Computational Social Science Researcher: The position is located within the team of a sociology professor specializing in Computational Social Sciences. The focus lies on the acquisition, processing, analysis, and provision of digital behavioral data to explore socially relevant issues using innovative methods.
Computational Social Science Researcher at Ludwig-Maximilians-Universität München
- 🏛️ Institution: Ludwig-Maximilians-Universität München, a leading European university with a 500-year tradition, emphasizing rigorous academic training and outstanding research.
- 🧑🏫 Department: Social Science Faculty – Institute for Sociology, Computational Social Science.
- 💰 Compensation: TV-L E13 salary scale.
- 🕰️ Position: Full-time (100%), temporary position from 01.04.2024 to 31.03.2025.
- 📅 Application Deadline: 08.02.2024.
- 👥 Team Focus: The position is within a sociology professorship team focusing on Computational Social Sciences, aiming to investigate socially relevant issues using innovative methods for acquiring, processing, analyzing, and providing digital behavioral data.
- 🌍 Location: Munich.
- 📚 Responsibilities:
- Conduct social science lectures in BA and MA programs.
- Collect and analyze digital behavioral data using automated methods.
- Engage in scientific research in Computational Social Science, producing publications in English and German.
- 👩🎓 Requirements:
- Master’s or Diploma degree and Ph.D. in Sociology or related fields.
- Proficiency in empirical social research, quantitative methods, R and/or Python programming.
- Enthusiastic, team-oriented individual with good communication skills in German and English.
- Previous university teaching experience is advantageous.
- 🎁 Offer:
- Interesting and responsible position at a renowned Sociology Institute.
- Central Munich location, possible partial work from home.
- Access to resources, infrastructure, and support for conference/travel opportunities.
- Potential for a six-month extension with reduced teaching duties.
- 📧 Contact:
- Applications with standard documents by 08.02.2024 to team.css@soziologie.lmu.de.
- Selection interviews expected on 12.02.2024.
- Contact Prof. Dr. Carsten Schwemmer for inquiries: carsten.schwemmer@lmu.de.
- 🌐 LMU Description: LMU Munich, where scientists work at the highest level on future issues related to humanity, society, culture, environment, and technology, supported by competent staff in administration, IT, and technology.
Subject Area: Computational Social Science, Sociology, Data Science, Statistics, Psychology, Computer Science
Eligibility: Candidates must hold a Master’s or Diploma degree, as well as a PhD in Sociology or a related field such as Data Science, Statistics, Psychology, or Computer Science. Proficiency in quantitative methods of empirical social research, programming in R and/or Python, and application of Computational Social Science methods is required. Strong motivation, teamwork skills, and fluency in both German and English are essential. Previous university teaching experience is advantageous.
How to Apply: Submit applications including a cover letter, CV, and proof of PhD defense in a single PDF (max. 10MB) to: team.css@soziologie.lmu.de by February 8, 2024. Selection interviews are scheduled for February 12, 2024. For inquiries, contact Prof. Dr. Carsten Schwemmer at carsten.schwemmer@lmu.de.
Last Date: 08 February 2024
Description: The position offers an exciting opportunity to engage in sociological research at a prestigious institute in Munich. It involves teaching responsibilities, data analysis, and scholarly publication in English and German. The workplace is centrally located and accessible by public transport, with the option for partial remote work. Additional resources, including computing hardware and student assistants, are provided, along with opportunities for conference attendance and workshops. The employment contract may be extended for up to six months with reduced teaching duties. LMU supports work-life balance and offers family-related assistance. Part-time employment is available, and disabled individuals with equivalent qualifications are given preference.
Join the Ludwig-Maximilians-Universität München, where science is everything, and contribute to cutting-edge research addressing the challenges of humanity, society, culture, environment, and technology.
