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Postdoctoral Research Assistant in Natural Language Processing - Oxford, United Kingdom - University of Oxford
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Description
We are looking to appoint a research scientist to carry out research in machine learning and artificial intelligence to develop interpretable clinical decision support tools and novel methodologies. Reporting to Dr Andrey Kormilitzin and Professor Alejo Nevado-Holgado, you will be joining a large dynamic interdisciplinary team of clinicians, bioinformaticians and machine learning experts and will be encouraged to interact widely with this group and with the other scientists across the wider university.
The post is based at the Department of Psychiatry at the Warneford Hospital and in the Big Data Institute on the Old Road Campus.
The post is for a fixed term (funded to 31 March 2025) and is full-time.
You will design and implement neural network methods for natural language processing and text mining tasks on 'unstructured' narrative text, and for structured data. This will involve liaising with researchers working in different fields and with different expertise (both locally in Oxford and remotely)
You will have or be close to the completion of a PhD or equivalent in computational sciences (Mathematics, Engineering, Computer Science, Statistics), together with relevant research experience. With strong expertise in programming languages (Python), machine learning frameworks, and deep learning frameworks (PyTorch, Tensorflow), you will have a deep understanding of Natural Language Processing and text mining field. Postdoctoral experience in a relevant field would be desirable as would an interest in psychiatry or neuroscience, evidence synthesis and precision mental health.
You will be required to upload a supporting statement, a CV, and details of two referees as part of your online application.
The closing date for this post is 12:00 midday on 31 May 2024
£36,024 to £40,521 per annum, Grade 7