Research Assistant (RSiM, E13, IV-489/24)
The Remote Sensing Image Analysis group in the context of BIFOLD conducts basic and applied research in data management and machine learning for Earth observation (EO). Currently, we are seeking to hire a Research Associate in field of the development of image search and retrieval methods and systems for querying large-scale satellite image archives. Developed methods will aim at enabling accurate and scalable image indexing and retrieval by efficiently characterizing the complex spectral and spatial content of satellite images. Teaching duties are performed.
Requirements
- Successfully completed university degree (Master, Diplom or equivalent) in computer science, computer engineering or a related field
- Experience in machine learning, distributed systems and database technologies
- Solid programming skills
- Familiar with at least one deep learning framework (tensorflow, caffe, pytorch)
- The ability to teach in German and/or in English is required; willingness to acquire the respective missing language skills.
Employer: TU Berlin / BIFOLD
Salary grade: TV-L E13 Berliner Hochschulen
Starting date: at the earliest possible / for 3 years
Closing date: September 20, 2024
Full job posting: IV-489/24