About the Project
AI-powered tool automates computing platform configuration by analyzing research papers and integrating code from repositories like GitHub, reducing manual effort and optimizing resource allocation. It streamlines deployment via APIs or auto-generated scripts, ensuring scalability and letting researchers focus on their work. (https://constructorlabs.org/projects/code/)
Required Qualifications
- Currently enrolled in a BSc/MSc in Computer Science, Data Science, or AI/ML.
- Proficiency in Python, Git, and containerization tools (Docker, Conda).
- Familiarity with LLMs, code analysis, or reproducibility frameworks.
- Interest in AI-assisted research and automation tools.
- Good English communication and documentation skills.
Application Details: applications are reviewed on rolling basis
Please submit:
- CV
- Short motivation letter (max. 1 page) explaining your interest and relevant skills
- Transcript of records (GPA obligatory)
Skills Required
- Currently enrolled in a BSc/MSc in Computer Science, Data Science, or AI/ML at Constructor University
- Proficiency in Python
- Experience with Git
- Experience with containerization tools (Docker, Conda)
- Familiarity with LLMs, code analysis, or reproducibility frameworks
- Interest in AI-assisted research and automation tools
- Good English communication and documentation skills
What We Do
Constructor Knowledge Labs (CKL) is a research institute based in Bremen, Germany, dedicated to advancing applied research in Computer Science, Software Engineering, Machine Learning, and Artificial Intelligence across interdisciplinary domains.
