Postdoctoral Research Fellow - Computer vision, AI, machine learning

OPPORTUNITY DETAILS

Total reward

0 $

State University

King Abdullah University of Science and Technology (KAUST)

Area

Middle East

Host Country

Saudi Arabia

Deadline

30 Jun 2021

Study level

Doctoral Degree

Opportunity type

Post-doctoral

Specialities

Information technology and computer science

Opportunity funding

Not funding

Eligible Countries

This opportunity is destined for all countries

Eligible Region

All Regions

The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR) group of Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is looking for a postdoctoral researcher in the area of computer vision, AI, and machine learning. The Research Vision-CAIR group performs research and develops computational approaches in the following research themes:

A video explaining what is Imagination-Inspired AI relating to themes (a) and (c) is available here:

A presentation covering continual learning methods relating to theme (b) is available here:

More information about the research group can be found here:

We offer

We offer Fixed Term Contract for the duration of up to 3 years (initial appointment will be for a period of 1 year and after satisfactory evaluation it can be extended for a total duration of 3 years).

As a KAUST postdoc or researcher, you will have access to state-of-the-art research facilities, including a supercomputer. You will work in an exciting international environment with researchers from over 100 nationalities and will have the opportunity to participate in the development of computational algorithms and tools for problems of relevance to Vision-CAIR research group and Visual Computing Center (VCC) with a particular focus on learning efficiency, computational creativity, continual learning, computer vision, and natural language processing.

You will have the opportunity to boost your career development and training, read more here. Post-docs receive highly competitive salaries and other benefits, inclusive of accommodation, healthcare, medical and dental insurance, relocation allowance, one round-trip travel to home country per year, access to on-campus daycare and International Baccalaureate (IB) school, campus transportation (on-demand as well as scheduled), exceptional community services, facilities, programs, and events to help you enjoy an active, healthy, balanced and fulfilled life at KAUST. These community resources allow postdocs and researchers to balance their professional and family commitments.

We welcome candidates with a PhD in Computer Science, Engineering, Informatics, or related areas, with a strong background in the theory and practice of one or more of following research areas - machine learning efficiency, computational creativity, continual learning, computer vision, and natural language processing.

We require documented experience about computer vision, machine learning, deep learning or optimization, demonstrated by high-quality publications. We consider as an advantage documented experience publishing in top Computer Vision and AI conferences includingCVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/AAAI. We consider as an added advantage documented experience in specific instances of following topics: creative AI, zero-shot learning, generative models, and continual learning.

The call is open to all applicants from any nationality. International applications are strongly encouraged. Fluent written and verbal communication skills in English are mandatory. We require commitment, team working and a critical mind.

You will be required to complete an application form and upload all of the following materials:

Because of the high volume of applications that we usually receive, only applications submitted through the online Interfolio form will be considered (https://www.interfolio.com/). Applications will be pre-screened as soon as they are received and will deserve full consideration through rolling cut-off date periods until all positions are filled. Candidates having applied by a given cut-off date (see below) will receive feedback within a reasonable delay thereafter.

For more information, please contact:

Prof. Mohamed H. Elhoseiny

via email at: mohamed.elhoseiny@kaust.edu.sa , Subject: COMPUTER VISION - POSTDOCTORAL APPLICATIONS.

Because of the high volume of applications that we receive, only applications submitted through the online Interfolio form will be considered. Please refer to the interfolio links at (http://vision-cair.kaust.edu.sa/vision-cair-apply).

Next cut-off date for applications: June 30, 2021.

Please click on the "Apply Now" button to submit your application.