IBM has launched a number of Discovery Accelerators globally to increase the rate at which we discover solutions to our scientific challenges. This isn't about working faster, this is about taking advantage of the convergence of AI, Cloud, and Quantum Computing. Within the UK we launched the Hartree National Centre for Digital Innovation (HNCDI) with the UK's Science and Technology Facilities Council. The goal for this Discovery Accelerator is to solve some of the most ambitious problems in science, business, and society, deploying high-performance Computing, AI, Quantum Computing, and Hybrid Cloud from IBM Research. The centre is fuelling collaborations across industries and research ecosystems in fields as diverse as life sciences, environmental sustainability, and material science.
IBM Research, in the UK, is seeking high calibre candidates with a proven track record in applied research and development, to work on research that makes a difference. We offer a stimulating research environment comprising multi-disciplinary teams with diverse expertise working on challenging projects in a world-class research organization. We have access to cutting-edge experimental environments and strong ties with industrial, national, and academic research labs around the globe. You will want to be part of a team that is making a difference on how we can accelerate discovery using advanced technology.
Your Role and Responsibilities
The work location for this role is either Daresbury Labs or Hursley Labs for a minimum of 3 days a week (inclusive of Tuesdays and Thursdays).
Foundation models are transforming what we think of as possible in a wide range of areas. This role will be part of a team investigating the use of foundational models (FMs) into science. Key questions that you might be looking to answer are:
How do we deploy FMs in such a way to maximise impact for scientific users?
How do we optimize the utilisation of FMs with, for example, simulation workflows
How do we integrate FM training and inference into wider-scope computational scientific workflows
Key outputs of this role are readily reusable software stacks, exciting real-world demonstrators and feedback into our existing FM research areas.
Required Technical and Professional Expertise
A knowledge of key concepts in the FM literature, and expertise in building and deploying them for real-world examples.
A knowledge of cloud technologies, specifically Kubernetes and expertise in leveraging them for large-scale AI or FM workloads.
Ability to identify fundamental problems from real-world cloud use-cases and to design, build and validate successful cloud-focused solutions.
Ability to demonstrate and evaluate systems/software via experimental method, particularly through hands-on creation of prototypes.
For example configuring large-scale server/networking/storage infrastructures; deploying research prototypes within production-grade HPC/Cloud infrastructures; deep contribution or ownership of an opensource cloud middleware framework.
Strong communication skills and the ability to collaborate effectively within local team
Excellent command of the English language, both verbal and written
Preferred Technical and Professional Expertise
Expertise and experience in deep learning applied to physical science problems, with a particular focus on chemistry and materials science.
Strong contribution record with either publications in top peer-reviewed scientific conferences and journals or strong leadership track-record in opens source communities, with a particular focus on foundation models for science, or large scale machine learning models for science.
Track record in being part of highly collaborative teams to tackle important problems which produce high impact solutions.
About Business UnitWith more than 3,000 researchers in 12 labs located across six continents, IBM Research brings together hundreds of researchers who possess unparalleled industry expertise to address some of the world's most challenging problems. Join us as we do pioneering work in areas such as cognitive computing, augmented intelligence, quantum computing, and blockchain, to name a few.
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Location StatementIBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.
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