Student Assistant focusing on applying AI and Machine Learning techniques for research in an innovative team at Fraunhofer society.
Responsibilities
Collaborate in research and testing of state-of-the-art machine learning algorithms
Analyze, preprocess, and visualize various data types (text, images, etc.)
Review current scientific literature and datasets
Assist in creating and managing datasets
Plan, execute, and document experiments
Contribute to the development of AI solutions
Requirements
Enthusiasm for interdisciplinary teamwork and advancing innovative approaches in remote sensing, computer vision, machine learning, and neuroscience
Enrolled in a Master’s program in Computer Science, Mathematics, Statistics, Computational Linguistics, Physics, Electrical Engineering, Media Informatics, or a comparable degree program with strong academic performance
Research interest in one or more of the following areas: Reinforcement Learning for LLMs and AI agents, Multimodal Learning, Self-supervised Learning, and Computer Vision
Strong proficiency with programming languages and tools used in data science and AI, particularly Python, and familiarity with NumPy, OpenCV, Pandas, SQL, Docker, Git, etc.
PyTorch experience: hands-on experience training machine learning models on one or more GPUs; ability to work with existing codebases and to start training runs
Broad programming background, including practical AI methods and related areas
Excellent written and spoken English
Benefits
Attractive compensation
Modernly equipped workplace in a central location
Pleasant and collegial working atmosphere in an international team
Opportunity to write a Master’s thesis
Flexible working hours
Option to work from home (up to 35% of working time)
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