Research Group Leader for Image Analysis & Machine Learning at Forschungszentrum Jülich GmbH (Aachen, Deutschland)

The development of complex materials with tailored properties as well as the understanding of the underlying mechanisms require an integrative combination of data analytics and material characterization with theory, simulation, and research data management. In particular, for computer-aided analysis of (image) data from electron microscopy, artificial intelligence methods such as Deep Learning (DL) offer excellent potential. The multidisciplinary Institute for Advanced Simulations – Materials Data Science and Informatics (IAS-9) combines disciplines ranging from data analysis and materials simulation to research data management and software development under one roof. Together with the Ernst Ruska-Center for Microscopy and Spectroscopy with Electrons (ER-C), IAS-9 is establishing a “Simulation and Data Science Lab for Electron Microscopy” where one focus is on computational image analysis and AI-based data science for electron microscopy. Here, the work at Forschungszentrum Jülich benefits from a unique infrastructure with a wide range of disciplines and from an interdisciplinary, data-intensive research environment. In particular, a close connection to the “Helmholtz Imaging Platform” (HIP), the “Helmholtz Metadata Collaboration Platform” (HMC) and the “Helmholtz Artificial Intelligence Cooperation Unit (HAICU)” as well as the close interaction with the Jülich Supercomputing Centre (JSC) offer unique opportunities for new synergies between characterization, data analytics and simulation.

We are looking to recruit a

Research Group Leader for Image Analysis and Machine Learning in Electron Microscopy

Your Job:

• Development and application of methods, algorithms and software tools, e.g. for reconstruction of 3D / 4D image data, multimodal or multi- / high-dimensional data analysis, denoising or impainting, high throughput data mining and characterization, adaptive sampling, coupling of simulation or DL models and experiment
• Establishment and coordination of a research group within the thematic spectrum of the “Simulation and Data Science Lab for Electron Microscopy”
• Identification and further development of future research questions and scientific topics in the context of artificial intelligence methods
• Participation in cross-center, Helmholtz-wide activities in the field of data-driven material characterization
• Supervision of student research projects and theses

Your Profile:

• We welcome applications from candidates with a completed university degree (Master) and a doctorate in mathematics, materials science, physics, data science, computer science or a related subject
• Research experience in the area of general data analysis and machine learning / deep learning demonstrated through, e.g., the dissertation or publications in peer-reviewed journals
• Very good practical experience in image analysis and ML / DL, if possible in the field of microscopy (TEM, SEM, STEM, and related)
• Very good practical programming expertise (e.g., Python, Java, Julia, R, C / C++) and related libraries as well as solid experience in high performance computing and open source software development
• Leadership and organizational skills
• Ability to work in a committed and independent manner with flexibility and open-mindedness for new challenges

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
• A creative work environment at a leading research facility, located on an attractive research campus at the Technologiezentrum Aachen and the Forschungszentrum Jülich
• The opportunity to strengthen your reputation in a dynamic and highly active research field
• Comprehensive training courses and individual opportunities for personal and professional further development
• Extensive company health management
• The opportunity to attend national and international conferences
• Flexible working hours and various opportunities to reconcile work and private life, such as the option of slightly reduced working hours and 30 days of annual leave
• Targeted services for international employees, e.g. through our International Advisory Service

The position is initially fixed for a term of 4 years, with the possibility of a permanent employment contract. Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD). Depending on the applicant`s qualifications and the precise nature of the tasks, salary grade EG 13–14 TVöD-Bund.

Your application documents should include a scientific CV, a cover letter and a personal statement as well as the names of two referees.

Place of employment: Aachen

Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations.

We also welcome applications from disabled persons.

We look forward to receiving your application until 18.04.2021 via our Online Recruitment System!

Questions about the vacancy?

Get in touch with us by using our contact form.

Please note that for technical reasons we cannot accept applications via email.

www.fz-juelich.de