University of Oxford

University of Oxford

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Nuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, Woodstock Road, Oxford

Applications are invited for a Senior Machine Learning Scientist to join the Medical Statistics group, with a combination of research and teaching responsibilities.

The successful applicant will conduct research activities with a variety of research groups in the Nuffield Department of Primary Health Care Sciences, and take a senior role in postgraduate and other teaching. Research responsibilities will include supporting and leading data analysis, seeking research funding, and providing specialist expertise in machine learning to colleagues. Teaching responsibilities will include creation and delivery of classes in machine learning for doctors, other health professionals and health researchers. Other teaching responsibilities are likely to include module coordination and marking, and supervising graduate students.

You will hold a doctoral degree (e.g. PhD) and have a strong publication record in medical research. You should be prepared to take a senior role as described in the job description. Candidates unsure if they are qualified for the senior role are invited to apply; there is flexibility to make an appointment at a more junior level, if no suitable senior applicant is found.

You will be based in the Radcliffe Primary Care Building in Oxford as your normal place of work, although some degree of remote working can be negotiated. A full-time post is available, but we have flexibility to offer a part-time post if requested by the successful candidate.

The position is fixed-term for three years in the first instance. For further information or discuss the post please contact Richard Stevens, at [email protected].

“Committed to equality and valuing diversity”

You will be required to upload a CV and Supporting Statement as part of your online application. The Supporting Statement should include a cover letter and should also clearly describe how you meet each of the selection criteria listed in the job description. Click here for information and advice on writing an effective Supporting Statement.

The closing date for applications is 12 noon on 22 April 2024

Interviews are expected to be held during the week commencing 6 May 2024.

Contact Person : HR Team Vacancy ID : 171663 Contact Phone : Closing Date & Time : 22-Apr-2024 12:00 Pay Scale : STANDARD GRADE 8 Contact Email : [email protected] Salary (£) : 45585 - 54395

Job details

Title

Senior Machine Learning Scientist

Employer

University of Oxford

Location

United Kingdom

Published

March 26, 2024

Application deadline

April 22, 2024

Job type

N/A

Field

Computer Science,Mathematics,Medicine

About the employer

The University of Oxford is the oldest university in the English-speaking world, and is actually so ancient that its founding date is unknown – though it is thought that teaching took place there as early as the 11th century. It’s located in and around the medieval city center of Oxford, dubbed “the dreaming city of spires” by the 19th century poet Matthew Arnold, and comprises 44 colleges and halls as well as the largest library system in the UK. 

There are 22,000 students at Oxford in total, around half of whom are undergraduates, while 40 per cent are international students. A quarter of the city of Oxford’s residents are students, giving the city the youngest population in the UK. 

The University of Oxford does not have a main campus, its buildings and facilities instead being scattered around the medieval city center. Its colleges each have a distinctive character and traditions often dating back centuries. Colleges are self-governing institutions to which students usually apply directly. There are four academic divisions within Oxford University: Humanities, Mathematical, Physical and Life Sciences; Medical Sciences; and Social Sciences. The university’s particular strength is the sciences, and it is ranked number one in the world for medicine.

Oxford is a youthful and cosmopolitan city with plenty to see and do. There are dozens of historic and iconic buildings, including the Bodleian Libraries, Ashmolean Museum, Sheldonian Theatre, the cathedral, and the colleges themselves.  Students can choose to spend their time studying or avail themselves of the many extracurricular activities available. There’s a strong musical life at Oxford, with clubs and societies spanning all genres, from jazz, through to classical and folk. Oxford is also ranked highly for sport, with its top rowers taking part every year in the world-famous boat race with the University of Cambridge on the River Thames. Drama lovers are also well catered for, with one of the largest and most vibrant university drama scenes in the country.

Oxford has an alumni network of over 250,000 individuals, including more than 120 Olympic medalists, 26 Nobel Prize winners, seven poets laureate, and over 30 modern world leaders (including Bill Clinton, Aung San Suu Kyi, Indira Ghandi and 26 UK Prime Ministers). 

It has a friendly rivalry with Cambridge for the title of best university in the UK and is regularly ranked as being one of the top three universities in the world. Notable Oxford thinkers and scientists include Tim Berners-Lee, Stephen Hawking and Richard Dawkins.

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