We are looking to recruit a

Postdoc - Data Mining, Inference, and Prediction in Science and Engineering


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
  • Evaluation and development of specialized and/or interpretable machine learning approaches for the domain of materials science, physics, microscopy
  • Development and application of software, models, and algorithms for, e.g., multimodal or multi-/high-dimensional data analysis, time series analysis and prediction, inverse modeling
  • Coupling and complementing our in-house simulations with Deep Learning models
  • Identification and further development of exciting future research questions and scientific topics in the context of artificial intelligence methods
  • Project-related tasks where you can take the lead, interact with other scientists, and collaborate with project partners
  • Supervision of student research projects and theses
  • 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) and a doctorate in data science, computer science, mathematics, materials science, physics or a related subject (or comparable proven experiences)
  • Extensive research and practical experience in the area of data analysis, data mining and ML/DL demonstrated through, e.g., the dissertation, publications in peer-reviewed journals or open source projects
  • Very good practical programming expertise (e.g., Python, Java, Julia, R, C/C++) and related libraries as well as solid experience in HPC/GPU environments and open source software development demonstrated through, e.g., the dissertation, publications in peer-reviewed journals or open source projects
  • 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
  • Experience in supervising students and doctoral candidates and in managing your own scientific projects
  • Experience with acquisition and administration of research funding

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:

  • The opportunity to conduct exciting research in an international and multidisciplinary environment with outstanding infrastructure
  • The perspective to take over the responsibility for a larger research division
  • 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 strengthen your reputation in a dynamic and highly active research field
  • The opportunity to attend national and international conferences
  • Extensive training opportunities for personal and professional development
  • Flexible working hours in a full-time position with the option of slightly reduced working hours and 30 days of annual leave
  • Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy
  • Targeted services for international employees, e.g. through our International Advisory Service
  • Depending on the type and the scope of the tasks, an additional temporary IT-specialist allowance may be considered

We offer you an exciting and varied role in an international and interdisciplinary working environment. The position is initially for a fixed term of 3 years, with possible long-term prospects. Salary and social benefits will conform to the provisions of the Collective Agreement for the Public Service (TVöD-Bund), pay group 13 - 14, depending on the applicant’s qualifications and the precise nature of the tasks assigned to them.

Place of employment: Aachen

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.

We look forward to receiving your application by 11.12.2022

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.

Last Modified: 16.11.2022