About the Role
The Paid Internship Program at Krishna Research Foundation (KRF) is designed for meritorious students selected through a multi-round evaluation process. Interns will participate in data-driven and simulation-oriented research projects under professional mentorship, gaining advanced experience in research documentation and project execution.
Responsibilities
- Contribute to project development using Python, MATLAB, NS2/NS3, SPSS, or Excel.
- Conduct data analysis, research documentation, and technical writing.
- Support preparation of manuscripts, presentations, and project reports.
- Participate in mentor review sessions and continuous skill-development workshops.
Qualifications
- Bachelor’s or Master’s students in Engineering, Computer Science, Data Science, Cybersecurity, Artificial Intelligence & Machine Learning (AI & ML), or related fields.
- Familiarity with Python, MATLAB, NS2/NS3, Excel, or SPSS is preferred.
- Demonstrated interest in academic writing, simulation, or data analytics.
Mode and Duration
- Mode: Offline
- Duration: 3 to 6 months
Stipend
- Based on performance and evaluation results.
Perks and Benefits
- Work on active institutional and project-based research assignments.
- Receive mentorship and skill certification from senior research professionals.
- Certificate of Completion and Recommendation upon successful completion.
- Top performers may be considered for full-time research positions at KRF.
General Guidelines for All Interns
- Uphold discipline, confidentiality, and research ethics at all times.
- Project deliverables must meet assigned deadlines and quality standards.
- Any form of academic dishonesty may lead to disqualification.
Selection Process
The Paid Internship Program follows a comprehensive three-stage evaluation process to ensure the selection of high-performing and research-driven candidates.
- Preliminary Screening: Review of application, résumé, and area of specialization.
- Technical / Research Aptitude Test: Assessment of analytical and problem-solving abilities.
- Final Interview: Evaluation by a panel to assess domain knowledge, project understanding, and motivation.
Candidates demonstrating exceptional performance across all stages will be offered the Paid Internship with stipend benefits.
