Research Associate

vor 2 Wochen

Dresden, Deutschland Technical University Vollzeit

**Technische Universität Dresden (TUD)**, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented, regionally anchored top university as it focuses on the grand challenges of the 21st century. lt develops innovative solutions for the world's most pressing issues. In research and academic programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity and transfer of science to society. As a modern employer, it offers attractive working conditions to all employees in teaching, research, technology and administration. The goal is to promote and develop their individual abilities while empowering everyone to reach their full potential. TUD embodies a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution.

At the **Faculty of Electrical and Computer Engineering, Institute of Acoustics and Speech Communication, Chair of Acoustics and Haptics, **the 6G-life Research-Hub „Digital transformation and sovereignty of future communication networks” offers a project position as

**Research Associate / Postdoc (M/F/x)**:
starting as soon as possible. The position is initially limited until August 14, 2025. The period of employment is governed by - 2 (2) Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG).

**Requirements**:university and PhD degree in psychology or cognitive neuroscience; experience of independently carrying out and publishing empirical research; experience in acquiring and analysing neuroimaging data (e.g. EEG or FNIRS); good knowledge of experimental design, statistics and data analysis; a strong command of computer programming (R, Python) is highly desirable; an interest in interdisciplinary projects; knowledge of German language is not mandatory.

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