PhD Project: AI-Driven Power Amplifier Linearization on FPGA for 6G and Industrial Wireless

24 Jun 2026
Job Information

Organisation/Company

Technological University Dublin

Department

Directorate of Research, Enterprise & Innovation Services

Research Field

Engineering » Electronic engineering

Researcher Profile

First Stage Researcher (R1)

Positions

PhD Positions

Application Deadline

24 Dec 2026 - 17:13 (Europe/Dublin)

Country

Ireland

Type of Contract

Temporary

Job Status

Negotiable

Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The next generation of wireless communication systems, including 6G networks and Industrial Wireless technologies, will require highly efficient, intelligent, and energy-aware radio frequency (RF) hardware capable of supporting ultra-high data rates, massive connectivity, and low-latency communication. Power amplifiers (PAs) are among the most critical and power-hungry components in wireless transmitters. However, their nonlinear behaviour can introduce signal distortion, reduce spectral efficiency, and increase energy consumption.
This PhD project aims to investigate Artificial Intelligence (AI)-driven techniques for real-time power amplifier linearization using Field Programmable Gate Array (FPGA) platforms. The research will focus on the development of intelligent Digital Predistortion (DPD) algorithms capable of compensating for nonlinear PA characteristics under dynamic operating conditions. Advanced machine learning and neural network approaches will be explored to improve linearization performance while reducing computational complexity and power consumption.
The project will involve the modelling and characterization of RF power amplifiers, development of AI-based linearization algorithms, FPGA implementation and optimisation, and performance evaluation using modern wireless communication signals relevant to 5G, 6G, and industrial wireless applications. The research may also investigate adaptive and self-learning architectures capable of operating in changing environments and supporting future cognitive radio systems.
This project aligns with global research priorities in next-generation communications, energy-efficient electronics, intelligent RF systems, and industrial digitalisation. The outcomes are expected to contribute to the development of greener wireless networks and advanced industrial communication infrastructures.
The successful candidate will gain expertise in RF engineering, Artificial Intelligence, FPGA design, digital signal processing, wireless communications, and embedded systems. The project is expected to generate multiple high-quality journal and conference publications and provide opportunities for collaboration with academic and industrial research partners.

Supervisor

https://www.tudublin.ie/explore/faculties-and-schools/engineering-built-environment/electrical-and-electronic-engineering/people/academic-staff/somayeh-mohammady.php

Self Funded (Scholarship not available. Fees & Materials to be paid by the student.)

 

If you are interested in submitting an application for this project, please complete an Expression of Interest.

 https://forms.office.com/e/0hCcrv2Gkp

 

Where to apply

Website

https://forms.office.com/e/0hCcrv2Gkp

Requirements

Research Field

Engineering » Electronic engineering

Education Level

Bachelor Degree or equivalent

Skills/Qualifications

Applicants should hold a minimum of a Bachelor's degree or a Master's degree in Electronic Engineering, Electrical Engineering, Telecommunications Engineering, Computer Engineering, Embedded Systems, Mechatronics, Physics, or a closely related discipline.
The ideal candidate will have an interest in one or more of the following areas:
Wireless Communication Systems
RF and Microwave Engineering
5G and 6G Technologies
Digital Signal Processing (DSP)
Artificial Intelligence and Machine Learning
FPGA and Hardware Acceleration
Embedded Systems Design
Software Defined Radio (SDR)
Power Amplifier Modelling and Linearization

Specific Requirements

Experience in one or more of the following areas would be advantageous but is not essential:
MATLAB, Python, C/C++, or VHDL/Verilog programming
FPGA development platforms (e.g., Xilinx, Intel/Altera)
Digital Predistortion (DPD) techniques
RF measurement and testing
Wireless communication system simulation
Machine learning frameworks such as TensorFlow or PyTorch
Signal processing and communication theory
The successful candidate should demonstrate:
Strong mathematical, analytical, and problem-solving skills.
A solid foundation in engineering principles and quantitative analysis.
The ability to work independently and as part of a multidisciplinary research team.
Good written and verbal communication skills in English.
A strong motivation to conduct innovative research and publish in leading international journals and conferences.
This project is particularly suitable for candidates seeking careers in wireless communications, RF and microwave engineering, semiconductor technologies, FPGA and embedded systems design, Artificial Intelligence for communications, and next-generation 6G network development. The interdisciplinary nature of the project provides an excellent opportunity to develop expertise at the intersection of AI, digital signal processing, hardware acceleration, and advanced wireless technologies.
Candidates with backgrounds in either Engineering, Computing, Physics, or Applied Mathematics are encouraged to apply.

Languages

ENGLISH

Level

Good

Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

TU Dublin

Country

Ireland

City

Dublin

Geofield

Contact

City

Dublin

Website

http://www.tudublin.ie/phd

Street

TU Dublin - Grangegorman

E-Mail

[email protected]

STATUS: EXPIRED

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