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Principal Research Scientist - Language & Reasoning for Embodied AI
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Research Associate (AI for Neurotechnology)
United Kingdom
Relocation
AI Summary
Join the CEREBRIS project to develop next-generation AI and neurotechnology for stroke diagnosis and rehabilitation. This role involves applying advanced AI methods to neurotechnology and clinical datasets, publishing research, and collaborating internationally. Requires a PhD in a relevant field, experience with AI frameworks, and neurophysiological data analysis.
Key Highlights
Develop and apply advanced AI methods (multimodal foundation models, deep learning) for neurotechnology.
Analyze complex multimodal data (EEG, fNIRS, MRI, movement) for stroke recovery.
Publish high-impact research and contribute to international collaborations.
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Key Responsibilities
Develop and apply advanced AI methods, including multimodal foundation models and deep learning, to analyse complex neurotechnology and clinical datasets.
Work with multimodal data including EEG, fNIRS, MRI, movement analysis and clinical assessments to develop explainable AI for stroke recovery.
Publish high-impact research, contribute to international collaborations, and present your work at leading conferences.
Help shape the future of AI-driven neurotechnology within a multidisciplinary team spanning computer science, engineering, neuroscience and clinical research.
Technical Skills Required
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Benefits & Perks
Generous annual leave allowance
Generous employer contributory pension schemes
Relocation allowance
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Nice to Have
Experience with multimodal AI, foundation models, generative AI or representation learning.
Experience integrating neurophysiological data with neuroimaging, movement or clinical datasets.
Experience with GPU-accelerated computing or high-performance computing environments.
Experience contributing to research proposals, supervising students or working within international collaborative research projects.
Job Description
CEREBRIS Research Associate (AI for Neurotechnology)Join the project, a flagship programme developing next-generation AI and neurotechnology to transform stroke diagnosis, prognosis and rehabilitation. Working within the , you will collaborate with leading researchers and an international consortium to deliver cutting-edge translational research.
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