Postdoctoral Researcher for Climate and Sustainability
IBM
Date: 3 hours ago
City: Riyadh
Contract type: Full time
Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
Your Role And Responsibilities
Doctorate Degree
Required Technical And Professional Expertise
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
Your Role And Responsibilities
- IBM Research invites applications for postdoctoral positions in IBM's Computational Climate and Sustainability Research team.
- We are seeking outstanding candidates who obtained their Doctoral degree within the last five (5) years.
- Applicants who are currently finalizing their doctoral dissertations for examination may apply, provided that they will submit them by 31 May 2023.
- The positions are located in Riyadh, Saudi Arabia.
- You will be hired as a regular IBM Employee.
- Duration of the contract: 24-36 months.
Doctorate Degree
Required Technical And Professional Expertise
- Have completed at least a Doctoral degree (completing by May 2023) or 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 modelling, data engineering, applied mathematics and statistics.
- Have demonstrable research proficiency based on the scientific method, meaning you 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 preferably familiar with climate and atmospheric sciences and remote sensing research and tools, techniques and methodologies.
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