沙特阿卜杜拉国王科技大学博士后—计算机视觉、计算机图形学和深度学习

沙特阿卜杜拉国王科技大学博士后—计算机视觉、计算机图形学和深度学习

阿卜杜拉国王科技大学（King Abdullah University of Science & Technology），简称KAUST，建立于2009年，坐落于沙特吉达，是一所专攻理工领域的国际化私立研究型大学。

学校拥有世界顶尖的科研设备和实验室，致力于通过跨学科的研究、教育和创新推进全球科学与技术进步。建校理念借鉴美国加州理工学院的“小而精”模式，只面向全球招收硕士、博士研究生，不招收本科生。大学官方语言为英语，是世界最为国际化的大学之一。截至2016年，在校研究生共940名，国际生人数占比69%；学校教职员工大部分来自西方及东亚教育发达地区，比例高达90%以上。

Postdoctoral Research Fellow - Computer vision, computer graphics and deep learning

King Abdullah University of Science and Technology

Saudi Arabia

April 16, 2024

Contact:N/A

Offerd Salary:Negotiation

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Contract Type:Other

Working Time:Negotigation

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King Abdullah University of Science and Technology: Postdoc Positions:

Computer, Electrical and Mathematical Science and Engineering Division (postdoc)

Location

KAUST, Thuwal 23955, KSA

Open Date

Feb 01, 2022

Description

The VCC center at KAUST is looking for postdoctoral researchers and research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep learning. A suitable candidate should have publications in good venues, mainly CVPR, ICCV, ECCV, ICLR, NeurIPS, Siggraph, and Siggraph Asia. Various research topics are available and the exact research topic depends on the background of a suitable candidate. The main topics of the group in the past few years were generative modeling, 3D reconstruction, image-editing, and deep learning using 3D data.

More information about the research group and KAUST can be found under the following links: https:// peterwonka.net/ https: // cemse.kaust.edu.sa/vcc https: // www. kaust.edu.sa/en

If you are interested in joining us, please contact pwonka@gmail.com or upload an application.

As a KAUST postdoc or researcher, you will have access to state-of-the-art research facilities. You will work in an exciting international environment with researchers from over 100 nationalities

Post-docs receive highly competitive salaries and other benefits, inclusive of accommodation, healthcare, medical and dental insurance, relocation allowance, access to International Baccalaureate (IB) schools, exceptional community services, facilities, programs, and events to help you enjoy an active, healthy, balanced and fulfilled life at KAUST.

Qualifications

We welcome candidates with a PhD in Computer Science with a strong background in the theory and practice of one or more of following research areas: computer vision, computer graphics, and deep learning.

We require documented experience about computer vision, machine learning, deep learning or optimization, demonstrated by high-quality publications.

Fluent written and verbal communication skills in English are mandatory.

Application Instructions

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

·  Curriculum Vitae (should include your GPA).

·  Contact information for 3 referees.

For more information, please email pwonka@gmail.com

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