Research Scientist Opening at KAUST

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 the following research themes topics: video understanding (e.g. activity detection, retrieval, and object tracking), computer vision for automation (especially using simulation), and tools/fundamentals of deep/machine learning (e.g. structured optimization, robustness and sensitivity, 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 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).

Multiple Postdoc Openings at KAUST

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, machine/deep learning, and/or optimization. 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, retrieval, and object tracking), computer vision for automation (especially using simulation), and tools/fundamentals of deep/machine learning (e.g. structured optimization, robustness and sensitivity, 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).

Student/Intern Openings

I'm looking for motivated MS and PhD students as well as interns interested in computer vision and/or machine learning. Skills in deep learning, video processing, and optimization are a 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).