Terahertz frequency devices for future communication systems

University of Leeds Original Source

About This Opportunity

This PhD project is part of a £7M research programme between the Universities of Leeds, Swansea and UCL to develop the first high throughput wireless communication systems operating at terahertz carrier frequencies for both terrestrial and low-earth-orbit satellite applications. The research aims to enable a two orders-of-magnitude increase in data rates over state-of-the-art radio frequency and microwave systems, beyond 100 Gbit/s and towards 1 Tbit/s. The project focuses on developing quantum cascade lasers (QCLs), semiconductor devices comprising more than 1000 separate layers, each patterned with atomic monolayer precision. Research areas include developing edge- and surface-emitting QCLs tuned to atmospheric windows, with suitable output powers, beam quality and operational temperatures. The candidate will gain extensive experience in semiconductor device modelling, device fabrication, and electrical and optical characterisation of lasers. Related research opportunities also include developing new terahertz amplitude and phase-resolved coherent detectors, as well as fast optical and electrical signal modulation methodologies. This opportunity is suitable for applicants with a good first degree in Physics, Electronic Engineering, Materials Science, or an aligned subject. The project offers a highly competitive EPSRC Doctoral Landscape Award providing full academic fees and a tax-free maintenance grant at the standard UKRI rate for 3.5 years, with training and support.

42 - 43 mo
2 awards

Who Can Apply

Region
United Kingdom
Citizenship
United Kingdom
Residency
United Kingdom
Project in
United Kingdom
Applicants
individual
Organizations
academic

Application Details

Stages

  1. 1 single_stage

Required documents

transcripts cover_letter cv

Review process

Applications will be considered after the closing date. All candidates will be placed into the EPSRC Doctoral Landscape Award Competition and selection is based on academic merit.

Additional benefits

  • training

Restrictions

  • geographic_restrictions