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Postdoctoral Researcher(m/w/x)
Analyzing large-scale company datasets to map ownership and political-business networks. Python or R programming skills required. Dynamic international environment with opportunities for scientific interaction.
Requirements
- Completed or soon-to-be-completed PhD in data science, network science, computational social science, or related fields
- Solid knowledge in network and data science
- Programming in Python or R
- Experience in data wrangling
- Good academic writing skills
- Good communication skills
- Good presentation skills in English
- Knowledge of text mining techniques (plus)
- Experience with large scale administrative data (asset)
- Strong interest in interdisciplinary research
- Interest in corruption, favoritism, rule of law
Tasks
- Conduct complex analysis of large-scale company datasets
- Analyze ownership networks and political-business networks
- Match data on the legislative environment
- Perform data wrangling and matching
- Evaluate data quality and scientific relevance
- Present research findings at academic conferences
- Contribute to scientific and policy publications
- Collaborate with Profs. Janos Kertesz and Mihaly Fazekas
- Use causal machine learning and multi-layer network analysis
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- text mining
Benefits
Startup Environment
- Dynamic international environment
Other Benefits
- Leading center in network science and corruption research
- High livability in Vienna
Career Advancement
- Opportunities for further scientific interactions
- Solid basis for further career
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Postdoctoral Researcher(m/w/x)
Analyzing large-scale company datasets to map ownership and political-business networks. Python or R programming skills required. Dynamic international environment with opportunities for scientific interaction.
Requirements
- Completed or soon-to-be-completed PhD in data science, network science, computational social science, or related fields
- Solid knowledge in network and data science
- Programming in Python or R
- Experience in data wrangling
- Good academic writing skills
- Good communication skills
- Good presentation skills in English
- Knowledge of text mining techniques (plus)
- Experience with large scale administrative data (asset)
- Strong interest in interdisciplinary research
- Interest in corruption, favoritism, rule of law
Tasks
- Conduct complex analysis of large-scale company datasets
- Analyze ownership networks and political-business networks
- Match data on the legislative environment
- Perform data wrangling and matching
- Evaluate data quality and scientific relevance
- Present research findings at academic conferences
- Contribute to scientific and policy publications
- Collaborate with Profs. Janos Kertesz and Mihaly Fazekas
- Use causal machine learning and multi-layer network analysis
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- text mining
Benefits
Startup Environment
- Dynamic international environment
Other Benefits
- Leading center in network science and corruption research
- High livability in Vienna
Career Advancement
- Opportunities for further scientific interactions
- Solid basis for further career
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Central European University
Industry
Education
Description
The company is an international university focused on social sciences, humanities, law, and environmental sciences, promoting open societies.
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