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Bio-Inspired MEMS PhD: Acoustic Sensing for Buried Water-Pipe Condition Assessment

Project 2747 · University of Sheffield · School of Electrical and Electronic Engineering

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Save this opportunity and prepare around its actual requirements. Confirm deadlines and eligibility at the original source.

Country or region
United Kingdom
Application deadline
2027-01-13 (confirm the exact time with the source)
Funding
Competitive EPSRC Doctoral Landscape Award. The project listing advertises 3.5 years, full tuition, a UKRI-rate stipend currently stated as £21,805/year (2026/27 benchmark), and a project research grant. EPSRC funding is based on the Home tuition rate; Sheffield says it covers the difference for successful international awardees. International awards are capped at 30%, with up to ten places anticipated by Sheffield and Home applications considered first. The 2027/28 stipend and project-grant amount/scope are not stated.

The research opportunity

Project overview

This PhD at the University of Sheffield’s School of Electrical and Electronic Engineering will develop and test a bio-inspired microelectromechanical systems (MEMS) sensor for exploring acoustic pressure-derivative signals as indicators of buried water-supply pipe condition. Inspired by fish neuromast hair cells, the proposed work targets early structural deterioration in operating pipes. Millimetre-scale damage detection and broad applicability across pipe materials and sizes are research aims, not demonstrated performance.

Research focus and doctoral work

The advertised work includes a four-beam cantilever on a silicon chip, a hair-like sensing structure, compound-semiconductor integration, protective packaging, signal readout, and device fabrication and testing. The project description places relevant fabrication work in Sheffield’s cleanroom. It does not specify device parameters, materials, performance thresholds, calibration procedures or a full test matrix. Flow, pipe geometry, material and installation conditions may affect signal interpretation; selectivity, repeatability, false alarms and field readiness remain research questions.

Sheffield’s semiconductor, microdevice, acoustic and pipe-measurement research environments are relevant context. Their general capabilities do not confirm project-specific equipment access, training, staff support or a live-network trial. The materials do not identify a water-utility partner, trial site or access agreement.

Institution and supervisors

The degree-awarding institution is the University of Sheffield, and the academic home is the School of Electrical and Electronic Engineering. The named supervisors are Dr Kristian Groom and Dr Anton Krynkin. Krynkin also works in Mechanical, Aerospace and Civil Engineering and with Pennine Water Group. The project materials do not specify the supervision split or the responsibilities of other collaborators.

Funding and application

The EPSRC Doctoral Landscape Award (DLA) project listing advertises a 3.5-year award, full tuition, a UKRI-rate stipend currently stated as £21,805 per year, and a project research grant. The stipend figure is the 2026/27 benchmark; the 2027/28 rate and the amount or scope of this project’s research grant are not stated. EPSRC funding is based on the Home tuition rate. Sheffield’s DLA instructions say it covers the Home/International fee difference for successful international awardees. International awards are capped at 30%; Sheffield anticipates up to ten international places and considers Home applicants first. These are competition rules, not a promise of an award.

Applicants must use the dedicated DLA form. It asks three questions capped at 300 words each; applicants may select up to two projects and must disclose AI use as directed by the form. Project materials list a deadline of 17:00 GMT on 13 January 2027 and a start date of 1 October 2027. Confirm the form and documents for the relevant round on the official instructions.

Applicant fit and points to confirm

The project listing does not state a required degree subject, class or prior MEMS experience threshold. The School’s general English-language requirement for EEE research degrees is IELTS 6.5 overall with no component below 6.0, or an accepted equivalent; this is a general School requirement rather than a project-specific threshold. Confirm whether the DLA has additional conditions. Before applying, ask the supervisors about any project-specific expectations and how the device will be designed, fabricated and assessed. Confirm access to the relevant cleanroom and semiconductor facilities, reference measurements, pipe conditions and testing route. Before accepting, obtain written confirmation of the 2027/28 stipend, project research-grant scope, fee-status treatment and funded dates. Utility partnership, live-network access, supervision roles and equipment allocation remain unconfirmed.

Research and application brief

Report generated: . This date does not confirm that recruitment remains open.

Information updated: . Recheck the original notice before applying.

