What you'll do

• Build autonomous optimization systems for the real world — connecting AI, control, and process intelligence.
• Prototype and tune reinforcement learning, model-predictive control, or hybrid physics-ML algorithms.

About you

• You’re an ML/Control engineer who wants your models to touch the real world.
• You enjoy writing code that both trains and controls.
• You’re excited by the challenge of turning industrial data into autonomy.

What we're looking for

• Familiar with chemical process control, with a chemical engineering background, and has designed interesting DCS programs and controllers.
• Strong foundation in ML / optimization — e.g., reinforcement learning, MPC, system identification, or Bayesian methods.
• Understanding of control theory, process systems, or simulation environments is a plus.
• Experience with real-time data or streaming frameworks (MQT...