Horizon Europe Programme

Standard Application Form

Marie Skłodowska-Curie Actions - Postdoctoral Fellowships (HE MSCA PF)

Instructions, please remove

Project proposal – Technical description (Part B)

Version 5.0

27 March 2026

HISTORY OF CHANGES
Version	Publication date	Changes
1.0	18.06.2021	Initial version
1.1	05.05.2022	Updated definitions: artificial intelligence, critical risks. Alignment of wording of title 1.2 with the wording of the work programme.
2.0	11.07.2022	Addition of tags
2.1	08.09.2022	Added instructions on Artificial intelligence
3.0	20.03.2023	Letter of commitment for non-academic placement no longer required Font size of text in tables - alignment with standard application form template Criteria 1.2 open science practices: link to external video added Revision of criteria 2.1 explanation Partial alignment of text with standard application form template for criteria 2.3 Addition of Section 8 “Environmental considerations in light of the MSCA Green Charter” Rephrasing of title of Section 9.
3.1	28.03.2024	Guidance on the use of AI for the preparation of the proposal Added link on open science Added “rationale and added-value of secondment (if applicable)” under sub-criterion 1.3 Added “provide credible quantified estimates” under sub-criterion 2.3 Included how to describe the MSCA green charter
4.0	16.12.2024	Removed references to AI robustness and simplification of requirements of data management plan
4.1	09.04.2025	Clarification regarding checks of compliance to formatting conditions during the evaluation Corrected links in the Open Science section 1.2
4.2	05.11.2025	Tags removed
5.0	27.03.2026	Updated for call 2026

Note

National Contact Points (NCPs) have been set up across Europe and beyond by the national governments to provide information and personalised support to Horizon Europe applicants in their native language. The mission of the NCPs is to raise awareness, inform and advise on Horizon Europe funding opportunities as well as to support potential applicants in the preparation, submission and follow-up of the grant applications. For details on the NCP in your country, please consult the MSCA National Contact Points page.

Instructions, please remove

Instructions for Drafting Part B of the Proposal

Part B of the proposal contains the details of the proposed MSCA Postdoctoral Fellowship as well as the required supporting information. It will be used by the independent experts to undertake their assessment of the proposal. We therefore advise applicants to address each of the award criteria as outlined in the relevant sections, using both descriptive text and the tables provided. Please note that the explanatory notes included in the part B proposal template serve to explain the award criteria without being exhaustive. To draft a proposal, applicants should also consult the current version of the MSCA Work Programme.

Applicants must structure their MSCA-2026-PF proposal according to the headings indicated in the Part B proposal template.

Please note that this call will be a single-stage proposal submission and evaluation procedure. At the end of this document you can see the structure of the actual proposal that you need to submit. Please use the editable version of this template that can be downloaded from the submission portal after the call opening date and once you initiate the creation of your proposal. Please remove all instruction pages that are watermarked (including the cover page) and delete all instructions from the template before uploading your proposal to the portal. Applicants must ensure that their proposals conform to this layout and to the instructions given.

Please be aware that proposals will be evaluated as they were submitted, rather than on their potential if certain changes were to be made. This means that only proposals that successfully address all the required aspects will have a chance of being funded.

Applicants must submit Part B of their proposal as two separate files: part B-1 with a page limit applied, and part B-2 without a page limit.

Instructions, please remove

Part B-1

Page limit: Sections 1, 2 and 3 together should not be longer than 10 pages. All tables, figures, references and any other element pertaining to these sections must be included as an integral part of these sections and are thus counted towards this page limit. The page limit for this part of the proposal will be applied automatically; therefore, you must remove these instruction pages before submitting. Do not add a cover page or a table of contents.

If you attempt to upload a proposal longer than the specified page limit, you will receive an automatic warning and will be advised to shorten and re-upload the proposal. After the deadline, excess pages (in over-long proposals) will be automatically made invisible, and therefore will not be taken into consideration by the experts. Note that experts will be instructed to verify compliance with the formatting conditions below and to ignore hyperlinks to information that is specifically designed to expand the proposal, thus circumventing the page limit.

The following formatting conditions apply:

The page size is A4, and all margins (top, bottom, left, right) should be at least 15 mm (not including any footers or headers).

The reference font for the body text of proposals is Times New Roman (Windows platforms), Times/Times New Roman (Apple platforms) or Nimbus Roman No. 9 L (Linux distributions).

