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Flanders Make

Flanders Make

www.flandersmake.be

1 Job

291 Employees

About the Company

Flanders Make is the strategic research centre for the manufacturing industry. From our sites all over Flanders, we stimulate open innovation through excellent research. In addition, companies can work together with us in a custom innovation trajectory. Finally, we also offer an extensive range of testing and validation infrastructure for your products or production.

Our goal is to contribute to the technological development of the vehicles, machines and factories of the future. By doing so, we create added value for the manufacturing industry. Together we help companies innovate better and faster. In addition, we attach great importance to international cooperation in the field of innovation and to participation in European research projects.

Today Flanders Make counts over 850 researchers who work full-time as a unique research community on a joint industrial research agenda.

Listed Jobs

Company background Company brand
Company Name
Flanders Make
Job Title
Data Scientist (Kortrijk, Leuven, or Lommel)
Job Description
You will analyze complex datasets, build predictive models and develop data-driven prototypes. Your research results will shape the future of decision support in the factory of the future.

Flanders Make researchers aim to inspire the industry towards digitization and provide prototype tools. On the topic of data mining we care address the following questions

Can we derive insights from time stamps and production logs for decision support tools in the factory of the future?
Can we interpret sensor data to predict the behaviour of machines?

Use computing power to improve production processes

As a data scientist, you will:
Research how different data science techniques like pattern recognition and process mining etc.. can be useful for the industry;
Follow-up on trends on your topics in both academic research as well as in commercially available solutions; Develop and validate methodologies using innovative demonstrators.

For various industrial cases, you:
Provide structure and insight into raw data and perform exploratory data wrangling and analysis;
Analyse large and diverse datasets from manufacturing processes to identify trends, patterns, and opportunities for optimization;
Interact with experts in the operation and control of machines and production systems to understand the production process of a real lifecase;
Collaborate with other researchers and company stakeholders to translate theoretical research into practical solutions that are of value for the manufacturing industry;
Conduct experiments of data driven techniques on prototypes in lab conditions and manufacturing environments;
Collect feedback from experiments and use this to refine and improve your results;
Demonstrate your methodology towards companies and showcase them the feasibility of new technologies;
Recognize industrial needs and translate this into new project ideas that leveraging data science in an industrial setting.

Statistical mind and a passion for technology
You have:
PhD degree in Engineering (Computer Science, Artificial Intelligence, Mathematics, Statistics…); or equivalent by experience;
A mathematical and statistical mind with a touch of “Data Intuition”;
Domain knowledge in either data mining (association rule mining, …) or process mining (Petri nets,…).You have put at least one of these concepts into practice as well.
Good Familiarity with Deep Learning and/or other Machine Learning techniques;
Good coding skills and a track record in at least one general-purpose programming language such as Python, Java, C#, C++;
Interest to enhance your communication and data visualisation skills.

You are:
Passionate about the technology of machines and vehicles;
Creative;
A good communicator;
An active listener who can build sustainable relationships;
A fast learner in tooling; eager to work with database query languages like SQL, SPARQL, some machine learning toolkits (Scikit-learn, Mahout, Spark MLlib, PyTorch, TensorFlow, R, KNIME,...), and/or Matlab/Simulink/Octave.
Leuven, Belgium
On site
25-10-2024