Postdoctoral Researcher – AI & Smart Aquaculture Systems
Listed on 2026-07-10
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Research/Development
Data Scientist, AI Business & Operations, Research Scientist
Job Description
The Department of Mechanical and Aerospace Engineering at the United Arab Emirates University (UAEU) is seeking a highly motivated Postdoctoral Researcher for a 2-year A-TRIP funded project titled: “Smart Aqua-PV: A Solar-Powered Digital Twin and AI-Driven Smart Aquaculture Pilot for Sustainable Protein Production in Arid Environments.” The project integrates solar-powered recirculating aquaculture systems (RAS), IoT monitoring, digital twin modeling, artificial intelligence optimization, and ultra-low-power underwater sensing in collaboration with the Massachusetts Institute of Technology (MIT).
The Postdoctoral Researcher will lead the development of AI-driven optimization models and the digital twin framework for the Smart Aqua-PV pilot system.
- Development of digital twin models integrating solar energy, RAS dynamics, and sensor data.
- Design and implementation of AI algorithms for feeding optimization, water quality prediction, and anomaly detection.
- Integration of MIT piezo-acoustic sensing data into the AI framework.
- Simulation of operational scenarios (heat stress, power interruption, system disturbances).
- Data analytics and predictive modeling using machine learning tools.
- Supervision of graduate students (PhD and MSc).
- Preparation of high-impact journal publications.
- Contribution to techno-economic analysis and scalability modeling.
- Participation in stakeholder workshops and project dissemination.
- Deliver functional AI-enabled aquaculture platform over the 24‑month project period.
- PhD in Mechanical Engineering, Electrical Engineering, Computer Engineering, Energy Systems, AI, or a closely related field.
- Strong background in machine learning and data-driven modeling.
- Experience with Python, MATLAB, or similar computational tools.
- Experience in system modeling and simulation.
- Proven publication record in peer-reviewed journals.
- Ability to manage research tasks independently.
- Strong scientific writing and communication skills.
- Experience in digital twin modeling.
- Experience in IoT data systems or sensor integration.
- Background in renewable energy systems or solar PV.
- Experience in aquaculture systems or environmental monitoring (advantageous but not mandatory).
- Knowledge of optimization algorithms and agent-based models.
- Experience in real-time control systems.
- Experience working on interdisciplinary or international projects.
- Willingness to collaborate with MIT research team.
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