Location: | Oxford |
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Salary: | £40,855 to £46,913 per annum with a discretionary range to £51,059 per annum (pro-rata) : Grade 7 |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 11th February 2025 |
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Closes: | 26th February 2025 |
Job Ref: | 177935 |
We invite applications for a Research Software Engineer to join Oxford Computational Statistics and Machine Learning (OxCSML) research group, with responsibility for managing the computational infrastructure, enabling large scale research implementation and experimentation for the project team, and collaborating on research pertinent to the project.
The successful candidate will have completed or be close to completion of a MSc or above in a relevant technical subject (e.g., computer science, statistics, engineering) and possess strong publication track record in machine learning or related fields.
We proudly hold a Race Equality Charter Bronze Award and a departmental Athena SWAN Silver Award, which guide our progress towards advancing racial and gender equality. As part of our commitment to openness, inclusivity and transparency, we would particularly welcome applications from women and black and minority ethnic candidates, who are currently under-represented in positions of this type at Oxford.
Applicants will be selected for interview purely based on their ability to satisfy the selection criteria as outlined in full in the job description. You will be required to upload a statement setting out how you meet the selection criteria, a curriculum vitae and the contact details of two referees as part of your online application.
Please note that applicants are responsible for contacting their referees and making sure that their letters are sent to hr@stats.ox.ac.uk directly by the closing date. The subject line of the email should include the job title and vacancy number (Research Software Engineer, 177935).
Please direct informal enquiries about the post to Prof. Yee-Whye Tee yee.teh@stats.ox.ac.uk quoting vacancy reference 177935.
Only applications received before 12.00 noon UK time on Wednesday, 26th February 2025 can be considered. Interviews are anticipated to be held on Thursday, 13th March 2025.
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