MATLAB Experts in Switzerland
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Meet FRATCH Experts in Switzerland, who have recently used MATLAB
Ursula Maria Mayer
Last position:
Business Mentor at RoleModel Rebels
- Mentor female students and professionals in advancing their careers, particularly as aspiring tech entrepreneurs.
Andi Vontobel
Last position:
Test Engineer at Crypto AG and Crypto International AG
- Defining and carrying out system tests
- Supporting the automated test environment
- Evaluating tools for automated testing
Georgios Sfakianakis
Last position:
Senior Software Engineer at UBS Bank
- Implementations of a code refactoring framework able to refactor thousands of repositories leveraging Generative AI
- Use Python (Django, Flask, FastAPI), Java and Typescript in Azure Cloud (Data Lake, VMs, AI) and GitLab infrastructure
- Mentoring and pair programming
- Obtained Azure AI-900 and AI-102 certifications
Ioannis Kaliakatsos
Last position:
Algorithms Development Expert, Research & Development at Reishauer AG
- Mathematical specification and definition, analysis and software development of the skiving cutter tool motion planning within the skiving machine for simultaneous and sequential gear flank processing
- Twist-free topological manufacturing
- Workpiece flank line modifications
- Workpiece flank line and profile corrections
- Workpiece tooth thickness deviations
- Computer vision algorithms for automatic wear detection of the skiving cutter tool
- Software development for corrections of the machine kinematics for the profile grinding product series, including twist-free grinding
- Software development for corrections of the machine kinematics, quality measurement and evaluation for the slot grinding product series
- Performance analysis and continuous improvement of internal design tools (RTDesign)
- Tools used: C#, .NET, TeamCity, git, PostgreSQL, MySQL
Balázs Schweighoffer
Last position:
Owner at Schweighoffer GmbH
- Business analysis and requirements engineering
- Consulting technical mathematics and control theory
- Selling outsourcing software development projects to companies
- Project lead, controlling and automated testing
- Software design and support
- Developed control algorithm for a sensorless permanent magnet electric motor
- Solved control engineering problems for customers
Martin Aicher
Last position:
Martin Aicher
Main areas of activity â‹… Martin Aicher
Areas of expertise
Medical technology
Sensor technology
Technical optics
Mechatronics
Microsystems technology
Biocompatible materials
Implants and endoprosthetics
Project management
Quality management IPMA
Regulatory affairs
Education
Dr.-Ing. Medical Technology
M.Sc. Medical Technology
Dipl. Ing. (FH) Medical Technology
Surgical mechanic, precision mechanic
Methodical product development
26 years of research, development, verification and agile product development
5 years of hands-on manufacturing of micromechanical instruments and implants
Projects
Development and verification of technical optics
Microscopy
Endoscopy
Immersion optical systems
Optical sensors
Light guides
Device development — medical electronics, active medical devices
Electromagnetic therapy devices for microcirculation of blood vessels
Electric drives, precision mechanics motors
Embedded devices, Medicine 4.0 / Industry 4.0
Feasibility studies, prototype design, electromechanical, chemical and hydrodynamic characterization up to series maturity
Structural integration of motors for pump systems
Integration of motors for catheter drives
Implantable drive systems with motors
Bone saws with Maxon motors
Osteosynthesis implant (bone implant) with linear drive
Electromagnetic therapy devices for microcirculation of blood vessels
Gold and platinum substitution for electrodes
Electrochemical impedance spectroscopy (EIS)
Characterization and development of battery cells and Li-ion batteries
Biocompatible materials: stainless steel, titanium, nitinol, polymers, ceramics, composites
Vacuum device with pumps for wound healing
Braided tubes (reinforced hoses)
Shaft instruments and trocars
Surgical instruments, minimally invasive instruments (MIC)
Analytical instruments, sensors and fluid preparation
Monitoring systems
In vivo diagnostics (IVD)
Inline measurement systems for monitoring and analytical devices
Feasibility studies, prototype design, electrochemical and hydrodynamic characterization up to series maturity
