Biomedical Engineering PhD: Using AI Spectroscopy to Track Microbial Responses to Antibiotics

Biomedical Engineering PhD: Using AI Spectroscopy to Track Microbial Responses to Antibiotics

Quick Decision

Promising, with the biological readout still to be demonstrated. This Exeter project combines nonlinear 2D perovskite photodetectors, single-cell antibiotic biology and machine learning. It suits applicants with a first or upper-second degree in Physics, Natural Sciences or Biological Sciences who want to work across device development and biological experiments. The central challenge is to show that the optical signals track meaningful changes in individual microbial cells, rather than simply detecting light.

The current award information specifies up to 3.5 years, an index-linked stipend currently at £21,805 per year (2026/27 rate), tuition coverage, and a £5,000 total research-training grant. The official application deadline is midday Tuesday 8 December 2026. The project award page says references are due by 8 January 2027 and general interviews are likely 15–24 February 2027; the central EPSRC guidance instead sets a 15 February 2027 reference date and retains a 2026 interview/outcome calendar despite 2027 entry. Ask admissions to resolve the conflict; until then, prepare references by the earlier 8 January date. Successful international award holders can receive an Exeter fee waiver for the international/Home fee difference, but international places are limited to up to 30% of the cohort and visa, health surcharge and moving costs remain separate. Before applying, confirm the project-specific eligibility interpretation and discuss how the sensor, microfluidics and validation work will be divided. See the project description and current award terms.

Research Problem and Doctoral Work

Bacterial populations that look uniform can contain cells with different growth states, drug uptake and survival responses. A population-average measurement can hide those differences. The need for better resistance surveillance is substantial: the World Health Organization reports that about one in six laboratory-confirmed bacterial infections worldwide in 2023 were resistant to antibiotics, and resistance increased in over 40% of monitored pathogen–antibiotic combinations between 2018 and 2023 (WHO AMR factsheet). The WHO's 2024 priority-pathogen list covers 24 resistant pathogens across 15 families (priority list).

The instrument starts from a compact detector rather than a conventional spectrometer. A single 2D perovskite photodetector can produce a nonlinear electrical response that encodes wavelength and light intensity; a compact neural network can then infer those optical variables. The PhD will extend this principle toward biological sensing by connecting photodetectors to microfluidic devices that trap individual microorganisms, control antibiotic exposure and track cells over time. These are advertised research aims; the biological sensing performance has not yet been demonstrated.

The project description identifies several linked work packages:

1. Develop sensor quantum materials and the optical/electronic interfaces needed to read them.
2. Calibrate optical measurements before moving toward individual-cell studies.
3. Combine the detectors with single-cell microfluidics and expose trapped microorganisms to antibiotics.
4. Develop learning algorithms to extract biological information from complex optical/electrical signals.
5. Test whether transmitted or scattered light changes reflect antibiotic-induced cell-state changes. Compare those signals with microscopy, growth, viability and recovery measurements to establish biological meaning and reliability.

The planned ambition is early, label-free phenotypic response measurement that could lay groundwork for compact antimicrobial-susceptibility tools. That is a research direction, not a validated clinical test or a promised deployment outcome. Important design details—including the bacterial species, antibiotic panel, optical wavelengths, throughput, signal thresholds, model architecture and comparison protocol—are not specified publicly. A key interview question is how the team will distinguish a drug-specific biological response from variation in cell size, growth, illumination, device drift or sample preparation.

School, Programme and Field Context

The project is based at the University of Exeter's Living Systems Institute (LSI), on the Streatham Campus. The project PDF names the “PhD in Complex Living Systems” as the potential programme. The University of Exeter is the only institution named for the award; no joint degree or external degree-awarding partner is identified. Applicants should still confirm the formal registration route and exact degree title.

The LSI's integrated PhD programme brings together physics, mathematics, computational science, engineering, biology and medicine. It describes interdisciplinary training modules and workshops, supervisors from different disciplines, an advisory thesis committee, cohort activities and career preparation. The Institute's wider research community includes around 200 PhD students, postdoctoral researchers and principal investigators. This structure is well aligned with a project that moves between material physics, optical instrumentation, computation and microbiology (LSI programme; LSI overview).

Exeter's QS World University Rankings 2027 position is 136 overall. This is a broad institutional measure, not a project or subject ranking. Relevant subject-level context comes from REF 2021: Biological Sciences recorded 41% world-leading and 49% internationally excellent research; Physics 48% and 45%; Engineering 32% and 60%. These profiles describe research submitted across each university unit, not the quality of this particular lab or a guarantee of doctoral outcomes (Exeter rankings; REF results).

