Position Description
We are seeking an experienced, highly qualified and motivated researcher qualified in research data engineering applied in Heritage Science and Scientific data workflows to join our team and share responsibilities in the development, testing and integration of tools and services into the ECCCH platform, in the context of the COLOURS project, https://colours-eccch.eu/, https://www.echoes-eccch.eu/, GA 101233413, HORIZON-CL2-2024-HERITAGE- ECCCH-01-05. The successful candidate will be responsible for designing, deploying, and maintaining robust digital tools and automated data pipelines capable of processing and integrating complex, multimodal cultural heritage data (such as text, high-resolution images, 3D assets, and scientific/physicochemical analytical datasets). Working closely with multidisciplinary international consortia —including conservators, heritage scientists, curators, and software engineers—the role bridges domain-specific user requirements and open-source cloud architectures. Benefits for the candidate An international, multidisciplinary research environment bridging cutting-edge computer science and cultural heritage preservation. Opportunities to contribute to high-impact open-source cloud-based tools and European digital policy. Key tasks and responsibilities Analytical tool and interface development: Prototype and deploy modular, open-source software tools, APIs, and intuitive user interfaces (UIs) tailored for the exploration, comparative analysis, spatial/spectral overlay, and visual interpretation of heritage material datasets. Pipeline automation, workflows and tool integration: Build and optimize end-to-end Extract, Transform, Load and data processing pipelines using workflow orchestrators, ensuring reproducibility in the execution and automated ingestion/upload of multimodal scientific data into cloud environments. Tool testing and validation: Define and execute use cases, validation protocols, and pilot workflows to rigorously evaluate cloud tools on real-world datasets, including multidisciplinary/multimodal data on heritage materials. FAIR scientific data stewardship: Use standard scientific data formats and instrument exports, embedding instrument metadata, calibration parameters, and persistent sample identifiers into reproducible pipelines. Domain stakeholder co-design: Translate diagnostic, analytical, and conservation research questions into functional software specifications, collaborating directly with heritage scientists, conservators, and museum stakeholders across the consortium. Related Project COLOURS — Collaborative On-cloud Lab for the conservation and digital restoration of ColOUred heritage collectionS , https://colours-eccch.eu/
Required Qualifications
- Master or higher in physical sciences, heritage / material science, or related applied sciences with strong scientific programming experience.
- Strong theoretical and practical understanding of analytical techniques applied to cultural heritage
- Proven skills in programming and data processing. Proficiency in scientific Python or Julia/R for data analysis, curve fitting, signal processing, and data visualization.
- Proven experience building UIs, interactive scientific dashboards or web tools. Experience with web-based spatial viewers or spectral cube manipulators (hyperspectral/IIIF).
- Previous work experience in RTD projects. Ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines.
Desirable Qualifications
- Authored/co-authored peer-reviewed papers on material characterization methodologies or open scientific software.
- Skills to deliver tutorials and documentation: Provide tutorials and documentation to users on system functionalities, data workflows, and best practices to ensure effective utilization of information systems.
- Fluent English; track record of collaborative work in multidisciplinary laboratory environments or European research projects.
- Two letters of recommendation
Application Procedure
Interested candidates who meet the aforementioned requirements are kindly asked to submit their applications, no later than November 27, 2026, 23:59 local Greece time to the address (hr@iesl.forth.gr), with cc to the Scientific Responsible, Prof. S. Sotiropoulou (sophiaso@iesl.forth.gr).
In order to be considered, the application must include:
- Application Form (please download file from the job announcement webpage https://www.iesl.forth.gr/en/jobs-bids/jobs/job-positions)
- Detailed curriculum vitae (CV) of the candidate
- Scanned Copies of academic titles
Any application received after the deadline will not be considered for the selection
