The IVUL group (ivul.kaust.edu.sa) at KAUST (King Abdullah University of Science and Technology) is looking for top postdoctoral researchers with expertise in computer vision and/or machine/deep learning. The researchers for this opening will work at KAUST to investigate and develop principled theoretical and/or computational methods for one of the following research themes: video understanding (e.g. activity detection, language-retrieval, and egocentric video understanding), 3D computer vision (e.g. 3D representation learning, indoor/outdoor segmentation, and object detection), tools/fundamentals of deep/machine learning (e.g. continual learning, robustness and certification of deep networks, training strategies, and general theory), and AI for science (e.g. graph neural networks for protein/drug discovery, computational chemistry, and computational biology). The scope of the advertised position includes:

• publishing high impact work in top-tier conferences and journals in order to build a substantial resume and strong international collaborations

• engaging with researchers in related fields

• mentoring and collaborating with KAUST grad students and visiting students/researchers

• excellent total compensation, including accommodation, family health benefits, moving expenses, and a substantial tax-free annual salary

• living in a vibrant, multi-cultural campus town on the Red Sea

Applicants must have:

• a PhD degree with excellent academic credentials

• relevant research skills and experience in computer vision, machine/deep learning, or optimization, demonstrated by high quality publications

• good English communication skills (oral and written)

Applications are being accepted on a rolling basis until the positions are filled. Anyone interested in this position should send a full CV with a complete list of publications and projects to Prof. Bernard Ghanem (bernard [DOT] ghanem [AT] kaust [DOT] edu [DOT] sa).

The AI Initiative (ai.kaust.edu.sa) at KAUST (King Abdullah University of Science and Technology) is looking for top ML engineers with expertise in computer vision and/or machine/deep learning. The engineers for this opening will work at KAUST to develop and implement computational methods for a variety of research themes of high interest to the Initiative including core AI (e.g. deep learning methods for machine learning, computer vision, and NLP research projects) and X+AI (e.g. machine learning methods for chemistry, biology, material science, and other science fields of strength at KAUST). The scope of the advertised position includes:

• developing and implementing professional-grade, efficient, well-documented, and reliable ML code for various research projects

• potentially contributing to the publication of high-impact research in top-tier conferences and journals

• engaging and working with researchers in related fields

• excellent total compensation, including accommodation, family health benefits, moving expenses, and a substantial tax-free annual salary

• living in a vibrant, multi-cultural campus town on the Red Sea

Applicants must have:

• an MS degree with excellent academic credentials; candidates with a Bachelor degree with well-established ML engineering experience are also invited to apply

• strong ML engineering and coding skills/experience demonstrated by ML engineering projects

• good English communication skills (oral and written)

Applications are being accepted on a rolling basis until the positions are filled. Anyone interested in this position should send a full CV with a complete list of projects and work experience to Prof. Bernard Ghanem (bernard [DOT] ghanem [AT] kaust [DOT] edu [DOT] sa).

The IVUL group (ivul.kaust.edu.sa) at KAUST (King Abdullah University of Science and Technology) is looking for a top research scientist with expertise in computer vision and machine/deep learning. The researcher will work at KAUST to innovate, develop, and evaluate methods as well as mentor other projects in one or more of the following research themes: video understanding (e.g. activity detection, language-retrieval, and egocentric video understanding), 3D computer vision (e.g. 3D representation learning, indoor/outdoor segmentation, and object detection), tools/fundamentals of deep/machine learning (e.g. continual learning, robustness and certification of deep networks, training strategies, and general theory), and AI for science (e.g. graph neural networks for protein/drug discovery, computational chemistry, and computational biology). The scope of the advertised position includes:

• publishing high impact work in top-tier conferences and journals in order to build a substantial resume and strong international collaborations

• engaging with researchers in related fields

• mentoring and collaborating with KAUST postdocs, grad students, and visiting students/researchers

• excellent total compensation, including accommodation, family health benefits, moving expenses, and a substantial tax-free annual salary

• living in a vibrant, multi-cultural campus town on the Red Sea

Applicants must have:

• a PhD degree with excellent academic credentials

• 3+ years of research experience (after PhD) in computer vision and machine/deep learning demonstrated by high quality publications

• good English communication skills (oral and written)

Applications are being accepted on a rolling basis until the position is filled. Anyone interested in this position should send a full CV with a complete list of publications and projects to Prof. Bernard Ghanem (bernard [DOT] ghanem [AT] kaust [DOT] edu [DOT] sa).

I'm looking for motivated and excellent MS and PhD students as well as interns interested in computer vision and/or machine learning. Skills in deep learning are a big plus. Please send a full CV with a complete list of your publications and projects, as well as, an unofficial academic transcript to Prof. Bernard Ghanem (bernard [DOT] ghanem [AT] kaust [DOT] edu [DOT] sa).