Syensqo is all about chemistry. We’re not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together. This is where our true strength lies. In you. In your future colleagues and in all your differences. And of course, in your ideas to improve lives while preserving our planet’s beauty for the generations to come.

 

 

We are looking for:

At Syensqo, we are scientific explorers pursuing breakthroughs that advance humanity. We are committed to creating advanced, sustainable solutions that drive growth and protect our planet. Our innovative culture fosters an inclusive and fair environment, valuing diverse perspectives and encouraging a passion for performance. We are seeking a motivated and innovative intern to join the Polymer Physics team. This internship offers a unique opportunity to work on cutting-edge projects involving machine learning, microscopy, and data aggregation to enhance our understanding of composite structure-property relationships.

We count on you for:

The internship will focus on two main projects:

 

Machine Learning for Optical Micrograph Characterization

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.\

Data Aggregation and Machine Learning for Polymer Properties:

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.

 

You can count on us for:

Be part of and contribute to a once-in-a-lifetime change journey Join a transversal and dynamic team Opportunities for growth and learning Encouraging a diverse and inclusive workplace culture that values and respects individual differences and backgrounds

You will bring:

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.

 

You will get:

Competitive hourly salary Gain hands-on experience in a dynamic and innovative environment. Contribute to projects that have a real impact on sustainability and technological advancement. Work alongside experienced professionals dedicated to fostering your growth and development.
 

 

About us

Syensqo is a science company developing groundbreaking solutions that enhance the way we live, work, travel and play. 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. Our solutions contribute to safer, cleaner, and more sustainable products found in homes, food and consumer goods, planes, cars, batteries, smart devices and health care applications. Our innovation power enables us to deliver on the ambition of a circular economy and explore breakthrough technologies that advance humanity. At Syensqo, we seek to promote unity and not uniformity. We value the diversity that individuals bring and we invite you to consider a future with us, regardless of background, age, gender, national origin, ethnicity, religion, sexual orientation, ability or identity. We encourage individuals who may require any assistance or accommodations to let us know to ensure a seamless application experience. We are here to support you throughout the application journey and want to ensure all candidates are treated equally. If you are unsure whether you meet all the criteria or qualifications listed in the job description, we still encourage you to apply. As you may already know, Syensqo is the newly established standalone company resulting from the recent spin-off of Solvay. While both organizations are in the process of finalizing the transition, some email communications related to your recruitment process may continue to come from Solvay.

 

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