Autonomous Feeding Control Systems Engineer

OptoScale; Trondheim; Presencial; NOK 900.000 - 1.200.000; Jornada completa

Descripción de la vacante

OptoScale is developing autonomous feeding control systems for aquaculture. The team uses underwater camera data and ML models to estimate fish state, weight, health, and feeding responses, enabling closed-loop feeding decisions.

You will join the AI & Optics team in Trondheim and contribute to shaping control strategies, state estimation from noisy data, and production-level Python code that runs in real products.

Formación

• MSc or PhD in control theory, cybernetics or autonomous systems.
• Strong Python skills and fluent in English.
• 3+ years in research or development (PhD counts).
• Experience with statistical modelling, data science or forecasting is a plus.
• Experience with reinforcement or imitation learning is a plus.

Responsabilidades

• Shape and develop the control strategy for autonomous feeding: how sensor data turns into feeding decisions.
• Estimate the state of the fish and their environment from noisy, delayed data, and forecast how both develop over time.
• Work with our machine learning team to turn model outputs into reliable inputs for feeding decisions.
• Write Python that runs in production, not just in notebooks.
• Follow your work from first idea to deployment, and keep improving it once it’s running.

Conocimientos

Python

English (written and spoken)

Autonomous systems knowledge

Educación

MSc or PhD in control theory, cybernetics, or autonomous systems

Herramientas

Python

Descripción del empleo

OptoScale is developing autonomous feeding control systems for aquaculture. The team uses underwater camera data and ML models to estimate fish state, weight, health, and feeding responses, enabling closed-loop feeding decisions.

You will join the AI & Optics team in Trondheim and contribute to shaping control strategies, state estimation from noisy data, and production-level Python code that runs in real products.