Supervisor and Lab Assessment

The named supervision joins two complementary areas. Professor Stefano Pagliara works on microbial membrane transport, antibiotic uptake and antimicrobial resistance, with single-cell microfluidics, microscopy and genomics. Professor Saverio Russo is named as an additional supervisor; Exeter's Quantum Systems and Nanomaterials group lists him as academic lead and describes research in optical/electrical properties of nanoscale materials and device physics (Pagliara and AMR research; Quantum Systems and Nanomaterials; quantum and 2D materials expertise).

Four papers clarify the team's starting point:

• Detector-to-spectrum inference (2026 preprint). Riisnaes and colleagues, including Russo, report a compact variational neural network that reconstructs wavelength and irradiance from one nonlinear perovskite detector using fewer than 400 voltage sweeps. The reported wavelength mean absolute error is 8.1 nm and R² is .958. This directly supports the optical-inference concept, but remains a preprint and does not evaluate microbial state sensing (paper).
• Perovskite detector performance (2024). Mastria and colleagues, including Russo, report highly sensitive 2D hybrid perovskite photodetectors with real-time response and a large linear dynamic range. This supports the materials and instrument side; it does not show antibiotic discrimination or biological readout (paper).
• Single-cell killing dynamics (2023). Zhang, Kepiro, Ryadnov and Pagliara used time-lapse microscopy and microfluidics to distinguish responses to ampicillin, ciprofloxacin and experimental Ψ-capsids. Responses varied by compound and concentration. The study used stationary-phase E. coli, so its findings motivate single-cell validation without specifying how the proposed detector will perform (paper).
• Antibiotic accumulation and growth (2022). Łapińska and colleagues, including Pagliara, combined microfluidics, microscopy and modelling to show that bacterial growth state and phenotype influence antibiotic accumulation and efficacy. This supports comparisons with direct biological measures; the work used selected strains, drugs and fluorescent-derived probes rather than the proposed label-free photodetector (paper).

The LSI lists facilities for microfluidic device design, fabrication and bonding, live-cell microscopy and imaging analysis. The Institute's microbes theme also includes Pagliara's membrane-transport group and high-throughput single-cell microfluidic screening. These capabilities are relevant, but facility descriptions do not confirm that equipment, staff time or consumables are reserved for this doctorate. The public project materials also do not state the division of day-to-day supervision across sensor fabrication, algorithm design and bacterial experiments (LSI facilities; LSI microbes theme).

Research Direction and Field Outlook

The project sits in an active area spanning rapid phenotypic susceptibility testing, single-cell microfluidics and computational sensing. A 2024 review of single-cell microfluidics describes devices that isolate, expose and image individual bacteria, while noting that specialist resources and device design can be barriers to use (primer). An adjacent study published in 2025 combines picoliter-droplet microfluidics, angle-resolved scattered-light images and convolutional neural networks for label-free microbial growth detection and rapid susceptibility testing (study). It is evidence of active research, not a direct benchmark: that study uses a droplet-scattering architecture, whereas this project proposes nonlinear perovskite pixels paired with single-cell biological validation.

UK AMR policy treats improved diagnostics and surveillance as priorities, and its one-year progress report notes that effective infection diagnostics can guide appropriate prescribing. This establishes public-health relevance, not clinical readiness for this instrument (UK AMR action plan; one-year progress report).

The cross-disciplinary training may transfer to photonic or quantum sensing, scientific instrumentation, computational imaging, single-cell biotechnology and diagnostic-tool research. UK government projections estimate around 66,000 additional jobs in priority life-science occupations between 2025 and 2035, a broad forecast that is not specific to this PhD. Quantum technology is a smaller and more specialized employment segment: an exploratory UK government analysis found a three-month rolling average of 114 online vacancy advertisements on 31 January 2025, or 0.02% of the measured dataset. Because it is based on keyword searches of online ads and low counts, it should not be read as a current vacancy count or an employment prediction (Life Sciences Jobs Plan; Quantum Skills Taskforce report).

Funding, Application, and Living Cost

The current award page lists a September 2027 start and up to 3.5 years of full-time funding. It gives an index-linked stipend of £21,805 per year at the 2026/27 rate, Home tuition-fee coverage and a £5,000 Research Training Support Grant across the 3.5-year period. For successful international applicants, Exeter says it covers the difference between Home and International tuition fees through a university fee waiver. The international fee-status cohort is limited to up to 30%; visa fees, the immigration health surcharge and moving costs are not included. The advertised stipend is a reference rate; the final 2027/28 value should be checked in a written offer (award terms; eligibility guidance; UKRI student support).

