Computational Fluid Dynamics Experts in Munich
in minutes from over 15,000 CVs with the power of AI.Hire experts who model flow, heat transfer, turbulence, and pressure drop for product design, process work, and validation studies. Get vetted, available specialists matched fast and precisely for your brief.
Meet FRATCH Experts in Munich, who have recently used Computational Fluid Dynamics
Dorin L.
Last position:
Release Train Engineer, Program Lead & Transformation Consultant - Freelancer at Telefónica Germany
- Transformation Consultant, Release Train Engineer and Program Lead – responsible for the new Way of Working in the Open Gateway Program; optimizing the flow of value by ensuring the ART events and artifacts function correctly, including the Open Gateway Release Train Kanban, Inspect & Adapt (I&A) workshop, ART Sync Meetings, and PI Planning to ensure stakeholder alignment;
- Coaching and guiding the Product Owners, Business Owners, Product Management, Program Managers, Leaders, Tribe Architect
- Coaching the OGW Core Team (cross functional) within the OGW Program and developing optimization measures in their transformation process;
- Facilitating and working actively towards the creation of the Definition of Ready (DoR) and the product Definition of Done (DoD);
- Introducing knowledge sharing workshops and grow the agile engineering practices;
- Hold Team lift-off workshops;
- Help the group to become a team by providing system team coaching and multifunctional learning;
- Facilitate, decision making, feedback loops for learning new skills and practices
Tools: JIRA, Confluence, MS Teams, Miro
David T.
Last position:
AI Trainer (NLP & LLM Evaluation) at Freelance
- Designed and evaluated high-quality prompts and completions for Large Language Models (LLMs), focusing on improving response accuracy, instruction-following behavior, and factual consistency.
- Annotated and rated LLM-generated outputs for grammar, coherence, relevance, and truthfulness.
- Developed RLHF-style preference data by ranking model completions to inform reinforcement learning fine-tuning cycles.
- Participated in prompt engineering experiments to assess the effect of instruction format, verbosity, and phrasing on model behavior.
- Conducted error analysis and quality assurance on large-scale NLP datasets, identifying edge cases and linguistic ambiguity affecting LLM performance.
Muhammad M.
Last position:
Master Thesis
Deniz H.
Last position:
Working Student / Thermal System Design at GE Aerospace Advanced Technology
- Performing 1D thermal analysis for RISE Heat Exchanger to evaluate heat transfer performance and efficiency.
- Collaborating with the experimental team to compare and validate simulation results with experimental data.
- Developing Python scripts for raw experimental data reduction and preprocessing to extract meaningful insights.
- Implementing post-processing techniques using Python to analyze processed data, including generating plots, statistical analysis, and trend identification.
- Automating data processing workflows to improve efficiency and accuracy in experimental evaluations.
Thomas Eric K.
Last position:
Software Developer at Vdynamics GmbH
- Support and work on Hardware-in-the-Loop (HiL) system
- Create and execute integration tests for HiL system
- Develop and commission engine models in Simulink
Discover over 15,000 top freelancers
Statistics of experts using Computational Fluid Dynamics
Aggregated from the professional profiles of matched freelancers.
Experience
12 years
Position duration
1.7 years
Positions per freelancer
5
Top business areas
Product Development, Research and Development, Quality Assurance
Top industries
Automotive, Manufacturing, Information Technology
Certification focus areas
Human Resources, Information Technology, Logistics
Bachelor's degree or higher
80%
Master's degree or higher
80%
Certifications per freelancer
7
Most common languages
German, English, French
Speak two or more languages
100%
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Munich are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Munich using Computational Fluid Dynamics
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Computational Fluid Dynamics experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Automotive (60%)
- Manufacturing (60%)
- Information Technology (40%)
- Aerospace and Defense (20%)
- Agriculture (20%)
- Biotechnology (20%)
- Chemical (20%)
- Education (20%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What CFD covers
Computational Fluid Dynamics, or CFD, is used to predict how liquids and gases move through a design or system. It helps teams test flow, heat transfer, mixing, pressure loss, and forces before building hardware. Strong work turns physical questions into clear simulation results.
