Stellenticket Technische Universität Dresden

The Big Data Analytics for Earth Observation group (https://rsim.berlin) at the Berlin Institute for the Foundations of Learning and Data (BIFOLD - https://bifold.berlin) seeks to employ a postdoctoral researcher to work on an ERC-funded project in the field of AI Agents for Earth observation. Over the past few years, foundation models have fundamentally transformed the landscape of Earth observation, enabling effective and efficient large-scale EO data understanding. Building upon these advances, AI Agents powered by multimodal foundation models are rapidly emerging as a central paradigm for decision-making in Earth observation. The selected candidate will conduct research in generative, multimodal, and agentic AI for Earth observation. In addition, they will develop and test a vision-language agent designed to facilitate a seamless interaction with the vast Earth observation data of the satellite data archives. Using natural language or images, the agent will provide answers to specific questions on environmental and climate issues. Besides conducting research and development, the selected candidate will have duties on the coordination and management of this ERC-funded research project.

• Successfully completed university degree (Master, Diplom or equivalent) and PhD degree in computer science, artificial intelligence, machine learning, or a related field.
• Strong background in one or more of the following areas: AI agents, large language models, vision-language models, multimodal learning, and generative AI. Successful applicants will be strong technically as well as have an inclination towards real-world problems.
• Scientific experience as demonstrated via relevant scientific publications and solid knowledge in theoretical and applied/practical computer science.
• Excellent programming skills (e.g., python) with experience using generative AI libraries.
• Good language skills in German and/or English are required; willingness to acquire all missing language skills
• Experience in open-source development desirable.
• Experience in project management desirable.

Please send your written application, quoting the reference number and including the usual documents, by email to work@rsim.tu-berlin.de.

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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.