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 deep learning for direct applications to basic sciences (e.g. chemistry, chemical engineering, energy, and material science). The researchers for this opening will work at KAUST to investigate and develop principled deep learning methods for high-impact and futuristic applications of AI to science. The work will focus on building foundation models (e.g. molecular representation learning), as well as, tackling downstream scientific tasks (e.g. molecule property prediction and discovery). One application area seeks to build AI agents to enable "The Lab of the Future", an automated robotic chemical reaction platform that requires no human intervention and that self-calibrates to optimize reactions and discover new reactions/materials (e.g. new reactions for efficient energy generation and new materials for better CO2 capture). These applications have the potential of revolutionizing various science domains and directly impacting serious challenges facing the world we live in (e.g. climate change). 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 and collaborating with researchers in AI and basic science

• 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 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 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 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), and tools/fundamentals of deep/machine learning (e.g. continual learning, robustness and certification of deep networks, training strategies, and general theory). 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).