Typical work
- Internal and external flow studies
- Thermal management and cooling analysis
- Pressure drop and fan or pump sizing support
- Mixing, dispersion, and multiphase behavior
- Validation against test data and design changes
Tools and methods
CFD work often uses ANSYS Fluent, STAR-CCM+, OpenFOAM, and similar solvers. Skilled professionals know meshing, boundary conditions, turbulence models, solver settings, and post-processing. They also understand when a simpler engineering calculation is better than a full simulation.
When companies bring help in
Teams usually hire freelance experts when a product is close to testing, a design needs review, or an internal team lacks time for a complex study. In Munich, that often means mobility, aerospace, energy, building systems, and industrial equipment projects. Remote work is common, but on-site reviews can help with geometry, test data, and engineering decisions.
What strong experts deliver
Good CFD professionals do more than run software. They define a clean model, explain assumptions, check mesh quality, compare cases, and write results that engineers can use. They should be able to defend the setup and show where the result is reliable and where it is only a trend.
How to scope the work
A clear brief should describe the geometry, fluids, operating conditions, goal of the study, and the decision it must support. Share CAD files, test data, and any limits on computing time or solver choice. The best results come when the expert can connect the simulation to the real design question.
Frequently asked questions
Questions about Computational Fluid Dynamics? Start with the answers below.
Computational Fluid Dynamics is used to study how fluids move, where pressure drops, how heat spreads, and how forces act on a design. Companies use it for airflow, cooling, mixing, combustion, pump and fan checks, and many other engineering questions. It is especially useful when physical testing is expensive or hard to repeat.
CFD works best as part of a broader engineering process, not as a standalone answer. Strong professionals use it to explore design options early, then compare results with measurements or prototype tests. That combination helps spot bad assumptions and build confidence in the final result.
A strong Computational Fluid Dynamics specialist usually knows a solver such as ANSYS Fluent, STAR-CCM+, or OpenFOAM, plus meshing and post-processing tools. The exact stack depends on the project, but the core skills are the same: setup, numerics, and interpretation. The tool matters less than the ability to build a trustworthy model.
A simple flow review may need a focused specialist who can set up a clean model and explain the limits. A harder project, such as multiphase flow, combustion, or coupled thermal analysis, needs deeper experience with modeling choices and validation. The key is matching the complexity of the study to the person you hire.
Look for clear assumptions, sensible boundary conditions, mesh checks, and a result that is compared with physics, not just software output. In CFD, a good answer explains what the model can and cannot prove. Clear documentation and a careful review of sensitivity are strong signs of quality.
CFD can show local effects that simplified methods miss, such as recirculation zones, hot spots, or uneven flow. Hand calculations and empirical correlations are still useful for fast checks, sizing, and sanity review. The best experts know when to use each method instead of forcing every problem into a full simulation.
Many Computational Fluid Dynamics projects can be handled remotely if the geometry, requirements, and review process are clear. On-site time can still help when teams need fast alignment on CAD issues, test rigs, or design decisions. In Munich, hybrid collaboration is common because many projects connect simulation work with local engineering teams.
The best CFD professionals often bring CAD reading, thermodynamics, heat transfer, fluid mechanics, and report writing skills. For some projects, knowledge of manufacturing limits, control systems, or test planning is also useful. That mix helps turn a simulation into a decision the team can actually use.
The average hourly rate of freelancers in Munich, Germany who have used Computational Fluid Dynamics in their recent projects is 62 €, which corresponds to a daily rate of about 496 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Computational Fluid Dynamics in their recent projects, 80% hold at least a Bachelor's degree and 80% hold at least a Master's degree.
On average, freelancers in Munich, Germany who have used Computational Fluid Dynamics in their recent projects have 12 years of professional experience, with a single engagement typically lasting around 1.7 years.
The most common languages among freelancers in Munich, Germany who have used Computational Fluid Dynamics in their recent projects are German (100%), English (100%), and French (40%).
The most common industries among freelancers in Munich, Germany who have used Computational Fluid Dynamics in their recent projects are Automotive (60%), Manufacturing (60%), and Information Technology (40%).
The most common business areas among freelancers in Munich, Germany who have used Computational Fluid Dynamics in their recent projects are Product Development (80%), Research and Development (80%), and Quality Assurance (60%).
Main locations of FRATCH Experts, who have recently used Computational Fluid Dynamics
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Countries:
Berlin Hamburg 
Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
