AI and Data Science Expert

vor 3 Wochen


Karlsruhe, Baden-Württemberg, Deutschland Karlsruher Institut für Technologie Vollzeit

Job Overview

As a Data Scientist (f/m/d) at the Karlsruher Institut für Technologie, you will develop a multidisciplinary understanding of Digital Science. Your primary goal will be to analyze extensive datasets and transform them into actionable insights for technology assessment (TA). Your responsibilities will include:

  • Conducting discourse analyses on social media and online platforms to track current trends
  • Performing social science evaluations through automated methodologies
  • Creating visual representations of research findings
  • Developing open-source software tailored for technology assessment needs
  • Collaborating on the ITAS project "TA-KI" and facilitating the application and contemplation of AI tools for knowledge acquisition in TA studies aimed at policy guidance
  • Engaging in national and international knowledge sharing

Additionally, there is an opportunity to pursue a PhD alongside this research.

Personal Qualifications

Candidates should possess a Master's degree focused on 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 minimum of several years of professional experience with digital methodologies is essential, particularly with NLP and ML libraries/packages for identifying and categorizing argumentation structures and content. Proficiency in data visualization and web data collection techniques (including scraping and APIs) is necessary. Experience with social network data analysis, graph theory, academic publishing, peer review processes, and familiarity with political systems and decision-making frameworks will be advantageous. Strong communication skills and an openness to interdisciplinary collaboration are crucial. Proficiency in German is beneficial, while English is mandatory.

Compensation

The position offers a salary in category 13, contingent upon meeting professional and personal criteria.



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