Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
This role is part of the Julia Anderson Training Programme which provides individuals who are at the early stage of their career with hands-on experience working on projects or activities conducted
-
expected. The ideal candidate will hold a PhD (or equivalent experience) in Engineering, Computer Science, Mathematics, or a closely related discipline. They will have a strong foundation in one or more of
-
As a Research Associate in Data-Driven Optimisation, you will work at the interface of chemical engineering, machine learning and automation, to develop next-generation workflows for the design and
-
. They create a valuable resource for Imperial, which in turn supports our academic community of world leaders in the provision of Engineering, Medicine, Natural Sciences, Business Management, Research and
-
to the success of a top‑ranked computing department. A supportive, collaborative and diverse working environment aligned with Imperial’s values of Respect, Collaboration, Excellence, Integrity and Innovation
-
Imperial College London | Belfast International Airport, Northern Ireland | United Kingdom | 30 days ago
. This is a key role combining strategic partnership development, regulatory expertise, and programme leadership. You will work at senior levels across Imperial, advising leadership on international mobility
-
team, you will help ensure the smooth running of ECRI’s extensive programme of courses, events and tailored support, contributing to a vibrant and supportive research environment across the College. You
-
the development and execution of a data-informed, insight-led event strategy aligned with student recruitment and brand visibility goals. • Oversee the delivery of a dynamic events programme including
-
science in the context of the wider world and to develop interdisciplinary approaches to learning and thinking. This programme includes a range of modules in the fields of Languages, the Humanities and
-
of freshwater systems and are critical for understanding water availability and informing local and global decision-making. Your work will involve developing, testing, and applying novel computational methods