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:
Key requirements include good communication (verbal, writing, etc) and excellent publication record in high-quality journals and/or conference proceedings such as CVPR, ICCV, NeurIPS, ICML, ICLR, ECCV, Nature, TPAMI, AAAI. It is an opportunity to develop core algorithmic advances and aim at publishing them at these top venues. More details about the position can be found here.
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.
KAUST is an international, graduate-only research university with researchers from over 100 nationalities, located on the shores of the Red Sea in Saudi Arabia less than an hour drive north of Jeddah. KAUST offers outstanding research facilities, internationally competitive salaries, and generous research funding from KAUST as well as other funding opportunities through industry collaborations. KAUST attracts top international faculty, scientists, engineers and students to conduct curiosity-driven and goal-oriented research to address the world’s pressing scientific and technological challenges.
KAUST has an award-winning campus to live, work, study and play that is designed to inspire and motivate students, employees and their families to maintain an active lifestyle. The community members enjoy elementary and secondary schools, health clinic, on-demand as well as scheduled transportations, thematic community clubs, as well as several fitness and outdoor sports installations including sea-faring sports. On the cultural and leisure side, KAUST fosters the arts with a performance theater for concerts and plays as well as a movie theater, besides numerous dining options and the Red Sea just steps away, information may be found here.
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 including CVPR/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: email@example.com,
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.Meer informatie
|Titel||Postdoctoral Research Fellow - Computer vision, AI, machine learning|
|Employer||King Abdullah University of Science and Technology (KAUST)|
|Job location||King Abdullah University of Science and Technology, Thuwal|
|Gepubliceerd||april 21, 2021|
|Sluitingsdatum||juli 30, 2021|
|Vakgebieden||Informatica,   Algoritmen,   Kunstmatige intelligentie,   Machinaal Leren,   Computer Vision  |