Intern Data Scientist/ML Scientist
If you are a student who wants to make real impact in the world of food and water with data science, then this internship assignment is the best way to start your career in the technology world.
Jongia Mixing Technology
Leeuwarden
Full time
Data - science
About Jongia
Jongia is a leading supplier of high-quality agitators and mixers. Our products are used across various industries, such as food, biobased materials, chemicals, and petrochemicals, to blend multiple components into a homogeneous substance.
Digitalization and sustainability are rapidly transforming the market in which Jongia operates. Clients are posing increasingly complex and specialized questions. While process technologists traditionally relied on experience and intuition, Jongia is developing innovative mixing sensors to elevate the mixing process to the next level.
These sensors measure critical parameters, such as fluid behavior and viscosity, which are then used to optimize processes. This approach saves time, energy, raw materials, and costs while enhancing performance.
Research Project
During this project, you will apply machine learning (ML) and deep learning (DL) algorithms to detect anomalies and changes in the mixing process of an agitator. You will have access to an extensive dataset collected during experiments. This dataset consists of raw motor current data, supported by existing Python code for signal processing, using techniques such as Fourier transforms, wavelet analysis, and phase shift calculations.
Signal Processing Optimization: Analyze and optimize the signal processing methods. Investigate which settings, such as the frequency resolution of Fourier transforms or the parameters of wavelet analysis, extract the most valuable information from the data.
Model Development and Training: Develop and train ML and DL models, such as XGBoost or advanced deep learning architectures. You’ll learn to optimize hyperparameters and interpret the models’ workings.
Result Interpretation: Investigate which signals or features are most valuable for detecting changes in the mixing process. Tools like PCA, SHAP, or LIME will help provide insights.
Practical Application: Integrate the models and insights into Jongia’s existing processes, directly contributing to process optimization and monitoring.
What We Offer You
- A challenging project with real impact in an innovative sector.
- Guidance from experts in machine learning, deep learning, and signal processing.
- Room for personal initiative and experimentation.
- A unique opportunity to develop yourself and gain practical experience at a leading company.
- Are you our ideal candidate?
We’re looking for an ambitious graduate student with a passion for data science and a curiosity about complex processes. You should already have acquired knowledge of programming, data science, and ML during your studies, and this project will give you the chance to put that knowledge into practice.
Do you want to use your graduation project to contribute to sustainable innovation in a challenging, technological environment? Then this is the perfect opportunity for you!
Are You Our Ideal Candidate?
- Experience or affinity with Python and data analysis
- Eager to learn / enthusiastic and independent.
What we offer
- A training period covering the basic elements of Mixing
- See tangible results from your work in a dynamic and innovative setting.
- Work in an experimentation-friendly environment.
- An environment where there is a lot of testing and trying
- Collaborate with a team dedicated to continuous innovation.
- Receive a monthly compensation of €295 (based on a 40-hour workweek).
Intern Data Scientist
- Data scientist (Machine Learning / Deep Learning / Python)
