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Senior Research Software Engineer

University of Oxford
Oxford
9 months ago
Applications closed

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Applied AI ML - Senior Associate - Machine Learning Engineer

MPLS Doctoral Training Centre, 1-4 Keble Road, Oxford This is an exciting opportunity to join a growing team, in a role primarily providing support to the Schmidt AI in Science Postdoctoral Fellowship programme at Oxford ( ). Oxford will host 55 postdoctoral fellows over 6 years starting from March 2023. OxRSE is providing RSE support to the fellows via software consultancy, direct development support on their research projects, and the delivery of training courses to the fellows, both those in Oxford and internationally. In addition to this, as a senior member of the OxRSE team, the post holder will be responsible for the acquisition and management of other projects, and the supervision of RSEs and Junior RSEs. Some of our past / current projects include Global.health ( ): an improved, scalable platform for disease tracking created by an international team of researchers from leading institutions such as Oxford, Harvard and the Boston Children’s hospital; PyBaMM ( ), a NUMFOCUS sponsored library for solving PDE models of batteries; and LanguageScreen ( ) a key tool for the Nuffield Early Language Intervention (NELI) programme and part of the COVID-19 catch up package offered by the Department for Education to primary schools in England. We are looking for candidates who hold a doctoral degree with a significant software development component, with post-qualification research and software engineering experience. We will also consider candidates without a doctoral degree but with substantial experience of software engineering in a research environment. You must be able to collaborate effectively with other researchers to design and implement reliable and maintainable software solutions to scientific questions and must be able to rapidly acquire skills in new programming languages, libraries and technologies. Any prior experience in software engineering for AI and machine learning applications, and/or in high performance computing (HPC) would be desirable. This post is offered as an open-ended position subject to external funding. It is full time, but flexible options will be considered (e.g., part-time, job share).

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