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Synthetic Biology and Control Engineering● OpenPreview

PhD Studentship in Control and Engineering Biology

Explore interdisciplinary research at the intersection of synthetic biology, control engineering, AI, and robotics for scalable biotechnological solutions.

Best for:Best for interdisciplinary researchers with a strong background in engineering, biology, computer science, or mathematics, eager to contribute to scalable biotechnological innovations.

University of Oxford · Oxford, United Kingdom · R1 · First-stage researcher
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Synthetic BiologyControl EngineeringArtificial Intelligence in BiologyRobotics for Experimental AutomationBiotechnological Scale-UpDirected Evolution
Deadline
Dec 2, 2026
48 days
Funding
Salaried
£21.8k/yr
Start date
October 2027
Full-time
Location
Oxford
United Kingdom

Overview

This 3.5-year D.Phil. studentship at the University of Oxford focuses on advancing synthetic biology, control engineering, AI, and robotics to address global biotechnology challenges. The project offers flexibility to develop expertise in areas such as microbial engineering, AI-driven biosystem design, or robotic control platforms. Candidates will collaborate with a multidisciplinary team, including academic and industrial experts, under the EPSRC Programme Grant *EEBio*. The studentship covers full tuition fees for UK students and provides a competitive stipend, with potential flexibility for international applicants. Ideal for those aiming to build a career in academia, industry, or entrepreneurship.

synthetic biologycontrol systemsAI-driven biosystemsmicrobial engineeringbiotechnology scale-uprobotics in biologyEPSRC-funded researchinterdisciplinary PhD

What you'll do

  • Develop and implement innovative approaches at the intersection of synthetic biology, control engineering, AI, and robotics to address global biotechnological challenges.
  • Conduct research on genetically engineering microbes to alter their form and function, or design AI-driven methods for biosystem reliability.
  • Design and build robotic platforms for automated experimental work and discovery.
  • Collaborate with a multidisciplinary team of academic and industrial experts to advance biotechnological applications.
  • Publish findings in peer-reviewed journals and present research at national and international conferences.
  • Contribute to the broader goals of the EPSRC Programme Grant *EEBio* and engage with industrial and academic partners.

Requirements

Degree required: A first-class or strong upper-second-class (2:1) degree in Engineering, Materials Science, Computer Science, Physics, Biology/Biotechnology, Chemistry/Biochemistry, or Mathematics.

Degree offered: D.Phil. (Doctor of Philosophy)

Language: English; proficiency expected at a level suitable for academic research and communication

Instruction: English

Required skills
  • Excellent written and spoken English communication skills
  • Strong academic background in relevant STEM disciplines
Nice to have
Expertise in microbiology, bacteriology, or synthetic biologyExperience in applied mathematics, computer science/AI, or control engineeringBiological laboratory skillsProgramming or software engineering proficiencyElectrical engineering and robotics prototyping experience
Eligibility
  • Open to UK students for full award (home fees plus stipend)
  • Potential flexibility for international students; contact supervisors for details
  • No explicit age or prior experience caps

Funding & terms

Type
Salaried
Amount
£21.8k/yr
Duration
3.5 years
Programme
EPSRC Programme Grant *EEBio*
University of Oxford

How to apply

Deadline: 2026-12-02 (Europe/London)

Candidates must submit a graduate application form through the University of Oxford’s portal and meet the graduate admissions criteria. Informal enquiries should be directed to the supervisors via email. Quote reference code **27ENGCO_HS** in all correspondence.

Documents required
  • CV
  • Cover letter
  • Graduate application form
  • Transcripts of previous degrees
  • Two reference letters
↗Apply on site

Contact

Harrison Steel and Antonis Papachristodoulou· Supervisors

harrison.steel@eng.ox.ac.uk, antonis@eng.ox.ac.uk

HS
Prof.
Harrison Steel
Engineering Science
Lab
EEBio: Efficient Engineering and Control of Predictable and Reliable Biotechnologies
University of Oxford
EPSRC Programme Grant *EEBio*United Kingdom
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