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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement n° 813884.

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Background of the Lowcomote Research Project

Fifteen PhD positions (also called Early Stage Researchers, ESR) are offered within the framework of Lowcomote: Training the Next Generation of Experts in Scalable Low-Code Engineering Platforms, a project funded by the European Union’s Horizon 2020 research & innovation programme under the Marie Skłodowska‐Curie – ITN - ETN (GA n. 813884). For more information about Innovative Training Networks (ITNs), see this note.

Lowcomote is an international, inter-sectoral, interdisciplinary project aiming at training 15 PhDs, with the potential to become the leaders of tomorrow engineering of low-code development plateforms (LCDPs).

More specifically, the project will: (1) investigate low-code languages and tools for the development of largescale applications in heterogeneous domains, (2) create a repository able to store and enable the retrieval of heterogeneous modelling low-code artefacts (e.g., models, metamodels, model transformations and code generators), and (3) investigate efficient model transformation, particularly over large and complex models.

The PhDs will collaborate within the Lowcomote ITN research program and spend 2 secondments of 3 months at 2 different partners’ premises.

Thesis topics

Main Training Activities

The training program of Lowcomote aims at enabling the recruited PhDs to develop a broad range of scientific, technical and transferable skills that will prepare them for fruitful careers in academia and industry, namely thanks to training led by world experts in the field and timely and high quality feedback by all co-supervisors.

In particular, the network will provide training for the three main competences needed for developing future LCEPs:

Other training activities will include communication skills, career development, career plan skills and entrepreneurship training.


Enquiries about research content must be sent to the relevant PhD supervisor(s) via email (see contact details in each vacancy on institutional website).