About UNVEIL
UNVEIL aims to transform the diagnostics and preservation of cultural heritage by developing innovative non-destructive evaluation (NDE) techniques and advanced digital tools for diagnostics, conservation and public engagement. The network brings together academic, industrial and cultural institutions to (i) enhance surface and subsurface analysis of multi-layered and 3D artworks using techniques such as terahertz imaging, thermography and ultrasonics; and (ii) integrate and visualise multimodal…
NDE data using data fusion, digital twins and augmented reality to provide a holistic understanding of artworks’ condition and structure.
More information: https://unveil-dn.eu/
What UNVEIL offers
- 36-month full-time employment contract and PhD enrolment (Doctoral Candidate position).
- Structured training programme: network-wide schools, workshops, seminars and transferable skills training.
- International and intersectoral experience through secondments (academia, industry, museums/restoration centres).
- Access to real artworks, mock-ups and state-of-the-art imaging and computation facilities across Europe.
- Close supervision and Career Development Plan (CDP) tailored to your research and career goals.
Eligibility requirements (MSCA DN rules)
- At the date of recruitment, you must NOT have been awarded a doctoral degree.
- You must comply with the MSCA mobility rule: you must not have resided or carried out your main activity (work, studies, etc.) in the country of the recruiting organisation for more than 12 months in the 36 months immediately before recruitment (short stays such as holidays are not taken into account).
- Researchers of any nationality are eligible.
- You must be enrolled (or be eligible to enrol) in the doctoral programme of the PhD-awarding institution linked to each position.
- You will be recruited under an employment contract (or equivalent) as a full-time Doctoral Candidate and work exclusively on the UNVEIL project during the contract.
Important – Global Advertisement
This announcement constitutes the global advertisement for the UNVEIL Doctoral Network under Horizon Europe – MSCA Doctoral Networks.
Please note: Twelve (12) individual Doctoral Candidate positions will be published separately in the near future. Each individual position corresponds to a distinct research project and provides detailed information on hosting, supervision, secondments, and local PhD enrolment requirements.
Additional Information: For full details on the UNVEIL Doctoral Candidate positions, including application instructions, eligibility, salary, and deadlines, please consult the collective PDF advert: UNVEIL Doctoral Candidate Positions – Collective Advert.
DC1 – Super-resolution terahertz imaging for layered artworks
Recruiting org.: CNRS-Georgia Tech IRL 2958 (Metz, France) | PhD-awarding institution: Université de Lorraine (Metz, France)
The candidate will develop super-resolution depth and transverse profiling methods to analyse complex multilayered cultural heritage artworks.
Official application: https://emploi.cnrs.fr/Offres/Doctorant/IRL2958-CRICOR-041/Default.aspx?lang=EN
DC2 – Thermography for painting stratigraphy
Recruiting org.: CAL (Università della Calabria, Italy) | PhD-awarding institution: CAL (Università della Calabria, Italy)
The candidate will investigate pulse-compression thermography with multi-wavelength LED excitation to enhance painting stratigraphy analysis.
Where to Apply (deadline 21 September 2026 – 12:00 (noon), Europe/Rome time)
The official call is published here: https://unical.portaleamministrazionetrasparente.it/archivio22_bandi-di-concorso_0_35736_874_1.html
Direct link to the English version of the call document: dr_996_..._xlii_ciclo_en.pdf
Please note: the call covers all PhD programmes of the University of Calabria. The UNVEIL position belongs to the PhD programme TEACH under Administrative Category 997 (EU Funds). The details of the TEACH programme, including the UNVEIL position, are given on pages 73–77 of the call document.
DC3 – Air-coupled ultrasonic tomography
Recruiting org.: WA (University of Warwick, United Kingdom) | PhD-awarding institution: WA (University of Warwick, United Kingdom)
The candidate will develop Lamb-wave and through-transmission air-coupled ultrasonic tomography for non-contact imaging of layered materials.
Official application: https://warwick-careers.tal.net/vx/lang-en-GB/mobile-0/appcentre-1/brand-4/user-11595/xf-7f3b28317b69/candidate/so/pm/1/pl/3/opp/4023-Marie-Sklodowska-Curie-Researcher-111472-0326/en-GB
DC4 – THz imaging of ceramic artefacts
Recruiting org.: CNRS-Georgia Tech IRL 2958 (Metz, France) | PhD-awarding institution: Université de Lorraine (Metz, France)
The candidate will explore terahertz imaging and tomography for non-invasive evaluation of ceramic cultural heritage artefacts.
Official application: https://emploi.cnrs.fr/Offres/Doctorant/IRL2958-CRICOR-042/Default.aspx?lang=EN
DC5 – Ultrasonic imaging for sculptures and ceramics
Recruiting org.: FRAU-IKTS (Fraunhofer IKTS, Germany) | PhD-awarding institution: TUD (Dresden University of Technology, Germany)
The candidate will develop new ultrasonic techniques to image sculptures and ceramic artefacts non-destructively.
