Campus Internship

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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 in Wiesbaden or Ahlen (Germany). 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. 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.

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

Project proposals

Title: Silicone Polymer production data analysis

Description: Dow Performance Silicones has been a global leader in silicone-based technology for more than seventy years with >7000 silicone products in the market. Dow SylgardTM silicone dielectric gels are among the most well-known products offered by Dow Performance Silicones. By possessing properties such as high elongation and low hardness, these gels are widely used for coating, encapsulating, potting, and sealing electronic devices. Quality control on key raw materials used for the gel production is critical to ensure these gel’s consistent high performance. Over the years, there has been a large data library comprising several process steps and their quality test results for the production of these key raw materials. It is envisioned that an in-depth data analysis of this library would be highly beneficial in providing valuable information for both good product quality control and future continuous production improvement. We are looking for a digital intern with outstanding skills with Excel or any other data and statistical analysis programs, general programming skills and hand-on experience to work with large numerical data set

Skills: Prior work experience in data analysis and production. Passion for material and digital sciences. Knowledge of German is a plus.

Location: Wiesbaden, Germany

Title: Develop a Model for predicting non-pneumatic PU wheel performance

Skills: Prior work experience in Matlab coding. Passion for studying relationship of PU chemistry - Physics - Performance.

Location: Ahlen, Germany

**Qualifications**:

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

Key Traits
- 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
- 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

Additional notes

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.

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