Our client is a startup set out to build pioneering technology for energy optimization and stabilization of the power grid through advanced software. We’re combining physics-based and data-driven modeling with state-of-the-art control and machine learning methods to build cutting edge autonomous solutions.

You’ll dive into complex R&D tasks like:

• Modeling the dynamics of hydro power systems and power grid to serve as digital twins for simulation, estimation and control
• Developing learning algorithms that fit models to real-world data.
• Using models to develop advanced autonomous control solutions.
• Creating predictive solutions to optimize operation and detect problems.

Who You Are:

• You have an engineering degree (M.Sc./Ph.D.) within cybernetics engineering, dynamical systems, optimization, estimation, or control.
• You’re fluent in mathematical modeling, coding, automation, control systems, and/or machine learning.
• Your expertise lies in fields like parameter estimation, machine learning/AI, nonlinear systems, Kalman filters, Bayesian methods, and adaptive control design.
• Knowledge of hydro power, power grid or power electronics technologies are an advantage, but not a requirement.

If you specialize in one or more of these areas, you’ll be a great fit!

Personal Traits We Value:

• Someone who are structured and good at planning.
• You can break down complex problems into concrete, manageable tasks.
• You combine theoretical knowledge with practical problem-solving.
• You love team collaboration but also enjoy diving deep into technical challenges.
• Motivated by solving the unsolvable, and thrive in a fast-paced, results-oriented environment.

Our client is a start-up developing solutions to bring small-scale hydropower plants into the future, turning them into flexibility resources for the energy market. By creating intelligent control systems to coordinate hydro power production and utilize supercapacitors, we’re enabling these resources to operate in the frequency market and help stabilize the power grid. You’ll join a team backed by industrial investors and public investment funds.  You will join a work environment with high skilled scientists from all over the world.