CosmosIndex is a German SME founded by professors and alumni from Technical University of Munich. It develops innovative signal processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth observation data. Our team aims at tackling societal grand challenges, e.g. Global Urbanization, thus, works on solutions that can scale up for global applications.

The expected tasks of this position will consist of scientific research on the topic of artificial intelligence for spaceborne videos. The main research goal is to develop innovative supervised or self-supervised learning methods for detecting and tracking small targets in spaceborne videos, taken into account the different quality, imaging condition and data modality of spaceborne videos. The capability of the model shall also be demonstrated in a few use cases.

The holder of the position will be responsible for the following tasks:

• Literature research
• Preparing video datasets for the training of machine learning model
• Develop innovative supervised or self-supervised learning methods for small target detection and tracking
• Evaluate the machine learning model on downstream tasks
• Project reporting

Your qualifications:

• completed academic university degree (university diploma / M.Sc.) in computer science, geo-informatics, data science, or comparable subject
• experience in machine learning (ML), artificial intelligence (AI) or related fields
• strong software skills in ML languages such as python
• ability and enthusiasm to learn new technologies quickly
• ability to work highly motivated both independently and in a team
• very good written and spoken English knowledge
• knowledge of ML algorithms for video data is an advantage

What We Offer:

• Hands-on experience with cutting-edge EO and AI technologies in a real-world, impactful context.
• A collaborative and supportive team environment where you’ll gain practical skills and contribute to meaningful projects.
• Opportunities to develop professionally and learn from world leading experts in AI and Earth Observation.
• The opportunity to contribute to projects that help address global challenges like climate change and environmental monitoring.

How to Apply:
If you’re passionate about EO AI algorithms and excited to learn in a startup environment, and eager to contribute to sustainable technologies, we want to hear from you! Please send your CV to hr@cosmos-index.com