Location: | London |
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Salary: | £41,732 |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 22nd August 2024 |
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Closes: | 4th September 2024 |
Job Ref: | SST00233 |
City St George’s, University of London is the University of business, practice and the professions and brings together the expertise and excellence of City, University of London and St George’s, University of London into one institution.
The combined university is one of the largest suppliers of the health workforce in the capital, as well as one of the largest higher education destinations for London students.
Combining a breadth of disciplines across health, business, law, creativity, communications, science and technology, we are creating a ‘health powerhouse’ for students, researchers, the NHS and partners in uniting a world-leading specialist health university. We are now one of the UK’s largest health educators, where staff and students have access to an expanded team of brilliant academic and professional services colleagues, combined resources and facilities and more interdisciplinary opportunities.
The merger creates opportunities to generate significant change in the world of healthcare including changes to treatment, population health monitoring, workforce development and leadership, policy, and advocacy.
Background
This role offers a structural engineer or data scientist a chance to join City, University of London in a project with Cambridge CSIC, funded by Lloyd’s Register Foundation via The Alan Turing Institute. The candidate will engage with DCE's network and access The Alan Turing Institute network and offices.
Responsibilities
Designing and implementing data-driven early damage detection algorithms for a UK network rail steel bridge. Embedded in an existing digital twin, these algorithms will use monitoring data to calibrate and validate Finite Element Models, in turn used to producing "damaged condition" datasets for training purposes.
Person Specification
Structural health monitoring, finite elements, structural dynamics and nonlinear structural analysis.
Data-driven and applied ML methods.
Coding in one or more programming languages (Matlab, Python, etc.).
Authoring peer-reviewed papers and technical documents.
Proven ability to work well with non and technical people, to work in a team and communicate effectively.
Additional Information
Closing date for applications: 4th September 2024 at 11:59pm
The selection process will involve an interview and an assessment/exercise/presentation. Further details will be confirmed at the interview stage.
City St George’s offers a sector-leading salary, pension scheme and benefits including a comprehensive package of staff training and development.
City St George’s, University of London is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture for our whole community, including staff, students and visitors.
We welcome applications regardless of age, caring responsibilities, disability, gender identity, gender reassignment, marital status, nationality, pregnancy, race and ethnic origin, religion and belief, sex, sexual orientation and socio-economic background.
City St George’s operates a guaranteed interview scheme for disabled applicants.
The University of business, practice and the professions
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