Join Our Research Team
Thank you for your interest in joining our research team! Please follow the guidelines below to ensure your application receives proper consideration.
Research Focus & Opportunities
Our lab is at the forefront of developing responsible AI systems that make responsible, reliable, and ethical decisions. We tackle cutting-edge problems with real-world impact.
Current Research Areas
- Responsible and Trustworthy AI: Developing AI systems that are fair, interpretable, and aligned with human values.
- Causal Inference and Machine Learning: Understanding cause-and-effect relationships in complex data systems.
- Large Language Models: Advancing the capabilities and safety of next-generation AI models.
- AI Safety and Alignment: Building AI systems that behave as intended and remain controllable.
- AI for Natural and Social Sciences: Applying AI techniques to advance research in scientific domains.
Opportunities for Undergraduate Students
Research Opportunities
Undergraduate students can engage in cutting-edge research through:
- Directed Research Projects: Collaborate with graduate students and faculty on active research.
- Summer Research Programs: Full-time summer research with potential for conference publications.
- Honor's Thesis Projects: Year-long independent research projects leading to thesis defense.
- Industry Collaborations: Work on real-world problems with industry partners.
Benefits
- Hands-on experience with state-of-the-art AI/ML techniques.
- Opportunity to co-author research papers and present at top AI conferences.
- Strong preparation for graduate school or industry careers.
- Mentorship and career guidance.
- Skills in Python, deep learning frameworks, and research methodologies.
Requirements
- Strong academic performance (GPA 3.5+ preferred).
- Coursework in programming, machine learning, or related fields.
- Enthusiasm for research and learning.
- Commitment to dedicating at least 10 hours per week to research.
Application Process
Send an email to yongkaw@clemson.edu with:
- Your resume and unofficial transcript.
- A brief description of your research interests and career goals.
- Available time commitment and preferred start date.
Opportunities for Graduate Students
Available Positions
We offer Funded Research Assistantship (RA) positions for motivated graduate students, including:
- Tuition waiver.
- Competitive monthly stipend.
- Health insurance coverage.
- Conference travel funding.
- Access to high-performance computing resources.
Research Environment
Our lab provides a collaborative and supportive environment where students:
- Work on high-impact research with real-world applications.
- Collaborate with leading researchers in AI/ML.
- Present findings at top-tier conferences (NeurIPS, ICML, ICLR, AAAI, etc.).
- Engage with industry partners and government agencies.
- Develop both technical expertise and professional skills.
Qualifications
Technical Requirements:
- Strong foundation in machine learning and deep learning.
- Proficient programming skills in Python and deep learning frameworks (PyTorch, TensorFlow).
- Solid mathematical background (linear algebra, statistics, optimization).
Research Skills:
- Ability to read and understand research papers.
- Strong analytical and problem-solving abilities.
- Experience with experimental design and evaluation.
Soft Skills:
- Excellent written and verbal communication skills.
- Collaborative mindset and teamwork abilities.
- Intellectual curiosity and openness to feedback.
Application Process
Step 1: Initial Contact
Before submitting a formal application, please send the following materials (combined in a single PDF) to yongkaw@clemson.edu:
Required Materials:
- Detailed resume/CV.
- Undergraduate and/or graduate transcripts (unofficial acceptable).
Optional but Recommended:
- GRE/TOEFL scores (if available).
- Publications, preprints, or technical reports.
- GitHub/GitLab portfolio showcasing coding projects.
- Relevant coursework or project descriptions.
Step 2: Formal Application Submission
If we determine there's a good fit, you'll be encouraged to submit a formal application:
- Apply to the Computer Engineering program at Main Clemson Campus.
- Select Intelligent Systems as your specialty area.
- Mention my name (Dr. Yongkai Wu) in your statement of purpose.
- Email me after submitting your formal application.
Ph.D. Program Information
About Clemson University & ECE Department
University Excellence
Clemson University, founded in 1889, is consistently ranked among the top public universities in the nation:
- Ranked 27th best national public university by U.S. News & World Report (2019).
- Classified as "R1: Doctoral Universities - Very high research activity" by Carnegie Classification.
- Beautiful campus in Clemson, South Carolina with strong school spirit and community.
ECE Department Strengths
The Holcombe Department of Electrical and Computer Engineering has a rich history since 1933:
- Over 50 distinguished faculty members.
- Multiple IEEE Fellows and endowed chairs.
- Strong industry partnerships and research collaborations.
- State-of-the-art facilities and computing resources.
Learn More:
Ready to make an impact through responsible AI research? We'd love to hear from you!