Generative AI and Agentic Optimization- MSc and PHD-Student Position- Research Lab

Introduction

At IBM work is more than a job - it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, let’s talk.

Your Role And Responsibilities

Are you passionate about advancing the frontiers of generative AI, agentic systems, and their real-world applications?

As a Student Researcher, you will join a dynamic team of leading AI researchers working on cutting-edge challenges in agentic architectures, reasoning, and enterprise-scale automation.

Your Work Will Span a Range Of Topics, Including

• Agentic systems and reasoning
• Utilization and optimization of external tools
• Evaluation of LLMs and generative AI applications
  
  

• Context engineering
• User simulation
• Test-time scaling
• Memory and tool optimization
  
  

• Enhance agent reliability
• Reduce stochastic behavior
• Ensure deterministic, verifiable workflows
  
  

• PhD or MSc student in Machine Learning (preferably in NLP)
• Extensive, up-to-date knowledge of the LLM space.
• Hands-on experience writing Python code and using LLM libraries (e.g., Huggingface Transformers, PyTorch). Experience with agentic frameworks (e.g., LangGraph, CrewAI) is advantageous but not required.
• Strong team player with the ability to work independently.
• Innovative thinker, creative, and self-driven.
• Fluent in English.