14 sensor-algorithm positions at King Abdullah University of Science and Technology in Saudi Arabia
Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
We seek a postdoctoral associate with PhD degree in Physics, Electrical Engineering, Materials Science or in related fields specialized in acoustic sensors, device fabrication, and electromechanical
-
sensing and control. The candidate should have strong field experience, be comfortable working in outdoor environments, and be capable of handling sensor integration and electronic systems troubleshooting
-
with experience in areas such as flexible and large area electronics, neuromorphics, energy harvesting and sensors/detectors. We invite applications from dynamic individuals with demonstrated expertise
-
irrigation efficiency; soil management to maximize nutrient-use efficiency. Sensors for soil characterization – pH, water content, temperature, ion-exchange, and mass transport of gases/water, etc. Phenotyping
-
family of printable high-gauge factor wireless sensors by building and extending our related background intellectual property. Responsibilities : Collaborate with the development of a new family of RFID
-
in simulation, prediction, and analysis of large-scale and complex fluid systems. Special emphasis will be directed toward incorporating high-performance computing, advanced algorithms, machine
-
We are seeking motivated researchers with expertise in large-area 2D materials growth for sensor and transistor applications. The focus is on developing wafer-scale 2D materials using CVD, PLD
-
algorithmic advances and aim at publishing them at these top venues. More details about the position can be found here. As a KAUST postdoc or researcher, you will have access to state-of-the-art research
-
mechanism using surface on in-volume spatial variations. Structural health monitoring (SHM) and smart structures for composite infrastructures: Wireless surface gauges and integrated sensors, SHM/NDT/Inline
-
industry partners. Design, implement, and validate advanced reinforcement learning models. Utilize reinforcement learning and evolutionary algorithms to discover new chemical materials. Publish and present