2024-2025 Campus Internship - Digital Innovation – Cross-functional (MSc, PhD)

At Dow, we believe in putting people first and we’re passionate about delivering integrity, respect and safety to our customers, our employees and the planet.  

Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. We’re a community of relentless problem solvers that offers the daily opportunity to contribute with your perspective, transform industries and shape the future. Our purpose is simple - to deliver a sustainable future for the world through science and collaboration. If you’re looking for a challenge and meaningful role, you’re in the right place. 

About you and this role

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 one of its European sites Terneuzen (Netherlands), Tarragona (Spain) or other locations depending on availability. You will be integrated in one of Dow’s key functions - Research and Development, Integrated Supply Chain, Operations (M&E), or Information Systems.

Responsibilities

The following projects are available based on interest and availability:

Development of data management and prediction tools for emission measurements, localization Terneuzen

Understanding and managing Volatile Organic Compounds (VOC) emissions is crucial for protecting human health and the environment.

In this project, you will design and implement an automated tool to collect and organize sample information and measurement data from various sources.  You will focus on data visualization and advanced data modeling. Additionally, project will help with setting up a template for improved data management/databasing could allow establishing correlations/modelling between different product formulations/experimental conditions. The results of this project will be leveraged to other Dow sites that are performing similar analysis. With your help we will increase our capabilities in tracking and mitigating VOC compounds. 

Modelling Polymer Properties for Production Optimization, localization Terneuzen

In this project, you will have the opportunity to use machine learning for prediction of polymer properties using experimental data. Your work will involve implementing these models into a tool using powerful modelling and optimization softwares. By driving the automated analysis of polymer properties, you will contribute to improving the efficiency and sustainability of Dow's business. You will be at the forefront of the intersection of AI/ML and chemical science to impact decisions on a large scale.

Develop an Online Screening Tool for Sensory Evaluation, localization Terneuzen

This project is to create a web-based tool to enhance sensory evaluations with advanced data analysis. You will collaborate with the Sensory Science Laboratory to review and model data, impacting data structure and acquisition. Your work will help to identify top panelists and optimize evaluation processes to ensure high-quality, reliable research data.

Developing a Predictive Classifier based on bulk characterization data, localization Terneuzen

This project aims to create a robust classifier to rank samples based on its structural characteristics. It will provide recommendations on developing a classifier using data from R&D programs, employing machine learning and predictive modeling. You will assist in designing a web-based tool, optimizing it with machine learning and modeling to leverage existing data. Your role will include selecting the most promising materials based on this data with the help of ML.

Develop sensor fusion framework to combine text with other type of data for Predicting Unplanned Events, localization Terneuzen.

This project focuses on addressing the occurrence of unplanned events in the chemical manufacturing industry. While predicting these events with certainty is virtually impossible, employing inference techniques allows us to develop methods that can identify the conditions under which such events may occur. By analyzing available process data in different structures and formats, we can predict the probability of these events happening.

Model optimalisation, refine scrubbing process, localization Terneuzen

This project focuses on developing surrogate models for an Amine Scrubbing Process. The goal is to improve existing machine learning models for simulation and optimize process conditions to minimize costs. We will utilize tools such as Tensorflow, Pyomo, and OMLT

Development of a customer facing data-driven formulation platform for packaging applications, localization Tarragona

This project will focus on developing a data-driven tool to innovate packaging solutions by utilizing extensive data from NA and EMEA Pack Studios labs, optimizing lab resources, and enhancing customer satisfaction. This tool will be a key element in helping identify and select optimal packaging film formulations. Your role will focus on analyzing data sets, implementing models, and assisting with interface 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. 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.

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. We are offering project types that span from new capability developments, sustainability and circularity improvements, product and process research, application development, and operations improvements to supply chain optimization.

The specific opportunities, including project type, geography, and timing, are variable and detailed below.

Length of Assignment:

Preferable duration is 6 Months, but other duration could be arranged. 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.

