Job Description

Job number

ENG03546

Faculties

Faculty of Engineering

Departments

Department of Electrical and Electronic Engineering

Salary or Salary range

48,056 - 54,063 per annum

Location/campus

South Kensington Campus - On site only

Contract type work pattern

Full time - Fixed term

Posting End Date

9 Jul 2025

About the role

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Applications are invited for the above post to work with Professor Christos Bouganis and his team at Imperial College London for a project funded by the Commission of the European Communities.



The successful candidate will be integral to delivering on the project called "Human-centred generative Ai fraMework for culturaL industriEs' digital transiTion" - HAMLET", https://hamlet-project.eu. Its mission is to make Generative AI benefits accessible to entities of all sizes, in order to foster a sustainable digital transition. The team at Imperial focuses on the DNN model optimization and deployment in an attempt to democratize the use of generarative AI by reducing the cost of its use through a reduction on their computational requirements as well as to further enable its use by reducing the latency of their execution in a collaborative environment in an edge-cloud computing setting.

What you would be doing

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What you would be doing:

The successful candidate will research and develop methodologies that optimise the deployment of DNN models, and more specifically models in the space of generative AI, by considering a) the opportunities provided from the synergy of local and cloud computing, b) the robustness of the targeted DNN models by pushing further the model compression due to the specific application domain, c) the opportunities raised by modern device architectures and their native support for DNN loads.

What we are looking for

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The successful candidate:


Will have a PhD (or be very near completion or equivalent) in engineering, mathematics, physics, or a related topic. Experience with DNN theory and the mapping of DNN models on a device. Experience in optimizing DNN models for deployment including pruning and quantisation. Experience with Generative AI Experience with programming in CUDA.

What we can offer you

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An opportunity to play a key role in a multidisciplinary team driving innovation in the deployment of deep neural network (DNN) models across a continuum of edge-to-cloud computing platforms. Close interaction with the highly motivated and diverse team of Prof. Bouganis all working on researching hardware architectures and algortihms for the acceleration of Deep Neural Networks (https://www.imperial.ac.uk/intelligent-digital-systems/)

Further information

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Professor Bouganis' team is based at Imperial College's South Kensington campus in the heart of London, UK. Professor Bouganis is an expert in the design of intelligent digital systems and leads the iDSL group at Imperial College (https://www.imperial.ac.uk/idsl), with a focus on the theory and practice of reconfigurable computing and design automation, mainly targeting the domains of Machine Learning, Computer Vision and Robotics.



This full-time, in-person postdoctoral position is based at Imperial College's South Kensington campus in London, UK and is funded for 24 months, starting in September 2025.


If you require any further details on the role please contact: Christos Bouganis christos-savvas.bouganis@imperial.ac.uk.



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.

Job reference number: ENG 03546

Available documents

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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.


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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.


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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.