Electrochemical deionization (EDI) as a monitor
Membrane technology
Measurement method and control of carbide saturation in cooling water
pH sensor
Optical sensors with laser diodes and LEDs
Dissolved O2 sensor
CO2 sensors
Ion-selective sensor (ISE)
Conductivity sensors
Turbidity sensor according to ISO 7027
Biosensors
Flow and pressure sensors
Gold and platinum substitution for electrodes
Electrochemical impedance spectroscopy (EIS)
Biocompatible materials: stainless steel, titanium, nitinol, polymers, ceramics, composites
Design of plastic injection-molded components and housings
Calculation and design of fluid channels
Design of metal die-cast components
Design of sheet metal parts
Implants and prostheses
Endoprosthetics: knee and hip endoprostheses
Bypass implants
Nitinol stents
Bone plates
Dental implants
Precision meshes
Instruments for medical technology
Angioplasty: PTCA percutaneous transluminal coronary angioplasty with balloon catheter
Catheter system as minimally invasive heart pump
EN ISO 10555-4: intravascular catheters
Braided tubes (reinforced hoses through precision meshes)
Thrombectomy with rotablation catheter
Trocars
Surgical instruments, minimally invasive instruments (MIC)
Endoscopes ISO 8600-1, EN 60601-2-18, EN 62471
Regulatory affairs for medical devices
CE for Europe (Class II and III), EU Medical Device Regulation 2017/745 (MDR)
EU Regulation 2017/746 for in vitro diagnostics (IVDR)
Ensuring complete documentation according to current regulatory requirements
FDA registration and approval 510(k), PMN, PMA, Class II, III
Design History Files (DHF), Device Master Record (DMR), Device History Record (DHR)
Internal and external audits
FDA and CE audits
Mock audits
Requirement engineering, user requirement specifications, functional requirement specifications
Quality management and relevant standards for medical technology
EN ISO 9001:2015
EN ISO 13485:2021
USA FDA 21 CFR 820 Quality Management System
FDA 21 CFR §§ 803, 806, 807, 830
In vitro diagnostics (IVD, IVDR) FDA 21 CFR §§ 600, 610, 660
USA FDA risk management for medical devices DIN EN ISO 14971:2019
P-FMEA for production
Usability of medical devices EN 62366-1:2021
CAPA (Corrective and preventive action) and GMP
Medical electrical equipment EN 60601-1:2013
EMC for medical devices DIN EN 60601-1-2:2022
Medical device software EN 62304:2018
Cell culture in cleanroom with different cell lines for biocompatibility testing of polymers and alloys
Biological evaluation of medical devices EN ISO 10993
Clinical investigation of medical devices ISO 14155
Manufacturing technology and processes
Process qualification and validation
Injection molding technology
CNC micromechanical manufacturing
Microsystems technology, printed circuit boards (PCB)
Joining technologies: laser welding of titanium, stainless steel, plastics as well as gluing and ultrasonic welding
Evaluation, setup and qualification of equipment
Thin film and surface technology
Coating of implants and tribological surfaces with chemical vapor deposition (CVD) and physical vapor deposition (PVD), sputtering of precious metals, stainless steels, nitinol, titanium alloys, polymers and ceramics
Plasma technology for functional coatings: hydrophilic and hydrophobic surfaces
Nanotechnology: surface functionalization: self-assembled monolayers (SAM)
Product Life Cycle Management
Finite element method
ANSYS FEM
Structural mechanics, statics
Fluid mechanics, flow simulations
Electrical engineering, electromagnetic fields
Characterization and testing of microelectronics
PCB (printed circuit board)
Sensor technology
Microcontrollers
CAN bus: ISO 11898, SAE
Control and data management with LabVIEW and Matlab
Programming language
Python 3.14
CAD
Autodesk Inventor
Pro/ENGINEER, PTC Creo Parametric
SolidWorks
Siemens NX
Solid Edge
Standards-compliant technical drawings
Endurance tests, mechanical, fluid mechanical, electrical and chemical characterization
Verification, V-Model, End of Line (EOL) testing
Writing work instructions for production, English regulatory documents and scientific articles
Support of clinical studies
Data processing, digital data management and statistics
Professional handling of Microsoft Office applications: PowerPoint, Word and macro programming for Excel
© 2026 M. Aicher
Discover over 15,000 top freelancers
Statistics of experts using MATLAB
Aggregated from the professional profiles of matched freelancers.