Show report contents

Bio-Inspired MEMS PhD: Acoustic Sensing for Buried Water-Pipe Condition Assessment

Research verified: 7 November 2026
Assessment: Strong funding and a relevant interdisciplinary team; technical validation and deployment remain open questions

Quick assessment

This is a 3.5-year Engineering and Physical Sciences Research Council (EPSRC) Doctoral Landscape Award (DLA) PhD at the University of Sheffield. It proposes a bio-inspired microelectromechanical systems (MEMS) sensor that measures acoustic pressure derivatives to assess the condition of buried water-supply pipes. The project connects microdevice design and semiconductor integration with acoustics, instrumentation, signal interpretation and water infrastructure.

The Sheffield project listing states full tuition, a UKRI-rate stipend currently given as £21,805 per year, and a project research grant. The published stipend is the current 2026/27 benchmark; the amount for an October 2027 start has not yet been set. The application closes 13 January 2027 at 17:00 GMT (the university gives this as 5pm UK time) and asks for a 1 October 2027 start. The award duration is 3.5 years. Project directory, 2027 EPSRC DLA opportunities, DLA application instructions.

The strongest case for the project is the fit between the supervisors’ documented backgrounds: Kristian Groom works on semiconductor device design, fabrication and integration; Anton Krynkin works on acoustics and pipe-condition measurement with Pennine Water Group. Sheffield also describes cleanroom, semiconductor and doctoral-training resources relevant to the advertised work. These are credible ingredients for the project, but generic facility descriptions do not guarantee access to particular tools, a live water-network trial or an industry partner.

The central research risk is the step from detecting a pressure-linked signal to reliably distinguishing early pipe damage from normal operating variation across different pipes and hydraulic conditions. The advertised millimetre-scale detection and broad applicability are goals, not demonstrated results. Recent Sheffield-linked work on fibre-optic sensing and acoustic pipe inspection provides relevant context, but none validates this project’s neuromast-inspired MEMS device.

Research problem and proposed work

The project takes inspiration from fish neuromast hair cells, which detect subtle water movements and pressure changes. The proposed device would be installed inside water-supply pipes and detect acoustic pressure derivatives that could indicate structural deterioration before a leak or burst. Ofwat reports leakage of 2,869 megalitres per day across England and Wales in 2024/25 and says water companies have committed to a 50% reduction from the 2017/18 baseline by 2050. Annualised, the current daily figure is about 1.05 trillion litres a year. That contextualises the scale of the problem in England and Wales; it does not show that this sensor will reduce leakage or establish a UK-wide total. Ofwat leakage data and targets.

The project description groups its work around several connected tasks:

  1. Sensor concept and device design. Translate the bio-inspired sensing idea into a microscopic hair-like structure and a four-beam cantilever on a silicon chip.
  2. Device integration. Develop a way to attach the sensing structure and incorporate compound-semiconductor materials intended to improve sensitivity.
  3. Packaging and readout. Explore protective packaging and electronics so that the sensor can function in a pipe environment.
  4. Testing and assessment. Design, fabricate and test the devices, then assess whether their signals can support pipe-condition decisions.

This sequence is a synthesis of the advertised tasks, not a published work-package schedule. A useful feasibility framework would separate device response from application performance: establish repeatable sensor output, compare it with reference measurements, test whether the response changes under meaningful pipe-condition differences, and then assess robustness in representative environments. The project notice does not specify the test matrix, target signal thresholds, reference instruments, damage classes, calibration method or field-trial design. Those details will determine whether the project can make a defensible claim about early detection.

The target of identifying damage at millimetre scale across different pipe materials and sizes is ambitious. Before it can support a water-utility decision, the work must establish sensitivity and selectivity, distinguish damage signals from flow and installation effects, quantify false alarms and missed detections, and show that packaging and readout remain stable in relevant conditions. These are research questions, not assumed capabilities.

School, discipline and doctoral training

The degree-awarding institution is the University of Sheffield. The project is advertised in the School of Electrical and Electronic Engineering; co-supervisor Anton Krynkin is based in Mechanical, Aerospace and Civil Engineering and works with Pennine Water Group. No joint degree or external employer is named. Sheffield’s general PhD guidance describes original research supported by an expert supervisory team and tailored doctoral training. The 3.5-year duration is specific to this DLA award; the university’s general PhD guidance describes a wider range of research-degree structures. Routes to a PhD.

Sheffield’s Doctoral Development Programme offers research-skills, writing, careers, ethics and professional-development training. New postgraduate researchers are also directed to faculty doctoral schools, careers support, academic-skills provision and peer support. These are university-wide resources; the project listing does not give its own training calendar or a guaranteed set of modules. Doctoral Development Programme hub, information for new PGRs, research-degree Code of Practice 2025–26.

