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Paid Internship
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Required Degree
Duration

46177Open Positions

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Campus Internship 2025-2026 - Advanced Digital Internship in Science and Engineering (ADISE)

Dow
Found 1 hour ago
Location
Terneuzen, Netherlands
Duration (Months)
5.5 Months
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 hour ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • chemical engineering
  • materials science
  • chemistry
  • polymer science
  • theoretical modeling
  • operations management
  • industrial engineering
  • data science techniques
  • machine learning
  • predictive modeling
  • computer science
  • data analytics
  • statistics

Soft Skills

  • Able to work independently but also in teams
  • Able to quickly assimilate and understand technology
  • out-of-box thinker

Job Description

We are seeking ambitious Bachelor's and Master's students interested in complementing their primary expertise with a digital internship in Terneuzen, the Netherlands. We are seeking candidates who have expertise in computer science, analytics, machine learning, and/or other dimensions of data sciences, in addition to expertise in chemical engineering, materials science, chemistry, polymer science, theoretical modeling, operations management, and/or industrial engineering. 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. Goals of the project(s) could include delivering breakthrough sustainable chemistry innovations; advancing on a circular economy; producing better and safer materials; optimizing products and processes to reduce carbon footprint; optimizing planning, scheduling, and value chain to a greener chemistry; and other areas to help Dow reaching ambitious sustainability goals. Responsibilities Develop and implement automated, integrated digital solutions to improve data integrity, accessibility, and alignment with corporate transformation goals. Modernize workflows and enhance security through internally hosted applications that streamline data processing and improve accuracy. Work on advanced AI-driven approaches to accelerate the development of automated analytical methods including developing a web‑based application for managing and visualizing process data.

Requirements

  • Currently pursuing a bachelor's or master's degree program in Computer Science, Data Science, Mathematics, Software Engineering, Chemistry, Chemical Engineering, Material Science, Polymer Science or other related disciplines.
  • Good working knowledge of English.
  • Expertise in chemical engineering, materials science, chemistry, polymer science, theoretical modeling, operations management, or other industrial engineering
  • Educated with data science techniques such as machine learning, predictive modeling, its applicability to industry, and potential for value creation
  • Demonstrate competency in computer science, data analytics, and/or machine learning
  • Basic understanding of statistics
  • Able to work independently but also in teams
  • Able to quickly assimilate and understand technology, out-of-box thinker

Related Field

  • Software Engineering

Related Subfield

  • Software QA & Testing

Languages

  • English

Nice to Haves

  • digital innovation
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