Job number
ENG03665
Faculties
Faculty of Engineering
Departments
Department of Civil and Environmental Engineering
Salary or Salary range
£49,017 - £57,472 per annum
Location/campus
South Kensington Campus - On site only
Contract type work pattern
Full time - Fixed term
Posting End Date
2 Oct 2025
About the role
We are seeking a highly motivated researcher with a background in high performance computing and machine learning to join our team developing geometric digital twins for offshore wind turbine support structures, funded by a major EPSRC Open Plus Fellowship project led by Dr Adam Jan Sadowski. You will be primarily working on processing very large high resolution 3D point cloud laser scans of tower structures to abstract out and segment geometric features for the purposes of training predictive models that will then be used for high fidelity computational structural engineering.
What you would be doing
You will join a team of primarily structural engineers working at Imperial's Department of Civil and Environmental Engineering collaborating with Prof. Adrian Jackson and other colleagues at the Edinburgh Parallel Computing Centre. Your work would combine software and technique development which a focus on the processing of voluminous point cloud datasets (> 100 GB). Specifically, you will:
* Develop and train advanced models to perform statistically meaningful inpainting of regions of missing coverage
* Develop means of automated segmentation of the point clouds to isolate geometric features of interest for further dataset curation and training
* Develop tools which interface between the trained predictor / inference models and structural finite element model generators
* Collaborate with a multidisciplinary team of structural engineers, mechanical engineers and HPC specialists to ensure maximum impact including through dissemination in high impact journals.
What we are looking for
* A PhD in High Performance Computing, Machine Learning, Computer Science, Applied Mathematics, Data Science, or equivalent research, industrial or commercial experience
* Practical experience with the core computing languages necessary for machine learning and high-performance computing, including C++, Python and CUDA
* Knowledge of machine learning, high performance computing and data science
* Excellent verbal communication skills and the ability to deal with a wide range of people
* Excellent written communication skills and the ability to write clearly and succinctly for publication
What we can offer you
* Participation in a high-impact UK-led project with international collaborators that aims to develop the next generation of computational analysis tools for the study of massive-scale offshore metal wind support structures.
* 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.
* Sector-leading salary and remuneration package (including 39 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
This is a fixed-term full-time post for 24 months. The estimated start date is January 2026, although this can be flexible depending on circumstances.
If you require any further details about the role, please contact: Dr Adam Jan Sadowski at
Any queries regarding the application process should be directed to Briony Webb at
Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.
Full information on the post is available in the job description.
We are an equal opportunity employer and welcome applications from all backgrounds and disabilities. We will ensure that individuals with disabilities are provided reasonable adjustments to participate in the interview process and to perform crucial job functions, as well as other support including staff networks. Please contact us to request accommodation.
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.
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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.
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.