新加坡國立大學機器學習與視覺實驗室誠徵博後 - offer
By Edward Lewis
at 2019-07-31T14:06
at 2019-07-31T14:06
Table of Contents
※ [本文轉錄自 AfterPhD 看板 #1TGIn87l ]
作者: coldman519 (我歌月徘徊 我舞影凌亂) 看板: AfterPhD
標題: [徵才] NUS 機器學習與視覺實驗室誠徵博後
時間: Wed Jul 31 13:50:59 2019
歡迎有CV/ML經驗並持有相關領域博士學位者報名
有興趣請直接聯絡到以下 email
--
Four post-doctoral research fellow positions are available now (starting as
early as Oct 2019) at the Learning and Vision Group ( http://www.lv-nus.org/
) with National University of Singapore. The postdocs will have the
opportunity to work with world class researchers on cutting edge problems
with profound academic and societal impact. In particular, they will work on
deep learning, and/or their applications for computer vision problems such as
object detection, segmentation and human pose estimation. Competitive
compensation will be offered to highly competitive candidates.
The ideal candidate should meet the following requirements:
(a) Possess or be in the process of completing a PhD degree in the area of
machine learning, deep learning or computer vision;
(b) Have a strong research record, demonstrated by having been published in
prestigious journals and conferences (e.g., ICML/NIPS/CVPR/ECCV/ICCV/TPAMI);
(d) Have strong programming skills;
(d) Be self-motivated and good at team working.
Interested applicants please email your cv to [email protected]
--
作者: coldman519 (我歌月徘徊 我舞影凌亂) 看板: AfterPhD
標題: [徵才] NUS 機器學習與視覺實驗室誠徵博後
時間: Wed Jul 31 13:50:59 2019
歡迎有CV/ML經驗並持有相關領域博士學位者報名
有興趣請直接聯絡到以下 email
--
Four post-doctoral research fellow positions are available now (starting as
early as Oct 2019) at the Learning and Vision Group ( http://www.lv-nus.org/
) with National University of Singapore. The postdocs will have the
opportunity to work with world class researchers on cutting edge problems
with profound academic and societal impact. In particular, they will work on
deep learning, and/or their applications for computer vision problems such as
object detection, segmentation and human pose estimation. Competitive
compensation will be offered to highly competitive candidates.
The ideal candidate should meet the following requirements:
(a) Possess or be in the process of completing a PhD degree in the area of
machine learning, deep learning or computer vision;
(b) Have a strong research record, demonstrated by having been published in
prestigious journals and conferences (e.g., ICML/NIPS/CVPR/ECCV/ICCV/TPAMI);
(d) Have strong programming skills;
(d) Be self-motivated and good at team working.
Interested applicants please email your cv to [email protected]
--
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offer
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