Complexity Science Hub
3 Year PostDoc Position - Supply chains, global material flows and green transition(m/w/x)
Full-timeOn-siteExperienced
Wien
from 70,200 / year
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UNUniversity of Vienna
Scientific project assistant postdoc(m/w/x)
Wien
from 5,014.3 / month
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Analyzing patent, clinical trial, and firm-level data with advanced econometrics. PhD in economics, management, or data science required. Integration into high-profile ERC Synergy Grant project with unique datasets.
Requirements
- PhD in economics, management, data science, or related field
- Strong background in econometrics and empirical research
- Experience with large-scale data work and integration
- Programming skills in Python, R, Stata, and SQL
- Interest in pharmaceutical innovation, patents, science of science
- Machine learning methods experience (advantageous)
- Independent and collaborative work in international research
- Excellent English command (C1 written and spoken)
Tasks
- Conduct independent and collaborative empirical research
- Build and manage large-scale datasets
- Analyze patent data, clinical trials, and molecular and firm-level data
- Apply advanced econometric methods
- Study innovation processes and selection mechanisms
- Contribute to and lead academic publications
- Collaborate with international, interdisciplinary research teams
- Support project-related activities and administrative tasks
- Participate in teaching activities if interested
- Contribute to evaluation measures and quality assurance
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- Stata
- SQL
- machine learning
Benefits
Other Benefits
- Integration into high-profile ERC Synergy Grant project
- Access to unique, large-scale datasets
Modern Equipment
- Access to cutting-edge research infrastructure
Startup Environment
- Close collaboration with leading researchers
Diverse Work
- Dynamic and interdisciplinary research environment
Career Advancement
- Opportunities for career development
- Opportunities for international networking
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of University of Vienna and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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UNUniversity of Vienna
Scientific project assistant postdoc(m/w/x)
Wien
from 5,014.3 / month
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Analyzing patent, clinical trial, and firm-level data with advanced econometrics. PhD in economics, management, or data science required. Integration into high-profile ERC Synergy Grant project with unique datasets.
Requirements
- PhD in economics, management, data science, or related field
- Strong background in econometrics and empirical research
- Experience with large-scale data work and integration
- Programming skills in Python, R, Stata, and SQL
- Interest in pharmaceutical innovation, patents, science of science
- Machine learning methods experience (advantageous)
- Independent and collaborative work in international research
- Excellent English command (C1 written and spoken)
Tasks
- Conduct independent and collaborative empirical research
- Build and manage large-scale datasets
- Analyze patent data, clinical trials, and molecular and firm-level data
- Apply advanced econometric methods
- Study innovation processes and selection mechanisms
- Contribute to and lead academic publications
- Collaborate with international, interdisciplinary research teams
- Support project-related activities and administrative tasks
- Participate in teaching activities if interested
- Contribute to evaluation measures and quality assurance
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- Stata
- SQL
- machine learning
Benefits
Other Benefits
- Integration into high-profile ERC Synergy Grant project
- Access to unique, large-scale datasets
Modern Equipment
- Access to cutting-edge research infrastructure
Startup Environment
- Close collaboration with leading researchers
Diverse Work
- Dynamic and interdisciplinary research environment
Career Advancement
- Opportunities for career development
- Opportunities for international networking
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of University of Vienna and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
University of Vienna
Industry
Research
Description
The University of Vienna engages in international cutting-edge research and teaching, fostering curiosity and excellence since 1365.
Not a perfect match?
- Complexity Science Hub
3 Year PostDoc Position - Supply chains, global material flows and green transition(m/w/x)
Full-timeOn-siteExperiencedWienfrom 70,200 / year - Complexity Science Hub
PostDoc Program(m/w/x)
Full-timeOn-siteNot specifiedWien - mySugr GmbH
Principal Quantitative Scientist(m/w/x)
Full-timeOn-siteSeniorWienfrom 3,843 / month - paiqo GmbH
Data Scientist(m/w/x)
Full-timeOn-siteSeniorWien - mySugr GmbH
Digital Biomarker Data Scientist(m/w/x)
Full-timeOn-siteSeniorWienfrom 3,455 / month