Deadline:
As soon as possible
Location(s)
Spain
Tarragona
Overview
Details
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
We are seeking a highly motivated and talented Intern to join our team and assist in the development of predictive models for the mechanical properties of polyethylene multilayer films. As an intern, you will have the opportunity to work closely with our team of experts in the field and gain hands-on experience in applying machine learning techniques to real-world challenges.
Responsibilities
- Retrieve data from various databases using SQL queries and ensure efficient data acquisition and integration.
- Clean, preprocess, and curate the data, handling missing values, outliers, and performing necessary transformations.
- Conduct exploratory data analysis to identify the most relevant variables for predicting mechanical properties.
- Implement feature engineering techniques, such as dimensionality reduction, feature selection, and creation of new features.
- Develop and train machine learning models using libraries like scikit-learn, TensorFlow, or Keras.
- Fine-tune hyperparameters of the models to optimize performance.
- Evaluate and analyze model results, interpret outputs, and present findings effectively.
- Collaborate with domain experts and team members to gather insights and improve model accuracy.
- Stay updated with the latest advancements in machine learning and contribute to the team's knowledge sharing initiatives.
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.
Opportunity is About
Eligibility
Candidates should be from:
Description of Ideal Candidate
Qualifications
- Currently pursuing a master's degree in chemical engineering, Mechanical Engineering, Computer Science, Data Science, or any related field.
- Programming skills with Python, R or similar.
- Strong analytical and problem-solving abilities.
- Effective communication and teamwork skills.
- You are fluent in English. German language or other foreign language is a plus.
- You are available to start between June and September 2024 for a period of 6 to 9 months (exact duration will be discussed based on the availability).
Preferred Skills
- Strong foundation in machine learning algorithms, including regression, classification, and feature selection.
- Proficiency in SQL for data retrieval and manipulation from databases.
- Experience with data cleaning, preprocessing, and feature engineering techniques using Python or similar tools.
- Familiarity with machine learning libraries and frameworks such as scikit-learn, TensorFlow, or Keras.
- Knowledge of hyperparameter tuning techniques to optimize model performance.
- Basic understanding of statistics for result validation and interpretation.
Dates
Deadline: As soon as possible
Cost/funding for participants
Un-save Opportunity
Internships, scholarships, student conferences and competitions.
