MSCA Doctoral Networks 2026

Project results are expected to contribute to the following outcomes:

For supported doctoral candidates

• New research and transferable skills and competences, leading to improved employability and career prospects within and outside academia;
• New knowledge allowing the conversion of ideas into products and services, where relevant;
• Enhanced networking and communication capacities with scientific peers, as well as with the general public that will increase and broaden the research and innovation impact.

For participating organisations

• Improved quality, relevance and sustainability of doctoral training programmes and supervision arrangements;
• Enhanced cooperation and transfer of knowledge between sectors and disciplines;
• Increased integration of training and research activities between participating organisations;
• Boosted R&I capacity;
• Increased internationalisation and attractiveness;
• Regular feedback of research results into teaching and education at participating organisations.

MSCA Doctoral Networks will implement doctoral programmes, by partnerships of universities, research institutions and research infrastructures, businesses including SMEs, and other socio-economic actors from different countries across Europe and beyond. MSCA Doctoral Networks are indeed open to the participation of organisations from third countries, in view of fostering strategic international partnerships for the training and exchange of researchers.

These doctoral programmes will respond to well-identified needs in various R&I areas, expose the researchers to the academic and non-academic sectors, and offer training in research-related, as well as transferable skills and competences relevant for innovation and long-term employability (e.g. entrepreneurship, commercialisation of results, Intellectual Property Rights, communication). Proposals for doctoral networks can reflect existing or planned research partnerships among the participating organisations.

The selection procedure for doctoral candidates must be open, transparent and merit-based, in line with the European Charter for Researchers. The vacancy notice (to be widely advertised internationally, including on the EURAXESS^[1] website) must mention if the published rates include all employer and employee's taxes and contributions. If possible, the gross salary (net salary + employee’s taxes and contributions) should be published.

MSCA Doctoral Networks are encouraged to lead to Industrial or Joint Doctorates.

Industrial Doctorates

Through Industrial Doctorates, doctoral candidates will step outside academia and develop skills in industry and business by being jointly supervised by academic and non-academic organisations, both of which can be established in the same EU Member State or Horizon Europe Associated Country.

Joint Doctorates

Joint Doctorates represent a highly integrated type of international, inter-sectoral and multi/interdisciplinary collaboration in doctoral training. They lead to the delivery of joint, double or multiple doctoral degrees^[2] recognised in at least one EU Member State or Horizon Europe Associated Country.

Supervisory Board

Each MSCA Doctoral Network should have a clearly identified supervisory board co-ordinating network-wide training, research and in particular supervision activities in line with the Guidelines for MSCA supervision, while establishing continuous communication and exchange of best practice among the participating organisations to maximise the benefits of the partnership.

Training activities

MSCA Doctoral Networks should exploit complementarities between participating organisations and foster sharing of knowledge and networking activities for example through the organisation of workshops and conferences. Proposed training activities should respond to well identified needs in various R&I areas, with appropriate references to inter- and multidisciplinary fields and follow the EU Principles for Innovative Doctoral Training^[3]. They should be primarily focused on developing new scientific knowledge through original research on personalised projects.

Inter-sectoral secondments of researchers to other participating organisations, including in third countries, are encouraged when relevant, feasible and beneficial for the researchers and in line with the project objectives. This will increase the employability of the researchers outside academia.

Doctoral Networks should develop substantial training modules, addressing key transferable skills and competences common to all fields, including digital ones (e.g. generative AI) and foster the culture of Open Science, knowledge valorisation^[4], and when applicable innovation and entrepreneurship as well as good scientific conduct such as research integrity. In particular, Doctoral Networks should adequately prepare doctoral candidates to pursue a career in research and for increased research collaboration and information-sharing made possible by new (digital) technologies (e.g. collaborative tools, opening access to publications and to other research outputs including data, FAIR data management, societal engagement and citizen science, etc.).

Supervision

Particular attention is paid to the quality of supervision and mentoring arrangements as well as career guidance. Joint supervision of the researchers is mandatory for Industrial and Joint Doctorates.

Career Development Plan

A Career Development Plan must be established jointly by the supervisor and each recruited doctoral candidate. In case of joint supervision, such a plan should be established involving all supervisors. In addition to research objectives, this plan comprises the researcher's training and career needs, including training on transferable skills, teaching, planning for publications and participation in conferences and events aiming at opening science and research to citizens. The plan, established at the beginning of the recruitment, should be revised (and updated where needed) within 18 months.

RAISE Doctoral Networks

The RAISE Doctoral Networks, implemented through Work Programme Annex 14, Horizontal Activities, provide specific support to networks with primary focus on the use of AI in science.

[1] https://euraxess.ec.europa.eu/

[2] Every time this Work Programme part refers to doctoral degrees, this means that the degrees have to be recognised as such by the relevant authorities of the country or countries concerned.

[3] principles_for_innovative_doctoral_training.pdf

[4] “Knowledge valorisation” is the process of creating social and economic value from knowledge by linking different areas and sectors and by transforming data, know-how and research results into sustainable products, services, solutions and knowledge-based policies that benefit society” (EUR-Lex - 32022H2415 - EN - EUR-Lex).

For more guidance on specific areas of knowledge valorisation, see the European Commission’s Codes of Practice on intellectual assets management, on standardisation, on industry-academia co-creation and on citizen engagement for knowledge valorisation