Research Associate in Optimization and Machine Learning

We are seeking a Research Associate to contribute to the ADOPT collaboration between the Sargent Centre for Process Systems Engineering (Imperial College London) and the JARA Center for Simulation and Data Science (Germany). The successful candidate will develop and apply novel methods in optimisation, with a focus on surrogate modelling and uncertainty quantification, to support advanced decision-making in complex engineering systems. This research sits at the intersection of optimisation theory, numerical analysis, and real-world applications in the process industries.

You can learn more about the Sargent Centre for Process Systems Engineeringand theJARA Center for Simulation and Data Science

As part of a high-profile international collaboration, your role will include:

Addressing the challenge of uncertainty in model-based decision-making pipelines.
Developing and testing scalable algorithms for complex and nonlinear problems arising in industry.
Working closely with academic teams at Imperial and JARA-CSD and engaging with industrial partners to ensure impact.
Publishing high-quality research and presenting your findings at leading international conferences.

A PhD (or near completion)* in optimisation, applied mathematics, machine learning, or a closely related field. (*Candidates who have not yet been officially awarded their PhD will be appointed as Research
Strong theoretical and practical knowledge of optimisation methods.
Experience with surrogate modelling, uncertainty quantification, or scientific computing.
Excellent programming skills in Python, Julia, or related languages.
A proactive, collaborative mindset and the ability to communicate clearly in multidisciplinary teams.

The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
The chance to contribute to a prestigious international collaboration tackling some of the most pressing challenges in optimisation and decision-making.
Access to world-class facilities, support networks, and industrial partnerships.
Opportunities for travel and collaboration with top-tier researchers in the UK and Germany.
Benefit from sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes).
Get access to a range of workplace benefits including a flexible working policy from day 1, generous family leave packages, on-site leisure facilities and a cycle-to-work scheme.
Interest-free season ticket loan schemes for travel.
Be part of a diverse, inclusive, and collaborative research culture with various and resources designed to support your personal and professional .