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首页> 外文会议>Annual meeting of the Association for Computational Linguistics >PostAc?: A Visual Interactive Search, Exploration, and Analysis Platform for PhD Intensive Job Postings
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PostAc?: A Visual Interactive Search, Exploration, and Analysis Platform for PhD Intensive Job Postings

机译：Postac ?:博士密集职位发布的视觉交互式搜索，探索和分析平台

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摘要

Over 60% of Australian PhD graduates land their first job after graduation outside academia, hut this job market remains largely hidden to these job seekers. Employers' low awareness and interest in attracting PhD graduates means that the term "PhD" is rarely used as a keyword in job advertisements; 80% of companies looking to employ similar researchers do not specifically ask for a PhD qualification. As a result, typing in PhD to a job search engine tends to return mostly academic jobs. We set out to make the market for advanced research skills more visible to job seekers. In this paper, we present PostAc?, an online platform of authentic job postings that helps PhD graduates sharpen their career thinking. The platform is underpinned by research on the key factors that identify what an employer is looking for when they want to hire a highly skilled researcher. Its ranking model leverages the free-form text embedded in the job description to quantify the most sought-after PhD skills and educate information seekers about the Australian job-market appetite for PhD skills. The platform makes visible the geographic location, industry sector, job title, working hours, continuity, and wage of the research intensive jobs. This is the first data-driven exploration in this field. Both empirical results and online platform will be presented in this paper.
机译：超过60％的澳大利亚博士毕业生在学术界毕业后将他们的第一份工作落地，但这就业市场仍然隐藏着这些求职者。雇主的高意识和吸引博士毕业生的感兴趣意味着术语“博士”很少用作职业广告中的关键字; 80％的公司希望雇用类似的研究人员没有特别要求博士资格。结果，在博士中输入职业搜索引擎往往会返回主要是学术工作。我们举行了为求职者提供高级研究技能的市场。在本文中，我们展示了Postac？，一个正宗职位帖子的在线平台，帮助博士毕业生磨砺他们的职业思维。该平台是通过研究识别雇主在想雇用高技能研究员时寻找的关键因素的关键因素的基础。它的排名模式利用馆藏的自由形式文本描述，以量化最追捧的博士技能，教育信息寻求者对博士技能的澳大利亚工作市场胃口。该平台可见地理位置，行业部门，职称，工作时间，连续性和研究密集工作岗位的工资。这是该字段中的第一个数据驱动探索。本文将介绍经验结果和在线平台。

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