Official application: https://jobs.fraunhofer.de/job/Dresden-PhD-Ultrasonic-imaging-for-sculptures-and-ceramics-01109/1384062033/
DC6 – Laser ultrasonics for artwork diagnostics
Recruiting org.: KUL (Leuven, Belgium) | PhD-awarding institution: KUL (Leuven, Belgium)
The candidate will assess non-contact surface acoustic wave depth profiling and bulk acoustic wave imaging by laser ultrasonics.
Official application: https://www.kuleuven.be/personeel/jobsite/jobs/60630756
DC7 – Multiscale and multimodal hyperspectral imaging analysis
Recruiting org.: NTNU (Gjovik, Norway) | PhD-awarding institution: NTNU (Norway)
The candidate will work on multiscale, multimodal hyperspectral image acquisition, integration, analysis, and visualization.
Recruitment closed.
DC8 – Data fusion and multimodal learning for materials and pigments identification
Recruiting org.: CNRS-C2RMF, CNRS-SATIE (Paris/Gif, France) | PhD-awarding institution: Université Paris-Saclay (France)
The candidate will develop processing and fusion methods of X-Ray fluorescence and hyperspectral data for improved material and pigment characterization.
Official application: https://emploi.cnrs.fr/Offres/Doctorant/UMR8029-NACCHI-012/Default.aspx?lang=EN
DC9 – Multispectral and subsurface imaging fusion
Recruiting org.: Profilocolore (Roma, Italy) | PhD-awarding institution: Sapienza Università di Roma (Roma, Italy)
The candidate will fuse multispectral imaging data with multisource subsurface non-destructive evaluation imaging.
Official application: https://unveil-dn.eu/wp-content/uploads/2026/05/DC9-PROFILOCOLORE.pdf
DC10 – Feature extraction in multimodal NDE data
Recruiting org.: NEW (Newcastle University, United Kingdom) | PhD-awarding institution: Newcastle University (Newcastle, United Kingdom)
The candidate will design feature extraction and machine learning methods for multi-modal, multi-dimensional non-destructive evaluation measurements.
DC11 – Digital twins for cultural heritage diagnostics
Recruiting org.: RWTH (Aachen, Germany) | PhD-awarding institution: RWTH (Aachen, Germany)
The candidate will develop user-centred design of digital twins for data integration and interactive visualization of fused NDE data.
Official application: https://www.rwth-aachen.de/cms/root/wir/karriere/rwth-jobportal/~kbag/details/?file=V000011027&lidx=1
DC12 – Digital twins and augmented reality in museums
Recruiting org.: Trier University (Trier, Germany) | PhD-awarding institution: Trier University (Aachen, Germany)
The candidate will develop digital twins for museum exhibitions using augmented reality for enhanced visitor engagement.
Official application: https://www.uni-trier.de/universitaet/verwaltung/abteilung-iii-personal/jobs
Please note: Links to individual adverts and/or application pages for each Doctoral Candidate position will be constantly updated during the recruitment. Applicants are strongly encouraged to consult each individual position description carefully before applying to ensure eligibility and suitability for the project.
Where to apply
Website: https://unveil-dn.eu/contact/
Requirements
Research Field: Engineering; Physics; Computer science. Education Level: Master Degree or equivalent. Languages: English (Level: Excellent).
Additional Information
Benefits
- 36-month full-time employment contract and PhD enrolment
- Structured training programme: network-wide schools, workshops, seminars, and transferable skills training
- International and intersectoral secondments (academia, industry, museums/restoration centres)
- Access to real artworks, mock-ups, and state-of-the-art imaging and computation facilities across Europe
- Close supervision and Career Development Plan (CDP) tailored to research and career goals
Eligibility criteria
Applicants must comply with the Marie Skłodowska-Curie Actions Doctoral Networks eligibility rules:
- Applicants must be doctoral candidates and must not already hold a doctoral degree at the date of recruitment.
- Applicants must comply with the MSCA mobility rule: they must not have resided or carried out their main activity in the country of the recruiting institution for more than 12 months in the 36 months immediately before the recruitment date (short stays such as holidays are not counted).
- Researchers of any nationality are eligible.
- Applicants must be eligible to enrol in the doctoral programme of the PhD-awarding institution linked to each position.
- Candidates will be recruited under a full-time employment contract and will work exclusively on the UNVEIL project during the contract.
Selection process
The recruitment process will follow the principles of Open, Transparent and Merit-based Recruitment (OTM-R) as recommended by the European Commission.
Applications will be checked for eligibility according to the MSCA Doctoral Network rules. Eligible candidates will be evaluated by a selection committee based on academic excellence, research experience, and suitability for the project. Shortlisted candidates may be invited to an interview (online or in person).
The final selection will be based on the overall evaluation of the application and interview.
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