranging from R$ 9.000,00 up to R$ 12.000,00 per month, depending on the curriculum analysis, and a Technical Reserve equivalent to 10% of the annual fellowship value to cover unforeseen expenses directly related to the research activity.

Required Documents: CV including a list of publications, a copy of the doctoral thesis, names and contacts (telephone and email) of three references, registered Lattes CV (https://wwws.cnpq.br/cvlattesweb/pkg_cv_estr.inicio), and academic transcripts.

Desired Knowledge:

Solid knowledge in digital and wireless communication, physical layer of mobile communication systems, propagation models, multi-carrier waveforms, MIMO, orthogonal waveforms, multiple access, channel estimation;
Numerical simulation environments: Matlab and Mathematica;
Machine Learning;
ML Frameworks: TensorFlow, TensorFlow Lite, and PyTorch;
Programming Languages: Python, C++, and C;
5G, 6G, and IoT Networks;
Implementation of algorithms for software-defined radio using the GNU Radio platform;
Demonstrated relevant academic production in high-impact scientific journals;
Advanced English proficiency.

Application Deadline: Applications should be sent until 2024/03/27 to rausley@inatel.br use the following email subject: Post-doc position: EdgeML.

Post-Doctoral Scholarship Selection Process - Embedded ML

The 5G and 6G Network Competence Center, xGMobile, is hiring a talented post-doc fellow to lead the research on optimizing artificial intelligence algorithms for execution on edge and embedded devices with limited computational resources. The goal is to reduce such algorithms' computational complexity, latency, memory usage, and energy consumption when applied in IoT, 5G, and 6G networks and devices.

Theme and Research Area

Project Title: Resource-aware Machine Learning Model Optimization for Edge and Embedded Computing.

Field of Research: Artificial Intelligence, IoT, and Embedded Systems.

Scholarship duration: The scholarship spans an initial period of 12 months, with the possibility of 12 additional months based on the researcher’s achievements and funding availability.

Scholarship Value: The selected candidate will receive a Postdoctoral Fellowship stipend ranging from R$ 9.000,00 up to R$ 12.000,00 per month, depending on the curriculum analysis, and a Technical Reserve equivalent to 10% of the annual fellowship value to cover unforeseen expenses directly related to the research activity.

Required Documents: CV including a list of publications, a copy of the doctoral thesis, names and contacts (telephone and email) of three references, registered Lattes CV (https://wwws.cnpq.br/cvlattesweb/pkg_cv_estr.inicio), and academic transcripts.

Desired Knowledge:

Machine Learning and Computer Vision
ML Frameworks: TensorFlow, TensorFlow Lite, and PyTorch;
Programming Languages: Python, C++, C, and Matlab;
Hardware Description Languages: Verilog and VHDL;
5G, 6G, IoT, and embedded systems;
Digital and wireless communication, physical layer of wireless communication systems, multicarrier waveforms, MIMO, orthogonal waveforms, multiple access, error-correcting codes, channel estimation, and equalization;
Implementation of algorithms for software-defined radio using the GNU Radio platform;
Demonstrated relevant academic production in high-impact scientific journals;
Advanced English proficiency.

Application Deadline: Applications should be sent until 2024/03/27 to felipe.figueiredo@inatel.br. Please, use the following email subject: Post-doc position: EmbeddedML.

Post-Doctoral Scholarship Selection Process

Theme and research area: We are currently seeking two postdoctoral researchers to spearhead the development of flexible and reconfigurable metasurfaces tailored for the dynamic landscape of future wireless communications. If you possess a fervent interest in pioneering advancements at the intersection of electromagnetism and wireless communication technologies, we invite you to join our team.

Theme and research area: Applied electromagnetism; Metasurfaces and Reflective Intelligent Surfaces.

Scholarship value: A monthly stipend ranging from BRL 10,000 to BRL 12,000, subject to curriculum evaluation.

Scholarship duration: Each scholarship spans an initial 12-month period, with the potential for extension by another 12 months based on the fellow's achievements and funding availability.

Location: Inatel

Selection criteria: Candidates are required to demonstrate a robust academic publication history in reputable journals (with impact factors exceeding 4) and possess strong expertise in electromagnetism.

Required documents: CV including a list of publications and names of three references, registered Lattes CV (https://wwws.cnpq.br/cvlattesweb/pkg_cv_estr.inicio) , and academic transcripts (graduation, master's and Ph.D.).

Desired Knowledge:

Proficiency in computational electromagnetism utilizing COMSOL Multiphysics, Lumerical Research, HFSS, and CST Studio.
Previous involvement in computational methodologies for examining non-linear electromagnetic wave phenomena, such as harmonic generation and/or soliton wave propagation.
Aptitude in designing metasurfaces for telecommunications applications.
Familiarity with metasurface fabrication techniques including screen-printing, thermal evaporation, spray deposition, or similar methods.
Expertise in electronic and/or printed electronic devices.
Experience in RF device characterization.
Competence in reconfigurable metasurfaces.
Knowledge of space-time-modulated metasurfaces.

Application deadline: 2024/08/31 via the e-mail:jrmejia@inatel.br

Use the following e-mail subject: Post-Doctoral Candidate: Metasurfaces

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WAI Lab

Post-Doctoral Fellowship in Smart Antenna Systems

Summary

xGMobile

Post-Doctoral Scholarship Selection Process - Metasurfaces

Post-Doctoral Scholarship Selection Process - WET_STAR-RIS_Optimization

Post-Doctoral Scholarship Selection Process - Edge ML

Post-Doctoral Scholarship Selection Process - Embedded ML

Others

Post-Doctoral Scholarship Selection Process