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The Summer Internship Program at Qatar Computing Research Institute (QCRI) offers intensive research and software development training to undergraduate and graduate students in Arabic Language Technologies, Cybersecurity, Data Analytics, Social Computing and Software Engineering.
Program Duration
The program runs for eight weeks with a one week break to observe Eid Al Adha. Two internship cohorts are offered to accommodate students with different summer schedules, ensuring alignment with diverse institutional schedules.
- Cohort 1
Date: May 10 - July 09, 2026
Designed for students from Education City universities and other institutions - Cohort 2
Date: May 31 - July 23, 2026
Designed for Qatar University students
Application Period
Applications are accepted between Thursday, March 26 – Friday, April 10, 2026
Application Instructions
- Step 1: Read the projects listed below and select the two research areas that interest you the most.
- Step 2: Fill out the internship application form.
2026 SUMMER INTERNSHIP PROJECTS
- A Multi-Agent LLM Framework for Detecting Narrative Attacks in Social and News Media
- AI-Based Scoring of Arabic Essays
- AI-Powered Job Market Intelligence
Analyzing the Qatar Job Market in the Era of Artificial Intelligence - Arabic LLM Data Intelligence Internship
Analyzing the Quality, Coverage, and Gaps of Arabic Training Data for Large Language Models - Evaluating Cultural Relevance of Arabic AI Benchmarks
Assessing Alignment with Arabic and Islamic Contexts - Development of Educational Game for the Qatari Curriculum: A Systems Process Engineering Approach to Intelligent Learning Design
- Digital Game-Based Learning for Qatari Curriculum: A Systems Process Engineering Approach to Educational Technology Development
- Generative AI Research for Multimodal Document Understanding
- GYM: A Benchmarking Framework for Multimodal Reasoning, Mathematics, Code Generation, and Spatial Understanding
- Multi-modal-dialectal-cultural Arabic Understanding
- Systematic Bug Testing and Reliability Engineering for NUMUE: A Process-Driven Quality Assurance Framework
- Conversational Failure Analysis for Arabic Speech-First Multimodal LLMS
- At Scale and At Risk: Understanding LLM-Generated Vulnerability Reports in Open-Source Ecosystems
- Automated Benchmarking for LLM Privacy, Fairness, and Security
- Benchmarking Cybersecurity LLM Benchmarks: Rigour, Robustness, and Multilingual Coverage
- From Knowledge to Evaluation: Modelling Cybersecurity Knowledge Graphs for Automatic Benchmark Generation
- LLM-VEX: Extending Vulnerability Exploitability eXchange for AI-BOM Security Transparency
- Agentic Framework for Extracting Causal Career Roadmaps
- Benchmarking Review, Standardization, and Exploratory Analysis of Public Remote Sensing Disaster Datasets
- Culturally-Aware Agentic Framework for Psychiatrists Training
- Disaster Impact Assessment using Visual-Language Models
- Fast Genome-Wide Association Study Visualization with C++
- Humanitarian Pulse: An AI-Powered Disaster Event Intelligence and Thematic Summarization System
- RWGAI - Geospatial AI for High-Resolution Satellite Imagery Annotation and Mapping
- Comprehensive Benchmarking Large Vision Language Models (LVLM) in Oral Cancer Classification and Segmentation
- BioMed AI: Protein–Protein–Interaction (PPI) Modeling Platform
- Development of a Cancer-Actionability Web Platform for Interpreting Clinically Relevant Genetic Variants
- Development of a Deep Learning-Based Drug-Target Interaction (DTI) Prediction Model for Precision Oncology
- Building a Mendelian Randomization Pipeline to find causal estimates between metabolomic exposures and diseases
- SMILE-Q: Smart Mucositis and Implant Learning Engine for Qatari Population
- Continual Fine-Tuning and Stable Adaptation of Large Models
- Parameter-Space Model Merging for Large Language Models
- Flow-based model for generative model for small molecules