Job Description
The Role
UCL is seeking a Research Fellow in Computational Synthetic Biology to lead the computational and mathematical components of a BBSRC-funded project focused on designing and engineering robust synthetic microbial communities.
This is an exciting opportunity to contribute to foundational research with wide applications in medicine, manufacturing, and environmental sustainability.
Key responsibilities include:
Developing and refining mathematical models to predict the dynamics of engineered microbial systems.
Building and implementing computational tools for simulation, design, and inference, integrating experimental data into predictive frameworks.
Collaborating closely with experimental scientists to generate and test hypotheses.
Sharing research outputs through high-impact publications, international conferences, and open-source research software/tools.
This post is funded for 2 years initially, with potential to extend for a further 1.5 years.
PhD requirement: Appointment at Grade 7 requires completion of a PhD. Candidates close to completion will be appointed at Grade 6B (£39,148 – £41,833), with progression to Grade 7 (and backdated salary) upon thesis submission.
About You
We are looking for a motivated and collaborative researcher with strong computational and analytical expertise.
Essential requirements:
Background in a numerical discipline (e.g. mathematics, physics, engineering, computer science).
A PhD (or near completion) and/or postdoctoral experience applying these skills to biological or complex systems (e.g. computational biology, systems biology, applied mathematics, bioengineering).
Demonstrated interest in synthetic biology or microbial ecology.
Experience producing or contributing to high-quality research software in any programming language.
Knowledge of statistical inference or machine learning methods (e.g. Bayesian modelling, Approximate Bayesian Computation).
A proven publication record, including at least one first-author paper in a peer-reviewed journal or conference.
Excellent written and verbal communication skills.
Strong teamworking ability in an interdisciplinary environment.
Experience in supervising students at undergraduate or postgraduate level.
High levels of organization, independence, and ambition to deliver impactful research.
Visa Information
This role is eligible for sponsorship under the Skilled Worker visa or the Global Talent visa. UCL welcomes applications from international candidates.
How to Apply
Submit a CV and complete the online application form.
Provide a supporting statement or cover letter outlining how you meet the essential and desirable criteria.
For accessibility requests, reasonable adjustments, or application queries, please contact the HR Administrator.
Further details on UCL’s terms and conditions for research staff can be found here
.