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Sustainable Aviation Fuels PhD: Modelling Market and Policy Pathways to 2050

Project 2673 · Imperial College London · Grantham Research Institute and Department of Aeronautics

Application workspace

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Country or region
United Kingdom
Application deadline
2027-01-04 (confirm the exact time with the source)
Funding
3.5 years; full tuition coverage; annual tax-free stipend £23,805; travel budget (amount and rules not published). Home and international applicants are accepted; overseas-fee coverage should be confirmed.

The research opportunity

BI0003 is a 3.5-year PhD in Imperial College London’s Doctoral Programme in Sustainable Aviation (DPSA). It will use multi-agent modelling to examine how airlines, airports and sustainable aviation fuel (SAF) producers/suppliers respond to market and policy incentives. The project aims to compare bio-based SAF and synthetic/e-fuel pathways and policy combinations through 2050, assessing uptake, investment, emissions, fuel availability, costs and public expenditure. Passenger demand may be included, but is optional in the project description.

Possible instruments named in the saved project materials include carbon pricing, emissions trading, CORSIA, SAF mandates, credits, subsidies, revenue recycling and combinations. The project is a policy and systems-modelling study, not fuel synthesis or laboratory testing. Its public description does not specify model structure, actor decision rules, software, data, calibration/validation, scenario count or industry partners; no particular emissions reduction is promised.

The listed supervisors are Dr Gbemi Oluleye (primary) and Professor Laura Mainini (project supervisor). The project is listed with the Grantham Research Institute and Department of Aeronautics. Confirm how supervision is divided and whether the project can use existing code, data or industry relationships.

Applicants should have or expect a first-class honours Master’s degree or higher in Aerospace Engineering or an allied discipline, including Computational Engineering, Mechanical Engineering, Mathematics or Physics. The project also asks for strong numerical methods and scientific computing, independent organisation, technical communication and a demonstrated interest in sustainability.

The award is 3.5 years, with full tuition coverage, an annual tax-free stipend of £23,805 and a travel budget. Home and international applicants are accepted; the travel allowance amount and overseas tuition terms are not specified. The deadline is 4 January 2027; planned entry is 1 October 2027. Apply to Aeronautics Research (PhD), select Brahmal Institute, include project code BI0003 and submit a one-page A4 letter answering two sustainability/DPSA questions, each within 200 words. The programme FAQ also says a personal statement is required and lists an early-March 2026 decision date for the 2027 cohort. Confirm the document list, overseas fee coverage, deadline time and current decision timetable with the Institute. Enquiries: Dr Gbemi Oluleye and Professor Laura Mainini; general project enquiries: brahmal-institute@imperial.ac.uk.

Research and application brief

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Sustainable Aviation Fuels PhD: Modelling Market and Policy Pathways to 2050

Research position: 6 November 2026

Quick Decision

Strong but verify fit. BI0003 is a fully funded, 3.5-year Imperial PhD on how airlines, airports and sustainable aviation fuel (SAF) producers respond to interacting market policies under uncertain supply and investment conditions. The advertised work uses multi-agent modelling to compare bio-based and synthetic/e-fuel pathways and policy combinations through 2050. It is especially aligned with applicants who have a first-class quantitative or engineering Master's, strong numerical methods and scientific computing, and a genuine interest in sustainability policy.

The strongest evidence is the close fit between the question and Dr Gbemi Oluleye's recent SAF market-policy and agent-based modelling work, paired with Professor Laura Mainini's aerospace computational-design expertise. The main decision limits are that the BI0003 page does not specify its model architecture, data access, calibration plan or committed industry partners; the application FAQ conflicts with the short-letter instructions; and the stipend leaves a small margin against Imperial's 2026 general London cost estimate. The listed deadline is 4 January 2027, for a planned 1 October 2027 start. Before applying, confirm the required statement package, overseas-fee coverage, deadline time and grade equivalence. At interview, test the model/data plan and the supervisors' division of work.

