Student Researcher (PhD) – Agentic AI & R&D

Agentic AI Browser

Student Researcher

autonomous, adaptive, and grounded in scientific inquiry

Responsibilities

• Collaborate on research projects in

  LLM orchestration

  ,

  multimodal reasoning

  ,

  contextual intelligence

  , or

  applied AI systems

  .
• Design and execute small-scale experiments, run evaluations, and help publish or document findings.
• Partner with engineers and product teams to translate insights into prototype features and proof-of-concept systems.
• Contribute to internal research reviews, technical documentation, and demo sessions.
• Provide day-to-day research oversight and advisory input to the R&D team.

Minimum Qualifications

• Currently enrolled in a

  PhD program

  in

  Computer Science

  ,

  Artificial Intelligence

  ,

  Machine Learning

  ,

  Linguistics

  ,

  Statistics

  ,

  Applied Mathematics

  , or a related technical field.
• Research or project experience in one or more of the following:
• Natural Language Processing / Understanding
• Human–AI Interaction
• Machine Learning / Deep Learning
• Reinforcement Learning or Agentic Systems
• Data Science or Knowledge Representation
• Proficiency in at least one general-purpose programming language (e.g.,

  Python, JavaScript, or C++

  ).

Preferred Qualifications

• Prior experience contributing to academic or applied research (publications, lab work, or R&D internships).
• Interest in

  agentic AI frameworks

  ,

  reasoning pipelines

  , or

  autonomous task execution

  .
• Familiarity with

  LLM architectures

  ,

  prompt engineering

  , and

  multi-agent coordination

  .
• Ability to work in a fast-paced, exploratory, and cross-functional environment.