Data-Driven Energy Research Fellow (PhD Track)

Wirtschaftsuniversität Wien; Wien; Presencial; EUR 29.000 - 35.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Six weeks vacation

Flexible hours

Training opportunities

Employee benefits

Modern campus

Excellent transit

Descripción de la vacante

Wirtschaftsuniversität Wien's Institute for Data, Energy, and Sustainability (IDEaS) seeks a pre‑doctoral researcher for 30 hours/week starting 1 January 2027, ending 30 September 2029. You will join a data-driven research group focusing on energy transitions and climate action.

The role combines dataset construction using NLP/LLMs, empirical analysis with econometrics, and mentoring while pursuing a PhD at WU. Collaboration with industry, government, and academia is encouraged.

Formación

• Master's degree (or equivalent) that qualifies you for enrollment in a doctoral program at WU, in a quantitative field such as data science, computer science, information systems, statistics, economics, or engineering.
• Experience building datasets from unstructured sources and motivation to create new datasets.
• Proficiency in Python or R with version control, demonstrated through projects or a thesis.

Responsabilidades

• Conduct research contributing to IDEaS projects and publish in leading journals.
• Build and maintain high-quality datasets and data pipelines.
• Pursue a PhD at WU, dedicating one third of working hours to dissertation; co-supervise theses.

Conocimientos

Dataset construction

Python/R

Econometrics/Statistics

Energy/Climate interest

Educación

Master's degree

Herramientas

Python

R

NLP/LLMs

Descripción del empleo

Wirtschaftsuniversität Wien's Institute for Data, Energy, and Sustainability (IDEaS) seeks a pre‑doctoral researcher for 30 hours/week starting 1 January 2027, ending 30 September 2029. You will join a data-driven research group focusing on energy transitions and climate action.

The role combines dataset construction using NLP/LLMs, empirical analysis with econometrics, and mentoring while pursuing a PhD at WU. Collaboration with industry, government, and academia is encouraged.