PhD and Employment Opportunities

General enquiries related to reserach positions in the Electromagnetic and Acoustic Materials group should be directed to the group's Academic Lead, or directly to members of academic staff

Job vacancies

Current vacncies in academic and research positons are listed on the College's staff-vacancies list.

PhD Opportunities

Potential applicants should read more about the academic training and research PhD programmes that can be hosted by the Electromagnetic and Acoustic Materials Group by visiting the Postgraduate Research in Physics or the EPSRC Centre of Doctoral Training in Metamaterials pages.

Funded PhD Studentships

We are currently recruiting to a number of Fully-funded PhD Studentships.  The funder of these projects (e.g. UKRI, university, industry) will normally pay tuition fees, and provide funds for a research, travel and training allowance, and a tax-free stipend to cover living expenses for the student.  Funder requirements and differing fee levels sometimes restrict these positions to UK or EU nationals.  Applicants can find funded studentships listed here, some of which are part of the EPSRC Centre of Doctoral Training in Metamaterials, which are separately listed here. Please see the indiviual adverts for details.

PhD Project Proposals

The list below describes potential reserach projects that are not directly associated with specific funding.  They provide a basis for applicants to write research proposals in any applicantion they might make (e.g. Exeter's Doctoral Training Partnershp or other university funding schemes, non-UK govenment or funding for international students etc).  Applicants are invited to discuss the project proposal with the named supervisors and together write a full studentship reserach proposal.  

Acoustic Metamaterials (AM) are regarded as a potential solution as sound absorbers in the previously unattainable low frequency band (<1 kHz). The vast majority of AM consist of arrays of local resonators, mainly membrane based, however their performance is often narrow band.  Our ambition is to push the boundary of AM to address technological challenges of low frequency broadband sound absorption in practical environments.   We will draw on our expertise in widening the bandwidth of electromagnetic devices, while also applying our previous work on tuneable vibrational energy harvesters, such as magetically induced non linearity, and closed-loop tracking systems, to provide absorbption of ambient acoustic frequencies.

Objectives of this project are to:

  1. design low power mechanisms to tune the resonant frequency for membrane-based AM below 1 kHz.
  2. optimise performance of magnetically induced nonlinear AM below 1 kHz.
  3. develop an autonomous closed-loop frequency tracking system for frequency tuneable AM.
  4. demonstrate sound absorption using the broadband AM.

The Nano Engineering Science and Technology (NEST) group currently researches within a portfolio of awards exceeding £13m. The PI (Zhu) is currently leading development of underwater energy harvester funded by Innovate UK (103380) and has previously led research into mechanical and electrical methods of tuning the resonant frequency of vibration energy harvesters together with control algorithms.

Existing solutions are either theoretical or have obvious weaknesses such as limited broadband, high power consumption and large dimensions

Waves propagating in quasicrystals are at a curious point where neither Bloch’s theorem (applicable to periodic media), nor the diffusion approximation (applicable to random media) are appropriate. While quasicrystals can be constructed from a deterministic rule, they do not exhibit the translational invariance that allows propagation to be understood in terms of a single unit cell. However, it has been known for some time that diffraction from photonic quasicrystals exhibits similar sharp peaks as are observed for true periodic crystals, due to the presence of long range order.  This project explores the propagation of electromagnetic waves on the surface of 2D quasicrystals. Such lattices (e.g. those generated using the Fibonacci sequence in particular) have an interesting link to topology via Chern numbers, and fractals.  Although little experimental work has been done to explore these aperiodic structures, our fabrication and characterisation techniques for exploration in the microwave domain naturally lend themselves to this project, and to accompany this experimental strand, there will be a challenging programme of numerical and analytical modelling work for the student to undertake.

  • Please contact Prof Roy Sambles, Dr Simon Horsley, and Prof Alalstair Hibbins via metamaterials@exeter.ac.uk for more information.

This project explores the role of metasurfaces loaded with magnetic materials in manipulating electromagnetic waves in the RF and microwave bands. In particular, we will identify metasurface designs that allow for instant switching of the operation of devices, such as steering beams or tuning the frequency of filters, absorbers or sources.  The research will be undertaken using a full electromagnetic wave solver that takes into account both electric and dynamic magnetic response of materials.  Developed in house, and unavailable commercially, our state of the art software solves Maxwell and Landau-Lifshits-Gilbert equations simultaneously. It can be utilised to explore the use of magnetisation dynamics of highly structured magnetic configurations (e.g. vortices, domain walls).  Although the project primarily aims at numerical modelling, it is anticipated that some (successful) models will be verified experimentally.

Biological tissues appear opaque because they scatter visible light, thus scrambling the spatial information needed to form an image. While this process is completely deterministic, reconstructing the position of the scattering centres from the scattered light is a very difficult inverse problem. It is important to realize that in most cases of interest one doesn't need a perfect reconstruction, but "just" a good guess. So we propose that a trained machine learning algorithm is ideally suited to estimate the most likely scatterers' distribution from the scattered light.

The crystal – a lattice made of atoms, plays the fundamental role in science. Its properties are defined by the geometry, interactions, and potentials, and are typically difficult to control. One possible way to change it is to consider artificial lattices made of optical resonators, where optical engineering and coupling to optically active medium can turn into versatile tool for simulating crystals. For instance, this research direction has brought two highly intriguing fields of physics. First, the precise control of coupling and effective spin orbit interaction allows to study topologically nontrivial lattices with emergent chiral states of polaritons – hybrid light-matter quasiparticles [S. Klembt et al., Nature 562, 552 (2018)].  Second, when light in the optical lattice is coupled to nonlinear medium, this potentially allows to reach the physics of strongly correlated polaritons [A. Greentree et al., Nature Physics 2, 856 (2006)]. Bringing the two directions together is an exciting possibility, which is yet to be explored, and serves the basis for the project. In particular, the unique combination of chiral edge states, multicavity system, and nonlinearity at the level of few quanta, can become a building block for spatially distributed quantum devices even in the presence of noise and dissipation.

