Summer Internship Program 2024 | Hamad Bin Khalifa University
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Qatar Computing Research Institute

The Summer Internship Program at Qatar Computing Research Institute (QCRI) offers intensive research and software development training to undergraduate students across a spectrum of fields, including but not limited to, Arabic Language Technologies, Cybersecurity, Data Analytics, Social Computing, and Software Engineering.

Program Duration

The program runs for 8 weeks from May 12 - July 25, 2024, with an alternate schedule available to accommodate Qatar University students.

  • Batch 1
    Date: May 12 - July 12, 2024
    Suitable for Education City universities and other universities.
  • Batch 2
    Date: May 26 - July 25, 2024
    Suitable for Qatar University students.

Application Period

Applications are accepted between March 13 - March 31, 2024.

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 program application form.

2024 SUMMER RESEARCH PROGRAM PROJECTS

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Arabic Language Technologies

  1. Ask Me Anything: Data/Prompts Collection System for LLMs
  2. Towards the Robustness of Generative AI – Identifying Generated Disinformation and Persuasion Technique
  3. Navigating the Wisdom of Great Thinkers
  4. Mapping the Evolution of Scientific Legacy

Cyber Security

  1. A Web Application for Automated STIX Reports Generation from Cyber Threat Intelligence
  2. A Web Application for Automated Malware Analysis Reports Generation
  3. Benchmarking the Security of LLMs-Generated Code
  4. Impact of LLM Tokenization Choices on Cybersecurity Tasks

Qatar Center for Artificial Intelligence, QCAI

  1. Online and Offline User Experience Research
  2. Next-Token Prediction for Arabic LLM
  3. Efficient Transformers for Arabic LLM
  4. AI-Powered Discovery System for Transforming Human-Centric Structured Data into Actionable Knowledge
  5. DenTech (v2): A Platform for Oral Cancer Diagnosis Utilizing Artificial Intelligence
  6. A Large Language Model (LLM) of Clinical Events in the Intensive Care Unit (ICU)
  7. Building a Mendelian Randomization Pipeline to find causal estimates between metabolomic exposures and diseases.
  8. PopMLvis (v2): A Tool for Analysis and Visualization of Population Structure using Genotype Data from Genome-Wide Association Studies
  9. A Reinforcement Learning (RL) Model for AI-based Decision Support in Oral Cancer
  10. A Multi-task Learning Framework for Road Attribute Using Large Language Models (LLMs)
  11. Generating new protein with specific task with LLMs