Environmental Change Institute, University of Oxford

Our doctoral students are as diverse as the ECI itself, and conduct their research across the world. We have students carrying out primary data collection on the functioning of forest ecosystems in pristine rainforests in remote Amazonia; developing frameworks for climate change adaptation costings in farming communities in Kenya; alongside projects in the UK, Europe, Asia as well as those undertaking theoretical desk-based studies here in Oxford.


Doctoral topics for 2021

The following projects are proposed DPhil opportunities within the ECI. Please contact individual supervisors for more information and to check whether the projects are still available. Funding opportunities for each DPhil are specific to the project and will be outlined in the descriptions below.

Enquiries about these projects should be directed to the named supervisor below.

National infrastructure systems (energy, transport, digital communications, water, waste management) provide essential services for people and the economy. They are increasingly interdependent, so performance of one system relies on others. Infrastructure is widely regarded as an essential pillar for economic competitiveness and as a contributor to sustainability (Thacker et al. 2019).

The Infrastructure Transitions Research Consortium has over the last ten years developed a unique modelling capability, called NISMOD (Hall et al., 2016), for simulating Britain's infrastructure systems. NISMOD contains modules to simulate Britain's energy, transport, digital and water supply systems. It uses scenarios of population and the economy to estimate future demand for infrastructure services and explore the performance of infrastructure policies and investments to meet those needs. The various simulation models are integrated with a model coupling framework called smif (Usher and Russell, 2019), which orchestrates model coupling, scenario analysis and optimisation.

Now that NISMOD is fully operational there are exciting opportunities for generating new scientific insights and results to guide decision making about national infrastructure systems in Britain. The types of questions that could be explored include:

  • Examination of the implications for infrastructure service provision of different scenarios for population and economic growth;
  • Evaluation of alternative strategies to achieve net zero carbon emissions from infrastructure;
  • Quantification of the most efficient strategies for providing essential services given constraints on infrastructure investments;
  • Examination of the implications of interdependencies between infrastructure sectors, for example due to the electrification of transport;
  • Strategic planning of infrastructure at a sub-national scale e.g. the Oxford-Cambridge Arc.

The research will particularly focus on the application of multi-objective optimisation methodologies to problems of infrastructure planning. We will explore the use of robust control methods and real options analysis to test and compare adaptive strategies for national infrastructure provision.

The project will therefore involve using and adapting existing simulation models of infrastructure systems and development of methods for optimisation and adaptive planning. It will suit students from any quantified background, including engineering, mathematics, economics and the physical sciences. Students should be able to demonstrate aptitude for computer modelling and enthusiasm to address real-world problems of great policy significance.

Candidates for this project from an engineering of physical sciences background would be eligible to apply for funding from Oxford University's EPSRC Doctoral Training Partnership. Successful UK applicants will be eligible for full or part funding. Overseas applicants in need of financial support are encouraged to apply for one of Oxford's several doctoral scholarship schemes for UK or overseas students. Closing dates apply on these schemes and students are encouraged to apply early. Applications are made through the School of Geography and the Environment.

References

  • Otto, A., Hall, J.W., Hickford, A.J., Nicholls, R.J. A quantified systems-of-systems modeling framework for robust national infrastructure planning. IEEE Systems Journal, 10(2) (2016): 385-396. DOI: 10.1109/JSYST.2014.2361157
  • Hall, J.W., Tran, M., Hickford, A.J. and Nicholls, R.J. (eds.) The Future of National Infrastructure: A System of Systems Approach, Cambridge University Press, 2016.
  • Hall, J.W. Using system-of-systems modelling and simulation to inform sustainable infrastructure choices, IEEE Systems, Man and Cybernetics Magazine, DOI:10.1109/MSMC.2019.2913565.
  • Hall, J.W., Thacker, S., Ives, M.C., Cao, Y., Chaudry, M., Blainey, S.P. and Oughton, E.J., Strategic analysis of the future of national infrastructure, Proceedings of the Institution of Civil Engineers: Civil Engineering, 170(1) (2017): 39-47. DOI: 10.1680/jcien.16.00018
  • Thacker, S., Adshead, D., Fay, M., Hallegatte, S., Harvey, M., Meller, H., O'Regan, N., Rozenberg, J. and Hall, J.W. Infrastructure for Sustainable Development, Nature Sustainability, 2 (2019):324-331. DOI: 10.1038/s41893-019-0256-8.
  • Usher, W. and Russell, T., 2019. A Software Framework for the Integration of Infrastructure Simulation Models. Journal of Open Research Software, 7(1), p.16. DOI: http://doi.org/10.5334/jors.265

Planning national infrastructure, in all parts of the world, involves difficult choices about where infrastructure is located in order to efficiently provide services whilst minimising negative impacts on people and the environment. Versions of this spatial allocation problem exist in many situations. New spatial datasets from satellites, sensors and crowd sourcing are providing information that can enable better navigation of the trade-offs associated with spatial allocation.

