Dow recrute
https://corporate.dow.com/en-us/careers/jobs/position.R2046969Description de l'offre
Do you want to join Dow’s digital innovation journey? We are seeking Master and/or Ph.D. students interested to complement their primary expertise with Digital Internship in Seneffe (Belgium). You will be integrated in one of Dow’s key functions – Research and Development. You will work with a cross-functional team whose high-level goal is to accelerate the digital evolution of a global leader in the materials industry. You will bring your skills and experience to work with a group of domain experts to accelerate delivery of high priority projects.
Project Description:
Dow Coating Materials & Beyond has launched PaintVision™, an online platform to support our customers by Paint performance driven Product Selector and Virtual Paint Formulator. The platform extends beyond customer interaction to include internal R&D data acquisition. At the same time Dow researchers spend much of their time for framing the research information from testing results related to their work. The ability to shape this information quickly and easily is critical to meet ever tightening project timelines. The focus of this work will be on the new Imaging station with the ultimate objective to automation for plotted data from existing algorithms for standardized the image collection and analysis.
The specific opportunities, including project type, geography, and timing, are variable and detailed below.
Required Qualifications:
Currently enrolled in a MSc. or Ph.D. degree in Chemical Engineering, Mechanical Engineering, Material Science, Polymer Science, Computer Science, Mathematics, Operations Research, Data Science, or other related disciplines.
Educated with data science techniques such, machine learning, its applicability to industry, and potential for value creation.
Experience in image analysis algorithms and lab automation is a plus.
Proficient in English.
Preferred Skills:
Demonstrate competency in computer science, data analytics, and/or machine learning.
Able to work independently but also in teams.
Great time-management skills and ability to work under tight deadlines.
Effective communicator organized and responsive.
Able to quickly assimilate and understand technology, out-of-box thinker.
Complément d'information
Additional Information:
Legally entitled by EU citizenship or by a valid VISA to work in the project country.
The project duration could be from 4-6 months (exact duration to be discussed).
This internship could be part, but not necessary, of a graduating school assignment. Working hours will be the local and legal equivalent of a full-time employee.
Personne de contact
Nom :Teja Bajde Smrkolj
Email :feuhrta@dow.com
Tél. :+31115673149