- Company Name
- Flanders Make
- Job Title
- Research Engineer Computer Vision (Leuven, Lommel, Kortrijk)
- Job Description
-
**Job Title**
Research Engineer – Computer Vision & AI (Hardware & Software)
**Role Summary**
Lead the development of computer‑vision solutions for advanced industrial systems. Collaborate with cross‑functional teams to design, prototype, and deploy machine‑learning and deep‑learning models that enhance automation, quality inspection, and robotic autonomy in manufacturing environments.
**Expectations**
- Take ownership of vision‑capability projects from concept to demonstrator.
- Translate cutting‑edge research into practical product‑grade solutions.
- Engage with control, sensor, and mechanical experts to integrate vision into mechatronic systems.
**Key Responsibilities**
- Study, design, and implement computer‑vision algorithms in Python, C++, and MATLAB.
- Engineer feature extraction methods and decision systems using rule‑based, classical ML, and deep‑learning techniques.
- Train, validate, and deploy classifiers; refine models with real‑world data.
- Utilize OpenCV, dlib, ImageJ/Fiji, Halcon, and related libraries for algorithm development.
- Select appropriate optics, lenses, illumination, sensors, and embedded platforms for each use‑case.
- Perform camera calibration and build stereo/3‑D imaging pipelines.
- Build functional prototypes and demonstrations for stakeholders.
- Collaborate on multidisciplinary research, contribute to proposal writing, and publish findings.
- Maintain version control, documentation, and reproducible experiment pipelines.
**Required Skills**
- Strong background in computer‑vision algorithm development.
- Proficiency in Python, C++, MATLAB; familiarity with Linux and open‑source tools.
- Experience with OpenCV, dlib, ImageJ/Fiji, Halcon; and deep‑learning frameworks (Keras, TensorFlow).
- Knowledge of ML libraries: scikit‑learn, pandas, numpy, scipy, Weka.
- Understanding of camera calibration, stereo vision, and 3‑D reconstruction.
- Ability to select and integrate imaging hardware and embedded CPUs/GPUs.
- Self‑directed, result‑oriented, proactive, and comfortable in a research environment.
**Required Education & Certifications**
- Master’s or PhD in Computer Vision, Computer Science, Electrical/Mechanical Engineering, Robotics, Mathematics, or Physics.
- Demonstrated experience designing and delivering CV projects involving both hardware and software components in academic or industrial settings.
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