Research Assistant
About This Role
Job Description We invite applications for a Research Assistant position at the Department of Computer & Network Engineering (CIT), United Arab Emirates University. This position is part of a funded research project focused on advancing next-generation intelligent autonomous systems. The project aims to leverage AI agents and large-scale models to enable advanced reasoning, planning, and decision-making in complex and safety-critical environments. Key application domains include autonomous driving systems, UAV (drone) technologies, and 6G-enabled intelligent networks. The selected candidate will contribute to cutting-edge research in AI-driven reasoning, adaptive agent design, benchmarking frameworks, and robust AI systems.
Minimum Qualification
- Master’s degree in Computer Science, Artificial Intelligence, or a closely related field
- Strong background in Machine Learning, Deep Learning, and Generative AI
- Proficiency in Python and deep learning frameworks such as PyTorch
- Experience with Large Language Models (LLMs) and fine-tuning techniques
- Experience in dataset creation, model training, and evaluation
Preferred Qualification
- Experience with distributed training and GPU-based computing
- Familiarity with Hugging Face ecosystem and large-scale model deployment
- Knowledge of autonomous systems, robotics, or intelligent transportation systems
- Experience with simulation environments such as CARLA, AirSim, or similar
- Background in AI security, adversarial robustness, or trustworthy AI
- Prior research experience or publications in relevant AI fields
Expected Skills
- Research Assistant level position
- Strong programming and problem-solving skills
- Hands-on experience with machine learning pipelines and experimentation
- Ability to work with large-scale datasets and distributed systems
- Strong analytical and research skills with attention to detail
- Ability to collaborate in multidisciplinary research teams
- Good written and verbal communication skills
Special Instructions to Applicant
Interested candidates should submit:
- Updated CV
- Statement of research interests
- Contact details of at least two references
Close Date Kindly apply before the closing date.
19/05/2026
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