PhD Fellowship (LLM Architecture Optimization)

Overview

PhD fellow developing new approaches to improve foundational model architecture and applications.

Ideal candidate should have a Master's degree in Computer Science or Mathematics and a solid understanding of DL/ML techniques.

Locations

• Germany, Hessen, Darmstadt
• Germany, Baden-Württemberg, Heidelberg

Requirements

• Master's degree required
• Solid understanding of DL/ML techniques
• Experience with Python and deep-learning frameworks

Responsibilities

• Research and develop novel approaches for foundational models
• Analyze and benchmark state-of-the-art approaches
• Collaborate with scientists and engineers
• Publish work on machine learning venues

Benefits

• 30 days of paid vacation
• Public transport subsidy
• Fitness and wellness offerings
• Mental health platform
• Flexible working hours
• Hybrid working model