Intern / Master Thesis in: Privacy and Security for Large Language Models(m/w/x)

Description

In this role, you will advance the field of secure AI by developing novel algorithms and LLM-based solutions, while rigorously evaluating your findings using diverse industrial datasets.

Requirements

• •Enrollment in computer science, mathematics, engineering, physics, or related field
• •Knowledge and experience in machine learning and deep learning
• •Programming skills in Python and PyTorch, TensorFlow, or JAX
• •Experience with vision, NLP tasks, and large language models
• •Proactive mindset and willingness to take initiative
• •Fluency in written and spoken English
• •Knowledge of privacy and security aspects of LLMs (plus)
• •Experience with setting up and evaluating AI agents (plus)

Tasks

• •Review prior research on relevant topics
• •Develop novel algorithms for privacy-preserving LLMs
• •Create LLM-based solutions for privacy and security issues
• •Implement methods on public and industrial datasets
• •Empirically evaluate developed methods
• •Document findings and results with rigor

Tools & Technologies

Benefits