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# Fluid Dynamics & Machine Learning Expert

- **Company:** Atlas Copco
- **Location:** Antwerpen, Belgium (Remote available)
- **Contract:** Permanent contract
- **Skills:** Computational Fluid Dynamics, Machine Learning, Software Engineering
- **Published:** May 23, 2026
- **Apply:** https://be.indeed.com/viewjob?jk=771817cd2213c0d6

## About the Role

Do you have experience in Research?, Do you have a Doctoral degree?, At Atlas Copco, our slogan for various positions is "hire for attitude & train for skill". We train you for these positions through on-the-job-training. If you partly but not fully meet the profile as outlined below, we still encourage you to apply and take this opportunity. Who knows, on-the-job-training may be available for you for this position.

 * Master of Engineering Science or Master of Science
 * A Phd or research experience in the domain
 * Strong experience with fluid dynamics and CFD simulations is a must
 * Experience with machine-learning techniques
 * Experience with programming
 * Experience with flow and/or thermal measurements
 * Passion for technical challenges and a strong interest in research
 * A problem-solving and creative mindset to come up with novel solutions
 * Proven team player with excellent interpersonal communication
 * A critical attitude and attention to detail

## Description

Looking for a challenging opportunity where you can help shape our future products through simulation? Join the CAE team, the core competence center for thermal, flow, and structural simulations, where we combine deep physics expertise with cutting - edge machine - learning techniques.

As an expert in fluid-dynamic and thermal simulations, you drive product optimization through advanced modeling. Beyond performing advanced simulations across diverse applications, you collaborate closely with global product development teams to identify where simulations can strengthen the design process. You define effective simulation strategies and ensure they are seamlessly integrated into the development cycle.

You also play an important role in developing the competence domain by staying up to date with the state of the art on fluid-dynamic and thermal analysis as well as emerging machine-learning techniques. You identify opportunities to enhance our models and tools, translate these into concrete development roadmaps, and contribute to their execution. In addition, you mentor junior colleagues and communicate clearly with stakeholders worldwide about the capabilities and limitations of simulations.

You report to the team lead of the CAE team and will work hybrid on our site in Wilrijk.


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