15 PhD positions in GRAPES

IF 0.4 Q4 MATHEMATICS, APPLIED ACM Communications in Computer Algebra Pub Date : 2020-03-18 DOI:10.1145/3388974.3388978
I. Emiris
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Abstract

We are pleased to announce 15 open PhD Positions within the new European Network GRAPES: Learning, Processing and Optimising Shapes. GRAPES is a Marie Sk lodowska-Curie Innovative Training Network in the framework of H2020, started on December 1st, 2019, and lasting for 4 years. It includes 11 academic/industrial groups o.ering 15 PhD's, and 6 associated partners; it is coordinated by ATHENA Research & Innovation Center, Greece. GRAPES aims at advancing the state-of-the-art in Mathematics, Computer-Aided Design, and Machine Learning, in order to promote game changing approaches for generating, optimising, and learning 3D shapes, along with a multisectoral training for young researchers, supported by the active participation of SMEs. Recent advances in the above domains have solved numerous tasks concerning multimedia and 2D data. However, automation of 3D geometry processing and analysis lags severely behind, despite their importance in science, technology and everyday life, and some well-understood underlying mathematical principles. Concrete applications include simulation, manufacturing and 3D printing, visualisation and naval design, retrieval and mining, reconstruction and urban planning.
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葡萄学院15个博士职位
我们很高兴地宣布,在新的欧洲GRAPES网络中,有15个博士职位空缺:学习、加工和优化形状。GRAPES是一个基于H2020框架的Marie Sk lodowska Curie创新培训网络,始于2019年12月1日,持续4年。它包括11个学术/工业团体,获得15个博士学位,以及6个相关合作伙伴;它由希腊ATHENA研究与创新中心协调。GRAPES旨在推进数学、计算机辅助设计和机器学习领域的最先进技术,以促进生成、优化和学习3D形状的改变游戏规则的方法,并在中小企业的积极参与下为年轻研究人员提供多部门培训。上述领域的最新进展已经解决了与多媒体和2D数据有关的许多任务。然而,3D几何处理和分析的自动化严重落后,尽管它们在科学、技术和日常生活中很重要,并且有一些众所周知的基本数学原理。具体应用包括模拟、制造和3D打印、可视化和海军设计、检索和采矿、重建和城市规划。
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