Forschungszentrum Jülich

Research Associate - Device characterization of tandem solar cells and machine learning

Stellenbeschreibung:

Your Job

You will be a member of a consortium of leading research institutes and an industry partner. Your task is the build-up of a predictive model for tandem cell stability.

  • You receive tandem solar cells from a partner institute and perform high-throughput degradation and characterization.
  • Development of existing predictive models with respect to prediction of time series data in hybrid AI workflows, that is, under consideration of physical model parameters.
  • Adaptation of the protocol of the high-throughput characterization to maximize the predictive capacity of the AI model.
  • Scientific communication of the results (publications, conference presentations).
  • Intense interaction with the consortium.

Your Profile

  • Master and PhD degree in materials science, physics, chemistry, informatics, machine learning, energy technology or related subjects.
  • Prior experience in building predictive models using regression techniques, neural networks (CNN, GNN) or symbolic regression.
  • Experience in the dissemination of scientific results, demonstrated by publications and presentations at conferences.
  • Willingness and ability to participate in international meetings.
  • Experience with conducting and documenting scientific experiments as well as processing and analyzing data (Python, Origin).
  • Good communication in English; knowledge of German advantageous (but not compulsory).

Our Offer

  • MEANINGFUL TASKS: The position offers a varied and diverse role in an international environment.
  • WORK-LIFE BALANCE: Optimal conditions for balancing work and private life, as well as a family-friendly company policy. The option of flexible working (in terms of location) is generally available after consultation and in line with upcoming tasks and (on-site) appointments.
  • VACATION: You will receive 30 days of vacation plus additional days off (e.g. between Christmas and New Year's).
  • FLEXIBILITY: Flexible working time models, including options close to full-time ( ), allow you to tailor your working hours to suit your individual needs.
  • KNOWLEDGE & FURTHER TRAINING: Your professional development is important to us – we provide targeted, individual support.
  • FAIR REMUNERATION: Depending on your existing qualifications and the tasks assigned to you, you will be classified in pay grade 13 of the TVöD-Bund (Collective Agreement for the Public Service). All information on the TVöD-Bund collective agreement can be found on the BMI website: . The monthly salaries in euros can be found on page 69 of the PDF download.
  • ADDITIONAL BENEFITS: Benefit from attractive additional services such as a company pension scheme with employer contribution. In addition to your basic salary, you will receive an annual bonus and capital-forming benefits.
  • FIXED-TERM: The position is limited to 2 years.
  • SUPPORT FOR INTERNATIONAL EMPLOYEES: Our International Advisory Service makes it easier for international employees to get started.
  • CAREER CENTER: You will receive explicit support with regard to your career development opportunities:

In addition to exciting tasks and a collegial working environment, we offer you much more:

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.

The following links provide further information on diversity and equal opportunities: and on specific support options:

Place of employment: Erlangen

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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    02 Feb 2026
  • Standort:

    Erlangen
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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