Postdoctoral Researcher AI And Smart Aquaculture Systems

Postdoctoral Researcher – Smart Aqua-PV

The Department of Mechanical and Aerospace Engineering at the United Arab Emirates University (UAEU) seeks 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 modelling, artificial intelligence optimisation, and ultra‑low‑power underwater sensing in collaboration with MIT.

• Development of digital twin models integrating solar energy, RAS dynamics, and sensor data
• Design and implementation of AI algorithms for feeding optimisation, 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 modelling using machine learning tools
• Supervision of graduate students (PhD and MSc)
• Preparation of high‑impact journal publications
• Contribution to techno‑economic analysis and scalability modelling
• Participation in stakeholder workshops and project dissemination

• PhD in Mechanical Engineering, Electrical Engineering, Computer Engineering, Energy Systems, AI, or a closely related field
• Strong background in machine learning and data‑driven modelling
• 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 modelling
• 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 optimisation algorithms and agent‑based models
• Experience in real‑time control systems
• Experience working on interdisciplinary or international projects
• Willingness to collaborate with the MIT research team

• A detailed CV
• Evidence of prior experience in machine learning, system modelling, or energy systems
• PDF copies of two representative journal publications

01/08/2026