We are currently working on two versions of this spatial allocation problem in the context of developing countries:

  1. Optimisation of drinking water supplies in coastal Bangladesh: There is extensive experience of providing drinking water infrastructure (tube well, pond sand filters) for communities in the coastal zone in Bangladesh (Flanagan et al., 2012). There is also growing interest in whether more centralised piped systems might help to improve water quality, helping to address severe problems with arsenic and saline contamination. One of the lessons that has been learnt is that different systems perform well in different circumstances.
    Thanks to the work of the REACH project, we have growing understanding of the spatial heterogeneity in Polder 29 in Bangladesh, including GIS of population of 59,000 people, a household survey and audit of water supply infrastructure. That provides evidence to develop methodology for prioritising water supply interventions in a way which is tuned to local conditions. Using a combination of GIS and optimisation (in terms of cost-effectiveness with respect to multiple criteria) it is possible to explore options for prioritising drinking water infrastructure interventions to achieve the water supply targets in SDG6. We will then seek to generalise the method to a scalable methodology that can be applied extensively in Bangladesh.
  2. Electrification of transport is widely regarded as an opportunity for developing countries to 'leapfrog' fossil-fuel dependent transport and associated infrastructure networks, by co-developing renewable energy supplies and vehicle charging points. There are however many different versions of how such systems might develop (e.g. with centralised electricity grids, or with micro-grids). What system is viable depends, in part, on local context (population density, building density, wealth, existing infrastructure), but is also subject to other big uncertainties, such as the relative price of technologies and the business models that are adopted for service provision.
    We have developed unique datasets of road infrastructure globally (Koks et al., 2019) and methodology for simulating electricity transmission and distribution networks all over the world. This is coupled with population datasets for analysing energy and transport demand and global datasets of potential for renewable energy supply. We propose to combine these datasets with different scenarios of the costs and business models of renewable energy and electric vehicles to generate efficient scenarios for roll-out of these technologies.

These are just two examples of the sorts of problems that could be addressed with methodologies for spatial allocation and optimisation (Faiz and Krichen, 2012). We expect that other opportunities will materialise during the course of the research, so the thesis will combine methodological development with a series of case studies. Overall, we would like to develop a broad framework to characterise different infrastructures and their relationship with the space and people around them. We wish to incorporate multiple sustainability indicators which can help to inform decisions about infrastructure provision to achieve the SDGs. We aim to demonstrate how market forces in infrastructure service provision (for example the proliferation of private tube wells in rural Bangladesh) can be combined with targeted development assistance and public investment to provide networks that leave no one behind.

The project will involve statistical analysis of survey data and application of methods for spatial optimisation. The derived solutions need to take account of local economic, societal and governance conditions, so the student should also study these important contextual issues. Thus the student should have a strong quantified background (e.g. engineering, economics, physics, geostatistics) but should also have a good appreciation of the wider societal context of infrastructure service provision.

Candidates for this project from an engineering of physical sciences background would be eligible to apply for funding from Oxford University's EPSRC Doctoral Training Partnership. Successful UK applicants will be eligible for full or part funding. Overseas applicants in need of financial support are encouraged to apply for one of Oxford's several doctoral scholarship schemes for UK or overseas students. Closing dates apply on these schemes and students are encouraged to apply early. Applications are made through the School of Geography and the Environment.

References
  • Faiz, S. and Krichen, S., 2012. Geographical information systems and spatial optimization. CRC Press.
  • Flanagan, S. V., Johnston, R. B. and Zheng, Y. (2012). Arsenic in tube well water in Bangladesh: health and economic impacts and implications for arsenic mitigation. Bulletin of the World Health Organization, 90, 839-846.
  • Koks, E.E., Rozenberg, J., Zorn, C., Tariverdi, M., Vousdoukas, M., Fraser, S.A., Hall, J.W., Hallegatte, S. A global multi-hazard risk analysis of road and railway infrastructure assets. Nature Communications, 10(1) (2019): 2677. DOI: 10.1038/s41467-019-10442-3.

