Offers “IBM”

Expires soon IBM

Postdoctoral Researcher in Computational Chemistry

  • SAUDI ARABIA
  • IT development

Job description

Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Your Role and Responsibilities
IBM Research is one of the world’s largest and most influential corporate research labs, with an unmatched investment in research and core science, and a commitment to invent the future of technology by making scientific breakthroughs that will transform industry and society. We innovate and imagine the future and have a strong commitment to develop the next generation of top research talent. We host many scientists, visiting academics and students in the belief that it takes broad collaboration between the brightest minds to create innovations that make the world work better.
·  IBM Research is welcoming applications for a Postdoctoral Researcher position specialized in computational chemistry or computational physics.
·  We are seeking outstanding candidates who obtained their Doctoral degree within the last five (5) years.
·  The position is located in Riyadh, Saudi Arabia.
·  You will be hired as a full-time IBM Employee.
·  Duration of the contract: 24-36 months.

Required Technical and Professional Expertise

·  Doctoral Degree completed in the last 5 years in Computer Science or Materials Science or other related fields with considerable computational modelling focus.
·  Expertise in Physics, Chemistry, or Materials Science; familiarity with Metal-Organic Frameworks for CO2 Direct Air Capture and/or CO2 Hydrogenation and related areas.
·  Demonstrated skills and expertise in performing molecular simulations based on, for example, Classical Molecular Dynamics (MD), Density Functional Theory (DFT), or Grand Canonical Monte Carlo (GMC).
·  Be familiar with state of art programming (Python, C++, Java etc.) and computer engineering practices as well as data science and machine learning methods, including their implementation. Experience with deep learning, transformer models, and computational mathematics will be advantageous.

Preferred Technical and Professional Expertise
None

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