Data Analyst Engineer Job in Lommel, Belgium

Over Flanders Make

Naar een digitaal getransformeerde, duurzame en concurrerende industrie

Flanders Make is een snelgroeiend onderzoekscentrum dat bedrijven uit verschillende sectoren ondersteunt bij hun duurzame innovatietrajecten. Vanuit onze vestigingen in Lommel, Leuven, Kortrijk en Sint-Truiden en labo’s bij de 5 Vlaamse Universiteiten stimuleren we open innovatie door middel van excellent onderzoek.

Door onze unieke positie als brug tussen bedrijfsleven en onderzoek combineren onze teams vakkundigheid op applicatie- en systeemniveau met technologische en wetenschappelijke kennis. Academische partners en meer dan 150 bedrijven maken deel uit van het innovatieve circulaire ecosysteem van Flanders Make.

Onze strategie gebaseerd op industriële noden en langetermijntrends verzekert een nauwe aansluiting bij de industrie en haar uitdagingen. Met ons geprogrammeerd onderzoek creëren we impact in bedrijven.

Duurzaamheid, klimaat en werkbaar werk hebben een hoge prioriteit in ons onderzoek. We willen bedrijven helpen bij de ontwikkeling van duurzame, groene, slimme en geconnecteerde producten en productiesystemen, met bijzondere aandacht voor de mens en zijn interactie met machines.

Getuigenissen

"Bij onderzoek heb je de tijd en de mogelijkheid om je projectteam met hun ideeën te laten spelen. Samen kunnen jullie zoeken naar wat zou kunnen werken. Ik werkte vroeger als technisch expert, en dan ga je steeds dieper op de inhoud in. Nu, als projectmanager, ben ik altijd bezig met meerdere dingen tegelijk. Die variatie is verfrissend, daar hou ik echt van." (Diana, Technisch Projectmanager @ Flanders Make sinds 2019)
https://www.flandersmake.be/nl/jobs/werken-bij-flanders-make/getuigenis-diana

Onze infrastructuur
In onze labo’s staan vele nieuwe prototype machines en worden er maandelijks nieuwe opgebouwd. Hiermee tonen we aan bedrijven wat de technologie van de toekomst is.

https://www.flandersmake.be/nl/testen-validatie/productie-optimalisatie
https://www.flandersmake.be/nl/testen-validatie/product-validatie

About Flanders Make
Towards a digitally transformed, sustainable and competitive industry

Flanders Make is a fast-growing research centre that performs research to support companies from various sectors in their sustainable innovation processes. From our establishments in Lommel, Leuven, Kortrijk and Sint-Truiden and labs within the 5 Flemish universities, we stimulate open innovation through excellent research.

Because of our unique position as a bridge between industry and research, our teams combine application and system proficiency with technological and scientific knowledge. Academic partners and more than 150 companies are part of the innovative circular ecosystem of Flanders Make.

Our strategy based on industrial needs and long-term trends ensures a close link with the industry and its challenges. With our programmed research, we create impact in companies.

Sustainability, climate and workability have a high priority in our research. We want to help companies in developing sustainable, green, smart and connected products and production systems, with a special focus on people and their interaction with machines.

Testimonials

“In research, you have the time and the opportunity to let your project team play with their ideas. Together you can search for what might work. I used to work as a technical expert, but then you go deeper and deeper into the content. Now, as a technical project manager, I am busy with several things at the same time. That variety is refreshing, I really like that.” (Diana, Technical project manager since 2019 @ Flanders Make)
https://www.flandersmake.be/en/jobs/working-at-flanders-make/testimonial-diana

Our infrastructure
Our labs feature many new prototype machines and new ones are being built every month. We use them to demonstrate the technology of the future to companies.
https://www.flandersmake.be/nl/testen-validatie/productie-optimalisatie
https://www.flandersmake.be/nl/testen-validatie/product-validatie

Data Analyst Engineer Job Description

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.

Data Analyst Engineer Job Requirements

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

Data Analyst Engineer Application Information

Please apply with your CV and cover letter by the 'apply' button below

Remember - you found this opportunity on Qreer.com

Data Analyst Engineer Summary

Apply