We are looking for a Postdoctoral Research Associate with a background in electrical engineering, physics, statistics or computer science to work on a research project involving the application of machine learning techniques to neuroanatomical data. The project will lead to the development of a practical and flexible web-based tool for measuring neuroanatomical alterations in any brain-based disorders. The successful applicant will have previous experience in the application of machine learning - including both shallow and deep learning algorithms - to neuroimaging data. The post holder will join a multi-disciplinary team including clinicians, neuroscientists, psychologists and computer scientists. The selection process will include a panel interview.

We are looking for a post-doctoral researcher with a background in information theory for communication systems and ideally also on machine learning. The post is funded by the European Research Council (ERC) for a period of 24 months, which can be extended to two additional years. The post-holder will work, in collaboration with the Principal Investigator (Professor Osvaldo Simeone), on an ERC-funded project on fog communication, computing and storage. The main goal of the project is the development of fundamental theoretical insights, via network information theory, communication theory and machine learning, on the optimal performance and operation of fog-aided wireless networks. The post will be based in the Centre for Telecommunications research, Department of Informatics at the Strand campus of King's, located in the centre of London.

The Division of Health and Social Care Research (www.kcl.ac.uk/hscr) is seeking to appoint a Research Associate in Health Informatics to join the RobotReviewer project (www.robotreviewer.net), The project is a UK/US collaboration funded by the US National Institutes of Health/National Library of Medicine. Candidates should hold a PhD (in computer science, statistics, artificial intelligence, life sciences, or a related subject) or substantial equivalent experience (working in a research capacity in industry with a focus on the same subject areas). The successful candidate will participate in all aspects of the research, including developing and evaluating novel machine learning algorithms, writing research articles for publication, and contributing to the development of our open source software. S/he will be proficient in one or more general purpose programming languages, and ideally will have experience of using our current toolset (Python, Scikit-learn, Keras, and Theano).

The role purpose is to establish and lead the Applied Intelligence in Health group within the wider Health Informatics group, the aim of which is the development and deployment of innovative applications of computer science to improve patient care and medical and biological knowledge discovery. The role will build and evaluate Intelligent reasoning systems and autonomous multi-agent ecosystems to serve as key use-cases in the infrastructures of partner hospitals. Objectives of the role include: • Establishing novel methodologies for temporal representation, reasoning and management of medical knowledge and use the methodologies to create and evaluate measures of patient profile similarity based on mined temporal patterns in longitudinal patient records, using the resulting measures in personalised clinician assistant recommender systems. Successful candidates will have knowledge & skills in Artificial Intelligence, bioinformatics, and health/clinical informatics. Experience in translational research delivery, temporal medical knowledge management, bioinformatics, temporal representation and reasoning, multi-agent systems, graphical representations and machine learning is essential.

The Department of Physics is looking to recruit a Research Associate in Computational Modelling and Materials Data Generation, Curation and Inference. The work will involve data conversion, selection and compression, to develop "Big Data Analytics" protocols for structure and property prediction via machine learning algorithms. This post will be Fixed Term 3 months. This is a Full-time – 100 % full time equivalent. The salary will be paid at Grade 6, 32,600 to 38,896 per annum, plus 2,323 per annum London Allowance.