The relationship between infrastructure provision and spatial patterns of economic activity is only partially understood. Infrastructure serves multiple purposes, as a factor of production, providing access to markets and enabling agglomeration and innovation. Because of the complexity of these processes, the empirical evidence of the effects is often inconclusive. Theoretically, the relationship has been addressed through the frameworks of New Economic Geography, input-output modelling and spatial computable general equilibrium models. Each of these approaches has their limitations as well as their strengths.

Vast investments in infrastructure, in particular in Asia, mean that there are large-scale changes in the spatial structure of global networks and the economies that they serve. This means that there are new empirical data to characterise these phenomena and parameterise models.

The proposed research will take a combination of a model-based and empirical approach to understanding the relationship between infrastructure and economic development at broad scales. The model-based analysis will start with stylised models, possibly reproducing the insights from NEG models, but introducing other functions of infrastructure (e.g. energy and water as factors as production; roads as factors of access to economic activities). Meanwhile, we will seek datasets that can be used to characterise spatial changes. The analysis will be used to understand future demands for infrastructure services and how patterns of economic development may evolve in future. The work will be applied to a large geographical region, such as a national-scale or multi-national scale to see how infrastructure developments can create positive and negative effects for different regions.

The project will involve computer model development, along with parameterization and validation using empirical data. Candidates must therefore be ready to take on a highly interdisciplinary analysis and modelling task. It will require a candidate with advanced computational and mathematical skills, coming from an engineering, economics or physical sciences background. Students should be able to demonstrate aptitude for computer modelling and enthusiasm to address real-world problems of great policy significance.

Candidates for this project from an engineering of physical sciences background would be eligible to apply for funding from Oxford University's EPSRC Doctoral Training Partnership. Successful UK and EU applicants will be eligible for full or part funding. Overseas applicants in need of financial support are encouraged to apply for one of Oxford's several doctoral scholarship schemes for UK or overseas students. Closing dates apply on these schemes and students are encouraged to apply early. Applications are made through the School of Geography and the Environment.

References
  • Venables, A., Laird, J. and Overman, H. Transport investment and economic performance: Implications for project appraisal. (Department for Transport, 2014).
  • Bird, J. H. and Venables, A.J. Growing a Developing City: A Computable Spatial General Equilibrium Model Applied to Dhaka. The World Bank, 2019.
  • Lall, S. V. and Mathilde S. M. L. "Who Wins, Who Loses? Understanding the Spatially Differentiated Effects of the Belt and Road Initiative." 2019.
  • Hall, J.W., Tran, M., Hickford, A.J. and Nicholls, R.J. The Future of National Infrastructure: A System of Systems Approach, Cambridge University Press, 2016.

A collaborative EPSRC CASE PhD research project between the University of Oxford and Thames Water

There is growing concern about the resilience of water supplies in England, given the pressures of population growth, climate change, water quality challenges, different spatial stress patterns and the more extreme transitory nature of changes that the supply systems have to cope with. There is also concern about the sustainability and resilience of ecosystems that inhabit rivers and wetlands. These pressures are particularly acute in the South East of England which is highly populated, is less well endowed with water resources than some other parts of the country and is home to precious aquatic environments including chalk streams.

To address these challenges, government, regulators and water companies have adopted a regional approach to water resource planning, which recognises the need for a broad-scale systems approach including the inter-dependence between neighbouring water companies. The approach is most developed in the South East and East of England, where pressures on water resources are most acute. Water Resources South East (WRSE) is an alliance of the six water companies that cover the South East region of England which is developing a collaborative, regional approach to managing water resources. The WRSE regional resilience plan will be used as a blueprint for water supply investment by each water company in the region.

WRSE and its constituent companies, including Thames Water, have already been responsible for research and innovation in pursuit of their resilience objectives, including through previous research projects in the University of Oxford. Furthermore, the University of Oxford has developed a national water resource system model, which includes the WRSE region, as well as more detailed models of the Thames catchment. There is already, therefore, a strong basis for further research. Several pressing research questions remain:

