Master Student

vor 3 Wochen


Ladenburg, Deutschland ABB Vollzeit

**Master Student (M/F/d) Schedule-based energy optimization for process industries**:
**Take your next career step at ABB with a global team that is energizing the transformation of society and industry to achieve a more productive, sustainable future. At ABB, we have the clear goal of driving diversity and inclusion across all dimensions: gender, LGBTQ+, abilities, ethnicity and generations. Together, we are embarking on a journey where each and every one of us, individually and collectively, welcomes and celebrates individual differences.**:
ABB is a leading global engineering company that energizes the transformation of society and industry to achieve a more productive, sustainable future. By connecting software to its electrification, robotics, automation and motion portfolio, ABB pushes the boundaries of technology to drive performance to new levels. With a history of excellence stretching back more than 130 years, ABB's success is driven by 110,000 talented employees in over 100 countries. As Optimization and Control Research Group of ABB's Corporate Research Center Germany, we transfer recent academic insights and technology developments into prototypes of future products and systems. We are looking for ambitious and enthusiastic students to become part of our research and development team of a global, future-oriented company. Join us to learn from competent experts, gain insights on technologies, and get practical experience through challenging tasks in a project team. You will be involved in projects and perform a defined set of duties independently. Use your stay at corporate research center to build your professional network and become familiar with our company

**Your responsibilities**:

- Contribute to ongoing research activities on energy-saving and CO2-reducing optimal
- operation of future process industries through increased usage of renewable energy
- sources.
- Analyze individual components used in the process industries and build corresponding
- mathematical models.
- Use your optimization skills to further combine scheduling and energy flow to reduce
- overall operational cost and CO2 emissions, and increase the usage of renewables in
- process industries.
- Explore efficient algorithms and models to solve optimization tasks of real and
- potential industrial problems, e.g., electrification of mining.
- As a member of our project team, you should be highly motivated to get familiar with
- an unknown topic, be interested in code development and complete your work tasks
- independently.

**Your background**:

- Bachelor’s degree in Electrical Engineering, Computer Science, Mathematics, Systems
- Engineering, or similar.
- You have first experience with mathematical optimizations and know how to build and
- simplify applied optimization models.
- You are well acquainted with the programming languages, e.g., Python, C/C++.
- To communicate in our international team, you should have sound English skills in
- speaking and writing.
- Experience in using different optimization solvers (e.g., Gurobi, Cplex) is a plus.
- Knowledge of electrical systems and electricity market is a plus.

**More about us**:



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