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University Assistant Prae-Doc(m/w/x)
NLP research for social sciences in an international lab. Prior research experience preferred. 14 salaries per year, ample computing resources.
Requirements
- Bachelor's or master's degree in computer science, informatics, data science, HCI, computational social science, machine learning, statistics, or computational linguistics
- Knowledge of NLP, large language models, machine learning, experimental design, and statistical analysis
- Interest in social science discipline and methodologies
- Prior research experience (thesis or lab work)
- Publications in top ML or NLP conferences (not required)
- Very good English communication and writing skills
- German language knowledge (B2) or willingness to learn
- Python knowledge preferred
- Agentic coding experience is a plus
- Initiative-taking
- Striving for independence and autonomy
- Desire to do research in the field
- Participation in academic community
- Curiosity about the world
- Self-motivation
Tasks
- Conduct research for publication in premier conferences and journals
- Run lab sessions and assist with lectures, examinations, and thesis supervision
- Mentor and collaborate with students at all levels
- Contribute to funding proposals
- Participate in scientific events like conferences and workshops
- Write a dissertation
- Assist with organizational and administrative tasks
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Advanced
Tools & Technologies
- Natural Language Processing
- Large Language Models
- Machine Learning
- Statistical Analysis
- Python
- Agentic coding
Benefits
Competitive Pay
- 14 salaries per year
Modern Equipment
- Ample access to computing resources
Learning & Development
- Internal and external training opportunities
Other Benefits
- Generous social services
- Visa assistance
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University Assistant Prae-Doc(m/w/x)
NLP research for social sciences in an international lab. Prior research experience preferred. 14 salaries per year, ample computing resources.
Requirements
- Bachelor's or master's degree in computer science, informatics, data science, HCI, computational social science, machine learning, statistics, or computational linguistics
- Knowledge of NLP, large language models, machine learning, experimental design, and statistical analysis
- Interest in social science discipline and methodologies
- Prior research experience (thesis or lab work)
- Publications in top ML or NLP conferences (not required)
- Very good English communication and writing skills
- German language knowledge (B2) or willingness to learn
- Python knowledge preferred
- Agentic coding experience is a plus
- Initiative-taking
- Striving for independence and autonomy
- Desire to do research in the field
- Participation in academic community
- Curiosity about the world
- Self-motivation
Tasks
- Conduct research for publication in premier conferences and journals
- Run lab sessions and assist with lectures, examinations, and thesis supervision
- Mentor and collaborate with students at all levels
- Contribute to funding proposals
- Participate in scientific events like conferences and workshops
- Write a dissertation
- Assist with organizational and administrative tasks
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Advanced
Tools & Technologies
- Natural Language Processing
- Large Language Models
- Machine Learning
- Statistical Analysis
- Python
- Agentic coding
Benefits
Competitive Pay
- 14 salaries per year
Modern Equipment
- Ample access to computing resources
Learning & Development
- Internal and external training opportunities
Other Benefits
- Generous social services
- Visa assistance
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
TU Wien
Industry
IT
Description
Das Institut für Materialchemie entwickelt und untersucht heterogene Katalysatoren, insbesondere innovative Materialien durch Kombination von Sulfiden und Oxiden, mit Fokus auf die Nutzung von CO2 aus Abgasströmen.
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