Postdoctoral Researcher in Computer Vision and Geospatial Analytics

Introduction

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.

Your Role And Responsibilities

• Be unemployed for the duration of the fellowship.
• Have completed at least a M. Sc. Degree or preferably (completing in December 2022), a doctoral degree within the last (5) years in Physical or Atmospheric or Computer Science or Civil or Electrical Engineering and other related fields with considerable programming experience as it relates to AI, ML modeling, data engineering, applied mathematics and statistics.
• Have demonstrable research proficiency based on the scientific method, meaning they must have the ability to define research questions, formulate hypothesis, and develop innovative solutions using cutting edge technologies.
• 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.
• Be preferable familiar with climate research
  
  

Preferred Education

Doctorate Degree

Required Technical And Professional Expertise

• Be unemployed for the duration of the fellowship.
• Have completed at least a M. Sc. Degree or preferably (completing in December 2022), a doctoral degree within the last (5) years in Physical or Atmospheric or Computer Science or Civil or Electrical Engineering and other related fields with considerable programming experience as it relates to AI, ML modeling, data engineering, applied mathematics and statistics.
• Have demonstrable research proficiency based on the scientific method, meaning they must have the ability to define research questions, formulate hypothesis, and develop innovative solutions using cutting edge technologies.
• 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.
• Be preferable familiar with climate research
  
  

Preferred Technical And Professional Experience

postdoc researcher for Riyadh in place of M Soubgui