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Engineering and Technology● OpenPreview

PhD Studentship in Sustainable and Circular AI Systems

Investigate sustainable hardware, critical raw materials, and circular economy strategies for AI infrastructure.

Best for:Best for engineering graduates with a strong quantitative modelling background interested in sustainable AI and circular economy strategies.

University of Oxford · Oxford, United Kingdom · R1 · First-stage researcher
More professors at University of Oxford
Circular EconomySustainable AIHardware InfrastructureCritical Raw MaterialsLife Cycle AssessmentQuantitative Modelling
Deadline
Dec 2, 2026
42 days
Funding
Salaried
£21.8k/yr
Start date
October 2027
Fixed-term
Location
Oxford
United Kingdom

Overview

This 3.5-year D.Phil. studentship at the University of Oxford investigates how the rapid expansion of Artificial Intelligence can be supported by sustainable and circular hardware and infrastructure. Operating within the Department of Engineering Science and the Circular Economy and Sustainability Lab, the researcher will map computing requirements to physical hardware and material supply chains. The project examines how lifetime extension, reuse, and remanufacturing can reduce environmental impacts while maintaining computational performance. The successful candidate will work closely with academic and industry partners to develop future infrastructure scenarios.

DPhil studentshipsustainable AIcircular economyhardware infrastructurecritical raw materialslife cycle assessmentOxfordengineering

What you'll do

  • Develop scenarios connecting AI computational performance with physical hardware and material requirements.
  • Map computing infrastructure demands to underlying raw materials to identify supply-chain bottlenecks.
  • Investigate how alternative hardware lifespans and circular strategies reduce environmental impact.
  • Contribute to the Circular Electricals and Electronics Project objectives.
  • Collaborate with industry stakeholders and present research findings to relevant audiences.
  • Publish research outcomes in leading academic venues and project reports.

Requirements

Degree required: First class or strong upper second-class undergraduate degree with honours in Engineering or a related discipline

Degree offered: PhD

Language: English; excellent written and spoken communication skills

Instruction: English

Required skills
  • Quantitative modelling and analysis of engineering, material, or technology systems
  • Strong academic background in engineering or a related discipline
  • Excellent written and spoken English communication skills
Nice to have
Experience in Material Flow Analysis or Life Cycle Assessment modelling techniquesFamiliarity with circular economy strategies, sustainable engineering, or design for disassemblyKnowledge of computing hardware, electronics, data centres, or AI infrastructurePrior experience contributing to academic research projectsDemonstrated ability to engage and collaborate with industry partners
Eligibility
  • Open to Home and overseas students

Funding & terms

Type
Salaried
Amount
£21.8k/yr
Duration
3.5 years
Programme
Department of Engineering Science
Department of Engineering Science

How to apply

Deadline: 2026-12-02

Candidates must submit a graduate application form through the University of Oxford website and meet all graduate admissions criteria. Applicants should quote reference 27ENGEL_LC in their application and all related correspondence. Informal enquiries can be directed to the lead supervisor via email.

Documents required
  • Graduate application form
  • Undergraduate transcripts
  • Reference letters
  • CV
↗Apply on site

Contact

Lucia Corsini· Professor

lucia.corsini@eng.ox.ac.uk

LC
Prof.
Lucia Corsini
Department of Engineering Science
Lab
Circular Economy and Sustainability Lab
University of Oxford
United Kingdom
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