Research Assistant (m/f/d)
(E 13 TV-G-U)
is available at the next possible date for a period of three years within the project FACES – Feasibility, Acceptance, and Data Quality of New Multimodal Surveys. The project is part of the Infrastruc-ture Priority Programme New Data Spaces for the Social Sciences (SPP 2431, see https://www.new-data-spaces.de/en-us/), which is funded by the German Research Foundation (DFG). The salary group classification is based on the job characteristics determined by the collective labour agreement in effect for the Goethe University (TV-G-U).
The aim of the project is to develop and test an interview model in the context of survey research, data analysis methods for automatic interview modelling and the development of avatar technologies for Virtual Reality (VR) and Augmented Reality (AR) -supported interviews in survey research. Finally, a virtualized embodied interviewer will be developed and tested on this basis.
The applicant will be expected to contribute to the project and actively participate in the workshops and events of the SPP. We are looking for a highly qualified individual with a strong interest in working in the field of cutting-edge research methods, especially in the area of NLP and Virtual Reality, and in team-oriented development and application of innovative, research-oriented methods in the field of survey research and social sciences. With the SPP New Data Spaces for the Social Sciences and the Text-Technology Lab, in which the position will be embedded, we offer two research-oriented, internationally focused working environments in the fields of computational humanities, multimodal computing, machine learning and artificial intelligence. This includes funding for conference attendance and individual career development.
Requirements:
• Completed academic university degree (Master’s) in a relevant subject with a focus on information science.
• Very good English language skills (C1).
• Demonstrable experience in the field of VR or AR systems and methods of machine learning or artificial intelligence.
• Extensive programming skills in Java, Python or similar.
• Extensive knowledge of C# and the use of Unity.
• An interest in social science issues is desirable.
Please send your application with the usual documents (cover letter, CV, copies of certificates) electronically in a summarized PDF document by 14.05.2024 to Prof. Dr. Alexander Mehler: mehler@em.uni-frankfurt.de.