Research Problem and Doctoral Work

What Is Unsolved and Why It Matters

SAF is one route for reducing aviation's lifecycle emissions, but fuel supply, price premiums, feedstock constraints, infrastructure and policy incentives interact. Mandates may create demand, while taxes, emissions trading, subsidies or revenue support change the expected returns to producers and airlines. A policy can look effective in a single-market model yet produce different results where fuel supply is constrained, airlines have different routes or airports have uneven access. The UK Department for Transport's 2026 evidence call explicitly asks about non-HEFA and power-to-liquid supply, investor confidence and policy stability; its open questions underline that targets alone do not settle how much qualifying fuel will be available. IATA estimates global SAF output at about 2.4 million tonnes in 2026, or 0.8% of jet-fuel use, but this is an industry estimate rather than a neutral forecast. See the UK supply and industry-certainty call and IATA's SAF overview.

Work, Methods, and Potential Outputs

The current official BI0003 page describes a multi-agent framework representing airlines, airports and fuel producers/suppliers, with the potential to include passenger demand. The model is intended to capture investment, production, supply and fuel-adoption decisions in response to costs, infrastructure availability, policy incentives, expectations, interactions with other actors and uncertain future conditions. The advertised fuel scope includes bio-based SAF and synthetic/e-fuels. Policy mechanisms include carbon pricing, emissions trading, CORSIA, SAF mandates, credits, subsidies, revenue recycling and combinations of these measures. Scenarios through 2050 are to assess uptake, technology diffusion, emissions, investment, fuel availability, cost distribution and public expenditure, identify effective incentives or potential lock-in, and test variation across airline networks and airports. These tasks are stated on the BI0003 project page.

This is a systems and policy-modelling PhD rather than fuel synthesis or laboratory testing. A defensible modelling plan would need to define actor types and decision rules, policy boundaries, geographic scope, pathway-specific fuel costs and availability, uncertainty assumptions, and how outputs are checked against observed or published data. Those are questions implied by the advertised objectives, not a published BI0003 specification. The project page does not name software, data providers, a calibration/validation procedure, scenario count, quantitative success threshold or a signed industry data partner. Nor does it promise any particular reduction in emissions.

The policy environment makes these modelling choices consequential. The UK SAF mandate began at 2% of total jet-fuel demand in 2025, rises to 10% in 2030 and 22% in 2040, with tradeable certificates and separate pathway rules. The EU's ReFuelEU Aviation starts at a 2% share at EU airports in 2025, increases to 70% in 2050, and has synthetic-fuel subtargets. CORSIA eligible fuels can reduce operators' offsetting requirements only when they meet ICAO's sustainability and certification rules. These are distinct legal and accounting systems, not interchangeable labels for one incentive. See the UK mandate collection, ReFuelEU Aviation, its implementation FAQ, and ICAO's CORSIA eligible-fuels framework.

School, Programme and Field Context

Imperial College London is the degree-awarding institution identified for the doctorate. BI0003 is listed with the Grantham Research Institute and the Department of Aeronautics. The DPSA describes an interdisciplinary cohort spanning aviation engineering, science and policy; funded candidates have a primary Aeronautics affiliation and a secondary affiliation elsewhere at Imperial. The programme advertises shared training, networking and engagement, but public material does not set out BI0003's training timetable, review/upgrade milestones or any joint-degree arrangement. No external degree-awarding institution is named. The DPSA programme page describes the affiliation structure, and the institute's team page shows a cross-disciplinary group working in aerospace computation and sustainability.

Imperial's REF 2021 institutional summary reported first place overall in the UK. In the submitted Engineering Unit of Assessment, 64.2% of outputs were rated 4-star and 34.4% 3-star. These are historical, institution/unit-level indicators; they do not rate BI0003, the DPSA cohort or either supervisor. The REF outputs table gives the unit profile. The general doctoral application process governs the online university application; the programme-specific application instructions govern the project reference and award materials.

Supervisor and Lab Assessment

Supervisor Research Directions

The official project page names Dr Gbemi Oluleye as primary supervisor and Professor Laura Mainini as project supervisor. Oluleye is an Associate Professor in Sustainable Market Mechanisms at the Centre for Environmental Policy. Her profile describes spatial, data-driven simulation and optimization, integrating heterogeneous evidence and uncertainty to assess how taxes, emissions trading, mandates, CORSIA and subsidies affect low-carbon investment and adoption, including SAF. Mainini is Chair in Aerospace Computational Design in Aeronautics and Associate Director of the Brahmal Institute, with an industry-engagement remit. Her research includes scientific machine learning, multidisciplinary optimization, multifidelity modelling and digital engineering. These profiles suggest a useful policy/economics and computational-aerospace complement, but do not define who will lead each BI0003 workstream. See the Oluleye profile and Mainini profile.

