Applied Research Scientist- UK Research Lab

at  IBM

Introduction
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
We seek Applied Research Scientists with a proven experience in computer science with strong working background in machine learning and artificial intelligence techniques to join the IBM Research UK Accelerated Discovery for Climate and Sustainability team.

Required Technical and Professional Expertise

• Undergraduate or postgraduate Degree in Physics, Mathematics, Meteorology/Climate Science, Computer Science, Artificial Intelligence, or a closely related field.
• Research experience developing and running numerical physics-based models in cloud environments and expertise in foundational models for science.
• Expertise in Python for data analysis (pandas, numpy, Jupyter notebooks), ideally with massive geospatial data.
• Strong artificial intelligence/machine learning skills in deep learning and reinforcement learning, ideally in the geospatial and climate domain.
• Working experience building workflows and AI models in platforms such as Ray, Pytorch, MLFlow, etc.
• Strong publication record at top-tier peer-reviewed conferences or journals.

Preferred Technical and Professional Expertise

• A Master’s or Doctorate Degree (preferred) in Physics, Mathematics, Meteorology/Climate Science, Computer Science, Artificial Intelligence, or a closely related field.
• Strong experience in computational model development, especially in deep learning, including uncertainty quantification, model calibration, and optimization.
• Experience configuring and running weather/climate, storm surge, or hydrological models, especially using foundational models for the above downstream tasks.
• Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.

About Business UnitIBM Research is the organic growth engine of IBM and an innovation engine for our customers and partners. As part of this mission, IBM Research anticipates and examines ‘What’s Next in Computing’ to ultimately create and integrate the technologies the world relies upon to solve big challenges and unlock new opportunities. We create and pioneer new markets for IBM, our partners and customers as exemplified in our ongoing quest to reach practical and large-scale quantum computing. Across IBM Research, we realize the power and potential to accelerate discovery with our partners and clients by combining the power of high performance computing, AI, and Quantum, all integrated through the hybrid cloud.
Your Life @ IBMIn a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
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Are you ready to be an IBMer?
About IBMIBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
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.
Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status

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