Postdoc (f/m/d) Stability Modelling of Perovskite-Silicon Tandem Solar Cells

Helmholtz-Zentrum Berlin für Materialien und Energie GmbH (HZB); Berlin; Vor Ort; EUR 45.000 - 65.000; Vollzeit

Zusammenfassung

Ein renommiertes Forschungszentrum in Berlin sucht einen Postdoc (m/w/d) zur Stabilitätsmodellierung von Perovskit-Silizium Tandem-Solarzellen. Sie entwickeln maschinelles Lernen zur Analyse der Energieerträge. Ein MSc oder PhD sowie Kenntnisse in Python sind erforderlich. Flexible Arbeitszeiten und umfangreiche Zusatzleistungen werden geboten.

Leistungen

30 Tage Urlaub/Jahr

Betriebliche Altersvorsorge

Subvention für den öffentlichen Nahverkehr

Flexible Arbeitszeitmodelle

Qualifikationen

• Erfahrung mit Maschinenlernen und Modellierung.
• Kenntnisse in Zeitreihendaten sind von Vorteil.

Aufgaben

• Entwicklung und Test von Algorithmen für den Energieertrag und die Degradation von Solarzellen.
• Datenbereinigung und -vorbereitung.
• Integration von experimentellen Daten ins Datenmanagementsystem.
• Aktive Teilnahme an der Ergebnissverbreitung.

Kenntnisse

Maschinenlernen

Programmieren, vorzugsweise Python

Kenntnisse in Photovoltaik

Gute Englischkenntnisse

Ausbildung

MSc oder PhD in relevantem Fachgebiet

Tools

Datenbank-Tools

Jobbeschreibung

Postdoc (f/m/d) Stability Modelling of Perovskite-Silicon Tandem Solar Cells

Reference No.: SE 2025/24

At Helmholtz-Zentrum Berlin, we research materials and processes for next-generation solar cells that are highly efficient, durable and cost-effective. Monolithic perovskite–silicon tandem solar cells are among the most promising technologies. In the laboratory, we have already achieved a world record efficiency of over 30% with such devices, and – partly in collaboration with industry partners – we are developing scalable processes for industrially relevant cells and modules.

Postdoc (f/m/d) Stability Modelling of Perovskite-Silicon Tandem Solar Cells

Reference No.: SE 2025/24

At Helmholtz-Zentrum Berlin, we research materials and processes for next-generation solar cells that are highly efficient, durable and cost-effective. Monolithic perovskite–silicon tandem solar cells are among the most promising technologies. In the laboratory, we have already achieved a world record efficiency of over 30% with such devices, and – partly in collaboration with industry partners – we are developing scalable processes for industrially relevant cells and modules.
In the TruStable project, a collaboration between Hanwha Q CELLS GmbH, Helmholtz-Zentrum Berlin, Forschungszentrum Jülich and the Fraunhofer Centre for Silicon Photovoltaics, we aim to utilise and expand outdoor datasets on perovskite-based solar cells to develop data-driven models that improve solar cell reliability and enable long-term performance predictions. Data from past and ongoing field tests, indoor ageing tests and post-mortem analyses will be used to identify failure modes. Based on this, alternative manufacturing methods and early detection algorithms will be developed.

Your Tasks

• Based on the data recorded in the team, you will develop and test machine learning algorithms for perovskite tandem solar cells' energy yield and degradation
• Data cleaning and preparation
• Assisting integration of the experimental data into the data management system
• Participation in the results dissemination, including writing scientific papers and reporting research results in conferences and seminars
• Participating in project activities and writing reports

Your Profile

• MSc or PhD in a relevant field
• Experience with Machine Learning modeling
• Coding experience, preferably Python
• Basic knowledge of databases tools and concepts
• Basic knowledge in Photovoltaics is a plus
• Experience working with time series data is a plus
• Good oral and written English are essential, German language is a plus

Your Benefits

• Opportunity to contribute to the development of innovative materials and technological solutions for a climate-neutral future in cooperation with leading international researchers
• Commitment to diversity and sustainability through an inclusive working environment, promotion of diversity sensitivity and implementation of sustainable and climate-neutral methods
• Career-enhancing networking opportunities and individual mentoring and support from the HZB Graduate Centre and HZB Postdoc Office
• Attractive remuneration through payment according to Public Service Wage Agreement (TVöD Bund)
• 30 days holiday/year
• Extensive additional benefits, such as company pension plan (VBL), subsidy for public transport (Deutschlandticket Job) and company sports programmes
• Good work-life balance through counselling services on family and career and flexible working time models: Flexitime, part-time, hybrid working
• And a team that is looking forward to meeting you!

Fixed term contract for 24 months.The salary is based on the Collective Agreement for the German Public Service (TVöD-Bund).

How to apply

We look forward to receiving your application via our application management system by 28.09.2025. For reasons of data protection regulations,we are unfortunately unable to consider applications that reach us by any other means (such as email or mail) in the application process.

We very much want our workplace to be diverse, and welcome applications from people with different backgrounds.It is our mission to promote equal opportunities and to improve women’s representation in the workforce.We are therefore very interested in receiving applications from women.Where the qualifications are met, we will give preference to people with disabilities.

For German version, please click on the following link: German Version.

➜ APPLY HERE
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Climate change poses serious challenges to the whole world.
At Helmholtz-Zentrum Berlin, we are researching materials for a climate-neutral future.1400 employees from all over the world are working together at HZB towards this goal.Join us, and help us achieve it!
Learn more about HZB on our website .

CONTACT

Dr Mark Khenkin