Masterand (m/f/d)

Clariant; München; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

Clariant is seeking a Student (M/F/D) to undertake a Master Thesis in Applied Catalyst Technology. You will analyze kinetic data and enhance modeling techniques while collaborating with experts in a diverse work environment that values innovation and sustainability. This internship offers attractive remuneration and the chance to significantly impact Clariant's manufacturing processes.

Leistungen

International and diverse work environment

Attractive remuneration and modern company benefits

Qualifikationen

• Bachelor’s degree in Chemical Engineering, Chemistry, Energy / Process Engineering or related field.
• Experience with simulation environments like gPROMS, Python, or Matlab.
• Understanding of chemical reaction kinetics and catalytic processes.

Aufgaben

• Analyze historical experimental data and develop kinetic models.
• Collaborate with Modeling and R&D experts on catalyst performance.
• Develop a machine learning model using neural networks.

Kenntnisse

Chemical reaction kinetics

Collaboration

Machine learning techniques

Python

gPROMS

Ausbildung

Bachelor's degree in Chemical Engineering, Chemistry, or related field

Tools

Matlab

Aspen Plus

Jobbeschreibung

Job ID: 40299 | Location: Munich, Bavaria, Germany

We are looking for a Student (M/F/D) to work on a Master Thesis in our Applied Catalyst Technology (ACT) Modelling team based in Munich.

Here, you will be active in analyzing historical experimental data and developing improved kinetic models. This project will involve collaboration with Modelling and R&D experts in Clariant to evaluate and enhance our understanding of catalyst performance.

Responsibilities

• Assess historical data of kinetic experiments performed at laboratory-scale
• Develop and fit first-principle kinetic rate expressions using gPROMS in a fixed-bed reactor
• Develop a machine learning-based model using neural networks to benchmark traditional first-principle rate equations
• Compare both modeling approaches (first-principle and machine learning)
• Implement a simplified model of the industrial process and validate it against actual plant data
• Identify limitations in the existing data and propose a model-based Design of Experiments (DOE) to improve kinetic understanding

Requirements

• You have Bachelor’s degree in one of the following disciplines: Chemical Engineering, Chemistry, Energy / Process Engineering, or a related field
• You have initial experience in using simulation environments such as gPROMS, Python, Matlab or Aspen Plus
• You have a good understanding of chemical reaction kinetics and catalytic processes
• Experience with machine learning techniques and neural networks is advantageous
• You demonstrate a strong sense of initiative and ownership, taking charge of tasks whilst also collaborating effectively within a team environment

Our Offer

• A work field where pioneering is possible, setting the ground for the future of the digitalization of our manufacturing processes
• An interesting and challenging project that creates a significant impact for Clariant BU Catalyst’s manufacturing processes
• An international, interdisciplinary and diverse work environment where your contribution really counts!
• An attractive remuneration and benefits of a modern company

Your Contact
Magdalena Viegas Talent Acquisition Specialist Tel. [phone]

Clariant is a Swiss-based global specialty chemicals company, which is concentrated and developed in three business units: Care Chemicals, Catalysts and Adsorbents & Additives. Our purpose as a company is reflected in our tagline "Greater chemistry - between people and planet", which considers the principles of customer, innovation and people orientation, as well as a focus on creating solutions to foster sustainability in different industries by offering high-value and high-performance chemical specialties.

At Clariant, we believe that diversity, equity and inclusion are essential to our success. We strive to cultivate a workplace where all employees feel welcomed, respected, supported, and valued. Our diverse workforce allows us to tap into a wealth of perspectives, experiences, and capabilities that drive innovation. We are committed to ensuring equal opportunities for professional growth and advancement across all levels of the organization, based on objective criteria and regardless of gender, gender identity, race, ethnicity, religion, protected veteran status ,age, disability, sexual orientation or other aspects of diversity in accordance with the relevant governing laws. By bringing together talented individuals with diverse backgrounds and viewpoints, we gain the agility to meet the evolving needs of our global customers and communities. Join our team to help advance our mission of fostering a culture of belonging where everyone can thrive.

• Learn more about Clariant
• Follow us on Facebook , Instagram ,LinkedIn ,Xand YouTube
• Read more about our commitment for people -download our Employment Standards Brochure