Research Software Engineer, Workflows for Simulation & Modelling

Introduction

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

The work location for this role is either Daresbury Labs or Hursley Labs for a minimum of 2 days a week.

Modelling and Simulation remains a key technology for scientific discovery. In addition to embracing new paradigms for calculation, for example cloud and quantum, IBM are actively pursuing the use of AI to accelerate modelling and simulation workflows. The foundational technology – simulation team have three specific focus areas:

1. Simulation tech for science; Using the latest technology and methodologies to develop and enable cutting edge scientific simulations
2. AI enriched simulation; Driving differentiation through the use of AI to accelerate time to insight by both accelerating individual simulations through the use of data-driven surrogate modelling, and the intelligent orchestration of simulation campaigns through Bayesian optimization
3. Simulation workflow technology – developing differentiated workflow technology to integrate the latest simulations with the latest AI enrichment in a hybrid cloud infrastructure.

Your role as a member of the ‘Simulation Workflow Technology’ team would be to work closely with the scientists developing simulation workflows to help the team to continue to build solutions running in hybrid cloud settings which maximise their productivity, through the implementation of insightful workflow features and capabilities based upon observations of common usage patterns and pain points.

Required Technical and Professional Expertise

• 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

• Strong academic record with publications in top peer-reviewed scientific conferences and journals or strong leadership track-record in opens source communities
• Track record in forming collaborative teams to tackle important problems which produce high impact solutions
• Ability to work successfully across multi-disciplinary world-wide teams
• Demonstrated ability to create and drive long running projects e.g. research programs, open-source projects, with proven impact.