The use of a different font for the body text is not advised and is subject to the cumulative conditions that the font is legible and that its use does not significantly shorten the representation of the proposal in number of pages compared to using the reference font (for example with a view to bypassing the page limit).

The minimum font size allowed is 11 points. Standard character spacing and a minimum of single line spacing is to be used. This applies to the body text, including text in tables.

Text elements other than the body text, such as headers, foot/end notes, captions, formulas, etc. may deviate, but must be legible and not be less than 8 points.

Part B-2

Part B-2, for which you will find a template at the end of this document does not have a page limit, however it must contain only the sections required. It must comprise the CV of the researcher, the capacity of the participating organisation(s), additional ethics and security information (if applicable), environmental considerations in light of the MSCA Green Charter and the commitment letter of the associated partner hosting the outgoing phase in case of Global Fellowship. Part B-2 must be submitted as a separate document.

Applicants will not be able to submit their proposal in the submission system unless both Parts B-1 and B-2 are provided in PDF format (Adobe version 3 or higher, with embedded fonts).

Definitions

DEFINITIONS
Artificial Intelligence	Artificial intelligence (AI) refers to systems that display intelligent behaviour by analysing their environment and taking actions – with some degree of autonomy – to achieve specific goals. AI-based systems can be purely software-based, acting in the virtual world (e.g. voice assistants, image analysis software, search engines, speech and face recognition systems) or AI can be embedded in hardware devices (e.g. advanced robots, autonomous cars, drones or Internet of Things applications)
Critical risk	A critical risk is a plausible event or issue that could have a high adverse impact on the ability of the project to achieve its objectives. Level of likelihood to occur (Low/medium/high): The likelihood is the estimated probability that the risk will materialise even after taking account of the mitigating measures put in place. Level of severity (Low/medium/high): The relative seriousness of the risk and the significance of its effect.
Deliverable	A report that is sent to the Commission or Agency providing information to ensure effective monitoring of the project. There are different types of deliverables (e.g. a report on specific activities or results, data management plans, ethics or security requirements).
Impacts Instructions, please remove	Wider long term effects on society (including the environment), the economy and science, enabled by the outcomes of R&I investments (long term). Impacts generally occur some time after the end of the project. For this call Impacts refers to subsection 2.3 Example: The deployment of the advanced forecasting system enables each airport to increase maximum passenger capacity by 15% and passenger average throughput by 10%, leading to a 28% reduction in infrastructure expansion costs.
Milestone	Control points in the project that help to chart progress. Milestones may correspond to the achievement of a key result, allowing the next phase of the work to begin. They may also be needed at intermediary points so that, if problems have arisen, corrective measures can be taken. A milestone may be a critical decision point in the project where, for example, the consortium must decide which of several technologies to adopt for further development. The achievement of a milestone should be verifiable.
Objectives	The goals of the work performed within the project, in terms of its research and innovation content. This will be translated into the project’s results. These may range from tackling specific research questions, demonstrating the feasibility of an innovation, sharing knowledge among stakeholders on specific issues. The nature of the objectives will depend on the type of action, and the scope of the topic.
Outcomes	The expected effects, over the medium term, of projects supported under a given topic. The results of a project should contribute to these outcomes, fostered in particular by the dissemination and exploitation measures. This may include the uptake, diffusion, deployment, and/or use of the project’s results by direct target groups. Outcomes generally occur during or shortly after the end of the project. Example: 9 European airports adopt the advanced forecasting system demonstrated during the project.
Research output	Results generated by the action to which access can be given in the form of scientific publications, data or other engineered outcomes and processes such as software, algorithms, protocols and electronic notebooks. Instructions, please remove
Results	What is generated during the project implementation. This may include, for example, know-how, innovative solutions, algorithms, proof of feasibility, new business models, policy recommendations, guidelines, prototypes, demonstrators, databases and datasets, trained researchers, new infrastructures, networks, etc. Most project results (inventions, scientific works, etc.) are ‘Intellectual Property’, which may, if appropriate, be protected by formal ‘Intellectual Property Rights’. Example: Successful large-scale demonstrator: trial with 3 airports of an advanced forecasting system for proactive airport passenger flow management.