Expected Start:

The anticipated start for internships is in the spring or summer of 2025, depending on the project location.

Qualifications

• Currently enrolled in a MSc. Or Ph.D. degree program in Chemistry, Chemical Engineering, Mechanical Engineering, Material Science, Polymer Science, Computer Science, Mathematics, Operations Research, Data Science, or other related disciplines
• Legally entitled by EU citizenship, by a valid VISA or residence permit, to work in the project country

Your Skills

• Experienced in chemical, polymer, and/or material properties; manufacture and/or customer experience of materials; supply chains around manufacturing; and/or the computing/IT systems needed to accomplish the above.
• Primary expertise in chemical engineering, materials science, chemistry, polymer science, theoretical modeling, operations management, or other industrial engineering
• Educated with data science techniques such, machine learning, its applicability to industry, and potential for value creation
• Demonstrate competency in computer science, data analytics, and/or machine learning.
• Able to work independently but also in teams
• Fluent in English
• 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

Benefits – What Dow offers you 

We invest in you. 
 

Dow invests in total rewards programs to help you manage all aspects of you: your pay, your health, your life, your future, and your career. You bring your background, talent, and perspective to work every day. Dow rewards that commitment by investing in your total wellbeing.  

Here are just a few highlights of what you would be offered as a Dow employee: 

• Equitable and market-competitive base pay and bonus opportunity across our global markets, along with locally relevant incentives. 
• Benefits and programs to support your physical, mental, financial, and social well-being, to help you get the care you need...when you need it. 
• Competitive retirement program that may include company-provided benefits, savings opportunities, financial planning, and educational resources to help you achieve your long term financial-goals. 
  • Employee stock purchase programs (availability varies depending on location).
• Student Debt Retirement Savings Match Program (U.S. only).
  • Dow will take the value of monthly student debt payments and apply them as if they are contributions to the Employees’ Savings Plan (401(k)), helping employees reach the Company match.
• Robust medical and life insurance packages that offer a variety of coverage options to meet your individual needs. Travel insurance is also available in certain countries/locations.
• Opportunities to learn and grow through training and mentoring, work experiences, community involvement and team building. 
• Workplace culture empowering role-based flexibility to maximize personal productivity and balance personal needs. 
• Competitive yearly vacation allowance.
• Paid time off for new parents (birthing and non-birthing, including adoptive and foster parents).  
• Paid time off to care for family members who are sick or injured.  
• Paid time off to support volunteering and Employee Resource Group’s (ERG) participation. 
• Wellbeing Portal for all Dow employees, our one-stop shop to promote wellbeing, empowering employees to take ownership of their entire wellbeing journey.
• On-site fitness facilities to help stay healthy and active (availability varies depending on location).
• Employee discounts for online shopping, cinema tickets, gym memberships and more.
• Additionally, some of our locations might offer:
  • Transportation allowance (availability varies depending on location)
  • Meal subsidiaries/vouchers (availability varies depending on location)
  • Carbon-neutral transportation incentives e.g. bike to work (availability varies depending on location)

Join our team, we can make a difference together.

About Dow

Dow (NYSE: DOW) is one of the world’s leading materials science companies, serving customers in high-growth markets such as packaging, infrastructure, mobility and consumer applications. Our global breadth, asset integration and scale, focused innovation, leading business positions and commitment to sustainability enable us to achieve profitable growth and help deliver a sustainable future. We operate manufacturing sites in 31 countries and employ approximately 35,900 people. Dow delivered sales of approximately $45 billion in 2023. References to Dow or the Company mean Dow Inc. and its subsidiaries. ​​​​Learn more about us and our ambition to be the most innovative, customer-centric, inclusive and sustainable materials science company in the world by visiting www.dow.com.

As part of our dedication to the diversity of our workforce, Dow is committed to equal opportunities in employment.  We encourage every employee to bring their whole self to work each day to not only deliver more value, but also have a more fulfilling career. Further information regarding Dow's equal opportunities is available on www.dow.com.