Your Job:

• Development of a one-dimensional physics-informed neural network (1D PINN) to model liquid–liquid separation processes
  
• Integration of the 1D PINN model into an existing state-estimation framework
  
• Extension of existing 0D lumped PINN and mechanistic models and direct comparison with these approaches
  
• Investigation of different separation geometries and analysis of how temperature, phase fraction, and phase heights influence separation efficiency
  
• Access to a 1D mechanistic model for generating synthetic data
  
• Availability of experimental data from a gravity settler provided by a partner institute
  
• Supervision from both chemical engineering and machine learning experts, ensuring strong interdisciplinary guidance

Your Profile:

• Current Master`s student in Process Systems Engineering, Computational Engineering Science, Chemical Engineering or a comparable course of study
  
• Previous experience with programming in Python
  
• Experience in modeling, simulation or machine learning
  
• Fluent / good knowledge of written and spoken English
  
• High degree of independence, motivation and reliability / independent and analytical working style
  
• Very reliable and conscientious style of working
  
• Excellent ability to cooperate and work in a team

Our Offer:

We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with:

• PRACTICAL RELEVANCE: With us, you will gain valuable practical experience alongside your studies and actively participate in interdisciplinary projects
  
• ONBOARDING & TEAMWORK: You can look forward to working in a dedicated, international, and collegial team. It is important to us that you quickly settle into the team and are given structured training for your tasks. We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide: go.fzj.de/welcome
  
• SCIENTIFIC ENVIRONMENT: You can expect excellent scientific equipment, modern technologies, and qualified support from experienced colleagues
  
• SUPPORT: Qualified support through your scientific colleagues
  
• PERSONAL RESPONSIBILITY: You organize your tasks independently—from preparation to implementation
  
• FLEXIBILITY: Flexible working hours make it easier for you to balance work and study
  
• FAIR REMUNERATION: We will pay you a reasonable remuneration for your thesis
  
• CAMPUS EXPERIENCE: Our research campus in the countryside creates ideal conditions for collegial exchange and sporting activities right on site. Our cafeteria offers a wide range of options—you can enjoy a relaxing lunch break with a lake view
  

The position is initially for a fixed term of 3-9 months

In addition to exciting tasks and a collegial working environment, we offer you much more: go.fzj.de/benefits

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.

Further information on diversity and equal opportunities: go.fzj.de/equality and on specific support options: go.fzj.de/womens-job-journey

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.