Postdoc in Computational Social Science: Join the Junior Research Group at the Center for Synergy of Systems (SynoSys) at TUD Dresden University of Technology to delve into the societal impact of digitalization through computational methods.
- Designation: Research Associate / Postdoc
- Research Area: Computational Social Science
- Location: TUD Dresden University of Technology, Dresden, Germany
- Eligibility/Qualification:
- University degree in applied computational sciences and a PhD degree.
- Interest in transdisciplinary research at the intersection of computer science and social sciences, focusing on natural language processing and network analysis.
- Proficiency in Python or R for data science applications.
- Ability to work collaboratively in an interdisciplinary environment.
- Fluency in English, both spoken and written.
- Ideal experience in NLP, large language models, longitudinal data, and data privacy/anonymization.
- Job Description:
- Engage in scientific research activities within the Junior Research Group in Computational Social Science, particularly focusing on computational methods for studying social systems with a strong emphasis on text and image data analysis.
- Contribute to writing scientific publications, conducting literature searches, presenting at professional conferences, and assisting in third-party funding applications.
- How to Apply:
- Submit a detailed application by August 16, 2024.
- Application documents must be in English and include:
- Letter of motivation (cover letter).
- Curriculum vitae with a list of publications.
- English summary of your dissertation (if applicable, max. 2 pages).
- Degree certificate.
- Contact details of two references.
- Last Date for Apply: August 16, 2024
Don’t miss this unique opportunity to become a part of cutting-edge research focusing on information propagation, language dynamics, and social network analysis with a prestigious university offering a dynamic and international research environment. Apply now and contribute to innovative scientific advancements in Computational Social Science!
