A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
PostAc (R): A Visual Interactive Search, Exploration, and Analysis Platform for PhD Intensive Job Postings
Tekijät: Xu CC, Mewburn I, Grant WJ, Suominen H
Toimittaja: Marta R. Costa-jussà, Enrique Alfonseca
Konferenssin vakiintunut nimi: Annual Meeting of the Association for Computational Linguistics
Julkaisuvuosi: 2019
Kokoomateoksen nimi: The 57th Annual Meeting of the Association for Computational Linguistics: Proceedings of System Demonstrations
Tietokannassa oleva lehden nimi: PROCEEDINGS OF THE 57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: SYSTEM DEMONSTRATIONS, (ACL 2019)
Aloitussivu: 43
Lopetussivu: 48
Sivujen määrä: 6
ISBN: 978-1-950737-49-9
DOI: https://doi.org/10.18653/v1/P19-3008
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/Publication/44933344
Over 60% of Australian PhD graduates land their first job after graduation outside academia, but 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 (R), 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.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