Guidance on the use of generative AI tools for the preparation of the proposal
When considering the use of generative artificial intelligence (AI) tools for the preparation of the proposal, it is imperative to exercise caution and careful consideration. The AI-generated content should be thoroughly reviewed and validated by the applicants to ensure its appropriateness and accuracy, as well as its compliance with intellectual property regulations. Applicants are fully responsible for the content of the proposal (even those parts produced by the AI tool) and must be transparent in disclosing which AI tools were used and how they were utilized. Specifically, applicants are required to: Verify the accuracy, validity, and appropriateness of the content and any citations generated by the AI tool and correct any errors or inconsistencies. Provide a list of sources used to generate content and citations, including those generated by the AI tool. Double-check citations to ensure they are accurate and properly referenced. Be conscious of the potential for plagiarism where the AI tool may have reproduced substantial text from other sources. Check the original sources to be sure you are not plagiarizing someone else’s work. Acknowledge the limitations of the AI tool in the proposal preparation, including the potential for bias, errors, and gaps in knowledge.

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Part B-1

1. Excellence

1.1	Quality and pertinence of the project’s research and innovation objectives (and the extent to which they are ambitious, and go beyond the state of the art)

At a minimum, address the following aspects:

Describe the quality and pertinence of the R&I objectives; are the objectives measurable and verifiable? Are they realistically achievable?

Describe how your project goes beyond the state-of-the-art, and the extent to which the proposed work is ambitious.

1.2	Soundness of the proposed methodology (including interdisciplinary approaches, consideration of the gender dimension and other diversity aspects if relevant for the research project, and the quality of open science practices)

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At a minimum, address the following aspects:

Overall methodology: Describe and explain the overall methodology, including the concepts, models and assumptions that underpin your work. Explain how this will enable you to deliver your project’s objectives. Refer to any important challenges you may have identified in the chosen methodology and how you intend to overcome them.

Integration of methods and disciplines to pursue the objectives: Explain how expertise and methods from different disciplines will be brought together and integrated in pursuit of your objectives. If you consider that an inter-disciplinary approach is unnecessary in the context of the proposed work, please provide a justification.

Gender dimension and other diversity aspects: Describe how the gender dimension and other diversity aspects are taken into account in the project’s research and innovation content. If you do not consider such a gender dimension to be relevant in your project, please provide a justification.

Remember that this question relates to the content of the planned research and innovation activities, and not to gender balance in the teams in charge of carrying out the project.

Sex, gender and diversity analysis refers to biological characteristics and social/cultural factors respectively. For guidance on methods of sex / gender analysis and the issues to be taken into account, please refer to this link

Open science practices: Describe how appropriate open science practices are implemented as an integral part of the proposed methodology. Show how the choice of practices and their implementation is adapted to the nature of your work in a way that will increase the chances of the project delivering on its objectives. If you believe that none of these practices are appropriate for your project, please provide a justification here.

Open science is an approach based on open cooperative work and systematic sharing of knowledge and tools as early and widely as possible in the process. Open science practices include early and open sharing of research (for example through pre-registration, registered reports, pre-prints, or crowd-sourcing); research output management; measures to ensure reproducibility of research outputs; providing open access to research outputs (such as publications, data, software, models, algorithms, and workflows); participation in open peer-review; and involving all relevant knowledge actors including citizens, civil society and end users in the co-creation of R&I agendas and contents (such as citizen science).

You could refer to the UZH-Open-science-policy:

https://www.openscience.uzh.ch/en/open-science-at-uzh/open-science-policies/uzh-open-science-policy.html

Please note that this does not refer to outreach actions that may be planned as part of the communication, dissemination and exploitation activities. These aspects should instead be described below under ‘Impact’.

Instructions, please remove Proposals selected for funding under Horizon Europe will need to develop a detailed data management plan (DMP) for making their data/research outputs findable, accessible, interoperable and reusable (FAIR) as a deliverable by month 6 and revised towards the end of a project’s lifetime. The DMP should describe how research outputs (especially research data) generated and/or collected during the project will be managed so as to ensure that they are findable, accessible, interoperable and reusable.

You could state that the UZH-library will help you with the data management:

https://www.ub.uzh.ch/en/wissenschaftlich-arbeiten/mit-daten-arbeiten/data-management-plan.html

For guidance on open science practices and research data management, please refer to the relevant section of the HE Programme Guide on the Funding & Tenders Portal.