Sheffield’s Faculty of Engineering reports that its REF 2021 Engineering submission ranked eighth by research quality, with 96% of its work rated world-leading or internationally excellent. This submission combined six engineering departments and two research centres; it is broad faculty-level context, not an EEE-specific score or an evaluation of this project. REF 2021 Engineering results.

The official English-language table gives EEE research degrees an IELTS requirement of 6.5 overall with at least 6.0 in each component, or an accepted equivalent. This is the school’s general research-degree requirement; applicants should confirm whether the DLA application has any additional language conditions. English requirements for research degrees.

Supervision and research environment

Dr Kristian Groom’s profile describes semiconductor optoelectronic device design and manufacture, heterogeneous integration and the development of new sensor technologies. This experience is relevant to device integration and fabrication. Dr Anton Krynkin’s profile focuses on acoustic waves, vibration and wave propagation; it also records his work with Pennine Water Group. The group’s sensor research studies how changes in underground pipe conditions affect acoustic waves and develops measurement and signal-processing approaches for condition assessment. Together, the profiles suggest a complementary device-and-acoustics supervisory mix. The advert does not specify who leads each work package, the meeting structure or the role of additional collaborators. Groom profile, Krynkin profile, Pennine Water Group sensor research, urban potable-water systems research.

Sheffield’s Cleanroom page lists microsensors and micromechanics, including cantilevers, among its areas and describes general device-design, fabrication and testing experience. The Semiconductor Materials and Devices group reports semiconductor growth, device fabrication and characterisation capabilities, including cleanroom and electron-microscopy facilities. The project’s description of advanced compound-semiconductor integration and cleanroom work is consistent with that environment. The applicant should still verify access to the particular fabrication, integration, packaging, readout and testing facilities needed for the project, plus the time and staff support available to a 3.5-year student. Engineering cleanroom, Semiconductor Materials and Devices group.

Research frontier and recent publications

Three recent studies by Sheffield-linked researchers illustrate relevant methods and limits:

  • Shamas et al. (2026), “Fibre-optic sensor design and strain-response analysis to wall pressure fluctuations in turbulent partially-filled pipe flows.” This study reports a flush-mounted fibre-optic sensor that responds to wall-pressure fluctuations in partially filled pipes and uses the response to infer hydraulic conditions; its abstract reports bulk-flow velocity estimates within 5% in the tested regimes. It is the closest recent example of pipe-wall sensing, and Krynkin is a co-author. It uses optical fibre rather than the proposed MEMS structure and studies partially filled flow, not early structural damage in buried drinking-water mains. Article.
  • Yu et al. (2024), “An application of a beamforming technique, linear acoustic array and robot for pipe condition localization.” The authors use an acoustic array and a robotic platform to localise pipe features in experimental arrangements, reporting localization errors within 3% of the sensing distance in the tested setup. It is relevant to acoustic condition assessment and measurement-system design. It uses active acoustic excitation and array processing, not a neuromast-inspired MEMS pressure-derivative sensor; its results should not be read as evidence of universal field performance. White Rose record.
  • Yu, Krynkin and Horoshenkov (2024), “Modal coupling analysis of the acoustic wave scattering from blockage in a pipe.” This paper combines analytical and numerical modelling with measurements to examine acoustic scattering from blockages. In its tested configuration, the reported model-to-measurement differences were lower for smaller blockages and increased for the largest one, illustrating how geometry and model assumptions influence interpretation. It does not investigate the proposed sensor or establish how its signal will classify pipe damage. Article.

Together these studies show a relevant Sheffield research base in pipe sensing and acoustics, while leaving a distinct gap for the proposed device. The project must demonstrate its own transduction principle, calibration, repeatability and relationship to condition decisions. Pennine Water Group’s established work on leakage, bursts and pipe measurement provides a useful domain setting, but the project listing does not identify a water company, access agreement or operational trial site.

Funding, application and Sheffield costs

The opportunity listing advertises 3.5 years, full tuition, a project research grant and a maintenance stipend at the UKRI rate, currently stated as £21,805 per year. UKRI confirms that £21,805 is the minimum full-time stipend from 1 October 2026 and that its 2026/27 minimum tuition contribution is £5,238 at the Home fee level. UKRI does not set the amount for this project’s 2027/28 start; the written award should confirm the applicable rate and exactly what research costs the grant covers. Project funding details, UKRI student support, UKRI studentships overview.

