Master Thesis: Numerical Investigation on the Influence of the Inlet Flow 100%

At Endress+Hauser, progress happens through collaboration. As the world's leading provider of measuring instruments, our approximately 17,000 employees shape the future in the field of process automation. Whether in the innovation and implementation of new technologies within the team, collaboration in the development of new devices, or strengthening important relationships with various global industries: Our work is based on building trusting relationships that help everyone succeed. As a family-run company, we look beyond short-term goals and work to create a future-oriented vision for our employees, our customers, and the world in general.

We are looking for a master’s student (m/f/d) for the thesis "Numerical Investigation on the Influence of the Inlet Flow for a Vortex Flow Meter" to complement our team and bring new impulses to the development of innovative flow measurement technology.

What is this position about?

Have you ever wondered how the geometry of a pipeline affects the measurement result of a flow meter? Are you interested in applying numerical flow simulation to solve real problems?
Then you are exactly right with us! In this master’s thesis, you will develop an alternative approach to optimize the inlet geometry for vortex flow meters. Your work will have a direct impact on the performance of our devices and thus on the processes of our customers worldwide.

What tasks will you take on?

You will:

• familiarize yourself with the topic of inlet flow and its influence on vortex flow meters.
• evaluate various optimization methods.
• develop and optimize a simulation workflow that can be adapted to different geometries.
• systematically document and present your results.

What do we expect from you?

You:

• are studying mechanical engineering, aerospace engineering, physics, or a comparable course of study.
• have solid basic knowledge and a strong interest in fluid mechanics and ideally a specialization in fluid mechanics and/or numerical simulation.
• ideally have basic knowledge of optimization methods (not mandatory).
• are fluent in German or English.

What can you expect from us?

• We are a family business with great commitment and a sustainable vision.
• We promote lifelong learning through diverse training and further education opportunities, internal knowledge transfer, and e-learning.
• We support your work-life balance with flexible working hours.
• We offer support for sustainable mobility solutions such as public transport.
• We live family-friendly policies, including childcare places and childcare services during holidays.

How do you apply?

To apply, please upload your documents on our career page. Applications sent to us by email cannot be considered due to data protection reasons.

Agencies, personnel service providers, or similar companies are asked to refrain from unsolicited submission of profiles and inquiries about possible cooperation. Currently, we do not work with external service providers for this position. All unsolicited applications from service providers will not be considered and will be deleted without further review. We thank you for your understanding.

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