Postdoctoral Researcher in Computer Vision and Geospatial Analytics

Postdoctoral Researcher in Computer Vision and Geospatial Analytics

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 developing the next generation of top research talent.

We host many scientists, visiting academics and students in the belief that broad collaboration between the brightest minds creates innovations that make the world work better.

• Be unemployed for the duration of the fellowship.
• Have completed at least a M. Sc. degree (or a doctoral degree within the last five years) in Physical, Atmospheric, Computer Science, Civil or Electrical Engineering or related fields with considerable programming experience in AI, ML, data engineering, applied mathematics and statistics.
• Have demonstrable research proficiency based on the scientific method, meaning you can define research questions, formulate hypotheses, 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 familiar with climate research.

• Be unemployed for the duration of the fellowship.
• Have completed at least a M. Sc. degree (or a doctoral degree within the last five years) in Physical, Atmospheric, Computer Science, Civil or Electrical Engineering or related fields with considerable programming experience in AI, ML, data engineering, applied mathematics and statistics.
• Have demonstrable research proficiency based on the scientific method, meaning you can define research questions, formulate hypotheses, 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 familiar with climate research.

• Doctorate Degree

• Seniority level:
  Mid‑Senior level
• Employment type:
  
  Full‑time
• Job function:
  Research, Analyst, and Information Technology
• Industries: IT Services and IT Consulting