1. PhD Studentship on Digital Compensation Algorithms for Wideband Wireless Transmitters in 5G Cellular Communications
With the rapid development of digital integrated circuit technology in recent decades, modern CMOS technologies now can provide digital signal processing (DSP) capabilities at high integration density, low energy consumption and low operational cost. Applying digital signal processing to enhance the performance of “irreplaceable” and performance-limiting analogue building blocks has become a new design paradigm. For instance, digital predistortion (DPD) has become one of essential elements in the digital baseband to compensate the distortions induced by analogue power amplifiers (PAs) at RF frequencies in high power cellular base stations today. Digital assisted analogue design will play an even more critical part in fulfilling future system requirements. In this project, we will focus on developing advanced signal processing algorithms (using FPGA/SoCs) to enable highly power efficient and cost effective digital-assisted reconfigurable RF front-end architectures for 5G wireless communications.
The project is fully funded by CONNECT
starting in September 2017 for four years. The research will be conducted in the RF & Microwave Research Lab
in collaboration with Xilinx. Applicants should have Bachelors or Masters degree in electronic engineering with excellent background in digital circuit design and communication signal processing algorithms. Potential candidates should send CV and academic transcripts to Prof. Anding Zhu (
2. PhD Studentship and Post-Doc Fellowship on High Speed Digital Mixing RF-DAC
With increasing demands for enhanced data services, wireless communications networks are facing significant challenges since different radio technologies, multiple transceiver architectures and increasing frequency allocations make the wireless transmission more complex to design and control. The digital mixing RF-DAC combines digital to analog converter and up-conversion mixer in a single building block. Thereby, the analog baseband blocks are eliminated and replaced by reconfigurable digital blocks. The RF-DAC extends the scope of digital signal processing right up to the antenna and it enables synthesis of digital baseband signals directly at the final RF frequency, which provides great flexibilities and high performance in multi-standard reconfigurable radios.
The aim of this project is to develop a wideband high power, high efficiency and fully integrated mixing RF-DAC with high resolution and superior linearity on 28 or 14 nano-meter CMOS. We will focus on analog and mixed signal IC design and jointly working with other researchers in digital signal processing algorithms development. The research will be jointly supervised by Prof. R. Bogdan Staszewski (circuits) and Prof. Anding Zhu (algorithms) in the IoE2 Lab.
The post-doc post is initially on a contract for 18 months, but it will potentially be extended to over 3 years. Applicants should have a PhD degree in microelectronics and have hands-on experience on analog/mixed signal CMOS IC design with a strong peer-review publication record. The PhD student is fully funded for four years, starting in September 2017 or earlier. Applicants should have a Masters degree in electronic engineering with excellent background in analog/mixed signal IC design and communication signal processing algorithms. Potential candidates should send CV and academic transcripts to Mrs. Sunisa Staszewski (
3. PhD Studentship on Optimisation of Implantable Electrodes for Neural Stimulation
Recent advances in technologies that interface with the nervous system offer the potential for significant therapeutic and rehabilitation benefits across a diverse range of applications including deep brain stimulation, brain machine interfaces and neural control of prostheses. Applications are invited for a full time PhD position with the Neuromuscular Systems Research Lab at University College Dublin. The position is funded by the Science Foundation Ireland CÚRAM Centre for Research in Medical Devices (http://www.curamdevices.ie/). The start date for the project is September 2017.
Applicants should have, or expect to obtain, a first or upper second class honours Bachelors or Masters degree in Electrical, Electronic or Biomedical Engineering (or a related discipline). Suitable candidates will have a strong interest in biomedical/neural engineering and neuroscience. Excellent analytical, computational and communications skills are essential. Suitable candidates should be able to work independently and as a part of team. Studentships cover tuition fees for EU applicants and a tax free stipend of €18,000 per year. An annual allowance is provided for research consumables and for conference attendance. Please send a cover letter describing your experience and interest in this project (1 page max),
CV, and academic transcripts to Prof. Madeleine Lowery (