Research Assistant in AI & Machine Learning
The Open University is seeking a highly motivated Research Assistant to work in the Faculty of Science, Technology, Engineering and Mathematics (STEM)-School of Computing and Communications.
The successful candidate will work closely with Dr Samara Banno on the Open Societal Challenge-Challenge Us! research project “Detecting the Early Signs of Dementia condition (including Alzheimer’s) in Down’s syndrome using Intelligent Modelling/AI”.
Key responsibilities will include designing and implementing an appropriate data analysis and machine learning pipeline, investigating transfer learning methods, and interpreting findings to make suggestions for improvements.
Key Responsibilities
* Design and implement an appropriate data analysis and machine learning pipeline and relevant modelling algorithms to address the research questions.
* Investigate transfer learning methods (including Artificial Neural Networks and Deep learning) with the aim to apply the developed models into new domains.
* Proven experience in applying statistical models to support research and decision-making Analysis.
* Interpret findings and make suggestions for improvements and communicate project outcomes in dissemination activities.
* Initiate and contribute to innovative funding bids in collaboration with other researchers.
* Ability to work with Python Language and its libraries.
About You
Essential
* A M.Sc. degree or working towards a PhD degree in a relevant area or equivalent in an area of computer science, engineering, or cognate discipline.
* Evidence of research excellence in using methods from Artificial Intelligence and machine learning and computational modelling techniques.
* Experience in data transformation and data mining techniques.
* Excellent skills in Python programming and statistical models.
* Experience of working in the intersection of Artificial Intelligence and psychology.
* Ability to work collaboratively in an interdisciplinary team.
* Ability to communicate research findings to non-specialist audience.
* Understandings of ethics in psychology and health data and GDPR requirements.
Desirable
* An existing track record of active participation at international conferences.
* Experience of working with cognitive models.
We are committed to equality, diversity and inclusion, and we aim to foster a diverse and inclusive environment so that all in our OU community can reach their potential.
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