|Salary:||£29,605 to £33,966 per annum|
|Placed On:||28th September 2023|
|Closes:||12th October 2023|
Fixed-term: The funds for this post are available for 1 year in the first instance.
Would you like to help build the University of Cambridge's AI for science community and help NHS in assisting medical diagnosis and treatments?
The Accelerate Programme for Scientific Discovery is a high-profile Cambridge University initiative promoting the use of machine learning to tackle major scientific challenges, based at the Department of Computer Science and Technology https://www.cst.cam.ac.uk
Working across disciplines within the University, Accelerate is advancing research at the interface of artificial intelligence (AI) and science and society, providing training in data science for science and society, and building a community of research and practice.
We are looking for a Research Assistant to join our team, working on an interdisciplinary AI for healthcare project exploring the interfaces that can facilitate effective interactions between health sciences and AI. This project could explore different aspects of health data to develop models and predict important outcomes to support healthcare sector. Project partners include the Centre for Integrative Neuroscience Discovery (CIND) at Department of Neuroscience and the Centre for Advanced Photonics and Electronics (CAPE) and Bioelectronics lab at the Department of Engineering at University of Cambridge, Royal Papworth hospital, Alan Turing Institute, and Haleon, who provide guidance, support and opportunities for the project members to seek training and collaborations to widen expertise knowledge.
The successful applicants will be expected to have following core skills and experiences:
The University has a responsibility to ensure that all employees are eligible to live and work in the UK. Please note that we provide support in the visa process (if required), and we reimburse the cost of the first visa.
You will need to upload a CV and publications list (max 2 pages), a covering letter outlining how your experience relates to this post's core skills and experience (max 2 pages), a short summary (max. 1 page) setting out your view on "what role do you believe in research and software engineering can play in contributing to develop AI for health sciences?" and the names of two referees. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Please ensure that you give examples of how your skills and experience match the criteria for the post and why you are applying for this role in your covering letter. If you upload any documents that have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
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