1.3	Quality of the supervision, training and of the two-way transfer of knowledge between the researcher and the host

At a minimum, address the following aspects:

Describe the qualifications and experience of the supervisor(s). Provide information regarding the supervisors' level of experience on the research topic proposed and their track record of work, including main international collaborations, as well as the level of experience in supervising/training, especially at advanced level (i.e. PhD and postdoctoral researchers).

Planned training activities for the researcher (scientific aspects, management/organisation, horizontal and key transferrable skills...).

Courses at UZH

Graduate Campus/ Soft skill:

https://www.grc.uzh.ch/en/skills.html

Informatics

https://zi-training.zi.uzh.ch/en/page/courseprogramme

Statistics / Zurich R

https://www.zhrcourses.uzh.ch/en.html

Didactics

https://www.weiterbildung.uzh.ch/en/hochschuldidaktik.html

For European Fellowships: two-way transfer of knowledge between the researcher and host organisation.

For Global Fellowships: three-way transfer of knowledge between the researcher, host organisation, and associated partner for outgoing phase.

Rationale and added-value of the non-academic placement (if applicable) and secondment (if applicable).

Supervision

Employers and/or funders should ensure that a person is clearly identified to whom researchers can refer for the performance of their professional duties, and should inform the researchers accordingly.

Such arrangements should clearly define that the proposed supervisors are sufficiently expert in supervising research, have the time, knowledge, experience, expertise and commitment to be able to offer the postdoctoral researcher appropriate support and provide for the necessary progress and review procedures, as well as the necessary feedback mechanisms.

Supervision is one of the crucial elements of successful research. Guiding, supporting, directing, advising and mentoring are key factors for a researcher to pursue his/her career path. In this context, all MSCA-funded projects are encouraged to follow the recommendations outlined in the MSCA Guidelines on Supervision.

You could state that UZH has endorsed the Charter & Code but have not been awarded the HR Excellence in Research Logo.

1.4	Quality and appropriateness of the researcher’s professional experience, competences and skills

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Discuss the quality and appropriateness of the researcher’s existing professional experience in relation to the proposed research project.

2.	Impact

2.1	Credibility of the measures to enhance the career perspectives and employability of the researcher and contribution to his/her skills development

At a minimum, address the following aspects:

Specific measures to enhance career perspectives and employability of the researcher inside and/or outside academia

Expected contribution of proposed skills development to the future career of the researcher.

2.2	Suitability and quality of the measures to maximise expected outcomes and impacts, as set out in the dissemination and exploitation plan, including communication activities

At a minimum, address the following aspects:

Plan for the dissemination and exploitation activities, including communication activities: Describe the planned measures to maximize the impact of your project by providing a first version of your ‘plan for the dissemination and exploitation including communication activities’. Describe the dissemination, exploitation measures that are planned, and the target group(s) addressed (e.g. scientific community, end users, financial actors, public at large). Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens. Activities must be strategically planned, with clear objectives, start at the outset and continue through the lifetime of the project. The description of the communication activities needs to state the main messages as well as the tools and channels that will be used to reach out to each of the chosen target groups.

Strategy for the management of intellectual property, foreseen protection measures: if relevant, discuss the strategy for the management of intellectual property, foreseen protection measures, such as patents, design rights, copyright, trade secrets, etc., and how these would be used to support exploitation.

Exploitation of results and intellectual property rights:

You could mention the support of Unitectra:https://www.unitectra.ch/en/contact/office-zuerich ; https://www.unitectra.ch/en

If applicable, mention previous patenting from fellow and/or from PI

Dissemination of research results:

If possible, cite precisely which conferences you intend to attend and in which journals you will aim to publish.

Scientific publications:

UZH Zurich Open Repository and Archive (ZORA)

https://www.zora.uzh.ch/

Outreach activities:

TecDay: https://mint.satw.ch/de/tecdays

Scientifica (biannual science festival in Zurich): https://scientifica.ch/en/

Life Science Zurich: www.lifescience-learningcenter.ch

Science Slam Zurich: Science Slam Zürich (scienceslamzurich.ch)

UZH YouTube channel: https://www.youtube.com/user/uzhch

All measures should be proportionate to the scale of the project and should contain concrete actions to be implemented both during and after the end of the project.

2.3. The magnitude and importance of the project’s contribution to the expected scientific, societal and economic impacts

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Provide a narrative explaining how the project’s results are expected to make a difference in terms of impact, beyond the immediate scope and duration of the project. The narrative should include the components below, tailored to your project.

Be specific, referring to the effects of your project, and not R&I in general in this field. State the target groups that would benefit.