Recent Important Publications

  • Guinane et al. (2026), “Enhancing the economic viability of e-fuels for aviation and shipping decarbonisation through market-based policy interventions.” This original study develops an optimization-based market-penetration model with UK advanced-SAF and e-SAF cases and evaluates contracts for difference, carbon contracts for difference and policy mixes. It reports that policy design can improve modelled fuel-cost competitiveness under its assumptions. For BI0003, it makes the price-support and revenue-stability mechanisms concrete. Its results are scenario-based, and the paper places broader infrastructure, technology-readiness and regulatory conditions outside its quantitative scope. Article.
  • Savage, del Rio Chanona and Oluleye (2024), “Assessing robust policies for the adoption of low-carbon technologies under uncertainty.” The paper formulates robust market-potential assessment under uncertain inputs and tests it on industrial CCUS and hydrogen adoption. It is relevant to designing uncertainty and robustness checks in BI0003, while its industrial cases are not aviation evidence. The reported 40% cost increase is specific to a modeled CCUS case under joint 5% input uncertainty; it is not a general penalty or forecast for this PhD. Imperial repository record.
  • Tan and Oluleye (2026), “Evaluating market-based interventions for heavy-duty zero-emission truck adoption under consumer heterogeneity.” This original study uses an agent-based model across three truck segments and evaluates 56 policy scenarios. It shows how subsidy cost, diesel taxation, actor heterogeneity and competition between technologies can affect policy mixes. That is a close methodological precedent for policy-responsive agents, but truck buyers and truck infrastructure are not airlines, airports or fuel suppliers. Imperial repository record.
  • Trambaiolo, Di Fiore and Mainini (accepted 2025), “On the need for multifidelity approaches for multidisciplinary coupled systems.” A tightly coupled re-entry-vehicle design case illustrates how low-fidelity model errors can propagate and how multifidelity methods can combine higher-fidelity information. This provides computational-design context for model fidelity, not direct evidence about market or SAF modelling. The repository lists the paper as accepted and embargoed pending publication. Imperial repository record.

A separate Oluleye-supervised PhD studies market-based mechanisms and agent-based SAF/LCAF adoption, which indicates current group activity in aviation policy modelling. That work is focused on Saudi aviation and is not BI0003's promised model, data or supervision arrangement. The Centre for Environmental Policy current-PhD page is useful background, not evidence of shared access.

Lab, Resources, and Collaboration Environment

The Brahmal Institute lists researchers in computational methods, aerospace design and sustainable aviation; Mainini's profile describes the MaininiLaB–ASTRID2 group. Oluleye's group also works across environmental policy and process systems engineering. This is a plausible interdisciplinary environment for the advertised research. However, the public project description does not identify a specific airline, airport, fuel producer, government body or data contract. The Institute team page and DPSA overview establish the broader setting, not project-specific partner access.

Funding, Application, and Living Cost

The October 2027 DPSA page gives a 4 January 2027 deadline, 1 October 2027 start, 3.5-year duration, full tuition coverage, a £23,805 annual tax-free stipend, and a generous travel budget. It accepts Home and international students. The application requires the project reference BI0003, programme search term Aeronautics Research (PhD), group Brahmal Institute, and a one-page A4 letter answering two questions, with a maximum of 200 words per answer. Imperial's generic doctoral application guidance says two referees are required. The 2027-entry programme page and doctoral application page are the controlling official references.

There is a material wording conflict to resolve: the programme FAQ says applicants do not submit a research proposal but must submit a personal statement, in addition to the two-question letter; the application instructions describe the letter as being in lieu of a research statement. The FAQ also says decisions are finalized by early March 2026, which predates this October 2027 intake and appears stale. Confirm the correct document set and decision timetable directly with the Institute. The page does not specify the closing time/time zone, stipend payment start, travel-budget amount, visa/IHS support or whether full tuition wording explicitly covers the overseas rate.

