• Testing new deep learning architectures and orchestration and documentation experiments
• Analysis and preprocessing of different data types (time series, graphs, images, matrices)
• Processing and visualization of huge amounts of data
• Preparation of presentations and applying science in exciting projects
• Review of relevant literature and data
• Testing software and frameworks
• Writing academic articles or reports

• Study of mathematics, computer science, geoinformatics, physics, electrical engineering, or similar with good to very good grades
• Strong programming skills in Python with knowledge of frameworks such as NumPy, Pytorch, Pandas etc
• Experience and confidence in using Linux (Ubuntu) via the terminal
• Advanced knowledge in the area of Machine Learning
• Excitement about clean and tidy code
• Affinity for technologies
• Conscientiousness in implementing, testing, and documenting algorithms
• Curiosity about a deeper understanding of deep Learning architectures
• Experience in academic writing is an advantage

• Fascinating challenges in a scientific and entrepreneurial setting
• Attractive salary
• Modern and excellently equipped workspace in a central location
• Great and cooperative working atmosphere in an international team
• Opportunities to write a master's thesis (depending on topic suitability)
• Flexible working hours
• Opportunities to work from home

The position is initially limited to 1 year. An extension is explicitly desired.