Research Assistant
Carnegie Mellon University |
Doha |
QA
The Information Systems Program within CMUQ seeking a motivated and talented Research Assistant to join the team and work on our groundbreaking project focused on developing the first automated system for scoring Arabic essays. This innovative system will assess essays written by high school and first-year university students in Qatar, focusing on four key dimensions: style, relevance, organization, and development. The project is a collaboration with Qatar University, and Qatar University Testing Center (QUTC) .This research project is funded by the Qatar Research Development and Innovation Council (QRDI). Given the advances in AI and machine learning, Automated Essay Scoring (AES) has been widely studied, particularly for English, but little attention has been given to Arabic. This project seeks to fill that gap by creating and deploying an Arabic AES system that predicts scores across the four dimensions. The project has five main objectives: (1) creating the first publicly available Arabic AES dataset, (2) developing effective holistic and dimension-specific scoring models, (3) designing cross-lingual and cross-prompt scoring models, (4) utilizing multi-task learning to enhance performance, and (5) deploying the system at the two end user sites. Core responsibilities include:
- Assist in the acquisition, cleaning, and annotation of Arabic essay datasets.
- Contribute to the development and fine-tuning of machine learning models for automated essay scoring.
- Participate in research and experiments involving cross-lingual and cross-prompt learning models.
- Support the integration and deployment of the developed AES system at the end-user sites.
- Collaborate with team members to prepare research papers, reports, and presentations.
- Perform other research-related tasks as required by the project.
- Bachelors or Masters degree in Computer Science, Linguistics, Data Science, or a related field.
- Strong programming skills, particularly in Python, and experience with machine learning libraries (e.g., TensorFlow, PyTorch).
- Familiarity with natural language processing (NLP) techniques and tools.
- Experience with Arabic language processing is highly desirable.
- Strong analytical and problem-solving skills.
- Excellent communication skills and the ability to work collaboratively in a team environment.
- Prior research experience is a plus, especially in areas related to AES, NLP, or machine learning.
- Opportunity to work on a pioneering project with significant academic and societal impact.
- Mentorship and professional development in cutting-edge research areas like NLP, AES, and machine learning.
- A collaborative and dynamic research environment at CMUQ and Qatar University.
- Potential to contribute to high-impact publications and attend conferences.
- Competitive salary and benefits based on qualifications and experience.
- Contact information for at least two academic or professional references
- Please visit “ Why Carnegie Mellon ” to learn more about becoming part of an institution inspiring innovations that change the world.
- Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
Information :
- Company : Carnegie Mellon University
- Position : Research Assistant
- Location : Doha
- Country : QA
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Post Date : 2025-06-04 | Expired Date : 2025-07-04