The official closing time is midday UK time on Tuesday 8 December 2026. Applications require a personal statement explaining research interests, prior experience and project motivation, a CV, transcript(s), two references, and English-language evidence when applicable. Documents must be in English; certified translated copies of qualifications are required. The project award page says referees must email references from institutional accounts by 8 January 2027, and general interviews are likely 15–24 February 2027. The central EPSRC guidance lists a later reference date, 15 February 2027, and contains 2026 interview/outcome dates that conflict with the 2027 cohort. Confirm the schedule with Exeter admissions; use 8 January as the planning deadline while awaiting clarification. Incomplete submissions will not progress to shortlisting. A technical interview may be requested. If applying to multiple EPSRC DLA projects, the scheme allows up to three project applications and asks candidates to indicate their preferred choice in the personal statement (current application information; scheme page).

Exeter estimates basic monthly living costs at £1,300–£2,000, based on local spending in April 2026. The £21,805 reference stipend averages about £1,817 per month before personal contingencies. At the upper end of the University's estimate, basic costs can exceed that monthly average. A current example of postgraduate self-catered accommodation, Cook Mews, is listed at £124.74 per week; contract lengths and room costs differ. Budget separately for initial setup, travel, visa and health surcharge expenses (Exeter budgeting estimate; accommodation room finder).

Applicant Fit and Preparation

Required academic background: the project PDF specifies a First or 2:1 (or equivalent) in Physics, Natural Sciences or Biological Sciences. The wider scheme describes an appropriate science or technology degree and says lower-second-class applicants may be considered with a master's degree or significant relevant non-academic experience. Because the project has its own subject requirement, applicants should ask whether the scheme-wide exception applies to this specific project. English-language proof may be required depending on circumstances.

Skills named as training areas: quantum technologies, optical instrumentation, bacterial culture, single-cell microfluidics, neural-network development and rigorous experimental validation. The project says the balance between bespoke sensor creation, interfacing with living systems and algorithm development can reflect the student's interests and strengths; it does not state that applicants must already master every method.

Useful preparation to demonstrate: show either a quantitative/device anchor or a biological/experimental anchor, then explain how you would learn across the other discipline. A strong personal statement can connect your past research experience to calibration, robust experiment design and independent validation of model outputs. For interview preparation, understand the difference between reconstructing wavelength from a controlled detector and inferring antibiotic-induced changes in living cells.

Next Actions and Questions to Verify

Before applying

• Confirm that your degree subject and international grade equivalence meet the project-specific requirement; ask how it interacts with the broader scheme exception.
• Prepare the personal statement, CV, complete transcript(s), English-language evidence if required, and certified qualification translations. Ask Exeter admissions to resolve the 8 January versus 15 February reference deadline and confirm the interview schedule; prepare references by 8 January while awaiting clarification.
• Confirm that the submitted application reaches the correct project panel before midday on 8 December 2026.

At interview

• Which bacterial species and antibiotic classes will anchor the first single-cell tests?
• How will the team separate drug-induced biology from cell size, growth state, illumination changes and detector drift?
• What comparisons will connect optical fingerprints with microscopy, growth, viability and post-treatment recovery?
• How will work be divided between Pagliara and Russo, and what parts of device fabrication, microfluidics and modelling will the doctoral researcher own?
• Which fabrication, microscopy and image-analysis facilities are allocated to this project, and what technical support and consumables budget are available?

Before accepting an offer

• Confirm the registered programme and degree title, full-time start and duration, and final 2027/28 stipend.
• Obtain written confirmation of full international fee coverage for the award period, if applicable, and budget for visa, health surcharge and relocation.
• Check accommodation contract length and the actual monthly budget for the planned housing arrangement.

Evidence and Sources

Project, school, programme and funding

• Project description and named supervisors
• EPSRC award 6022, September 2027 entry
• Exeter EPSRC DLA studentships
• EPSRC DLA funding eligibility and application guidance
• LSI PhD Programme in Complex Living Systems
• Living Systems Institute
• LSI research facilities
• LSI microbes research theme
• Exeter antimicrobial-resistance research and Pagliara profile
• Quantum Systems and Nanomaterials group
• Quantum and 2D materials expertise
• University of Exeter rankings
• REF 2021 results
• UKRI student stipend, fee and support guidance
• Exeter living-cost budget
• Exeter accommodation room finder

AMR, field direction and career context

• WHO antimicrobial resistance factsheet
• WHO bacterial priority pathogens list 2024
• UK AMR action plan 2024–2029
• UK AMR national action plan one-year progress report
• UK Life Sciences Jobs Plan
• UK Quantum Skills Taskforce report

Papers and methods

• Compact variational neural networks for spectral inference from one nonlinear detector (2026 preprint)
• Real-time 2D hybrid perovskite photodetectors (2024)
• Fast bacterial growth reduces antibiotic accumulation and efficacy (2022)
• Single-cell killing kinetics across antibacterial classes (2023)
• Single-cell microfluidics primer for microbiologists (2024)
• Angle-resolved scattering and deep-learning susceptibility testing (2025)