Postdoc in LLM Agents for Research Automation
Core
Develop LLM agents to support deep learning research, model development, and code generation, assisting researchers in the full lifecycle from hypothesis formulation to documentation.
Role type
Postdoc in LLM Agents for Research Automation
Builds
Agentic AI systems for accelerating research and innovation in deep learning and software engineering
Domain
Artificial Intelligence / Machine Learning / Software Engineering
Deliverable
production ML models | research
Required skills
Deep learning, machine learning, AI-assisted software development, automated machine learning, Python programming, deep learning frameworks (PyTorch, TensorFlow, JAX)
Preferred skills
Large language models, foundation models, LLM agents, tool-using LLMs, retrieval-augmented generation, multi-agent systems, code generation, program synthesis, automated debugging, software testing, neural architecture search, meta-learning, data-centric AI
Technologies
PyTorch, TensorFlow, JAX
Responsibilities
Develop LLM-agent methods and prototypes for deep learning workflows and software development; Evaluate methods in controlled experimental environments and with industrial partners; Publish high-quality scientific papers in AI and software engineering venues; Engage in teaching and thesis supervision
Seniority
Postdoctoral researcher