Research assistant - 0.75 working time

The assignment includes the work in the project "Sonic Shift. Effects of urban planning measures on the acoustic environment". In the project, the Department of Engineering Acoustics and Psychoacoustics cooperates with the Institute for Urban Public Health, Universitätsklinikum Essen. The main research task involves the longitudinal analysis of spatially and temporally high-resolution noise recordings to calculate psychoacoustic indices and other acoustic metrics for measurement sites with urban planning and/or traffic changes.

Key responsibilities include:

• Calculation of psychoacoustic indicators for large datasets
• Development and implementation of new acoustic indicators
• Conduction of listening experiments in the laboratory
• Statistical analyses
• Supervision of students working on theses on this topic

• Successfully completed academic university degree (Master, Diplom, or equivalent) in an engineering field or an area closely related to engineering acoustics
• Very good knowledge of psychoacoustics
• Good understanding of acoustics and signal processing
• Good knowledge of soundscapes
• Proficiency in a programming language (Matlab, Python, or similar)
• Proficiency in German and/or English; willingness to acquire the missing language skills
• Experience in planning, conducting, and analyzing scientific experiments related to human auditory perception is desirable
• Knowledge of statistical methods, particularly multivariate statistics is a plus

• An inclusive and appreciative working atmosphere within a committed and diverse team
• Numerous opportunities for professional development
• Room for your ideas and mentoring by experienced scientists
• Flexible working models, including the possibility of partial remote work

Please submit your application, quoting the reference number, including the following documents:

• Cover letter describing your motivation, suitability for the position, and professional interests; in the cover letter, please also briefly explain the extent to which you have already gained experience in technical acoustics, machine learning, and signal processing (e.g., through courses, theses, research projects, or professional activities)
• Curriculum vitae with relevant professional experience, specialist knowledge, and, if applicable, a list of publications
• Copies of certificates and transcripts
  (combined into a single PDF document, max. 5 MB) send your application by email to Prof. Dr.-Ing. Ennes Sarradj ([ta7@akustik.tu-berlin.de).

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/.

To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities. Applications from people of all nationalities and with a migration background are very welcome.