  1. Groundwater response to water withdrawals and climatic conditions. Groundwater in the region is well-studied, but the dynamics of groundwater response are still not properly included in water resource system models. This is critical in a region where water supplies and surface water environments are so dependent on groundwater. We propose to use a combination of the new groundwater model developed in the HydroJULES project and a simpler empirical method based on borehole measurements to develop an intermediate complexity fully coupled groundwater model, potentially suitable for inclusion in WRSE simulation modelling.
  2. Ecosystem resilience. Sensitivity of the aquatic environment to altered flow and groundwater regimes is not fully understood. We know that water bodies in a healthy condition are more able to recover from occasional shocks like droughts. There are more opportunities for enhancing ecosystems, for example through constructed wetlands, but whilst there have been many studies of restoration projects, the evidence base is difficult to generalize. We propose to develop an approach based on statistical analysis of ecosystem response to water levels and flow conditions, which fully incorporates uncertainties as the basis for an 'adaptive management' approach to enhancing ecosystem resilience, working with WRSE to embed thinking and methods into their options appraisal, impact mitigation and investment planning.
  3. Water quality responses to land use changes and farming practices. Build on the research previously undertaken by Oxford and other research institutions which derive a series of relationships or simple models that can simulate the impact of climatic events, different crops or farming practices on the raw water quality within catchments and the consequences this could have on the availability of water in the future. This module would be incorporated into the regional simulation model.
  4. The next generation of regional simulation and investment modelling. The new understanding of groundwater behaviour and ecosystem resilience will be incorporated in a regional water resource systems model driven by regional synthetic rainfall and climate conditions. The research will demonstrate how a regional simulation approach can be used to test and optimize investments and policies for water resources management and explore trade-offs between different users of water including the aquatic environment. Research will also explore uses of simulation modelling beyond 'traditional' water resources planning metrics to inform and guide future policy development.
  5. Exploring dynamic intra- and inter-regional transfers. Transfers between companies within WRSE and between WRSE and other regions have the potential to provide significant benefits, making more efficient use of resources that are already available. Currently, such transfers are considered in a relatively simplistic manner, often as fixed 'bulk supplies'. This research will explore how transfers could be optimised to bring about a more integrated water supply system across the South East, and how such an integrated scheme could be considered within existing water resources planning frameworks, as well as using new simulation and investment modelling methods developed in this research.

The research will involve a combination of statistical analysis (of groundwater and ecology) and hydrological modelling (of groundwater and surface water systems). It will suit students from any quantified background, including engineering, economics, physical and environmental sciences. Students should be able to demonstrate aptitude for computer modelling and enthusiasm to address real-world problems of great policy significance.

This project is sponsored as collaborative CASE award as part of the EPSRC Doctoral Training Partnership with the University of Oxford. UK applicants will be eligible for full funding including a CASE supplement to their stipend. Exceptional overseas applicants may also be considered for funding.

Application process

Applicants should address informal enquiries to Professor Jim Hall.

There will be a two-stage assessment process, first involving an interview in Oxford with Professor Hall and representatives from Thames Water and WRSE. The preferred candidate will then have to pass the formal admissions process in the School of Geography and the Environment.

  1. Please send a CV and covering letter to Dr Helen Gavin by 11 December 2020. Please summarise your background and interest in this subject, and suitability for the DPhil opportunity. More information on entry requirements can be found at the link below.
  2. Interviews will be held by video in early January 2021.
  3. The successful candidate will have to submit a full application including a CV and research proposal to the School of Geography and the Environment by 22 January 2021 following the instructions on the University website.
References
  • Borgomeo, E., Mortazavi-Naeini, M., O'Sullivan, M.J., Hall, J.W. and Watson, T. (2016) Trading-off tolerable risk with climate change adaptation costs in water supply systems. Water Resources Research, 52(2). DOI: 10.1002/2015WR018164.
  • Borgomeo, E., Pflug, G., Hall, J.W. and Hochrainer-Stigler, S. (2015) Assessing water resource system vulnerability to unprecedented hydrological drought using copulas to characterize drought duration and deficit, Water Resources Research, 51: 8927-8948. DOI: 10.1002/2015WR017324.
  • Borgomeo, E., Hall, J.W., Fung, F., Watts, G., Colquhoun, K. and Lambert, C. (2014) Risk based water resources planning, incorporating probabilistic non-stationary climate uncertainties. Water Resources Research, 50: 6850-6873. DOI: 10.1002/2015WR018164
  • Dobson, B., Coxon, G., Freer, J., Gavin, H., Mortazavi-Naeini, M. and Hall, J. (2020) The Spatial Dynamics of Droughts and Water Scarcity in England and Wales. Water Resources Research, 56. DOI: 10.1029/2020WR027187
  • Lake, P.S. (2003) Ecological effects of perturbation by drought in flowing waters. Freshwater Biology, 48(7): 1161-1172.
  • Poff, N.L. et al. (2016) Sustainable water management under future uncertainty with eco-engineering decision scaling. Nature Clim. Change, 6: 25-34. DOI: 10.1038/nclimate2765

