• Setting up and providing technical support for an EEG laboratory, including equipment procurement, hardware installation, calibration and maintenance.
• Assisting in the planning, execution, and analysis of EEG and MRI experiments in the field of neuroscience and cognitive science.
• Programming of experimental paradigms and analysis pipelines in Python.
• Taking on organisational tasks such as coordinating experiments, managing resources and training laboratory staff.
• Technical support for the integration of AI approaches into neurocognitive research projects.
• Planning and coordination of teaching activities.

• Successfully completed university degree (Master, Diplo, or equivalent) in electrical engineering, medical technology, computer science, neuroscience, or a comparable field
• Extensive experience working with EEG and MRI technologies in a neurocognitive research context
• Very good programming skills in Python, including experience with relevant libraries (e.g., NumPy, SciPy, MNE, TensorFlow, or PyTorch).
• Knowledge of signal processing, machine learning, or artificial intelligence (AI)
• Good written and spoken German and/or English skills or willingness to learn the missing language
• Organizational skills and enjoyment of working in a dynamic, interdisciplinary research team are an advantage
• Experience in writing grant applications and participating in interdisciplinary research projects is an advantage
• Experience in research data infrastructures and research data management is an advantage
• Experience in coordinating and planning courses is an advantage

Please send your application, quoting the reference number , with the usual documents by email only to Prof. Dr. Fatma Deniz at deniz@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.