Research Postdoctoral Researcher in Computer Vision and Geospatial Analytics SA

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.

• Be employed for the duration of the fellowship.
• Have completed at least an M. Sc. Degree or preferably (completing in December 2022), a doctoral degree within the last (5) years in Physical, Atmospheric, Computer Science, Civil, Electrical Engineering or 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‑the‑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 preferably familiar with climate research.

• Doctorate Degree

• Doctorate Degree

• Be employed for the duration of the fellowship.
• Have completed at least an M. Sc. Degree or preferably (completing in December 2022), a doctoral degree within the last (5) years in Physical, Atmospheric, Computer Science, Civil, Electrical Engineering or 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‑the‑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 preferably familiar with climate research.

postdoc researcher for Riyadh in place of M Soubgui

IBM 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.

In 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.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills…