12 phd-artificial-intelligence uni jobs at King Abdullah University of Science and Technology
Sort by
Refine Your Search
-
King Abdullah University of Science and Technology (KAUST) invites applications for a Research Engineer position in the field of Applied Artificial Intelligence and Internet of Things (IoT
-
The AI Lecturer will play a crucial role in supporting the delivery of high-impact Artificial Intelligence (AI) training programs offered by KAUST Academy. This position involves delivering engaging
-
The role supports the strategic development and delivery of Artificial Intelligence education within the KAUST Academy’s continual learning ecosystem. The position leads the design, coordination
-
Application documents: 1) Brief cover letter, explaining your motivation for applying, 2) Detailed curriculum vitae (including your email address), 3) Complete transcript of grades from all your university-level studies. We do not ask for more information/documents at this point (but you can...
-
. • Robotics and Autonomous Systems to advance intelligent machines for society’s grand challenges. Areas of focus include soft robotics for infrastructure monitoring, underwater exploration, smart manufacturing
-
than the candidate’s sub-area of specialization. An earned PhD in Mathematics or a related field, and strong publication record in top-tier journals are required. Senior candidates must have demonstrated
-
We solicit applications for multiple positions(PhD, MS, MS–PhD, Agronomist, Field Engineer, Field Technician, and Postdoctoral Scholar) in Professor Himanshu Mishra’s research Group (Interfacial Lab
-
positions (PhD, MS, MS–PhD, Agronomist, Field Engineer, Field Technician, and Postdoctoral Scholar) in Professor Himanshu Mishra’s research Group (Interfacial Lab) in King Abdullah University of Science and
-
post-doc (micro-biology) and 5 PhD students at various stages of their projects. The area is part of the Red Sea Global Giga Project which aims to build a world class sustainable tourist development
-
filled. High priority will be given to the overall originality and promise of the candidate’s work rather than the candidate’s sub-area of specialisation. An earned PhD in Statistics or a related field