[ad_1] HOURS: 36 CLOSES: 24 September, 23:59 The Alan Turing Institute Named in honour of Alan Turing, the Institute is a place for i
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HOURS: 36
CLOSES: 24 September, 23:59
The Alan Turing Institute
Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better.
BACKGROUND
Together, The Alan Turing institute and its partners have invested more than £26M in digital twin (DT) research and innovation across a wide portfolio of projects. This represents one of the largest portfolios of academic DT research in the UK.
CANDIDATE PROFILE
We are seeking a Research Associate to work as part of TRIC DT Healthcare Theme. This role will involve utilizing expertise in applied probabilistic and generative deep learning, as well as machine learning algorithms, to contribute to the advancement of digital twin technology in the healthcare sector.
You will have the opportunity to customize deep learning and machine learning models using PyTorch and Scikit-learn libraries. Proficiency in object-oriented programming with Python, including functions, classes, dictionaries, and working with multiple data frames, is essential for this role.
DUTIES AND AREAS OF RESPONSIBILITY
A key responsibility will be handling and analyzing the UK Biobank dataset, to convert them into suitable formats for deep learning and medical image analysis. Knowledge of tools such as pandas data frame, scikit-image, SciPy, SimpleITK, NiBabel, OpenCV, and NumPy will be used. Additionally, expertise in handling temporal medical imaging and longitudinal data formats, specifically those found in the UK Biobank dataset, is required.
Person Specification
The successful candidate will have a PhD or equivalent qualification/research experience in Computer Science, Artificial Intelligence, Mathematics, Engineering or similar and will be proficient in customizing different visualization tools to effectively visualize multi-dimensional healthcare data. Integration of multiple datasets, including imaging, clinical, and demographic information, will be an essential aspect of the role.
The postholder will possess the necessary knowledge to run deep learning models on high-performance computing (HPC) servers or cloud-based systems. Experience in deploying deep learning models using Docker technology in virtual environments is also expected. If you have a strong background in applied probabilistic, generative deep learning, and machine learning algorithms, along with the ability to handle and analyze healthcare datasets, we encourage you to apply.
Please see our portal for a full breakdown of the Job Description.
Terms and Conditions
This full-time post is offered on a fixed term basis for two years. The annual salary is £42,893 plus excellent benefits, including flexible working and family friendly policies, https://www.turing.ac.uk/work-turing/why-work-turing/employee-benefits
The Alan Turing Institute is based at the British Library, in the heart of London’s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview.
Application procedure
Please see our jobs portal for full details on how to apply and the interview process.
Equality Diversity and Inclusion
We are committed to making sure our recruitment process is accessible and inclusive.
This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at adjustments@turing.ac.uk to find out how we can assist you.
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