INTERNSHIP (M/F/D) - DATA DRIVEN PREDICTIVE CONTROL FOR PROCESS AUTOMATION

Internship (m/f/d) - Data Driven Predictive Control for Process Automation At ABB, we are dedicated to addressing global challenges.
Our core values.
care, courage, curiosity, and collaboration - combined with a focus on diversity, inclusion, and equal opportunities - are key drivers in our aim to empower everyone to create sustainable solutions.
That's our story.
Make it your story.
This position reports to R&D Team Lead Your role and responsibilities Looking for a taste of working life in an international, future-focused corporate group? Then join us as an intern (m/f/d) and familiarise yourself with a suitable department for 3 to 6 months.
You will be involved in large-scale projects and perform a defined set of duties independently.
Use your internship to build a network and become familiar with our company.
The following tasks and responsibilities will be part of your role.
• Contribute to ongoing research activities on data driven predictive control, helping us develop optimal control methods without detailed model knowledge.
• Benchmark an existing data driven predictive control algorithm against well-established methods like model predictive control (MPC).
• Develop a testing framework to evaluate performance and robustness of the Data driven predictive control algorithm.
• Support the implementation of additional features to the existing code framework.
• Implement new application examples based on literature or first principles equations.
• We expect that you show readiness to tackle difficult problems, above-average motivation to implement and test developed models and algorithms, and proactiveness to come up with new ideas on how to overcome possible challenges.
• Driving an independent work task as a project team member.
Qualifications for the role Bachelor’s or Master’s degree in Electrical Engineering, Automation and Control Engineering, Computational Engineering, Mathematics, Physics, Computer Science, or a related field.
Ideally, experience in control theory, automation, or model predictive control (MPC).
Strong programming skills, preferably in Python.
Familiarity with Git for version control is a plus.
Interest in solving complex industrial optimization and control problems.
Attention to detail and a thorough working approach.
Enjoy documenting results in written and graphical form and presenting them to the team.
Strong problem-solving skills.
Excellent communication skills with proficiency in English (spoken and written) for working in an international team.
More about us We value people from different backgrounds.
Could this be your story? Apply today or visit www.
bb.
om to read more about us and learn about the impact of our solutions across the globe.
#MyABBStory We believe in fairness, so interns who join us will benefit from our expertise as they expand their own knowledge.
Your time is valuable, so you will receive appropriate remuneration for the duration of the internship.
Please state whether you are applying for a voluntary internship or undertaking a mandatory internship, and be sure to enclose your certificate of enrolment.
In the case of mandatory internships, please include the corresponding extract from your university’s internship guidelines.
Interested? Then we look forward to receiving your informative application (cover letter, CV, certificate of enrolment, current transcript of grades and other supporting documents) through our online careers tool.