Student assistant (RSiM, IV-SB-0013-2026D)

Your responsibility

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%)

Your profile

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
  
  
  Closing date: March 12, 2028
  Full job posting: IV-SB-0013-2026D