PhD Student Recruitment: AI/ML, Data Science, and Simulation
Computer Science and Information PhD Program at Emory University
Join the AI and Simulation Lab at Emory University! We are seeking passionate and driven PhD students to contribute to cutting-edge research in Artificial Intelligence (AI), Machine Learning (ML), Data Science, and Modeling & Simulation.
Research Focus Areas
Our lab is at the forefront of innovation, leveraging cutting-edge computational techniques to address complex challenges across domains such as healthcare, public health, urban systems, transportation, human behavior, environmental science, and national security.
Our current research themes include:
- Foundation Models & Multimodal Learning: Exploring large-scale models (e.g., LLMs, vision-language models) for domain-specific applications.
- Agentic AI & Generative Agents: : Designing autonomous agents capable of long-term planning, memory, and adaptive behavior in simulated and real-world environments.
- AI for Science & Health: Integrating AI with simulation and domain knowledge to accelerate discovery in biomedical research, epidemiology, and environmental modeling.
- Digital Twins & Synthetic Data: Building high-fidelity simulations and synthetic datasets for training and testing AI systems.
- Scalable Data Science & Edge AI: Designing efficient algorithms for real-time analytics on distributed and edge computing platforms.
- Human-AI Collaboration: Enhancing decision-making through interactive AI systems and human-in-the-loop simulations.
Candidate Profile
We are seeking applicants who demonstrate strong technical capabilities, intellectual curiosity, and a passion for impactful research. Ideal candidates will possess the following:
- Academic Background: A solid foundation in Computer Science, Mathematics, Statistics, or closely related disciplines.
- Technical Skills:
- Programming: Python, Julia, Rust, C++, Java
- ML Frameworks: PyTorch, TensorFlow, JAX
- Data Tools: Apache Spark, Apache Airflow, Dask, Ray, Pandas, SQL
- Simulation: AnyLogic, Gazebo, Unity ML-Agents, Isaac Sim, Isaac Lab, MuJoCo, SUMO, CARLA
- Research Motivation: A deep interest in applying AI, ML, and simulation to address real-world challenges across diverse domains.
- Collaboration & Communication: Strong interpersonal skills and the ability to work effectively within interdisciplinary teams, as well as clearly communicate complex technical concepts.
- Innovation & Curiosity: A proactive mindset, eagerness to explore emerging technologies, and a drive to contribute original ideas to the field.
Why Join Us?
- Interdisciplinary Collaboration with experts across domains.
- Advanced Infrastructure: HPC clusters, cloud platforms, and AI development environments.
- Global Impact: Research in healthcare, smart cities, climate resilience, and autonomous systems.
- Professional Growth: Publish in top-tier venues, attend conferences, and engage with industry and government partners.
Program Details
PhD students will enroll in the Computer Science and Information Program at Emory University, which emphasizes interdisciplinary research, applied AI/ML, and data-driven problem solving. The program prepares students for impactful careers in academia, industry, and national labs.
How to Apply
Visit the PhD Application Webpage for official details. To apply to the AI and Simulation Lab, email the following to joonseok.kim at emory dot edu with the subject line:
Email Subject: PhD Application – AI and Simulation Lab – [Your Full Name]
- Curriculum Vitae (CV): Highlight relevant experiences, publications, awards, and technical skills.
- Statement of Purpose: Describe your research interests, past projects, future goals, and why you want to join our lab.
- Three Recommendation Letters: Three letters from academic or professional references who can speak to your research potential.
- Transcripts (unofficial for application).
- English Proficiency Scores: TOEFL (≥85 iBT, ≥600 PBT), IELTS (≥7), Duolingo, or PTE scores. Waived for degrees earned in English-speaking countries.
- Relevant Publications.
Application Deadline: December 15, 2025