Experience
25 years
Position duration
3.9 years
Positions per freelancer
8
Top business areas
Product Development, Research and Development, Information Technology
Top industries
Manufacturing, Education, Healthcare
Certification focus areas
Information Technology, Business Intelligence, Research and Development
Bachelor's degree or higher
83%
Master's degree or higher
83%
Doctorate
33%
Certifications per freelancer
3
Most common languages
German, English, Greek
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Switzerland 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 Switzerland using MATLAB
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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
MATLAB for technical work
MATLAB is used to model systems, analyze data, and test ideas before they reach production. It fits work where math, simulation, and clear visual output matter. Teams bring in MATLAB specialists when they need reliable scripts, repeatable analysis, or custom tooling around engineering data.
Common project types
- Signal processing and sensor analysis
- Control system modeling and simulation
- Image processing and computer vision
- Data cleaning, visualization, and reporting
- Test and validation scripts for technical teams
Ecosystem and tools
Strong MATLAB specialists work across core MATLAB, Simulink, and related toolboxes. They know how to choose the right package for statistics, optimization, or numerical methods, and they keep code readable for handover. They also understand when to connect MATLAB with Python, Excel, or hardware data sources.
When companies need help
Companies often look for freelance MATLAB expertise when internal teams are overloaded or a project needs niche domain knowledge. This is common in engineering, manufacturing, energy, mobility, and research work in Switzerland. Remote collaboration works well for analysis and code review, while on-site time can help with lab data, system access, or stakeholder workshops.
What strong specialists deliver
A good MATLAB professional writes clean scripts, checks assumptions, and documents methods clearly. They build solutions that other specialists can run, review, and extend. They also spot weak data early, so the output is useful instead of just polished.
Hiring signals
Look for specialists who can explain numerical choices in plain language and who have shipped work, not only coursework. Good signs include disciplined version control, practical testing, and the ability to move between analysis and implementation. If a project depends on simulation, signal work, or engineering validation, MATLAB experience should be specific and current.
Frequently asked questions
Need clarity? These are the questions we hear most often about MATLAB.
MATLAB is used for numerical analysis, modeling, simulation, and technical data work. Companies rely on it for signal processing, control systems, image analysis, and validation tasks where formulas and repeatable results matter.
MATLAB is often preferred when teams want a focused environment for matrix-based computing, engineering workflows, and simulation. Python is broader and can be better for general software stacks, but MATLAB and Simulink are strong where technical analysis and model-based design are central.
No. MATLAB can stand alone for scripting, analysis, and visualization, while Simulink is used when the work involves block-based system modeling or dynamic simulation. A strong specialist knows when Simulink adds value and when plain MATLAB is enough.
A strong MATLAB specialist often also knows numerical methods, statistics, signal processing, and basic software engineering habits such as testing and version control. Depending on the project, Python, Simulink, or data integration skills may also matter.
A small analysis task may only need a specialist who knows the core language and the relevant toolbox. A complex simulation, validation flow, or production handover needs someone who understands the domain, the data, and the limits of the model. The right depth depends on how critical the output is.
Many MATLAB tasks work well remotely, especially scripting, model cleanup, and report generation. On-site time can help when the work depends on test benches, lab equipment, protected data, or close work with engineers and researchers in Switzerland.
Look for clear code, sensible structure, and the ability to explain why a method was chosen. A strong MATLAB specialist documents assumptions, validates outputs, and makes the work easy for others to maintain. Past work should show real technical problem solving, not just plots and surface-level scripts.
Before taking a MATLAB assignment, a specialist should understand the domain, the data source, the expected output, and whether Simulink or a toolbox is required. It also helps to know how the team shares files, reviews results, and handles handover, especially on projects that mix analysis with engineering delivery.
The average hourly rate of freelancers in Switzerland who have used MATLAB in their recent projects is 116 €, which corresponds to a daily rate of about 930 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used MATLAB in their recent projects, 83% hold at least a Bachelor's degree, 83% hold at least a Master's degree, and 33% hold a doctorate.
On average, freelancers in Switzerland who have used MATLAB in their recent projects have 25 years of professional experience, with a single engagement typically lasting around 3.9 years.
The most common languages among freelancers in Switzerland who have used MATLAB in their recent projects are German (100%), English (100%), and Greek (33%).
The most common industries among freelancers in Switzerland who have used MATLAB in their recent projects are Manufacturing (83%), Education (67%), and Healthcare (67%).
The most common business areas among freelancers in Switzerland who have used MATLAB in their recent projects are Product Development (100%), Research and Development (100%), and Information Technology (83%).
Main locations of FRATCH Experts, who have recently used MATLAB
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:
Zurich Geneva Basel Bern Request a free demo
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FRATCH CEO
