Research Intern – AI, Computer Vision & Multimodal Learning

Location: Ernākulam

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
- Flexible schedule
- Publication-oriented
- Limited positions

- 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 Learning
- Sports Analytics
- Athlete Retrieval and Search
- Large-Scale Visual Understanding
- Dataset and Benchmark Creation
- Vision-Language Models
- Image Ranking and Quality Assessment
- Open-Vocabulary Image Search

What We Expect

Candidates should demonstrate:

- Strong curiosity and independent thinking
- Ability to read and understand research papers
- Ability to critically analyze existing methods
- Creativity in identifying new research directions
- Strong problem-solving skills
- Willingness to challenge assumptions and existing approaches

Preferred Skills

- Python
- Machine Learning
- Deep Learning
- Py Torch
- Computer Vision
- Scientific Writing
- Research Methodology

Prior research experience is beneficial but not required.

Deliverables

Each intern will be expected to:

- Produce detailed literature reviews
- Identify promising research opportunities
- Submit multiple research proposals
- Present findings and technical evaluations
- Develop experimental validation plans
- Contribute to research reports and potential publications

Selection Process

Applicants will be asked to complete a short research assignment.

The assignment will evaluate:

- Research thinking
- Ability to identify gaps in existing work
- Literature review skills
- Novelty and practicality of proposed ideas
- Technical depth

What You Will Gain

- Hands-on experience with real-world large-scale datasets
- Exposure to cutting-edge AI research
- Training in research methodology
- Experience in developing research proposals
- Opportunities to contribute to publications
- Strong preparation for MS, PhD, and research-oriented careers

Important Note

This is an unpaid research internship intended for students and engineers who are genuinely interested in AI research, publications, and advanced problem-solving. Please apply only if you are comfortable with an unpaid position and are motivated primarily by research experience and learning.