Job Description

Would you like to contribute to the energy transition in Germany through your work? Then the Helmholtz Institute Erlangen-Nürnberg for Renewable Energy (HI ERN) is the right place for you! The HI ERN forms the core of the close partnership between Forschungszentrum Jülich, Helmholtz-Zentrum Berlin for Materials and Energy, and Friedrich-Alexander-Universität Erlangen-Nürnberg at the Erlangen site. The collaboration relates to the areas of innovative materials and processes for photovoltaic energy systems and hydrogen as a storage and carrier medium for CO2-neutral energy. Support us in researching and developing solutions for the climate-neutral, sustainable, and cost-effective utilization of renewable energies. For more information on HI ERN and its main research areas, please visit https://www.hi-ern.de.

We are looking to recruit a

Research Associate in Data Science Management

Your Job:
We are offering you a position in the Department of High-Throughput Methods in Photovoltaics (Head: Prof. Christoph Brabec). Our vision is to use modern data-driven research approaches to accelerate materials research and develop the next GW photovoltaic technology. We use automated research equipment to experimentally produce, characterize, and optimize solar cells. In doing so, we collect a lot of research data, which is stored and reused for research using artificial intelligence and machine learning. We conduct research on perovskites, organic semiconductors, and also classic silicon photovoltaics in the field. Your tasks in detail:

-Creation of ontologies based on the data obtained
-Development and implementation of structures for the storage of large amounts of data generated by experimental research and simulations including interfaces for the evaluation and reuse of the stored data by research scientists
-Development and implementation of interfaces for automated data transfer from experimental setups to a database
-Training and support for scientists working with research data
-Documentation of data workflows and data infrastructure
-Support of the administration and ongoing development of software and hardware infrastructure
-Close collaboration with automation experts, data and material scientists to improve and use a fast and reliable electrochemical testing process

Your Profile:
-Master’s degree in information sciences, such as computer science, data science, or computational engineering; alternatively, applicants with a master’s degree in natural sciences with an affinity for IT are also welcome to apply
-Excellent programming skills (Python is desired, other programming languages are also welcome)
-Interest in the topics of research data management and open data
-Basic knowledge of database operation and programming (SQL is desired)
-Knowledge of existing standards for research data management and databases (e.g. NOMAD Oasis) is desirable
-Independent and structured working style based on a very high level of personal responsibility
-Openness to acquiring new knowledge
-Strong communication skills and good knowledge of English; knowledge of German is desirable

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:

-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 work (location) arrangements, e.g. remote work
-Flexible working hours in a full-time position with the option of slightly reduced working hours
-30 days of annual leave and provision for days off between public holidays and weekends (e.g. between Christmas and New Year)
-Targeted services for international employees, e.g. through our International Advisory Service

The position is for a fixed term of two years. Salary and social benefits will conform to the provisions of the Collective Agreement for the Public Service (TVöD-Bund) depending on the applicant’s qualifications and the precise nature of the tasks assigned to them.

Place of employment: Erlangen

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. The job will be advertised until the position has been successfully filled. You should therefore submit your application as soon as possible via our Online Recruitment System: https://www.fz-juelich.de/en/careers/jobs/2024-148?apply!

Questions about the Offer?
Get in touch with us by using our contact form: https://www.fz-juelich.de/en/careers/jobs/2024-148?contact. Please note that for technical reasons we cannot accept applications via e-mail.

You can find helpful information on the application and selection process here: https://www.fz-juelich.de/en/careers/application-information. You can also find answers to frequently asked questions in our FAQs: https://www.fz-juelich.de/en/careers/application-information/faq.

www.fz-juelich.de