Student assistant (40-80 hours per month)

The Remote Sensing Image Analysis group (https://rsim.berlin) at the Berlin Institute for the Foundations of Learning and Data (BIFOLD; https://bifold.berlin) is looking for enthusiastic students interested in the development of Large Language Models (LLMs) and Vision-Language Models (VLMs)-based AI agents for Earth observation. In detail, we are looking for applicants who can contribute to the ongoing research work on the development and improvement of AI agents, aiming to make them more reliable, efficient, and collaborative in real applications related to Earth observation (i.e., forest monitoring, crops mapping, etc.).

• Supporting the system design and implementation of agent pipelines (50%).
• Supporting the development of interactive demonstrations and benchmarks (50%)

Mandatory criteria:

• Good programming skills in Python
• Good knowledge of Multimodal Generative AI models
• Experience in the field of AI agents and LLMs
• Good written and spoken English skills

Optional criteria:

• Experience with frameworks for creating LLM agents
• Experience with frontend and backend development

What we provide:

• Close cooperation and support
• Access to computational resources
• Opportunity to contribute to scientific publications

Party responsible for specialist area / point of contact for job posting: Prof. Dr. Begüm Demir - work@rsim.tu-berlin.de
Period of employment: immediately for 2 years
Apply to: work@rsim.tu-berlin.de

Please submit your written application including cover letter, your CV, certificate of enrollment, and where applicable, current transcript of records, with the reference number to the place of employment indicated above.
In the interest of promoting equality opportunities for men and women, applications from women with suitable qualifications are particularly encouraged.