Research Assistant - salary grade E13 TV-L Berliner Hochschulen

Independent and responsible research in the field of Machine Learning and Computer Vision.

Processing of image and sensor data streams may involve the application of multi-task deep learning methods. Alternative approaches for data analysis, data fusion, and appropriate visualizations are to be autonomously designed and evaluated. Key factors to be considered in the conception and evaluation of suitable solutions include the hardware constraints and real-time requirements of the clinical environment.

• Successfully completed university degree (Master, Diplom or equivalent) in computer science, industrial engineering, or business informatics.
• Experience in image and sensor data processing and machine learning required, preferably in the area of neural network architectures for geometric and high-dimensional data
• Excellent programming skills in Python, NumPy/SciPy, PyTorch/TensorFlow, and C++ are essential
• Good knowledge of German and/or English required; willingness to acquire the respective missing language skills

Desirable:

• Experience in the analysis of medical image data is of advantage.

Please send your written application by e-mail only, quoting the reference number, together with the usual application documents to Technische Universität Berlin - Die Präsidentin - Fakultät IV, Institut für Technische Informatik und Mikroelektronik / FG Datenbanksysteme und Informationsmanagement, EN 7, Einsteinufer 17, 10587 Berlin (one PDF file, max. 5 MB): jobs@dima.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 guarantee 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/ or quick access 214041.

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.