13 postdoc-machine-learning positions at King Abdullah University of Science and Technology

Postdoc in Machine Learning

The Machine Learning (ML) group led by Professor Ricardo Henao at KAUST (King Abdullah University of Science and Technology) has multiple openings for Postdoctoral level positions to conduct

Internship, MS/PhD, PhD, Postdoc and Research Scientist Positions in the Optimization and Machine Learning Lab led by Prof Peter Richtarik at KAUST

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...

Postdoc positions in Bayesian Deep Learning at KAUST

Postdoctoral Researchers to work on research problems at the interface between a selection of the following areas: - Bayesian inference for deep learning - Generative modeling - Computational statistics

Faculty Position in Statistics 2024

The Statistics (STAT) Program in the Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division at the King Abdullah University of Science and Technology (KAUST) invites

Research Scientist - Visual Computing Center

The VCC center at KAUST is looking for research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep learning. A suitable candidate

Postdoctoral Research Fellow - Computer vision, AI, machine learning (2 years)

looking for postdoctoral researchers in the area of computer vision, AI, and machine learning. The initial appointment will be for 2 years with a possible extension with a tentative start date in January

Postdoctoral Research Fellow - Computer vision, computer graphics and deep learning

The VCC center at KAUST is looking for postdoctoral researchers and research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep

Postdoc Position: Geological Carbon Storage Modeling and Uncertainty Quantification with Deep Learning

project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict

Pore-Scale modeling for NMR and PC measurements using Random-Walk, Finite-Elements and Machine-Learning

capillary pressure, and data-driven, physics-driven machine-learning. Applications are sought for a two-year postdoc position, and will work closely with an industry partner. The position will include a

Postdoctoral Research Fellowships in Hardware Acceleration and Networking

coarse grained reconfigurable arrays (CGRAs), virtualisation of FPGAs using partial reconfiguration, and accelerator support for machine learning. Postdocs at KAUST enjoy generous salaries and free