The AI Job Search Engine
Master Thesis: Interaction-Derived Knowledge Bases for Self-Improving UI Agents(m/w/x)
Description
In this role, you will focus on enabling UI Agents to learn from past interactions by designing a continuously updated knowledge base. Daily activities will involve researching existing methods, developing innovative solutions, and collaborating with a team to validate ideas.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Currently pursuing a Master’s degree in Computer Science or related field
- •Excellent programming skills in Python
- •Proven hands-on experience with Large Language Models (LLMs) and popular LLM frameworks and tooling
- •Profound experience designing or working with agentic AI systems
- •Ability to work independently, think analytically, and structure complex problems
- •Very good English skills (written and spoken)
- •Based in Germany
- •Prior experience with Retrieval-Augmented Generation (RAG) or other memory-augmented LLM architectures
- •Experience with experimental evaluation or applied research in AI / ML
- •First experience with writing or publishing scientific papers
- •German language skills are helpful, but not required
Education
Tasks
- •Conduct a comprehensive literature review
- •Explore and design novel approaches
- •Develop and implement prototypes
- •Define and conduct experiments
- •Present your work in team presentations
- •Collaborate closely with researchers and engineers
Tools & Technologies
Languages
English – Business Fluent
German – Basic
Benefits
Flexible Working
- •Flexible working hours
Informal Culture
- •Close collaboration
- •Valued as a human
- •Team camaraderie
Mentorship & Coaching
- •Supportive mentoring
Startup Environment
- •Fast feedback cycles
- •Freedom to explore ideas
Purpose-Driven Work
- •High and lasting impact
- ExxetaFull-timeInternshipWith HomeofficeBerlin, Karlsruhe, Mannheim
- Institut für Nanotechnologie (INT)
Mitarbeiter:in in der Wissenschaft(m/w/x)
Full-timeTemporary contractWith HomeofficeNot specifiedEggenstein-Leopoldshafen - Institut für Nanotechnologie (INT)
Research Scientist LLM Agents and Semantic Data Processing in Materials Science(m/w/x)
Full-timeWith HomeofficeNot specifiedEggenstein-Leopoldshafen - Fraunhofer-Gesellschaft
Master thesis: Inverse design of nanophotonic through generative deep learning models(m/w/x)
Full-timeWith HomeofficeNot specifiedKarlsruhe - Exxeta
Thesis (Bachelor/Master) DevOps(m/w/x)
Full-timeInternshipWith HomeofficeKarlsruhe, Mannheim, Stuttgart, Essen
Master Thesis: Interaction-Derived Knowledge Bases for Self-Improving UI Agents(m/w/x)
The AI Job Search Engine
Description
In this role, you will focus on enabling UI Agents to learn from past interactions by designing a continuously updated knowledge base. Daily activities will involve researching existing methods, developing innovative solutions, and collaborating with a team to validate ideas.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Currently pursuing a Master’s degree in Computer Science or related field
- •Excellent programming skills in Python
- •Proven hands-on experience with Large Language Models (LLMs) and popular LLM frameworks and tooling
- •Profound experience designing or working with agentic AI systems
- •Ability to work independently, think analytically, and structure complex problems
- •Very good English skills (written and spoken)
- •Based in Germany
- •Prior experience with Retrieval-Augmented Generation (RAG) or other memory-augmented LLM architectures
- •Experience with experimental evaluation or applied research in AI / ML
- •First experience with writing or publishing scientific papers
- •German language skills are helpful, but not required
Education
Tasks
- •Conduct a comprehensive literature review
- •Explore and design novel approaches
- •Develop and implement prototypes
- •Define and conduct experiments
- •Present your work in team presentations
- •Collaborate closely with researchers and engineers
Tools & Technologies
Languages
English – Business Fluent
German – Basic
Benefits
Flexible Working
- •Flexible working hours
Informal Culture
- •Close collaboration
- •Valued as a human
- •Team camaraderie
Mentorship & Coaching
- •Supportive mentoring
Startup Environment
- •Fast feedback cycles
- •Freedom to explore ideas
Purpose-Driven Work
- •High and lasting impact
About the Company
askui GmbH
Industry
IT
Description
The company develops an AI-powered automation engine that helps businesses save resources by automating repetitive manual processes.
- Exxeta
Praktikant GenAI & MCP(m/w/x)
Full-timeInternshipWith HomeofficeBerlin, Karlsruhe, Mannheim - Institut für Nanotechnologie (INT)
Mitarbeiter:in in der Wissenschaft(m/w/x)
Full-timeTemporary contractWith HomeofficeNot specifiedEggenstein-Leopoldshafen - Institut für Nanotechnologie (INT)
Research Scientist LLM Agents and Semantic Data Processing in Materials Science(m/w/x)
Full-timeWith HomeofficeNot specifiedEggenstein-Leopoldshafen - Fraunhofer-Gesellschaft
Master thesis: Inverse design of nanophotonic through generative deep learning models(m/w/x)
Full-timeWith HomeofficeNot specifiedKarlsruhe - Exxeta
Thesis (Bachelor/Master) DevOps(m/w/x)
Full-timeInternshipWith HomeofficeKarlsruhe, Mannheim, Stuttgart, Essen