Scientific Project Employee Without Doctorate (M/F/D)

Universities and Institutes of Austria

Austria

November 2, 2022

Description

  • Organisation/Company: Karl-Franzens-University Graz
  • Research Field: Economics
  • Researcher Profile: First Stage Researcher (R1)
  • Application Deadline: 02/11/2022 00:00 - Europe/Brussels
  • Location: Austria › 8010 Graz
  • Type Of Contract: Temporary
  • Job Status: Part-time
  • Hours Per Week: 30
  • Offer Starting Date: 02/01/2023
  • Your duties
  • Active participation in the interdisciplinary research project “The making of the incredibly differentiated labor market”
  • Writing a dissertation and research in the field of labor economics
  • Participation in Institute's activities
  • Participation in activities of the research network “Human Factor in Digital Transformation”
  • Participation in organizational and administrative tasks
  • Your Profile
  • Master degree in Economis with excellent results
  • Interest in empirical research based on a large dataset of job offers
  • Interest in new techniques of data mining
  • Very good command of written and spoken English
  • Command of written and spoken German (desirable)
  • Self-initiative
  • Ability to work in teams
  • Benefits

    The minimum salary as stated in the collective agreement and according to the classification scheme is EUR 3.058,60 gross/month (for full-time employment). This minimum salary may be higher due to previous employment periods eligible for inclusion and other earnings and remunerations.

    Eligibility criteria

    The University of Graz strives to increase the proportion of women in particular in management and faculty positions and therefore encourages qualified women to apply.

    Especially with regard to academic staff, we welcome applications from persons with disabilities who meet the requirements of the advertised position.

    Applicants with proof of COVID-19 vaccination will be given preference if equally qualified. For further information, please refer to our general application regulations.

    For further information or questions, please contact:

    Julia Wurzinger

    julia.wurzinger@uni-graz.at

    Additional comments

    PR-Summary:

    We describe the emergence of and the continuous change in the labor market in Austria over a time span of about 100 years from the mid of 19th to the mid of 20th century through the lens of job ads in newspapers. A large pool of job ads generated from the ANNO newspaper database provided by the ONB is the basis of our analysis. From this pool we use the advertisements pages of the 35 highest-circulation German-language newspapers from Austria-Hungary and isolate the individual job advertisements. As the almost 8 million newspaper pages of the 35 newspapers cannot be analysed manually, we need an algorithm to help and translate the job offers into machine-readable language. . To assess these short, differentiated texts, we rely on background knowledge about the early Austrian labor market and on theoretical insights from the two-sided matching process. Natural language processing techniques (sentiment analysis, topic modeling) are harnessed to assess the huge amount of qualitative information.

    We aim for three goals: First, we intend to generate a unique data source for empirical analyses in various fields of humanities and economics, assuming that job advertisements in newspapers are a great source of individuals' wills, wishes and offers, which are socially embedded but widely unfiltered by others. Second, we want to illustrate the strong change in labor relationships in many dimensions such as extent, regional reach, sector focus, skill requirements, job characteristics, self-perceptions of employers and employees and expected or pretended relationships. Job ads hold many qualitative information about the vacancy and the candidate which can be assessed using modern natural language processing tools. We document the emergence, development and differentiation of the Austrian labor market and job ads are the means to overcome incomplete information in this market.

    Third, we want to test and further develop digital methods for text mining and text analyses on a database of millions of advertisements with fairly heterogeneous content and structure. Standard algorithms will not suffice in our project. We will rely on adjusted cleaning and correction procedures as a first study based on a small sample has shown. The efforts are nevertheless worth doing it: we will provide a database of millions of advertisements from a period of 100 years which hold qualitative “raw” data. We are confident that this data is interesting for several fields of social science also beyond our interest in heterogeneity in the labor market.

    Contact Information
  • Organisation/Company: Karl-Franzens-University Graz
  • Department: Institute of Economics
  • Organisation Type: Higher Education Institute
  • Website: https: // jobs.uni-graz.at
  • Country: Austria
  • City: 8010 Graz
  • State/Province: Styria
  • Postal Code: 8010
  • Street: Halbärthgasse 8
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