We are looking for highly motivated Research Interns who are passionate about solving open research problems in Artificial Intelligence, Computer Vision, Multimodal Learning, Foundation Models, Sports Analytics, and Large-Scale Visual Understanding.
Unlike traditional internships focused on implementation alone, this internship is centered around research exploration, idea generation, literature review, experimentation, and the development of novel research proposals.
Interns will have access to a unique large-scale dataset consisting of over 1 million real-world marathon and sports photography images, providing opportunities to investigate research problems that have not been extensively explored in academia.
The ultimate goal is to identify high-impact research directions, validate them through experiments, and potentially develop publications for leading conferences and journals.
Internship Details
- Research Internship
- Remote
- Duration: 3 to 6 months
- Unpaid
- Versatile schedule
- Publication-oriented
- Limited positions
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What You Will Do
Research Exploration
- Survey state-of-the-art literature in Computer Vision and AI
- Identify gaps in existing research
- Analyze emerging trends and open problems
- Study recent papers from top conferences
Research Ideation
- Propose novel research ideas
- Formulate research questions and hypotheses
- Design experimental methodologies
- Evaluate feasibility and novelty of ideas
Research Proposal Development
- Write structured research proposals
- Define datasets, benchmarks, and evaluation strategies
- Conduct baseline experiments
- Perform literature comparisons
- Prepare technical reports and presentations
Experimental Research
- Reproduce existing research papers
- Design and execute experiments
- Analyze results and failure cases
- Develop improved approaches
Potential Research Areas
- Self-Supervised Learning
- Vision Foundation Models
- Multimodal Learning
- Image Retrieval
- Active Learning
- Representation Learnin