Graduate Research Fellow / Post-Graduate Research Fellow

Organization:

HEPro Research & Fellowship Division

Employment Type:

Industry-Integrated Fellowship

Mode:

Remote / Hybrid

Program Duration:

Graduate Research Fellowship: 200 Days (6–8 Months)

Post-Graduate Research Fellowship: 365 Days (8-Month Fellowship + 4-Month Research Associateship)

Organization Overview

HEPro (Higher Education Pro) is an experiential learning and research platform operated by Great Leaders Institute Private Limited. The organization is dedicated to bridging the gap between academic education and industry requirements through structured fellowships, applied research programs, project-based learning, and AI-powered skill development initiatives.

Aligned with the objectives of the National Education Policy (NEP) 2020 and emerging industry needs, HEPro enables learners to gain practical experience through real-world projects, guided mentorship, research opportunities, and competency-based learning pathways.

HEPro offers industry-integrated programs across high-growth domains including Artificial Intelligence, Data Science, Business Analytics, Cloud Computing, Cybersecurity, Bioinformatics, Healthcare AI, FinTech, HR Analytics, Product Development, Branding & Public Relations, and related interdisciplinary fields.

The fellowship ecosystem is designed to help learners build professional portfolios, strengthen research capabilities, develop industry-relevant competencies, and enhance career readiness through experiential learning.

Position Overview

The Graduate Research Fellow / Post-Graduate Research Fellow will participate in a structured experiential learning and research program focused on solving real-world industry challenges through project execution, applied research, and domain-specific skill development.

Fellows will work under the guidance of industry mentors and subject matter experts while gaining exposure to contemporary tools, technologies, business practices, and research methodologies relevant to their chosen specialization.

The program combines structured learning, project implementation, research documentation, mentorship, portfolio development, and professional skill enhancement to create industry-ready professionals capable of contributing to modern organizations and innovation ecosystems.

Available Fellowship Tracks

Applicants may choose a specialization based on their academic background and career interests:

· Artificial Intelligence & Machine Learning

· Data Science & Analytics

· Business Analytics

· Cloud Engineering

· DevOps Engineering

· Cybersecurity

· Bioinformatics

· Healthcare AI

· FinTech AI

· HRBP & HR Analytics

· No-Code Product Development

· Branding & Public Relations

Key Responsibilities

1. Research & Project Execution

· Participate in industry-oriented projects and applied research initiatives.

· Analyze business, technical, or research problems and propose practical solutions.

· Execute assigned project tasks under mentor supervision.

· Develop prototypes, dashboards, reports, analytical models, workflows, or research outputs depending on the selected domain.

· Conduct literature reviews, data collection, validation, and research documentation activities.

· Contribute to project deliverables, presentations, and final project submissions.

2. Learning & Technical Skill Development

· Complete structured learning modules and competency assessments.

· Develop proficiency in domain-specific tools, technologies, frameworks, and methodologies.

· Apply theoretical concepts to practical industry use cases.

· Utilize AI-powered learning and productivity tools to support project execution.

· Participate in workshops, mentoring sessions, peer reviews, and knowledge-sharing activities.

· Continuously improve technical and analytical capabilities through guided learning pathways.

3. Research Documentation & Knowledge Management

· Maintain project records, research journals, and progress reports.

· Prepare professional research reports, case studies, white papers, technical documentation, or project summaries.

· Document methodologies, findings, recommendations, and project outcomes.

· Present project results to mentors, evaluators, and stakeholder groups.

4. Professional Development & Collaboration

· Collaborate with mentors, researchers, and fellow participants across interdisciplinary teams.

· Participate in project reviews, innovation challenges, hackathons, and collaborative initiatives.

· Demonstrate professional communication and stakeholder engagement skills.

· Build and maintain a portfolio showcasing fellowship projects and research contributions.

· Participate in career readiness and professional development activities.

Fellowship Structure

Graduate Research FellowshipPhase 1 – Foundation & Skill Development

· Domain-specific learning modules

· Tool and technology training

· Mentor-led sessions and assessments

· Research fundamentals and project orientation

Phase 2 – Project Execution

· Industry project participation

· Applied problem-solving activities

· Team collaboration and project reviews

· Deliverable development and documentation

Phase 3 – Research Report & Certification

· Research report preparation

· Final presentation and evaluation

· Portfolio completion

· Fellowship certification

Post-Graduate Research FellowshipPhase 1 – Advanced Domain Training

· Advanced technical and research modules

· Research proposal development

· Mentor-guided specialization

Phase 2 – Applied Research Project

· Independent or team-based research execution

· Development of practical solutions, prototypes, models, or publications

· Periodic mentor reviews and progress reporting

Phase 3 – Research Associateship

· Industry-aligned research and project assignments

· Collaboration with research and innovation teams

· Professional research output development

· Associateship experience

Learning Outcomes

By the end of the fellowship, participants will:

· Gain practical experience working on real-world projects and research initiatives.

· Develop strong analytical, critical thinking, and problem-solving skills.

· Build competency in industry-standard tools and technologies relevant to their domain.

· Learn structured research methodologies and professional documentation practices.

· Strengthen communication, collaboration, and project management capabilities.

· Develop an industry-ready portfolio showcasing project and research achievements.

· Gain exposure to AI-powered workflows and modern digital technologies.

· Enhance employability through experiential learning and mentor-guided development.

Eligibility Criteria

Graduate Research Fellow

· Bachelor's Degree (BA, BSc, BCom, BBA, BCA, BE/BTech or equivalent) or final-year students from a recognized institution.

Post-Graduate Research Fellow

· Master's Degree (MA, MSc, MCom, MBA, MCA, MTech or equivalent) or final-year postgraduate students from a recognized institution.

Preferred Skills

· Strong analytical and problem-solving mindset.

· Interest in research, innovation, technology, analytics, or business transformation.

· Basic proficiency in computer applications and digital tools.

· Willingness to learn and adapt in a dynamic environment.

· Effective written and verbal communication skills.

· Ability to work independently and collaboratively.

Fellowship Benefits

· Industry-integrated experiential learning environment.

· Mentorship from experienced industry professionals and researchers.

· Hands-on exposure to real-world projects and research assignments.

· Access to AI-powered learning and productivity tools.

· Professional portfolio development support.

· Career guidance, interview preparation, and employability enhancement programs.

· Fellowship Certificate upon successful completion.

· Opportunity to contribute to research publications, technical reports, and innovation projects.

· Networking opportunities with mentors, researchers, and industry professionals.

· High-performing Post-Graduate Fellows may qualify for a Research Associateship.

· Opportunities for future mentorship, leadership, and advanced research engagement within the HEPro ecosystem.

Ideal Candidates

This fellowship is suitable for:

· Students seeking practical industry exposure.

· Fresh graduates looking to build job-ready skills.

· Postgraduates interested in applied research and innovation.

· Early-career professionals seeking specialization in emerging domains.

· Individuals passionate about technology, analytics, research, and solving real-world challenges.

Apply Now

HEPro Research & Fellowship Division