Data Scientist for Machine Learning and Pattern Recognition for PV Data Analysis

Forschungszentrum Jülich - FZJ - Helmholtz Association

Jülich, Germany

Work group:

IEK-11 - Helmholtz-Institut Erlangen-Nürnberg Erneuerbare Energien


Area of research:

Scientific / postdoctoral posts


Job description:

Your Job:

Automated image analysis of drone based infrared and luminescence images of PV modules obtained from PV systems in the field Automated defect recognition (e.g. crack detection) in the images by means of machnine learning, neural networks, AI etc. Data mining of monitoring and possibly production data of PV modules and systems in order to deduce typical failure patterns Automated correlation detection in data sets from various sources (e.g. imaging data and power measurements)

Your Profile:

Graduate of a university with excellent academic degree or doctorate in Computer Science, Physics, Electrical Engineering or a relevant discipline Previous experience in programming and pattern recognition and one (or more) of the following is desirable: Machine learning, deep learning, neural networks, artificial intelligence, automated image analysis, etc. Background in setting up, maintaining and using data bases Strong background in statistical data analysis Strong interest in pursuing research in a multidisciplinary project related to renewable solar energy Excellent organizational skills Ability to show initiative and work independently Excellent cooperation and communication skills and ability to work as part of a team and ability to lead a team Excellent skills in spoken and written English Basic knowledge of German

Our Offer:

A lively scientific environment within the subinstitute and possibilities for cooperation with excellent partners at the Friedrich-Alexander-Universität Erlangen-Nürnberg, the Forschungszentrum Jülich, the Helmholtz-Zentrum Berlin and numerous partners abroad An excellent international work environment to perform sound, high-quality research at the international level Daily, in-depth experience in one of the most relevant and interdisciplinary topics in the field of renewable energy An active involvement in project administration, acquisition and reporting is possible but not mandatory (Senior Scientist) Active participation in project meetings, as well as on national and international conferences to present the results and to develop further competences Interaction and cooperation with world-leading industrial partners Strong support and mentoring for setting up a future career in science and/or the industry Limited position for 3 years Full-time position with the option of slightly reduced working hours or if not yet pursued already the successful candidate will have the possibility to enroll as a PhD candidate in order to obtain a PhD on this topic at the Institute of Materials for Electronics and Energy Technology at the Friedrich-Alexander-Universität Erlangen-Nürnberg in part-time 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 EG13 TVöD-Bund

We also welcome applications from disabled persons.


Please apply via recruiter’s website.

Quote Reference: Helmholtz-2018-387

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