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美国耶鲁大学招聘计算机方向博士后助理研究员

信息来源:未知 | 作者:admin | 时间:2016-01-21 10:57

【简介】博士后招聘网整理分享“美国耶鲁大学招聘计算机方向博士后助理研究员”,浏览查询更多博士后招聘计划请访问博士后招聘网

Job Details

A Postdoctoral Associate in Computer Science position is open in the IPCH Lens Media Lab. This is a full‐time, two‐year position, reporting to the Head of the LML.

The research goals of the LML are focused on the preservation and characterization of photographic materials with an emphasis on creating and interpreting large datasets gleaned from reference, archival, and museum collections. Building on this base, collaborations across disciplines in the humanities and sciences will be fostered to assemble and interpret datasets derived from a broad spectrum of cultural heritage materials.

Primarily through image/signal processing and machine learning techniques, the Postdoctoral Associate will pursue data-driven approaches for understanding art and cultural material with an emphasis on preservation and documentation but also touching on vital scholarly questions including issues of attribution, artistic working methodologies, stylistic development and spheres of artistic influence. Other datasets, including those derived from art/artifact storage and display environments (made using conventional and new generation, low power, sensors) are also contemplated. Through the development of data visualization methods, tools, and interfaces, meaning and impact of these data will be communicated to broad constituencies including scientists, conservators, art historians and curators.

Requirements

Candidates must have a PhD in computer science or a related field (e.g. signal and image processing, data science) obtained within the last five years. Strong interest in collaborative research as well as the desire and ability to work with cultural heritage and across academic and professional fields.

An advanced knowledge of the theory and practice of image processing and machine learning techniques; demonstrated ability to assess large datasets using statistical and visualization tools; excellent written and verbal skills, including English language fluency.

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