Generative Biology (EIT DTP)
Designed to train doctoral researchers in cutting-edge areas of generative biology, this course aims to help unlock the full power of biology and enable transformative solutions across healthcare, agriculture, clean energy and beyond.
Full time
- Upcoming application deadline for 2027-28 entry:
- 12:00 midday UK time on Wednesday 6 January 2027
- Expected length
- 3-4 years
- Expected start date
- September 2027
- English language level
- Higher level required
Application deadlines
Final application deadline for entry in 2027-28
Oxford skyline at sunset
About the course
Generative Biology aims to lay the foundations for engineering biology and unlock its potential for the benefit of humanity. To achieve this, two key challenges must be overcome. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write – determining which DNA sequences will generate biological systems that perform desired functions. Research within the Doctoral Training Programme (DTP) will focus on addressing these challenges, helping to unlock the full power of biology and enabling transformative solutions across healthcare, agriculture, clean energy and beyond.
The DTP forms part of the long-term strategic alliance between the University of Oxford and the Ellison Institute of Technology (EIT), which aims to develop innovative solutions and foster future leaders to tackle some of the greatest challenges facing humanity. As such, the programme will engage its students on original doctoral research projects, guiding and training them to produce significant and substantial contributions to the field of Generative Biology.
Course structure
You will start working on your research project from the outset, developing your research skills through hands-on learning in the laboratory of your supervisor(s), some of which will be based at the Generative Biology Institute, at EIT. Projects span a broad range of disciplines relevant to generative biology, including synthetic biology, computational biology, artificial intelligence, genomics, cell biology, nucleic acid chemistry, robotics and laboratory automation, providing students with access to an exceptionally interdisciplinary research environment.
At the beginning of the course, your supervisors will help you assess your needs and ensure that a development plan is put in place, guiding you to take full advantage of relevant lecture courses and training modules within the University that will contribute to the academic development of your research.
Additionally, the DTP will provide an array of activities supporting your research and progression, such as regular lunchtime seminars, cohort building days and an annual symposium, where you will have the opportunity to present your research in a high-trust environment between peers and enjoy social time together. Over time, the programme will plan for some of these sessions to include students from other courses at Oxford to enable networking and knowledge exchange. The DTP will also organise funded retreats where students and supervisors will spend a consolidated block of time together, discussing science outside of the normal context and strengthening working relationships.
Subject to progress, there will also be opportunities for you to suspend status and undertake internships at EIT, allowing you the experience of working on different projects in a commercially focused environment.
Training
You will receive cohort-level training and have the opportunity to undertake training in leadership and innovation.
Research areas
You will have the opportunity to undertake research within the specialised themes of this course.
Course details
Entry requirements
For entry in 2027-28