Research Assistant

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.

30/09/2026

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