|Salary:||£36,024 to £44,263 per annum : Grade 7|
|Placed On:||3rd October 2023|
|Closes:||3rd November 2023|
The Impact and Shock Mechanics Laboratory (ISML) is seeking a highly motivated and innovative scientist to develop and lead a new data science project as a software engineer through a Prosperity Partnership on Inertial Fusion Energy, sponsored by UKRI and First Light Fusion, and in collaboration with Imperial College London, Oxford Physics, and University of York. The ability to think outside the box with creativity, along with having the drive and ambition to develop those ideas in a highly integrated numerical/experimental research landscape is what we value in our colleagues.
You will be working alongside full-time researchers generating a wide range of scientific data, from raw experimental measurements, to analysed results, through to simulation outputs. You will contribute to the creation and implementation of a universal schema and data storing standard, to be used across the Partnership, to ensure access, compatibility, and utilisation in advanced computational routines.
You will hold a Master’s degree in engineering, computer science or related subject and have expertise in programming languages, e.g. C++ / Java / Python / Matlab. Familiarity with data serialisation formats, e.g. JSON, YAML together with expertise with building and querying databaseand s version control tools is essential.
Informal enquiries may be addressed to Prof Daniel Eakins (email@example.com).
For more information about working at the Department, click on the 'Apply' button above.
Only online applications received before midday on 3rd November 2023 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.
The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.
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