Research Associate – AI-Data Science focus Inventory Optimization & Recommender Syste

Research Associate – AI‑Data Science (Inventory Optimization & Recommender Systems Specialist)

University of Doha for Science & Technology (UDST): A national applied university in Qatar offering applied bachelor’s and master’s degrees, certificates, and diplomas across Engineering, Business, Computing, Health Sciences, and more.

UDST hosts over 700 staff and 8,000 students, recognized for student‑centred learning and state‑of‑the‑art facilities. We invite a highly motivated Research Associate to join a collaborative project with a leading technology company.

The role focuses on advanced algorithms for inventory management and personalized customer experiences, requiring strong expertise in reinforcement learning, optimization, recommender systems, and applied machine learning.

• Inventory Optimization Module: Develop and prototype reinforcement‑learning‑driven optimization algorithms, research safety‑stock management, and integrate models with demand‑forecasting systems.
• Recommender System Development: Build context‑aware recommender systems using knowledge graphs and session‑encoding techniques, validate algorithms, and integrate with inventory and forecasting systems.
• Microservices, MLOps & Deployment: Deploy RL optimizers and recommender systems as microservices, build CI/CD pipelines, and implement monitoring dashboards, drift detection, and performance alerts.
• Documentation, Training & Academic Output: Prepare technical documentation, API specifications, and system user guides; contribute to case studies, final reports, academic publications, and patents.

• Educational Background:
  • Ph.D. in Computer Science, Operations Research, AI, or a related field, OR
  • Master’s degree in Computer Science/Engineering with at least 3 years of experience in optimization, recommender systems, or reinforcement learning.
• Technical Expertise: Strong knowledge of reinforcement learning, optimization algorithms, recommender systems, simulation, A/B testing, knowledge graphs, session-based recommendation, and personalization techniques.
• Programming
  
  Skills:
  
  Advanced proficiency in Python or R; familiarity with machine‑learning libraries such as Scikit‑Learn, Tensor Flow, and PyTorch.
• Communication &
  
  Collaboration:
  
  Excellent documentation and presentation skills for both technical and non‑technical stakeholders; proven ability to work in collaborative team environments andYT manage multiple tasks effectively.

Mid‑Senior level

Temporary

Management and Manufacturing – Higher Education Industry