CareerPlan

Doktorand:in Wirtschaftswissenschaften – NLP-gestützte Analyse...

Jülich, NORDRHEIN_WESTFALENFull-time2026-10-20 → 2026-11-10

Core

Identifying and specifying energy policy-relevant actor groups using economic theories and implementing specifications for an NLP-based analysis tool to support decision-makers with public opinion analysis.

Role type

PhD researcher (Doctoral candidate) in Economics

Builds

Software-supported information system for societal discourse and trend analysis

Domain

Energy policy, Economics, Natural Language Processing

Deliverable

production ML models

Required skills

Natural Language Processing, multivariate analysis, economic theory, empirical research methods, academic writing, literature review

Preferred skills

English (C1/C2), stakeholder analysis, ethical evaluation

Technologies

NLP tools, multivariate analysis software

Responsibilities

Conduct literature reviews and summarize findings orally and in writing; Research, describe, and analyze information about actor groups using quantitative and qualitative empirical methods; Publish results in refereed journals and at conferences; Participate in team meetings and project meetings