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Polymer Physics Intern

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Syensqo

28d ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Research & Development
  • Alpharetta

AI generated summary

  • You should be pursuing a relevant degree, possess basic Python skills, know image processing, have strong analytical abilities, and communicate well both independently and in a team.
  • You will analyze optical micrographs, apply Python for feature extraction, develop machine learning models for polymer properties, collaborate with teams, and present findings.

Requirements

  • Currently pursuing a degree in Computer Science, Data Science, Materials Science, or a related field.
  • Basic programming skills in Python.
  • Familiarity with image processing and data aggregation techniques.
  • Excellent analytical and problem-solving skills.
  • Ability to work independently and collaboratively in a team environment.
  • Strong communication skills, both written and verbal.

Responsibilities

  • Develop and implement a process to interpret high-resolution optical micrographs.
  • Focus on identifying and quantifying interlaminar features using Python.
  • Tasks include image preprocessing, feature extraction, and parameter estimation.
  • Apply machine learning to predict initial guess parameters for automated measurements, streamlining the existing method.
  • Aggregate data from scientific literature, internal databases, and molecular simulations.
  • Collaborate with experimental scientists to understand legacy data structures.
  • Curate and preprocess data to ensure quality and relevance for training.
  • Develop and fine-tune a machine learning model to predict polymer properties such as Tg, density, and mechanical properties.
  • Collaborate with cross-functional teams to understand project requirements and objectives.
  • Utilize Python and machine learning techniques to develop innovative solutions.
  • Conduct data analysis and visualization to support project goals.
  • Document processes and findings, ensuring transparency and reproducibility.
  • Present project progress and results to team members and stakeholders.

FAQs

What kind of projects will I be working on as a Polymer Physics Intern?

As a Polymer Physics Intern, you will be working on two main projects: 1) Machine Learning for Optical Micrograph Characterization, and 2) Data Aggregation and Machine Learning for Polymer Properties, which involve various tasks such as image preprocessing, feature extraction, and developing machine learning models.

What qualifications are required for this internship?

Applicants are required to be currently pursuing a degree in Computer Science, Data Science, Materials Science, or a related field, along with basic programming skills in Python and familiarity with image processing and data aggregation techniques.

Will I receive any compensation for this internship?

Yes, you will receive a competitive hourly salary during your internship.

Is previous experience in machine learning necessary?

While previous experience in machine learning is beneficial, it is not strictly necessary. A basic understanding and willingness to learn are encouraged.

What skills are important for this role?

Important skills for this role include excellent analytical and problem-solving skills, proficiency in Python, and strong communication skills, both written and verbal.

How will I be supported in my learning and development during the internship?

You will gain hands-on experience in a dynamic and innovative environment and work alongside experienced professionals who are dedicated to fostering your growth and development.

What is the company culture like at Syensqo?

Syensqo fosters an innovative culture that values diversity, inclusivity, and collaboration, encouraging individual differences and promoting a passion for performance.

How can I present my project progress during the internship?

You will have the opportunity to present project progress and results to team members and stakeholders, which will be part of your responsibilities.

Are there opportunities for growth after the internship?

Yes, there are opportunities for growth and learning, as Syensqo values and encourages the development of its interns.

What is the work environment like for this internship?

The work environment is dynamic and collaborative, involving transversal teamwork with cross-functional groups.

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Syensqo

We are Syensqo, explorers who achieve breakthroughs that advance humanity.

Manufacturing & Electronics
Industry
10,001+
Employees
2023
Founded Year

Mission & Purpose

Syensqo is a leading science company whose ground-breaking technologies revolutionize the way we live. Our purpose is to advance human progress while cultivating a future for our planet that is not only safer and cleaner, but also inherently more sustainable, driven by the principles of circular economy. Our disruptive, market-leading solutions address fundamental megatrends. We play a key role in the future of clean mobility and bring about breakthroughs in biotechnology, natural ingredients, and circular solutions, contributing to sustainable, high-performance products for homes, food and consumer goods, planes, cars, smart devices, and healthcare applications. Inspired by the scientific councils, which Ernest Solvay initiated in 1911, we bring great minds together to push the limits of science and innovation for the benefit of our customers, with a diverse, global team of more than 13,000 associates in 30 countries.