Job listing: GreenDIA B-Plan-Project Student Assistant

Location: Munich, Germany (Hybrid/Remote options available)
Hours: 15-20 hours/week
Start Date: As soon as possible

Are you a highly motivated student with a passion for AI, data processing, and cloud technologies? Do you want to gain hands-on experience in a dynamic research environment, contributing to cutting-edge projects in document intelligence? If so, we have an exciting opportunity for you!

As a Working Student Assistant, you will play a crucial role in our team, supporting the development and execution of pipelines for automated document understanding. You will work with real-world data, leveraging advanced tools and techniques to extract valuable insights from complex documents.

What We're Looking For: Enrolled student in Computer Science, Data Science, AI, or a related field.Strong programming skills in Python.Familiarity with cloud services, particularly Azure, is a significant plus.Experience with or a strong interest in Natural Language Processing (NLP), Optical Character Recognition (OCR), and Large Language Models (LLMs).Understanding of data structures (e.g., DataFrames, JSON).Ability to work independently and as part of a team.Excellent problem-solving skills and attention to detail.Proficiency in English; German language skills are a plus.

Tools & Technologies You Will Use: PythonAzure Blob StorageeasyocrLarge Language Models (e.g., GPT-4o)PydanticGit (for version control)Slack (for communication)

What We Offer: The opportunity to work on challenging and impactful AI projects.Hands-on experience with cutting-edge technologies and cloud infrastructure.A supportive and collaborative team environment.Flexible working hours to accommodate your studies.

Contact: felicitas.sommer@tum.de or A.Dimmelmeier@stat.uni-muenchen.de

Please use the subject "GreenDIA B-Plan-Project Student Assistant" for your application e-mail, containing CV and short motivation.