Research Associate in Deep Generative Modelling for Infectious Diseases

Job number MED05814

Faculties Faculty of Medicine

Departments School of Public Health

Salary or Salary range £49,017 - £57,472 per annum

Location/campus White City Campus - Hybrid

Contract type work pattern Full time - Fixed term

Posting End Date 1 Jul 2026 About the role

Are you a machine learning researcher with expertise in deep generative modelling, eager to apply your methods to some of the most pressing challenges in global health? We are looking for a Research Associate to lead methodological development at the interface of deep learning and infectious disease modelling, working within a highly collaborative international team at Imperial College London.

What you would be doing

You will drive forward methods research in deep generative modelling, simulation-based inference, and neural approaches to spatial and spatiotemporal Bayesian inference. Your work will focus on developing principled, scalable tools, including deep generative modelling and neural surrogate models, that address fundamental computational challenges in fitting complex disease models to data. You will have significant freedom to pursue rigorous methodological innovation, with validation and application grounded in the real scientific problem of antimalarial drug resistance in sub-Saharan Africa.

What we are looking for

• A PhD in machine learning, statistics, applied mathematics, computer science, or a closely related quantitative discipline.
• Demonstrated research experience in deep learning and probabilistic machine learning, evidenced by publications, preprints, or open-source contributions.
• Practical experience designing, training, and evaluating deep generative models.
• Strong programming skills in Python, with proficiency in PyTorch or JAX.
• Ability to develop and adapt methods for novel scientific applications, and to communicate them clearly across disciplinary boundaries.
• Being proactive at exploring new research ideas, incusing due diligence.

What we can offer you

• The opportunity to work at the frontier of machine learning and global health, on a project with direct public health relevance.
• A position within a highly interdisciplinary international team spanning machine learning, statistics, genomics, epidemiology, and geography, with strong links to collaborators at UNC Chapel Hill.
• The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
• Grow your career: gain access to Imperial’s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression.
• As a member of research staff you have 10 development days to use to develop your skills and explore your career prospects.
• Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes).
• Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.

Further information

Please note that this is a PhD level role but candidates who have not yet been officially awarded will be appointed as a Research Assistant*.*

The expected start date for this post is on 01st September 2026, and the contract end date will be on 31st August 2028 (a maximum of a two-year contract).

If you require any further details about the role, please contact: Dr Elizaveta Semenova at e.semenova@imperial.ac.uk.

Available documents

Attached documents are available under links. Clicking a document link will initialize its download.

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.

If you encounter any technical issues while applying online, please don't hesitate to email us at support.jobs@imperial.ac.uk. We're here to help.

About Imperial

Welcome to Imperial, a global top ten university where scientific imagination leads to world-changing impact.

Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world’s toughest challenges. Whatever your role, your contribution will have a lasting impact.

As a member of our vibrant community of 22,000 students and 8,000 staff, you’ll collaborate with passionate minds across nine London campuses and a global network.

This is your chance to help shape the future. We hope you’ll join us at Imperial College London.

Our Culture

We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our webpages.

Our values are at the root of everything we do and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.