Quantum thermodynamics is a new research field, where thermodynamics is studied in the small-system size limit where fluctuations become non-negligible, weak coupling between system and environment cannot be assumed, and a fully quantum mechanical description may be needed. This project is concerned with the application of theoretical tools from the fields of quantum thermodynamics and open quantum systems to the problem of modelling the dynamics, the equilibrium state, and the timescale of equilibration, of a collection of interacting spins that are strongly coupled to their environment. The aim of this project is to find analytical equations that describe the spin dynamics when they are driven by a changing magnetic field and exposed to a heated environment (with potentially multiple temperatures). These will then be used to quantify the importance of quantum mechanical and strong coupling effects in the magnetization dynamics and in the long-time steady state of the spins. 

The lowest temperatures in the universe—of just a few nanokelvins—are nowadays routinely achieved in many labs. Ultracold atomic gases loaded in optical lattices stand out as an ideal platform for quantum simulation, which could help to crack longstanding condensed-matter physics problems, or assist the design of new materials or drugs. Precise temperature control is indispensable to run reliable simulations and yet, measuring extreme temperatures with high accuracy still remains a formidable open challenge.

In this project we will combine the theory of open quantum systems with quantum metrology to address the problem of temperature sensing deep in the quantum regime. In particular, we will new develop methods to treat strongly coupled open quantum systems under non-linear dissipation, and a novel theory of non-Gaussian quantum metrology. We will then apply these tools to improve the desing, measurement, and data analysis in current thermometry experiments exploiting atomic impurities in Bose–Einstein condensates.  

With the advent of Big Data and the Internet of Things, demand for data storage is growing exponentially, placing additional strain on the world’s energy resources.  As scaling of existing technology, such as the hard disk drive, reaches its physical limits, there is an urgent need to develop new recording paradigms that are ultra-dense, ultrafast, and energy efficient.  Switching of magnetic “bits” by ultrafast laser pulses is highly attractive for its potential speed, but the physical mechanisms needed to deliver the required density and energy efficiency are as yet unclear.  All-optical “toggle switching” of ferrimagnetic materials has recently been demonstrated [1] but requires heating, full demagnetization, and a significant time for cooling.  It has been proposed that switching may also be induced by non-thermal mechanisms that are potentially faster and more energy efficient [2].  Optically induced non-thermal switching will be explored in artificial ferrimagnetic trilayer materials that allow the magnetic parameters of the material to be carefully tuned.  The underlying aim is to promote transfer of angular momentum to the electron spins within the material without significant absorption of energy.  The project will make extensive use of the EPSRC funded EXTREMAG facility (http://blogs.exeter.ac.uk/extremag/) that recently opened within Physics.

[1] T. A. Ostler et al., Nat. Commun3, 666 (2012); [2] S. Mangin et al., Nat. Mater. 13, 291 (2014).

Information is processed within the human brain through the mutual synchronization of a vast 3 dimensional network of neurons that oscillate at a frequency of order 40 Hz.   In contrast, spin transfer oscillators (STOs) are nanoscale non-linear oscillators with frequencies that can be tuned within the GHz frequency range. Synchronization of a chain of 4 STOs has been used for recognition of human vowel sounds [1], while mutual synchronization of 8 x 8 arrays of STOs has recently been demonstrated [2].  Exploiting the high frequency and small footprint of STOs, arrays of STOs can be connected together to form powerful devices for high-speed pattern recognition.  This project addresses a critical gap in present understanding of STO synchronization, namely the relative phase of oscillation in adjacent STOs.  Time resolved scanning Kerr microscopy will be used to directly resolve the GHz oscillations of each STO device so that its relative phase can be determined.  Spatial resolution of down to 50 nm will be achieved through the optimization of a plasmonic antenna mounted on the tip of an atomic force microscope [3]. The project will make extensive use of the EPSRC funded EXTREMAG facility (http://blogs.exeter.ac.uk/extremag/) that recently opened within Physics.

[1] M. Romera et al., Nature 563, 230 (2018); [2] M. Zahedinejad et al., arXiv:1812.09630v1 (2018); [3] P. S. Keatley et al., Rev. Sci. Instrum. 88, 123708 (2017).

Recently, a new branch of optics has developed, coined Complex Photonics, which in broad terms involves the study of light in multiply scattering environments. When light propagates through a scattering or opaque medium such as frosted glass, a sugar cube, or even living tissue, the spatial information it carries becomes scrambled. This corrupts the formation of images of objects behind or inside scattering environments. The rapid growth of complex photonics has been prompted by the realisation that many of these extremely complicated scattering systems are linear (in electric field) and deterministic in nature. Therefore, we can use digital light shaping technology to measure and reverse their scattering effects – unscrambling the light back to the state it was in before it entered the medium. At the heart of this capability lies the transmission matrix (TM) concept, which describes the scattering as a linear operation relating a set of input spatial light modes incident on one side of the scatterer, to a new set of output modes leaving on the opposite side of the scatterer. Once characterised, seemingly random materials are transformed into exquisitely complicated optical systems that can be used in a variety of previously unexpected scenarios. For example, these developments promise a new generation of photonic devices capable of unscrambling light to peer deep inside living tissue. They can also be used to create a new forms of classical and quantum optical computer, that use the high-dimensional nature of the scattering transform itself to perform calculations at the speed of light.

The aim of this project is to design and build scattering systems with pre-determined scattering properties, and apply them to a range of imaging and optical computing applications.