There is growing interest in the potential for Nature-Based Solutions (NbS) to substitute for or complement conventional 'grey' infrastructure. This could include:

  • Ecosystem restoration, afforestation and changes to land management practices to reduce flood risk, substituting for conventional flood defences;
  • Creation or restoration of wetlands to enhance the recharge of groundwater supplies, substituting for dams and reservoirs;
  • 'Blue-green' infrastructure in cities to help address the risks of surface water flooding, substituting for piped urban drainage, whilst also providing cooling during heatwaves substituting for air conditioning;
  • Mangrove and coastal ecosystem restoration to protect against storm surges and hurricanes, substituting for coast protections;
  • Restoration of catchment vegetation to purify water, substituting for water treatment.

As well as providing ecosystem services that may enhance or even improve on 'grey' infrastructure, these Nature-Based Solutions (NbS) provide multiple co-benefits, including carbon sequestration, natural habitats for biodiversity that can support agricultural productivity (pollination, pest control and soil formation), and spaces for recreation that support mental and physical health. There is a growing number of examples of implementation of these NbS, though the evidence for their effectiveness usually comes from relatively small case studies (see; www.naturebasedsolutionsevidence.info).

The Infrastructure Transitions Research Consortium has over the last ten years developed a unique modelling capability, called NISMOD (Hall et al., 2016), for simulating infrastructure systems in the UK and in several other countries around the world, including St Lucia and Ghana. We wish to take NISMOD a significant step further by incorporating NbS as an infrastructure option and comparing the costs and benefits of NbS with 'grey' infrastructure. We would like to conduct a large-scale assessment so we can compare national infrastructure plans with integrated pathways that incorporate NbS to the greatest possible extent. We wish to demonstrate how nature can be preserved and restored whilst delivering the infrastructure services that people need and plotting a pathway of climate-compatible development.

The research will involve analysis of the evidence for the socioeconomic and ecological effectiveness of the full range of NbS and then development of methodology to identify how and to what extent NbS might substitute for or complement conventional grey infrastructure investments. We will examine ways of quantifying the costs and benefits of NBS alongside grey infrastructure. We will identify a large-scale domain, which may be at national or continental scales, and apply spatial optimisation methodology to incorporate NBS in infrastructure investment programmes.

The project will involve a combination of evidence review, geospatial analysis, decision analysis and multi-objective optimisation. It will suit students from any quantified background, including environmental sciences, engineering or economics. Students should be able to demonstrate aptitude for computer modelling and geospatial analysis, and enthusiasm to address real-world problems of great policy significance.

This project is advertised as part of Oxford University's Doctoral Training Partnership in Environmental Research, so UK and EU applicants will be eligible for full or part funding. Overseas applicants in need of financial support are encouraged to apply for one of Oxford's several doctoral scholarship schemes for UK or overseas students. Closing dates apply on these schemes and students are encouraged to apply early. Applications are made through the School of Geography and the Environment.

Infrastructure systems that deliver essential services to society (e.g. energy, water, transport and telecommunications) are increasingly regarded as being cyber-physical systems, as they are controlled by digital networks and depend upon software and digital communication systems. The risks to these systems have been widely studied, but from rather different perspectives. There has been extensive research, much of it by our group, on physical risks to infrastructure networks, with a focus on weather-related extremes (Koks et al., 2019, Lamb et al., 2019) but also including terrorist threats (Oughton et al., 2019). Meanwhile, there has been extensive research on questions of cyber security for infrastructure networks, for example relating to the security of the Internet of Things (IoT). Our aim in this project is to bring these perspectives together.

In the first instance the focus will be on modelling the networks of interdependent electricity and telecommunications systems. We have a fairly complete model of electricity transmission and distribution networks in Britain, and recently as part of research with the National Infrastructure Commission we coupled this with a representation of telecommunications networks in Britain.

The DPhil project will involve modelling of electricity and digital communications networks (including SCADA systems), which we will seek to validate with data on faults in the electricity and telecommunications networks. This will be used to model possible interdependent and cascading failures. The analysis will be used to identify how these interdependent networks can be made more resilient. For example, what is the potential benefit of increased connectivity or backup capacity within the network? We also wish to examine how technological trends (like electrification of transport and the proliferation of renewable energy supply technologies) could impact the resilience of infrastructure networks.

