UKAEA (the UK Atomic Energy Authority) is seeking a Lead Data Scientist to join the Data Solutions Unit within the Computing Division in South Oxfordshire, United Kingdom. This hybrid role sits at the intersection of AI/ML, high-performance computing, and fusion research, delivering data engineering, AI/ML, FAIR data architectures, HPC, and advanced digital technologies to enable scientists and engineers to accelerate discovery and advance future fusion technologies through collaborations with academia, industry, and partners across UKAEA.
UKAEA (the UK Atomic Energy Authority) is seeking a Lead Data Scientist to join the Data Solutions Unit within the Computing Division in South Oxfordshire, United Kingdom. This hybrid role sits at the intersection of AI/ML, high-performance computing, and fusion research, delivering data engineering, AI/ML, FAIR data architectures, HPC, and advanced digital technologies to enable scientists and engineers to accelerate discovery and advance future fusion technologies through collaborations with academia, industry, and partners across UKAEA.
As part of the Artificial Intelligence and Machine Learning team, you will provide research leadership in applying AI/ML to complex fusion challenges, lead multidisciplinary research programmes, and develop innovative solutions using HPC and exascale technologies. With significant autonomy, you will influence research direction, publish impactful work, and represent UKAEA as a leading voice in AI-enabled fusion research.
We are seeking someone with expert knowledge of Scientific AI applications and fusion research; experience developing and applying AI/ML solutions using PyTorch and JAX; a strong track record of research publications and conference contributions; experience leading teams of AI researchers to accelerate fusion energy; and experience scaling AI/ML workflows across HPC and cloud environments using technologies such as SLURM, Ray, Horovod, Kubeflow, and Docker. Knowledge of FAIR data principles, data governance, and data engineering practices is required to support robust, scalable, and reproducible research.
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As part of the Artificial Intelligence and Machine Learning team, you will provide research leadership in applying AI/ML to complex fusion challenges, lead multidisciplinary research programmes, and develop innovative solutions using HPC and exascale technologies. With significant autonomy, you will influence research direction, publish impactful work, and represent UKAEA as a leading voice in AI-enabled fusion research.
We are seeking someone with expert knowledge of Scientific AI applications and fusion research; experience developing and applying AI/ML solutions using PyTorch and JAX; a strong track record of research publications and conference contributions; experience leading teams of AI researchers to accelerate fusion energy; and experience scaling AI/ML workflows across HPC and cloud environments using technologies such as SLURM, Ray, Horovod, Kubeflow, and Docker. Knowledge of FAIR data principles, data governance, and data engineering practices is required to support robust, scalable, and reproducible research.
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