Imperial's 2026 general student budget for London gives an average £1,821–£1,893 per month and £22,722 over 12 months. Compared with the advertised £23,805 stipend, that leaves £1,083 per year against the published average before inflation or excluded costs. This is a narrow arithmetic margin, not a disposable-income estimate. The cost page excludes tuition, study materials, flights and insurance; some international students may need up to £1,500 for initial setup. It is neither a PhD-specific nor a 2027 estimate. Imperial separately cautions that visa proof-of-funds rules are not a realistic living budget. See Imperial's 2026 living-cost guide and international visa financial requirements.

Applicant Fit and Preparation

Required Background and Skills

The 2027 programme page asks for a first-class honours Master's (or higher) in Aerospace Engineering or an allied discipline such as Computational Engineering, Mechanical Engineering, Mathematics or Physics. It also specifies a strong background in numerical methods and scientific computing, the ability to develop concepts and prioritize work, creative problem-solving, independent organization, clear technical communication and demonstrated sustainability interest. Applicants with international degree classifications should ask how equivalence is judged; no alternative threshold is published on the project page. International applicants are expressly eligible.

Preferred Experience and Suggested Preparation

No separate preferred software, agent-based-modelling library, aviation employment history or research proposal is listed as an admissions requirement. Based on the advertised methods and supervisor papers, applicants may strengthen their case by showing quantitative modelling or optimization, reproducible coding, data handling, validation/sensitivity analysis and a clear grasp of how market policies affect investment and adoption. These are analyst-suggested preparation points, not additional formal criteria. The two short responses should give specific examples of sustainability leadership actions and explain fit to the programme; clarify whether a separate personal statement is also expected.

Field Outlook and Career Relevance

The field is moving from broad SAF targets toward questions of pathway diversity, supply availability, price support, investment risk, lifecycle accounting and the interaction of national and international policy. The UK mandate establishes an escalating demand obligation and certificates, while the 2026 Department for Transport call asks whether advanced non-HEFA and PtL supply can meet future targets and how to balance deliverability with investor confidence. The Sustainable Aviation Fuel Act 2026 enables revenue-certainty contracts for UK producers. The Jet Zero Taskforce SAF report reviews early mandate operation and financing challenges for first-of-a-kind plants; the government page explicitly says the report is independent and does not represent government policy.

The work could prepare researchers for roles in aviation and sustainable-fuel policy, transport/energy-system modelling, market analysis, sustainability strategy, government or regulatory analysis, consulting and academic research. These are adjacent role families inferred from the methods and domain; there are no BI0003 graduate-placement outcomes. Imperial's PhD career journey describes employer events and ongoing careers support. Skills England's 2026 report identifies engineering and digital professions as cross-sector priorities, not SAF-specific openings. The 2023 UK SAF industry roadmap models up to 60,000 jobs by 2050 under a particular domestic production ramp; that total includes upstream and construction employment and is a scenario, not current vacancies or a forecast of PhD placements. Current SAF supply remains very small by IATA's 2026 estimate, so policy ambition should not be read as an assured labor-market outcome.

Next Actions and Questions to Verify

Before Applying

  1. Ask the Brahmal Institute whether the personal statement is required in addition to the one-page letter and request the current decision timetable.
  2. Confirm the exact deadline time and time zone on 4 January 2027, overseas tuition coverage for the full award, and how non-UK Master's classifications are assessed.
  3. Prepare both 200-word answers with concrete sustainability leadership examples and evidence of quantitative/scientific-computing work.

At Interview

  1. Ask which actors, markets and geographies the model will include, and whether passenger demand is in scope or only optional.
  2. Ask what data, code or partner agreements are already available; how the model will be calibrated/validated; and how fuel-supply, lifecycle-emissions and cost-distribution assumptions will be handled.
  3. Ask how the supervisors divide policy/economic modelling and aerospace systems work, and how UK, EU and CORSIA policy rules will remain distinct in cross-jurisdiction scenarios.
  4. Confirm cohort training, progression milestones, any partner engagement and the research travel budget.

Before Accepting an Offer

  1. Obtain written terms for overseas tuition coverage, stipend payment dates, travel allowance, visa/IHS and relocation support.
  2. Confirm registration conditions, expected review milestones and any obligations attached to the 3.5-year award.

Evidence and Sources

Project and Programme

Supervisors and Research

Aviation Policy, Supply and Careers

Cost and International Study

Sources

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