Research fellow (m/f/d) in the SolMates project
Research fellow (m/f/d) in the SolMates project
Research fellow (m/f/d) in the SolMates project
Research fellow (m/f/d) in the SolMates project
Humboldt-Universität zu Berlin
Fach- und Hochschulen
Berlin
- Art der Beschäftigung: Vollzeit
- Vor Ort
Research fellow (m/f/d) in the SolMates project
Über diesen Job
Research fellow (m/f/d) in the SolMates project
expected full-time employment – E 13 TV-L HU (third-party funding limited until 30.11.2026)
At a glance
Das europäische Projekt SolMates (Scalable High-Power Output and Low-Cost Made-to-Measure Tandem Solar Modules Enabling Specialised PV Applications) zielt auf die Entwicklung neuartiger Technologien für leichte, flexible und hocheffiziente photovoltaische (PV) Module ab. Diese sollen u. a. in dezentralen Energiesystemen, der Landwirtschaft, im Transportwesen und weiteren Anwendungsfeldern eingesetzt werden.
Das SolMates -Team an der Humboldt-Universität zu Berlin beteiligt sich an der Weiterentwicklung von NOMAD , dem weltweit größten Datenrepositorium für die Materialwissenschaften. Das Team integriert Bildsegmentierungs- und datengetriebene Analyseverfahren zur automatisierten Bewertung von Fertigungsprozessen für Dünnschicht-Solarzellen in NOMAD Oasis. Es ist verantwortlich für die Installation und Entwicklung von (Meta-)Datenschemata für die Forschung an Partnerinstitutionen sowie für die Entwicklung von Datenkonvertern, elektronischen Laborbüchern und cloudbasierten Forschungsworkflows für die experimentelle Forschung an Dünnschicht-Solarzellen.
Wir suchen eine engagierte Kollegin / einen engagierten Kollegen zur Verstärkung unseres interdisziplinären Teams.
Your responsibilities
The European project SolMates (Scalable High-Power Output and Low-Cost Made-to-Measure Tandem Solar Modules Enabling Specialised PV Applications) aims to develop novel technologies for lightweight, flexible, and highly efficient photovoltaic (PV) modules. These technologies target applications in decentralized energy systems, agriculture, transport, and beyond.
The SolMates team at Humboldt-Universität zu Berlin contributes to the development of NOMAD , the world’s largest data repository for materials science. Within SolMates, the team builds on its experience in integrating image segmentation and data-driven analysis algorithms for the assessment of thin-film solar cell fabrication processes within NOMAD Oasis installations. The team is responsible for the installation and development of (meta-)data schemas for research at partner institutions tailored to advanced thin-film photovoltaic research, as well as for the development of data converters, image-segmentation related electronic laboratory notebooks, and cloud-based research workflows for experimental-thin film photovoltaics research.
We are looking for one motivated colleague to join our interdisciplinary team.
- scientific services supporting research within the SolMates project
- development and extension of the web-based research data management platform NOMAD within SolMates
- contribution to the full software development lifecycle, including requirements analysis, specification, implementation, testing, versioning, release and change management, and user support
- performing development tasks independently as well as collaboratively within an international team
- developing (meta-)data schemes, data converters, and electronic lab notebooks, specifically for thin-film and tandem solar cell fabrication and characterization workflows within SolMates
- development of scalable, cloud-based workflows, including the integration of machine learning components into Temporal-based workflow orchestration for data processing, analysis, and automation
- integration and deployment of image segmentation algorithms for the automated assessment of thin-film solar cell fabrication processes (e.g. layer quality, defects, morphology) within NOMAD Oasis
- design and implementation of SolMates-specific data models and electronic laboratory notebooks (ELNs) supporting image-based characterization and process monitoring
- short-term and potentially longer research stays at partner institutions
- representation of the project at national and international workshops and conferences, as well as contribution to scientific publications
What you bring to the table
- completed academic degree or Ph.D. in physics, materials science, computer science, or a related field
- in-depth domain knowledge in materials science (e.g. synthesis, characterization, or photovoltaic devices)
- strong expertise in object-oriented programming in Python, data modeling, and scientific workflows
- experience in collaborative Linux-based development using Git
- knowledge of Python-based type systems and schemas (e.g. Pydantic, JSON Schema) is advantageous
- experience with data visualization, image analysis and segmentation methods, machine learning pipelines, or workflow orchestration frameworks (especially Temporal) is desirable
- previous experience in Python plugin development, especially for the NOMAD software, is advantageous
- excellent written and verbal communication skills in English
- strong teamwork and collaboration skills
Your path to the HU
The position is intended to start on 01.08.2026 .
The Humboldt-Universität zu Berlin is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration history are specifically encouraged to apply. Since we will not return your documents, please submit copies in the application only.
Information pursuant to Art. 12, 13 DSGVO on the processing of personal data (at Humboldt- Universität) within the framework of job advertisements can be found on our Website: https://hu.berlin/DSGVO .
Please visit our website www.hu-berlin.de/stellenangebote , which gives you access to the legally binding German version.
Lise Meitner-Haus, Institutsgebäude, Newtonstraße 15, 12489 Berlin
Unternehmens-Details
Humboldt-Universität zu Berlin
Fach- und Hochschulen