We have created the Role of the Werkstudent Automation Applications. If you are curious to develop dynamic simulation models for the sugar industry and enjoy working in interdisciplinary teams with software developers, process and DevOps engineers, and production managers in order to jointly realize our vision of a fully automated production, then we fit together perfectly.
Your tasks
- Develop in-house software platform for engineering and deploying advanced, high-level control algorithms such as state estimators, model predictive controllers, event-discrete fully automated schedulers and real-time optimizations
- Foster object-oriented modeling framework for optimization and physical modeling of sugar industrial processes
- Cooperate with frontend developers to develop the next generation of Human Machine Interface for advanced process control
- Collaborate with IoT and base automation engineers to integrate high-level automation algorithms with Distributed Control Systems
- Support control application developers to realize successful commissioning of high-level controllers and define new software requirements
- Management of pilot projects & technical support in an interdisciplinary team of programming, control, production & technology experts
Your profile
Strong focus on software engineering and scientific computing
- Practical experience with multiple object-oriented programming languages, preferably Python
- Experience developing and using software for engineering or scientific purposes
- Experience with software engineering tools & methods, e.g., git, Jira, regression testing, code review
- Willingness to constantly improve your coding with advanced object-oriented design patterns
- High interest in scalable solutions supported by integrated CAE engineering environments & evolving system infrastructure technologies
Adjacent technical profile
- Deeper understanding of physical modeling formalisms (e.g., DAE, ODE, symbolic vs. numerical solution methods)
- Mathematical understanding & practical experience with modern control algorithms, such as model predictive control, scheduling, real-time optimization, dynamic real-time optimization & relevant tools such as DMC+, Profit Controller, gDAP, or comparable
- Mathematical understanding & practical experience with optimization (e.g., NLP, QP, MILP)
- End-to-end knowledge of typical automation setups, from sensor to algorithm to actor (e.g., DCS infrastructure, PLC, operator stations, OPC)
- Some practical experience in industrial projects
Non-technical profile
- Hands-on mentality
- Open to interdisciplinary & culturally diverse teamwork
- Travel within Europe as required
- Interest in lifelong learning and constant expansion of one’s own horizons
- English business fluent. Proficiency in German or Polish is desired.
- Office freely selectable