Postdoctoral Researcher in Computer Vision and Geospatial Analytics

Gulf Business Machines PND; Riyadh; On-site; SAR 200,000 - 300,000; Full time

Job summary

A leading technology firm is looking for a research fellow to innovate in environmental technology, focusing on AI and ML modeling. Candidates must hold a doctorate or M.Sc. in a relevant field completed within the last five years and demonstrate proficiency in programming languages like Python and C++. The ideal candidate will also have experience with cutting-edge technologies for climate research and a commitment to advancing scientific inquiry.

Qualifications

• Completed a Doctorate or M.Sc. within the last 5 years.
• Demonstrated research proficiency in defining questions and developing solutions using advanced technologies.
• Familiarity with programming and engineering practices.

Responsibilities

• Conduct innovative research aligned with environmental technology.
• Utilize programming skills to support AI and ML modeling.
• Collaborate in scientific investigations related to climate.

Skills

Python

C++

Java

AI and ML modeling

Data engineering

Applied mathematics

Statistics

Deep learning

Transformer models

Computational mathematics

Education

Doctorate Degree

M.Sc. Degree

Job description

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

1. Be unemployed for the duration of the fellowship.
2. Have completed at least a M.Sc. Degree or preferably (completing in December 2022), a doctoral degree within the last (5) years in Physical, Atmospheric, Computer Science, 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.
3. 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.
4. 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.
5. Be preferable familiar with climate research.

Required education

Doctorate Degree

Preferred education

Doctorate Degree

Required technical and professional expertise

1. Be unemployed for the duration of the fellowship.
2. Have completed at least a M.Sc. Degree or preferably (completing in December 2022), a doctoral degree within the last (5) years in Physical, Atmospheric, Computer Science, 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.
3. 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.
4. 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.
5. Be preferable familiar with climate research.