Research Fellow in Computational Synthetic Biology(UK visa sponsorship available)

Job Description

About the Role

We are seeking a Research Fellow in Computational Synthetic Biology to lead the computational and mathematical aspects of a BBSRC-funded project on engineering robust, modular synthetic microbial communities.

This is a unique opportunity to work at the interface of mathematical modelling, computational biology, and experimental synthetic biology, addressing fundamental questions with applications in medicine, manufacturing, and environmental remediation.

In this role, you will:

Develop and refine mathematical models of microbial interactions.

Implement computational simulation, design, and inference frameworks to integrate empirical data into predictive models.

Work closely with experimental collaborators to ensure tight integration of modelling and experimental validation.

Disseminate findings through peer-reviewed publications, conference presentations, and research software/tools of production quality.

This post is funded for an initial two years, with the possibility of extension to 3.5 years in total.

PhD requirement: Appointment at Grade 7 is subject to completion of a PhD. If not yet awarded, candidates will be appointed at Grade 6B (£39,148 – £41,833 per annum), with salary backdated to Grade 7 on submission of the PhD thesis.

About You

The ideal candidate will bring strong quantitative and computational expertise, along with a collaborative and interdisciplinary approach.

Essential criteria:

Background in a numerate discipline (mathematics, physics, engineering, computer science, etc.).

PhD (or near completion) and/or postdoctoral experience applying these skills to biological or complex systems (e.g., computational biology, applied mathematics, systems biology, or bioengineering).

Demonstrated interest in synthetic biology or microbial ecology.

Proven ability to produce or contribute to high-quality research software in any programming language.

Experience with statistical inference or machine learning (e.g., Bayesian modelling, Approximate Bayesian Computation).

Strong publication record, including at least one first-author paper in a peer-reviewed journal or conference.

Excellent communication skills (written and verbal).

Strong teamwork skills with the ability to collaborate in an interdisciplinary environment.

Supervisory experience with undergraduate, graduate, or postgraduate students.

Motivation, organizational ability, independence, and ambition to drive forward a successful research project.

Visa Information

This role meets the eligibility criteria for a Skilled Worker visa or a Global Talent visa under UK Visas and Immigration rules. UCL welcomes applications from international candidates requiring sponsorship.

How to Apply

Upload a CV and complete the online application form.

Provide a supporting statement or cover letter explaining how you meet the essential and desirable criteria.

For queries about the application process, reasonable adjustments, or accessible formats, please contact the HR Administrator.

More information about UCL’s Terms and Conditions of Service for Research and Professional Services Staff can be found here
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