The project will therefore involve using and adapting existing simulation models of infrastructure systems and development of methods for vulnerability analysis and optimisation. It will suit students from any quantified background, including engineering, mathematics and the physical sciences. Students should be able to demonstrate aptitude for computer modelling and enthusiasm to address real-world problems of great policy significance.

Candidates for this project from an engineering of physical sciences background would be eligible to apply for funding from Oxford University's EPSRC Doctoral Training Partnership. Successful UK applicants will be eligible for full or part funding. Overseas applicants in need of financial support are encouraged to apply for one of Oxford's several doctoral scholarship schemes for UK or overseas students. Closing dates apply on these schemes and students are encouraged to apply early. Applications are made through the School of Geography and the Environment.

References:
  • Koks, E., Pant, R., Thacker, S., Hall, J.W. Understanding business disruption and economic losses due to electricity failures and flooding, International Journal of Disaster Risk Science, 10(2019): 421-438. DOI:10.1007/s13753-019-00236-y
  • Lamb, R., Garside, P., Pant, R. and Hall, J.W. A network-scale analysis of the risk of railway bridge failure from scour during flood events in Britain. Risk Analysis, 39(11) (2019): 2457-2478. DOI: 10.1111/risa.13370.
  • Oughton, E., Ralph, D., Leverett, E., Pant, R., Thacker, S., Hall, J.W., Copic, J., Ruffle, S. and Tuveson, M. Stochastic counterfactual analysis for the vulnerability assessment of cyber-physical attacks on electricity distribution infrastructure networks, Risk Analysis, 39(9) (2019): 2012-2031. DOI: 10.1111/risa.13291.
  • Thacker, S., Barr, S., Pant, R., Hall, J.W., and Alderson, D. Geographic hotspots of critical national infrastructure. Risk Analysis, 11(1) (2018): 22-33. DOI: 10.1111/risa.12840.
  • Thacker, S., Kelly, S., Pant, R. and Hall, J.W. Evaluating the benefits of adaptation of critical infrastructures to hydrometeorological risks. Risk Analysis, 38(1) (2018): 134-150. DOI: 10.1111/risa.12839.
  • Thacker, S., Hall, J.W. and Pant, R. Preserving key topological and structural features in the synthesis of multi-level electricity networks for modeling of resilience and risk. Journal of Infrastructure Systems, ASCE, 24(1) (2018): 04017043. DOI: 10.1061/(ASCE)IS.1943-555X.0000404
  • Thacker, S., Pant, R. and Hall, J.W. System-of-systems formulation and disruption analysis for multi-scale critical national infrastructures, Reliability Engineering and Systems Safety, 167(2017): 30-41. DOI: 10.1016/j.ress.2017.04.023.

Examples of current research

Scott Thacker

Reducing the risks associated with infrastructure system failures due to extreme climatic events.

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Abrar Chaudhury

Resilience and adaptive capacity of food systems to climate change.

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Chase Sova

A systematic framework for integrated climate change adaptation.

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Funding

Our students receive an impressive rate of funding through scholarships and bursaries from wide sources, including research councils, consulates and increasingly from industry. This rise in industry finance is a reflection of the applied nature and relevance of the subjects selected for supervision.

In 2013 we were selected to form part of the new NERC and ESRC Doctoral Training Programmes, offering new students the opportunity to pursue a comprehensive and fully funded doctoral training experience.

For details of the NERC Scholarships please see the Oxford Doctoral Training Partnership.

For details of the ESRC Scholarships please see the Oxford Doctoral Training Centre.

ECI doctoral students may also be eligible for funding from the EPSRC Doctoral Training Partnership award to Oxford

Further information is available on the Research Councils UK website.

You can explore Oxford University's fees, funding and scholarship search for more information.


Finding a supervisor

DPhil students are required to identify primary and secondary supervisors. If you wish to work with an ECI researcher you should contact them directly to discuss your proposed topic. The following ECI staff are available as primary DPhil supervisors:

Many members of the School of Geography and the Environment's academic staff have environmental interests and may co-supervise with staff of ECI if they are interested in the project and are not already oversubscribed in terms of supervision.

A modest number of doctoral research positions and fellowships are associated with ECI research projects and in a few cases these may be accommodated within ECI research space.