Data Analyst Engineer for new technology applications

You use data analytics and machine learning techniques to predict machine behaviour and derive the optimal settings for robots, autonomous vehicles and industrial machines.

Use computing power for high-tech applications

Flanders Make research engineers are experts in developing new technologies for machines and vehicles. Automotive companies and machine builders in Flanders are looking for predictive control and data analytics to be able to take the next step in their innovation process.

• What if you could predict machine failure by analysing measurements?
• Why do certain automotive parts result in better performances than others?

For the development of high-tech machinery (e.g. compressor, 3D printer, self-guided robot, autonomous vehicle…), you will

• Work together in a research team that combines expertise in artificial intelligence with expertise in the operation and control of machines and vehicles;
• Take the lead in developing predictive algorithms to process collected data and derive the optimal machine settings (Model-Based Data Analytics).

More concretely, you

• Understand the goal of the measurement campaign and discuss how to gather relevant data with the team (e.g. temperature signals, accelerometer signals, energy measurements, failure signals…);
• Provide structure and insight into raw data;
• Find ways to process the flow of data;
• Use current data analytics methods as well as machine learning and deep learning techniques to search for relevant connections between input signals (e.g. which environmental factors could be influencing the energy efficiency of the machine?);
• Use and model predictive algorithms and interpret the results;
• Draw conclusions and suggest improved parameters to improve the performances or energy efficiency.

Statistical mind with passion for technology

You have

• A Master or PhD degree in Engineering (Computer Science, Artificial Intelligence, Robotics…);
• At least 3 to 5 years of experience in an industrial or academic environment;
• Relevant experience with experimental designs for real-life (non-virtual) technology applications (machines, vehicles, robots...);
• Knowledge of or the ability to use a wide range of data analytics methods and machine learning (including but not limited to deep learning) and data wrangling techniques, e.g. random forests, support vector machines, and (convolutional/recurrent/deep) neural networks);
• Experience with at least one machine learning toolkit (Scikit-learn, Mahout, SparkML, Caffe, Tensorflow, R, KNIME, ...) and Matlab/Octave;
• Knowledge of one general-purpose programming language such as Java, C#, C++;
• A mathematical and statistical mind with a touch of “Data Intuition”;
• Communication and Data Visualisation skills are a plus.

You are

• Passionate about the technology of machines and vehicles;
• Creative;
• A good communicator;
• An active listener who can build sustainable relationships.

Offer

• Flanders Make offers you the opportunity to develop yourself in a network of top industry players, universities and research institutes;
• An energetic, flexible and challenging working environment;
• A warm and open-minded atmosphere;
• Top colleagues that are expert in their domains opening doors for fruitful collaborations and learning;
• An attractive salary with fringe benefits.

Depending on your place of residence or preference, you can work in our offices in Leuven, in Lommel or in Kortrijk (flexible workplace policy).