AI Research Scientist
vor 4 Wochen
Job Overview
As a Data Scientist (f/m/d) at the Karlsruher Institut für Technologie, you will develop interdisciplinary expertise in the realm of Digital Science. Your primary objective will be to analyze extensive datasets and render them applicable for technology evaluation (TA). Your responsibilities will include:
- Conducting discourse analyses on social media and online data regarding contemporary trends
- Performing social science evaluations through automated methods
- Visualizing research findings effectively
- Creating open-source software tailored for technology assessment purposes
- Collaborating on the ITAS project "TA-KI" and facilitating the use and critical reflection of AI tools for knowledge acquisition in TA studies aimed at policy guidance
- Engaging in national and international knowledge sharing
In addition to your research duties, there is an opportunity to pursue a PhD.
Personal Qualifications
You should possess a Master's degree with a concentration in quantitative analysis, computational skills, and data interpretation, such as in data science, data analytics, digital humanities, computational social science, artificial intelligence, machine learning, statistics, computer science, or related fields. A substantial amount of professional experience with digital methodologies is essential, particularly with NLP and ML libraries/packages for identifying and categorizing argumentation structures and their content. Proficiency in data visualization and web data collection techniques (including scraping and APIs) is required. Experience with social network data analysis, graph theory, academic publishing, and peer review, as well as familiarity with political systems and decision-making processes, will be advantageous. Strong communication skills and a willingness to work in an interdisciplinary environment are essential. Proficiency in both written and spoken German is beneficial, while English is mandatory.
Compensation
The salary will be categorized at level 13, contingent upon meeting professional and personal qualifications.
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