Proj Engr

[What the role is]
As an Aquaculture Technology Project Engineer at the Center for Aquaculture Diagnostics and Vaccines (CADV), you will play a pivotal role in advancing our aquaculture operations through the integration and optimization of cutting-edge automation and digital technologies. You will be responsible for designing, implementing, and managing technology solutions that increase efficiency, productivity, and sustainability in our aquaculture systems.

[What you will be working on]

Automation Systems Development: Design and implement automation systems for feeding, environmental monitoring, and health assessments to enhance the efficiency of aquaculture operations. Digital Transformation: Lead initiatives to digitalize aquaculture operations, including the deployment of IoT devices, sensors, and software solutions for real-time data analysis and decision-making. Data Analytics: Utilize data analytics and machine learning algorithms to optimize feeding strategies, growth conditions, and health management protocols. Innovation and Research: Stay abreast of the latest trends in aquaculture technology, evaluating and testing new tools and techniques for potential application within our operations. Cross-functional Collaboration: Work closely with the aquaculture team, IT department, and external industry partners to ensure seamless integration and alignment of technology solutions with business objectives. Training and Support: Provide technical training and support to aquaculture staff on new technologies and systems, ensuring high adoption and operational efficiency.

[What we are looking for]

Minimum of 3 years of experience in aquaculture operations, with a strong focus on automation and digital technologies. Proficiency in data analytics, IoT, and machine learning applications in aquaculture or related fields. Excellent project management skills, with a proven ability to lead technology integration projects from conception to implementation. Strong communication and collaboration skills, capable of working effectively in a multidisciplinary team environment. Innovative thinker with a passion for sustainability and efficiency in aquaculture. Familiarity with software development, preferably in Python or R, for custom analytics solutions. Experience with remote sensing technologies and their application in monitoring aquatic environments.

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