Part-Time Pre-Doctoral Researcher: Data & Energy Analytics

Euraxess

Wien

Hybrid

EUR 29,000 - 35,000

Part time

2 days ago
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Benefits offered by this job

Six weeks vacation
Training opportunities
Benefits package
Meaningful work
Modern campus
Public transport access
Meal allowance
In-house medical officer

Job summary

WU Vienna University of Economics and Business invites applications for a part-time pre-doctoral researcher at IDEaS in Vienna. The position runs 30 hours per week starting January 2027 and is funded until September 2029. The role focuses on data-driven analysis of energy technologies and climate action.

You will design data pipelines, apply econometric methods, and co-supervise theses while engaging with external stakeholders and contributing to teaching activities.

Qualifications

  • Master's degree in a quantitative/analytical field enabling doctoral enrollment.
  • Demonstrated ability to build datasets from diverse sources.
  • Strong coding skills in Python or R with version control.
  • Experience in econometrics or statistics and interest in energy/climate topics.

Responsibilities

  • Conduct research and develop high-quality datasets and data pipelines.
  • Publish in leading international peer-reviewed journals.
  • Co-supervise bachelor's and/or master's theses.
  • Collaborate with industry, government, and academic partners.
  • Support organizational tasks and contribute to teaching activities.

Skills

Building datasets
Econometrics
Empirical analysis
Energy/climate interest

Education

Master's degree

Tools

Python
R

Job description

WU Vienna University of Economics and Business invites applications for a part-time pre-doctoral researcher at IDEaS in Vienna. The position runs 30 hours per week starting January 2027 and is funded until September 2029. The role focuses on data-driven analysis of energy technologies and climate action.

You will design data pipelines, apply econometric methods, and co-supervise theses while engaging with external stakeholders and contributing to teaching activities.

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