We are looking for perspective students to join our research team .
Robotics
What You’ll Do:
- Develop, test, and deploy core robotics software, including manipulation(robot arm), navigation, and perception.
- Work with a team of researchers in and outside of JHU to implement AI-driven robotics solutions. We have collaborators across the nation that you might be in contact with.
- Optimize software for performance on real hardware.
- Contribute to all phases of development, from design to deployment.
Qualifications:
- Experience with Python and C++ for robotics software development.
- Proficiency in Linux, Docker, and Git.
- Knowledge of robot kinematics, motion planning
- A BS with robotics experience
RAG-LLM
What You’ll Do:
- Collaborate with researchers at JHU and nationwide to implement LLM-driven retrieval-augmented generation (RAG) solutions.
- Build and optimize multi-modal databases for efficient retrieval and augmentation of knowledge. Enhance retrieval strategies, vector indexing, and hybrid search to improve system performance.
- Contribute to all phases of development, from architecture design to deployment.
Qualifications:
- Experience with Python and UI development.
- Proficiency in Linux, Docker, and Git for scalable development and deployment.
- Strong knowledge of LangChain, Knowledge Graphs, and vector databases.
- A BS with hands-on experience in AI-driven applications.
LLM-based Game Agent
What You’ll Do:
- Develop, test, and deploy LLM-powered game agents, focusing on decision-making, strategy, and interactive behaviors.
- Work with a team of researchers and developers to implement AI-driven game intelligence solutions.
- Optimize LLM inference, prompt engineering, and memory management for real-time gameplay.
- Contribute to all phases of development, from design to deployment, ensuring robust and scalable AI agents. Collaborate with game designers to integrate autonomous agents into existing game engines.
Qualifications:
- Experience with Python and C++ for AI and game development.
- Knowledge of LLM fine-tuning, reinforcement learning, and multi-agent systems. Familiarity with game engines and AI frameworks
- Understanding of NLP, and planning algorithms.
- A BS in Computer Science, AI, or related field with experience in game AI or LLMs.
You would need to be registered in at least 6 credits for student employment or have previously been on the JHU payroll.
Please include the tag “EEHPC-JOB” in the subject line to ensure your email passes through our filters. Additionally, kindly attach your resume and review our recent work before emailing. Please Contact Xiaomin Lin ([email protected]).