We are looking to recruit a

PhD-position - Data Mining, Inference, Prediction and Simulation in Semiconductor material


The multidisciplinary Institute for Advanced Simulation - Materials Data Science and Informatics (IAS-9) brings together disciplines ranging from data analysis and machine learning to materials simulation, research data management and software development under one roof. In doing so, we extract new information from simulations and experiments, identify patterns, structure, and trends in microscopy data, and ultimately improve our understanding of why materials, processes, or general systems work the way they do. To do this, we use a wide range of different methods, from classical statistical analysis through machine learning to method of artificial intelligence. One focus of our research activity is on data mining and high-throughput/on-the-fly analysis of microscopy data, but we are equally enthusiastic when it comes to other data, for example for extending classical simulations with data-based models. In many cases, "injecting" scientific domain knowledge into machine learning models is an important amplifier for the models we develop.

Institute issuing the offer
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Your Job:

You will strengthen the data science and machine learning activities of the IAS-9 with exciting new topics. You will work in a multidisciplinary team of enthusiastic data scientists, software developers and domain scientists on, e.g.,

  • Development and adaption of existing data mining and machine learning models
  • Design and implementation of machine learning algorithm for extracting information from experiment data
  • Evaluation and development of specialized and/or interpretable machine learning approaches for the domain of materials science, physics, microscopy
  • Incorporation of machine learning results with simulation methods
  • Working on project-related tasks where you can interact with other scientists, and collaborate with project partners
  • Preparation of scientific publications and participation in international conferences and workshops

Your Profile:

We are looking for a highly motivated colleague who is excited about new scientific endeavors with interdisciplinary approaches. For this you have:

  • A completed university degree (Master or equivalent) in data science, computer science, mathematics, materials science, physics or a related subject (or comparable proven experiences)
  • Practical experience in the area of data analysis, data mining and ML/DL demonstrated through, e.g., a thesis, publications in peer-reviewed journals or open source projects
  • Strong programming skills in python and experience with deep learning frameworks (e.g., pytorch, …)
  • Prior knowledge and experience with microscopy, topography or crystallographic defects is highly desirable
  • Prior knowledge and experience with FEM software (e.g. FENICS, …) is highly desirable
  • Structured and analytical thinking as well as a systematic, careful, independent, and reliable working method
  • Excellent communication skills and commitment to work as part of 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 offer ideal conditions for you to complete your doctoral degree:

  • The opportunity to conduct exciting research in an international and multidisciplinary environment with outstanding infrastructure
  • A creative work environment at a leading research facility, located on an attractive research campus at the TZA Aachen https://go.fzj.de/TZA and the Forschungszentrum Jülich
  • The opportunity to attend national and international conferences
  • Extensive company health management
  • Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy
  • Flexible working hours, the option of slightly reduced working hours
  • Continuous mentoring from your scientific supervisor
  • 30 days of annual leave and provision for days off between public holidays and weekends (e.g. between Christmas and New Year)
  • Opportunity to develop your strengths, e.g. through a comprehensive training programme; a structured programme including continuing professional development and networking opportunities specifically designed for Jülich’s doctoral researchers by the Jülich Center for Doctoral Researchers and Supervisors (JuDocS): https://go.fzj.de/JuDocs

In addition to exciting tasks and the collaborative working atmosphere at Jülich, we have a lot more to offer (https://www.fz-juelich.de/en/careers/julich-as-an-employer/benefits).

The position is initially for a fixed term of 3 years but with the prospect of longer-term employment. The salary is in line with pay group 13 (75 %) of the Collective Agreement for the Public Service (TVöD-Bund). In addition, an annual special payment is granted (“Christmas payment”), which amounts to 60 % of the monthly salary. Further information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd.

Place of employment: Jülich/Aachen

We particularly welcome applications from people from a diverse range of backgrounds (e.g. regardless of age, gender, disabilities, sexual orientation/identity, as well as social, ethnic, and religious background). We strive to offer a diverse and inclusive working environment in which people enjoy equal opportunities and are able to fulfill their potential.

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.

Apply now

Questions about the offer?

Please feel free to contact us via our contact form.
Please note that for technical reasons we cannot accept applications by e-mail.

You can find helpful information on the application and selection process here. You can also find answers to frequently asked questions in our FAQs.

Last Modified: 09.07.2024