Data Scientist

Job title:

Data Scientist

Company

Job description

Offer DescriptionYou 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 processesAs 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 life case;
• 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 technologyYou 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.

Offer

• A challenging job, working with experts in various fields, using state-of-the-art infrastructure for e.g., computer vision, predictive control, data analytics, software prototyping…;
• An open company culture with short communication lines;
• A multi-stakeholder research context;
• An enthusiastic, international team.

Example projectWhere to apply WebsiteRequirementsResearch Field Computer science Years of Research Experience NoneResearch Field Computer science Years of Research Experience NoneResearch Field Computer science Years of Research Experience NoneAdditional InformationWebsite for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Flanders Make Country Belgium City Heverlee Postal Code 3001 Street Gaston Geenslaan 8, 3001 Leuven GeofieldContact CityHeverlee WebsitePostal Code3001STATUS: EXPIREDShare this page

Expected salary

Location

Heverlee, Vlaams Brabant

Job date

Wed, 30 Oct 2024 04:17:30 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (jobsnear.net) you saw this job posting.