Website:
thebeancode.com
Job details:
Do not apply here on LinkedIn — applications will be accepted only via email.
Send your Resume + Portfolio (if any) to: connect@thebeancode.com
NOTE:
- This is a research-focused, UNPAID Remote internship for 4 months. Only serious candidates apply.
- Interns must be committed to delivering results and meeting publication goals.
- Conference publication charges, if any, will be borne by the candidate or team members.
About the Project:
We are inviting applications for a Research Internship centered around advanced computer vision and AI-driven image analysis. The project involves conducting in-depth research and developing models to identify and analyze digitally altered visual content. A key outcome of this internship is the publication of one SCIE-indexed journal paper or a Scopus-indexed conference paper, with full guidance and support throughout the process.
Interns will be working closely with the founders, gaining direct mentorship and exposure to real-world research workflows.
Key Responsibilities:
- Conduct a comprehensive review of state-of-the-art techniques in visual content analysis
- Design and implement models using machine learning/deep learning approaches
- Work with datasets involving complex image transformations and manipulations
- Document research findings and model performance in a publishable format
- Contribute to the publication of one SCIE-indexed journal paper or a Scopus-indexed conference paper
Requirements:
- Strong interest in AI, computer vision, and research
- Good programming skills in Python; familiarity with TensorFlow or PyTorch
- Basic understanding of image processing and ML concepts
- Ability to read and analyze academic research papers
- Self-driven with commitment to producing high-quality research work
Eligibility:
- Open to students (UG/PG), recent graduates, or early-career researchers in CS, AI/ML, or related fields
- Prior research or publication experience is a plus, but not mandatory
What You’ll Gain:
- Hands-on experience with real-world research
- Opportunity to co-author and publish research papers
- Certificate of Completion
- Letter of Recommendation (performance based)
Click on Apply to know more.