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Master thesis - Development of machine learning models to analyze magnetometry data

Master thesis - Development of machine learning models to analyze magnetometry data

Master thesis - Development of machine learning models to analyze magnetometry data

Master thesis - Development of machine learning models to analyze magnetometry data

Forschungszentrum Jülich GmbH

Erziehung, Bildung, Wissenschaft

Jülich

  • Art der Beschäftigung: Vollzeit
  • Vor Ort
  • Zu den Ersten gehören

Master thesis - Development of machine learning models to analyze magnetometry data

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Master thesis - Development of machine learning models to analyze magnetometry data

At the Jülich Centre for Neutron Science – Quantum Materials and Collective Phenomena (JCNS-2), we develop and use scattering methods to determine structural and magnetic order and excitations in novel quantum, nano and functional materials in order to achieve an understanding of macroscopic properties and functionalities. In the field of "Nanomagnetism”, we are investigating how nanoscopic magnets can be used for information technology and nanomedicine.
Application tips & FAQs
Information on the application process and an overview of FAQs can be found here

Your Job:

Machine Learning (ML) and artificial intelligence (AI) based on neural networks are currently reshaping all aspects of society. In several areas, such as medicine, AI-based tools are already routinely used. E.g. AI-assisted medical image analysis of CT or MRI images helps to improve the diagnosis and efficiency of medical treatments . Also in material science increasingly AI-based tools emerge. Here, a new frontier is the implementation of physical laws into the neural network. In this project you will have the opportunity to work in this extremely rapidly growing field.

Your tasks include:

  • Performing numerical simulations of magnetic systems to generate magnetometry data for the ML training process,
  • Implementing and testing various neural network architectures to optimally analyze magnetometry data.

Your Profile:

  • You are studying computer science, physics, chemistry, materials science, nanoscience or a related subject at a university
  • You have an interest and ideally also knowledge in the field of solid state physics, magnetism, programming, may be even machine learning and neural networks.
  • Independent and responsible way of working, commitment, high degree of teamwork, as well as enjoyment of cooperative collaboration
  • You have a very good command of written and spoken English

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:

  • MEANINGFUL TASKS: Your thesis deals with a future-oriented, socially relevant topic with direct practical relevance in an international environment
  • PRACTICAL RELEVANCE: With us, you will gain valuable practical experience alongside your studies and actively participate in interdisciplinary projects
  • SCIENTIFIC ENVIRONMENT: You can expect excellent scientific equipment, modern technologies, and qualified support from experienced colleagues
  • PERSONAL RESPONSIBILITY: You organize your tasks independently—from preparation to implementation
  • 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: https://go.fzj.de/welcome
  • WORK-LIFE BALANCE: We offer flexible working hours to help you balance your professional and personal life. You also have the option of flexible working (in terms of location), which is generally possible after consultation and in line with upcoming tasks and (on-site) appointments

In addition to exciting tasks and a collegial working environment, we offer you much more: https://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.

The following links provide further information on diversity and equal opportunities: https://go.fzj.de/equality and on specific support options: https://go.fzj.de/womens-job-journey

We look forward to receiving your application. The job will be advertised until the position has been successfully filled. You should therefore submit your application as soon as possible.

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Last Modified: 05.02.2026

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Forschungszentrum Jülich GmbH

Erziehung, Bildung, Wissenschaft

5.001-10.000 Mitarbeitende

Jülich, Deutschland

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