Research Intern-Extreme Behaviour Modelling in Large AI Models

IBM, Warrington

Research Intern-Extreme Behaviour Modelling in Large AI Models

Salary Not Specified

IBM, Warrington

  • Full time
  • U
  • Onsite working
  • Graduate programme

Posted 1 day ago, 30 Oct | Get your application in today.

Closing date: Closing date not specified

job Ref: d0d6115478d54d648340cc36d521f565

Full Job Description

IBM Research Scientists are charting the future of Artificial Intelligence, creating breakthroughs in quantum computing, discovering how blockchain will reshape the enterprise, and much more. Join a team that is dedicated to applying science to some of today's most complex challenges, whether it's discovering a new way for doctors to help patients, teaming with environmentalists to clean up our waterways or enabling retailers to personalize customer service. Your Role and Responsibilities IBM Research Europe (UK) is seeking outstanding doctoral students in computational science to join our 2025 summer internship program. You will join the project "Modelling rare, extreme behaviour in large-scale computational models", funded by a UKRI Future Leaders Fellowship. The project leverages a broad collaboration network within IBM Research, the UKRI-FLF ecosystem, and beyond. During the internship you will work in a small group to develop, explore, and characterize the properties of a given computational model. Job responsibilities may include developing and scaling up an existing application, exploring model configurations, reading relevant literature, and communicating findings through patent applications and publications in top-tier conferences.

  • Candidates must be enrolled in a PhD program in the physical, mathematical, or natural sciences.
  • Fluency in developing and running HPC-scale models in the candidate's own discipline.
  • Demonstrated experience in solving analytical problems using rigorous and quantitative approaches.
  • Preferred Technical and Professional Expertise
  • All application domains are of interest, but a background in environmental or theoretical physics will be preferred.
  • Experience with model-reduction and model-emulation approaches, including Physics-Informed Machine Learning.
  • Familiarity with non-linear optimization techniques.
  • Being able to clearly and effectively communicate research ideas as demonstrated by publications and presentations in the top-tier journals and conferences.
  • Want to know what it's like to be an IBMer?