---

---

Location

Us, 50250 | France

---

Job description

Postdoctoral Research Fellow Computer vision AI machine learning (2 years)

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

Oct 02 2021

Description

The Computer VisionCore Artificial Intelligence Research (VisionCAIR) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is looking for postdoctoral researchers in the area of computer vision AI and machine learning. The initial appointment will be for 2 years with a possible extension with a tentative start date in January 2022 but may also start earlier. KAUST offers competitive/generous postdoc compensations.

The Research VisionCAIR group performs research and develops computational approaches in the following research themes:

• ( a) learning efficiency computational creativity (zero fewshot and longtail learning of 2D and 3D vision tasks. This also includes efficient generative models that are capable of generating and understanding unseen art and fashion in 2D and 3D);
• (b) continual learning (e.g. alleviating catastrophic forgetting in various learning settings including recognition RL);
• (c) vision and language (this overlaps with the former themes as 2D and 3D vision is often integrated with language).

Related papers by the VisionCAIR members

Theme A :

• Aligning Latent and Image Spaces to Connect the Unconnectable ICCV 2021 Ivan Skorokhodov Grigory Sotnikov Mohamed Elhoseiny
• Adversarial Generation of Continuous Images Ivan Skorokhodo Savva Ignatyev Mohamed Elhoseiny CVPR 2021
• Class Normalization for (Continual) ZeroShot Learning Ivan Skorokhodov Mohamed Elhoseiny ICLR 2021
• Exploring Long Tail Visual Relationship Recognition with Large Vocabulary ICCV 2021 Sherif Abdelkarim Aniket Agarwal Panos Achlioptas Jun Chen Jiaji Huang Boyang Li Kenneth Church Mohamed Elhoseiny
• Wlfflins Affective Generative Analysis of Artworks Divyansh Jha Hanna Chang and Mohamed Elhoseiny ICCC 2021
• Ahmed Elgammal Bingchen Liu Mohamed Elhoseiny and Marian Mazzone C AN: Creative Adversarial Networks International Conference on Computational Creativity( ICCC ) 2017

Theme B continual learning (selected papers):

• Class Normalization for (Continual) ZeroShot Learning Ivan Skorokhodov Mohamed Elhoseiny ICLR 2021
• Compositional Continual Language Learning ( ICLR 20) Yuanpeng Li Liang Zhao Ken Church Mohamed Elhoseiny Code: confidential
• Uncertaintyguided Continual Learning with Bayesian Neural Networks ( ICLR20) Sayna Ebrahimi Mohamed Elhoseiny Trevor Darrell Marcus Rohrbach Code: confidential
• Efficient Lifelong Learning with AGEM ( ICLR 19) Arslan Chaudhry MarcAurelio Ranzato Marcus Rohrbach Mohamed Elhoseiny confidential
• Memory Aware Synapses: Learning what (not) to forget. ( ECCV 18) R Aljundi F Babiloni M Elhoseiny M Rohrbach and T Tuytelaars Code: confidential

Theme C Vision&Language learning (selected papers):

• VisualGPT: Dataefficient Image Captioning by Balancing Visual Input and Linguistic Knowledge from Pretraining Jun Chen Han Guo Kai Yi Boyang Li Mohamed Elhoseiny Arxiv 2021 Vision& Language Transformers

• CIZSL: Creativity Inspired Generative ZeroShot Learning Mohamed Elhoseiny Kai Yi Mohamed Elfeki TPAMI 2021 submission Zeroshot Learning Generative Models.

• ArtEmis: Affective Language for Art Panos Achlioptas Maks Ovsjanikov Kilichbek Haydarov Mohamed Elhoseiny Leonidas Guibas CVPR 2021.
• Mohamed Elhoseiny Mohamed Elfeki
  Creativity Inspired Zero Shot Learning Thirtysixth International Conference on Computer Vision ( ICCV ) 2019

Videos

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

• confidential
• confidential
• artemisdataset.org (Affective Language for Visual Art) at the intersection between Art and Language & Vision

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

• confidential

More information about the research group can be found here:

• confidential
• confidential
• confidential

Requirements include good communication (verbal writing etc) and excellent publication record in highquality journals and/or conference proceedings such as CVPR ICCV NeurIPS ICML ICLR ECCV Nature TPAMI AAAI Science etc. 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.

As a KAUST postdoc or researcher you will have access to stateoftheart 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 VisionCAIR 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. Postdocs receive highly competitive salaries and other benefits inclusive of accommodation healthcare medical and dental insurance relocation allowance one roundtrip travel to home country per year access to oncampus daycare and International Baccalaureate (IB) school campus transportation (ondemand 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.

Qualifications

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 highquality 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 zeroshot 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.

Application Instructions

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

• Curriculum Vitae
• publications especially in CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/AAAI/TPAMI.
• Copies of up to three papers substantiating your background and experience in these topics.
• Contact information for 3 referees.

For more information please contact:

Prof. Mohamed H. Elhoseiny

via email at: confidential

Subject: COMPUTER VISION POSTDOCTORAL APPLICATIONS.

Next cutoff date for applications: November 30 2021.

Application Process

This institution is using Interfolios Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials including confidential letters of recommendation free of charge.

More jobs on

---

Job tags

---

---

Salary