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

Forschungszentrum Jülich
Jülich, Germany
10 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Jülich, Germany

Tech stack

Artificial Intelligence
Artificial Neural Networks
Computer Programming
Image Analysis
Machine Learning
Information Technology

Job description

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.

Requirements

Do you have experience in Machine learning?, Do you have a Master's degree?, * 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

Benefits & conditions

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

About the company

Conducting research for a changing society: This is what drives us at Forschungszentrum Jülich. As a member of the Helmholtz Association, we aim to tackle the grand challenges of our times. How can we make a success of the energy transition and mitigate the effects of climate change? What challenges are emerging due to the increasing digitization of our society? Will we succeed in understanding the human brain? And how can we facilitate the transition to a bio-based sustainable economy? Come and work with us at our scientific institutes, in our technical or administrative infrastructure, or in research management alongside roughly 6,800 colleagues at one of Europe’s biggest research centres and help make a contribution to solving societal challenges. Help us to shape change!

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