Project director for project „JobKG – Graph Romanian Market

Organisation/Company Bucharest Universty of Economic Studies Research Field Economics Researcher Profile Leading Researcher (R4) Positions PhD Positions Final date to receive applications 24 Apr 2026 - 16:00 (Europe/Bucharest) Country Romania Type of Contract Temporary Job Status Part-time Hours Per Week 30 Offer Starting Date 15 May 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?

No

The project aims at comprehensively analyzing the Romanian labor market using data available on online recruiting platforms deploying state-of-art approaches in Natural Language Processing, Semantic Web and Agent-based Modeling. For this purpose, an extensive quantitative and qualitative analysis of the Romanian labor market is performed in order to prospect the opinion of various groups of stakeholders regarding the alignment and calibration of skills demanded by the labor market and those developed and trained in the education system.

Given the fact that employment-oriented online services are the main source of information for job seekers willing to search and apply for vacant positions, they represent a rich source of data for understanding which occupations are in demand and also what skills are relevant for each occupation. Starting from existing taxonomies and by extracting data using advanced Natural Language Processing techniques, a knowledge graph of the Romanian labor market will be created.

Through an Agent-based Modeling approach the dynamics of the labor market will be analyzed considering various scenarios. To this end agents having similar characteristics to the entities (job seekers and firms) will be defined in an agent-based model, which will simulate the demand and supply. Based on agent-based simulations, a series of recommendations are made to reduce the gap between demand and supply on the job market.

Furthermore, an online platform will be developed to serve as a support tool for the job seekers that can select from a list of skills the ones they possess, and the platform will recommend matching jobs. Other stakeholders can also benefit from the use of the platform, as it will help them reduce the time needed to find proper employees or adapt their curricula to the requirements of the market.

Based on the results of the analyses, a series of recommendations will be made for all categories of stakeholders to support the process of job matching

• Phd degree in branch of science- economic sciences, the field of physical sciences and engineering, life sciences, computer science.

The PhD degree must have been awarded a minimum of 3 years before the date of approval of the organization of the recruitment and selection procedure( 29.01.2025)

Specific Requirements

• The candidate has led, in the past 7 years prior to the deadline before the date of approval of the organization of the selection procedure (24.11.2025) at least one research and development project
• Minimum eight papers (identified as document type/ document type article, review or proceedings paper ) published in Science Citation Index Expanded journals ranked amongst the first 50% (First [Q1] or Second [Q2] Quartile) in one subfield/Web of Science Category set by the Clarivate Analytics;

At least four papers out of the eight papers are in top 25% (Q1 as of the Journal Impact Factor (JIF ) or the Article Influence Score (AIS )), within one subfield/ Web of Science Category set by the Clarivate Analytics;.

Languages ENGLISH Level Excellent

Research Field Economics Years of Research Experience More than 10

Work in a dynamic group.

Eligibility criteria

Good command of English. Knowledge in project field.

Number of offers available 1 Company/Institute Bucharest University of Economic Studies Country Romania State/Province Bucharest City Bucharest Street Piata Romana no 6 Geofield