Postdoctoral Researcher in Computer Vision and Geospatial Analytics
IBM
Postdoctoral Researcher in Computer Vision and Geospatial Analytics
Job Description
Postdoctoral Researcher in Computer Vision and Geospatial Analytics
📋 Job Overview
The Postdoctoral Researcher in Computer Vision and Geospatial Analytics at IBM Research will focus on developing innovative solutions using cutting-edge technologies in AI, ML, and data science. The role involves defining research questions, formulating hypotheses, and implementing advanced programming and machine learning methods to drive scientific breakthroughs.
📍 Location: Riyadh, SA
💼 Career Level: Entry Level
🎯 Key Responsibilities
- Define research questions and formulate hypotheses
- Develop innovative solutions using cutting-edge technologies
- Implement state-of-the-art programming and machine learning methods
✅ Required Qualifications
- Completed at least a M.Sc. degree or a doctoral degree within the last 5 years in Physical, Atmospheric, Computer Science, Civil, or Electrical Engineering or related fields
- Considerable programming experience related to AI, ML modeling, data engineering, applied mathematics, and statistics
- Demonstrable research proficiency based on the scientific method, including the ability to define research questions, formulate hypotheses, and develop innovative solutions
⭐ Preferred Qualifications
- Experience with deep learning, transformer models, and computational mathematics
- Familiarity with climate research
🛠️ Required Skills
- Python
- C++
- Java
- Data science
- Machine learning
- Deep learning
- Transformer models
- Computational mathematics
- Computer engineering practices
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment daily
- Continuous trust and support in a thriving environment
- Growth-minded culture with openness to feedback and learning
Locations
- Riyadh, SA, India
Salary
Estimated Salary Rangemedium confidence
1,200,000 - 2,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- C++intermediate
- Javaintermediate
- Data scienceintermediate
- Machine learningintermediate
- Deep learningintermediate
- Transformer modelsintermediate
- Computational mathematicsintermediate
- Computer engineering practicesintermediate
Required Qualifications
- Completed at least a M.Sc. degree or a doctoral degree within the last 5 years in Physical, Atmospheric, Computer Science, Civil, or Electrical Engineering or related fields (experience)
- Considerable programming experience related to AI, ML modeling, data engineering, applied mathematics, and statistics (experience)
- Demonstrable research proficiency based on the scientific method, including the ability to define research questions, formulate hypotheses, and develop innovative solutions (experience)
Preferred Qualifications
- Experience with deep learning, transformer models, and computational mathematics (experience)
- Familiarity with climate research (experience)
Responsibilities
- Define research questions and formulate hypotheses
- Develop innovative solutions using cutting-edge technologies
- Implement state-of-the-art programming and machine learning methods
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment daily
- general: Continuous trust and support in a thriving environment
- general: Growth-minded culture with openness to feedback and learning
Tags & Categories
Postdoctoral Researcher in Computer Vision and Geospatial Analytics
IBM
Postdoctoral Researcher in Computer Vision and Geospatial Analytics
Job Description
Postdoctoral Researcher in Computer Vision and Geospatial Analytics
📋 Job Overview
The Postdoctoral Researcher in Computer Vision and Geospatial Analytics at IBM Research will focus on developing innovative solutions using cutting-edge technologies in AI, ML, and data science. The role involves defining research questions, formulating hypotheses, and implementing advanced programming and machine learning methods to drive scientific breakthroughs.
📍 Location: Riyadh, SA
💼 Career Level: Entry Level
🎯 Key Responsibilities
- Define research questions and formulate hypotheses
- Develop innovative solutions using cutting-edge technologies
- Implement state-of-the-art programming and machine learning methods
✅ Required Qualifications
- Completed at least a M.Sc. degree or a doctoral degree within the last 5 years in Physical, Atmospheric, Computer Science, Civil, or Electrical Engineering or related fields
- Considerable programming experience related to AI, ML modeling, data engineering, applied mathematics, and statistics
- Demonstrable research proficiency based on the scientific method, including the ability to define research questions, formulate hypotheses, and develop innovative solutions
⭐ Preferred Qualifications
- Experience with deep learning, transformer models, and computational mathematics
- Familiarity with climate research
🛠️ Required Skills
- Python
- C++
- Java
- Data science
- Machine learning
- Deep learning
- Transformer models
- Computational mathematics
- Computer engineering practices
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment daily
- Continuous trust and support in a thriving environment
- Growth-minded culture with openness to feedback and learning
Locations
- Riyadh, SA, India
Salary
Estimated Salary Rangemedium confidence
1,200,000 - 2,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- C++intermediate
- Javaintermediate
- Data scienceintermediate
- Machine learningintermediate
- Deep learningintermediate
- Transformer modelsintermediate
- Computational mathematicsintermediate
- Computer engineering practicesintermediate
Required Qualifications
- Completed at least a M.Sc. degree or a doctoral degree within the last 5 years in Physical, Atmospheric, Computer Science, Civil, or Electrical Engineering or related fields (experience)
- Considerable programming experience related to AI, ML modeling, data engineering, applied mathematics, and statistics (experience)
- Demonstrable research proficiency based on the scientific method, including the ability to define research questions, formulate hypotheses, and develop innovative solutions (experience)
Preferred Qualifications
- Experience with deep learning, transformer models, and computational mathematics (experience)
- Familiarity with climate research (experience)
Responsibilities
- Define research questions and formulate hypotheses
- Develop innovative solutions using cutting-edge technologies
- Implement state-of-the-art programming and machine learning methods
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment daily
- general: Continuous trust and support in a thriving environment
- general: Growth-minded culture with openness to feedback and learning
Tags & Categories