IAS-9 - Materials Data Science and Informatics

Scientific / postdoctoral posts

Your Job:

You will support IAS-9`s data science and machine learning activities, working in a multidisciplinary team of enthusiastic data scientists, software developers, and domain scientists. Your responsibilities will be:

• Participate in scientific projects from a variety of scientific and engineering research areas with questions in AI, machine learning, and data mining
• Project-based interaction with data-savvy domain scientists
• Consult via a project-based voucher system, a system for the mediation and support of scientific research tandems and a helpdesk for more general questions and problems in the context of ML & AI
• Possibility to conduct your own research in the field of machine learning and AI

Your Profile:

• Completed university degree (master`s degree or equivalent) and a doctorate in data science, computer science, mathematics, engineering or equivalent
• Extensive research and practical experience in data analytics, data mining, machine learning, and deep learning (demonstrated by, e.g., the dissertation, publications in peer-reviewed journals or conferences, or open source projects)
• Very good practical programming skills (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 by, e.g., the dissertation, publications in peer-reviewed journals or open source projects)
• Excellent communication skills and the ability to present complex issues in a didactic way (demonstrated by, e.g., teaching experience or supervising student work)
• Very good verbal and written communication skills in English
• Willingness to regular business trips within the Rhine-Ruhr area

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:

• Secure employment in a dynamic, international and multidisciplinary environment of scientists from different domains and software developers in the field of research data management
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• A creative working environment in a leading research institution, located on an attractive research campus of TZA Aachen go.fzj.de/TZA
• We offer you an exciting role that deals with some of the great challenges of science - our goal is to make a difference together
• Comprehensive training courses and individual opportunities for personal and professional further development
• 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, and 30 days of annual leave
• The possibility of (location-) flexible working, e.g. home office for 2 days per week

In addition to exciting tasks and a collaborative working atmosphere at Jülich, we have a lot more to offer: go.fzj.de/benefits

Place of employment: Jülich/Aachen

The position is initially limited to 2 years with the possibility of a longer-term perspective. Remuneration and social benefits are in conformity with the provisions of the Collective Agreement for the Civil Service (TvöD-Bund).

We are looking forward to your application including a motivation letter and a CV, as well as certificates and transcripts of your degrees and other relevant documentation. Relevant experience should be demonstrated (e.g. by linking to own open source projects in Github/Gitlab, scientific publications, etc.) and be briefly highlighted in the letter of motivation. We are looking to fill this position as soon as possible – the job advertisement will be taken offline once the position is filled.

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.

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.