AI Aquaculture Specialist

2 days ago

Singapore beBeeStressDetection Full time $90,000 - $120,000
Senior Research Fellow

We are seeking a highly motivated and visionary researcher to join our team focused on AI and data science in controlled environmental aquaculture.

About the Role

This role involves research and development in AI-assisted methods for anomaly and fish stress detection, aiming to demonstrate early disease warning platforms outperform traditional approaches.

You will be part of a collaborative team working with international renowned biologists, aquaculture domain experts, sensor engineers, and AI developers to deploy and validate stress detection systems in operational environments.

Your primary responsibility will be to investigate and apply novel machine learning and deep learning techniques for pattern recognition, classification, and early intervention alerts in aquatic environments.

Key Responsibilities:
  • Research and develop AI-assisted methodologies and tools for anomaly and stress pattern detection in aquaculture systems.
  • Focus on multi-modal sensor data integration and AI models tailored for fish behaviour, health, and stress signal analysis.
  • Investigate and build robust data and AI agent pipelines for continuous learning and knowledge acquisition, including annotation strategies and knowledge graph development for aquaculture stress events.

The ideal candidate will have a PhD in Computer Science, AI, Bioengineering, Electrical/Electronic Engineering, Environmental Informatics, or a related field with focus on intelligent systems or biological sensing, and at least 4 years of relevant experience.

Required Skills and Qualifications:
  • PhD in Computer Science, AI, Bioengineering, Electrical/Electronic Engineering, Environmental Informatics, or a related field with focus on intelligent systems or biological sensing with at least 4 years of relevant experience.
  • Proven experience with sensor integration, data acquisition systems, and embedded hardware prototyping, preferably in aquatic or environmental monitoring contexts.
  • Strong understanding of real-time digital signal processing, control systems, and embedded AI for biological applications.
  • Experience with AI/ML development frameworks, model deployment pipelines, and simulation environments for behavior or anomaly detection in living organisms.

Familiarity with fish physiology, aquaculture stress indicators, or environmental sensing systems is beneficial; prior work in biosignal processing or environmental anomaly detection is a plus.

Benefits:
  • A competitive salary package
  • Ongoing professional development opportunities
  • A dynamic and supportive work environment

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