Research Assistant – IACAD

May 12, 2026 ### **Job Description** **Project:** Agentic AI Maximo Platform Project **About the Project** The *Agentic AI Maximo Platform Project* is a pioneering initiative led by the College of Engineering and IT at the University of Dubai, in collaboration with the Islamic Affairs and Charitable Activities Department (IACAD). The project enhances the **IBM Maximo Application Suite** by integrating an **Agentic AI layer**, transforming Maximo modules into autonomous, explainable agents that collaborate for predictive maintenance, fraud detection, budget forecasting, and intelligent resource allocation across more than 1,000 facilities in Dubai. **Role Overview** The **Research Assistant (RA)** will play a vital role in developing and validating AI-driven agentic modules within the IBM Maximo ecosystem. This position is ideal for candidates passionate about **AI systems design**, **machine learning for operations automation**, and **multi-agent systems**. The RA will work under faculty supervision, collaborating with data scientists, software engineers, and industry partners to deliver research-grade innovations and deployable AI solutions. **Key Responsibilities** * **Agentic Intelligence Development:** Design and evaluate learning algorithms for Maximo agents (Predict, Fraud & Controls, Budget Intelligence, Scheduling), integrating reinforcement learning and human-in-the-loop feedback loops. * **AI Model Design and Optimization:** Develop predictive models for failure detection, asset health scoring, and budget forecasting using methods such as Gradient Boosting, LSTM, Prophet, and XGBoost. * **Data Integration and Feature Engineering:** Prepare and integrate IoT, telemetry, and financial data streams through Maximo’s Integration Framework (MIF) and Collaboration Bus. * **Explainable AI and Governance:** Implement interpretable AI models, monitor bias and drift, and support explainability dashboards for decision transparency. * **Continuous Learning Pipelines:** Establish retraining loops triggered by performance KPIs (MAPE, precision, SLA compliance) and operational feedback from Maximo interfaces. * **Research Output and Dissemination:** Contribute to publications, technical deliverables, and reports on AI automation, multi-agent architectures, and generative AI workflows. **Required Qualifications** **Educational Background:** * Master’s degree (PhD is a plus) in Artificial Intelligence, Computer Science, Data Science, Electrical/Computer Engineering, or a related field. **Technical Skills:** * Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). * Experience in AI model deployment and automation pipelines. * Familiarity with IBM Maximo or similar enterprise asset management systems is a plus. * Knowledge of reinforcement learning, time-series forecasting, and anomaly detection. * Experience working with IoT data, databases, and cloud platforms (AWS, Azure, or IBM Cloud). **Soft Skills:** * Strong analytical and problem-solving abilities. * Excellent technical writing and communication skills. * Ability to collaborate effectively with interdisciplinary teams. * Motivation for applied AI research and publication in reputable journals. **Preferred Qualifications** * Hands-on experience with multi-agent systems, AI workflow orchestration, or intelligent automation frameworks. * Prior experience with IBM Maximo, Digital Twins, or AI for facility management. * Published research in machine learning, agentic AI, or predictive maintenance. **Why Join Us?** * Work on a cutting-edge national AI project transforming Dubai’s facility management ecosystem. * Gain hands-on experience with IBM Maximo and enterprise AI systems. * Collaborate with leading researchers and industrial partners (IACAD, IBM, and UD). * Access advanced computing infrastructure and AI research tools. * Opportunity to publish in top-tier conferences and journals. **Application Details** Applications will remain open until the position is filled. Interested candidates should submit the following to the **College of Engineering and IT, University of Dubai**: * A detailed CV highlighting relevant research experience. * A cover letter explaining motivation and fit for the position. * Academic transcripts (Master’s and/or PhD). * Contact information of two references. **Expected Start Date:** As soon as possible **Location:** University of Dubai, Academic City, Dubai, UAE **Information** --------------- * Date Posted May 12, 2026 * Location Engineering & Information Technology * Category CEIT * Expiration date June 11, 2026 **Employer Information** ------------------------ ### **hradminnew** ### **Categories:** Accounting, Customer Service, Engineering, IT & Networking, Project Manager, Sales & Marketing, Writing ### **Email:** [email protected]