Sheffield’s 2026/27 fee table lists EEE MPhil/PhD fees at £5,238–£10,238 for Home students and £30,790–£35,790 for Overseas students, with possible research-support enhancements. These are current fee references; the project page says tuition is funded, and the DLA application page states that Sheffield will pay the Home/international fee difference for successful international candidates. EPSRC caps international awards at 30% of places; Sheffield anticipates up to ten international awards and says Home applications are considered in the first phase. The opportunity is listed for worldwide applicants, but international eligibility does not imply equal odds or an uncapped number of awards. Confirm the fee treatment for the specific offer in writing. Sheffield PGR fees, DLA international-applicant rules.

For 2026/27, Sheffield lists University postgraduate accommodation examples from £151.41 per week for a shared-bathroom room to £240.38 for a studio; many postgraduate contracts last 51 weeks. A separate university guide estimates rent at £500–£800 per month and groceries at £30–£45 per week. These are not a complete budget and may change before 2027/28. The Student visa financial-evidence guidance recorded in the saved project materials as of 7 November 2026 gives a threshold of £1,171 per month outside London for up to nine months, in addition to unpaid tuition shown on the CAS. This is an immigration threshold rather than a realistic full-year living-cost estimate; visa and immigration-health-surcharge costs are additional, and UKRI says its funding does not cover them. 2026/27 accommodation rents, international student cost guidance, University living-cost guidance, GOV.UK visa financial requirements.

The application must use Sheffield’s dedicated EPSRC DLA form; a standard PhD application is not considered for this competition. The form asks three questions of up to 300 words each on motivation and suitability, relevant knowledge and skills, and an example of investigating a research question. Applicants can select up to two projects and are encouraged to discuss fit with the supervisors before applying. The form asks applicants to disclose and explain AI use. The official page gives the deadline as 5pm UK time on Wednesday 13 January 2027; the supplied project notice states 17:00 GMT, which is equivalent in January. DLA application instructions.

Applicant fit and career pathways

The project page does not state a subject-specific degree class or prior MEMS experience threshold. Its DLA form asks applicants to demonstrate motivation, relevant knowledge and skills, and experience addressing a research question. The general EEE English-language requirement is IELTS 6.5 overall with no component below 6.0, or an accepted equivalent. The project tasks suggest that prior exposure to electronics, device or sensor design, materials, acoustics, instrumentation, experimental measurement, signal analysis or modelling could be relevant; these are fit signals inferred from the advertised work, not formal entry conditions.

Sheffield’s general PhD and DDP resources describe opportunities for research development, careers guidance and wider professional skills. Plausible pathways include sensor and device engineering, semiconductor manufacturing, instrumentation, acoustics and signal analysis, water-utility innovation, infrastructure condition monitoring, and academic or applied research. Skills England’s 2026 report includes electrical and electronics engineering among priority occupations in several sectors, but it does not forecast a job or salary for graduates of this project. Skills England 2026 report.

Main uncertainties and questions to resolve

Before submitting:

  • Ask whether the team expects a particular degree background, grade profile or experience beyond the DLA’s common assessment questions.
  • Confirm that the project remains available, the dedicated DLA form is the correct route and all required application materials are understood.
  • Ask how to demonstrate research potential if prior work is in only one of the project’s areas, such as electronics, acoustics, materials or water engineering.

At interview:

  • What is the sequence of design, fabrication, packaging, readout and testing, and which performance measures will define success?
  • Which reference sensors and pipe conditions will be used to test repeatability, sensitivity, false alarms and the ability to distinguish damage from normal variation?
  • Which specific cleanroom and semiconductor resources are allocated, what training is available, and how will laboratory time and consumables be supported?
  • How will Groom and Krynkin divide supervision, and will water-company or infrastructure partners contribute to project decisions or testing?
  • Is there an agreed route to test in representative pipes or operational networks, or is the doctorate limited to laboratory and controlled-pipe evaluation?

Before accepting:

  • Confirm the 3.5-year registration and award dates, 2027/28 stipend, tuition coverage for the relevant fee status, research grant scope, consumables, travel support and any required contribution.
  • International applicants should confirm in the written award how the Home/international fee difference is covered and when their application is considered under the DLA cap.

Evidence and Sources

Project and DLA

School, supervisors and facilities

Recent research

Funding, costs and sector context

Sources

The listing may come from a university or recruitment platform. Check the notice and official sources in the report for current application requirements. View the recruitment source

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