Research Associate in Deep Generative Modelling for Infectious Diseases

Research Associate in Deep Generative Modelling for Infectious Diseases focuses on ability to develop and adapt methods for novel scientific applications, and to communicate them clearly across disciplinary boundaries.

Skills and requirements

• Ability to develop and adapt methods for novel scientific applications, and to communicate them clearly across disciplinary boundaries.
• 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.

Confirmed role details

• Gain access to Imperial’s sector-leading as well as opportunities for promotion and progression.
• As a member of research staff you have 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 and resources to support your personal and professional.

Candidate fit

• It would suit someone who can bring being proactive at exploring new research ideas, incusing due diligence to the role.

Additional role context

• Leading methodological development at the interface of deep learning and infectious disease modelling, working within a highly collaborative international team at Imperial College.
• Driving forward methods research in deep generative modelling, simulation-based inference, and neural approaches to spatial and spatiotemporal Bayesian inference.