The impacts of your project may be:

Scientific: e.g. contributing to specific scientific advances, across and within disciplines, creating new knowledge, reinforcing scientific equipment and instruments, computing systems (i.e. research infrastructures);

Economic/technological: e.g. bringing new products, services, business processes to the market, increasing efficiency, decreasing costs, increasing profits, contributing to standards’ setting, etc.

Societal: e.g. decreasing CO2 emissions, decreasing avoidable mortality, improving policies and decision-making, raising consumer awareness.

Only include such outcomes and impacts where your project would make a significant and direct contribution. Avoid describing very tenuous links to wider impacts.

Give an indication of the magnitude and importance of the project’s contribution to the expected outcomes and impacts, should the project be successful. Provide credible quantified estimates where possible and meaningful.

‘Magnitude’ refers to how widespread the outcomes and impacts are likely to be. For example, in terms of the size of the target group, or the proportion of that group, that should benefit over time;

‘Importance’ refers to the value of those benefits. For example, number of additional healthy life years; efficiency savings in energy supply.

3.	Quality and Efficiency of the Implementation

3.1	Quality and effectiveness of the work plan, assessment of risks and appropriateness of the effort assigned to work packages

At a minimum, address the following aspects:

Brief presentation of the overall structure of the work plan, including deliverables and milestones.

Timing of the different work packages and their components;

Mechanisms in place to assess and mitigate risks (of research and/or administrative nature).

A Gantt chart must be included and should indicate the proposed Work Packages (WP), major deliverables, milestones, secondments, placements, if applicable. This Gantt chart counts towards the 10-page limit.

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The schedule in the Gantt chart should indicate the number of months elapsed from the start of the action (Month 1, Month 2, etc.) but no actual dates.

3.2	Quality and capacity of the host institutions and participating organisations, including hosting arrangements

At a minimum, address the following aspects:

Hosting arrangements, including integration in the team/institution(s) and support services available to the researcher.

Quality and capacity of the participating organisations, including infrastructure, logistics and facilities. Additional information should be outlined in Part B-2 Section 5 (“Capacity of the Participating Organisations”).

Note that for GF, both the quality and capacity of the outgoing Third Country host and the return host should be outlined.

Associated partners linked to a beneficiary

If applicable, outline here the involvement of any 'associated partners linked to a beneficiary' (in particular, the name of the entity, the type of link with the beneficiary and the tasks to be carried out).

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Part B2 (no overall page limit applied)

4.	CV of the researcher (indicative length: 5 pages)

Any information provided in Parts A and B of the proposal should be fully consistent. Always mention full consecutive dates (using format: dd/mm/yyyy). The CV should include the standard academic and research record. Any research career gaps and/or unconventional paths should be clearly explained and the dates must match the ones provided in Part A (if applicable).

At a minimum, the CV should contain:

a) The name of the researcher;

b) Professional experience (most recent first, with exact dates in format dd/mm/yyyy);

c) Education, including PhD award date (most recent first, with exact dates in format: dd/mm/yyyy).

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The CV should include information on:

Publications in peer-reviewed scientific journals, peer-reviewed conference proceedings, and/or monographs (they are expected to be open access either published or through repositories) and other outputs such as data, software, algorithms significant for your research path (they are expected to be open access in appropriate repositories to the extent possible; they should be accompanied by a very short qualitative assessment of their scientific significance and not by the Journal Impact Factor);

Invited presentations to internationally established conferences and/or international advanced schools;

Organisation of international conferences, including membership in the steering and/or programme committee;

Research expeditions led by the researcher;

Granted patent(s);

Examples of participation in industrial innovation;

Prizes and Awards;

Funding received so far;

Supervising and mentoring activities;

Other items of interest.

Applicants who have successfully defended their doctoral thesis before the call deadline but who have not yet formally been awarded the doctoral degree must clearly indicate the date of the successful, unconditional PhD defence (“viva”). Researchers having their last thesis defence after the call deadline will be automatically declared ineligible for this call.

5.	Capacity of the Participating Organisation(s)

Please provide an overview list of all participating organisations (the beneficiary and, where applicable, all associated partners) using template table 5.1 below, and more detailed information for each of the participating organisations (using a separate table for each organisation) using template table 5.2 below.

Any inter-relationship between the participating organisation(s) or individuals and other entities/persons appearing (e.g. family ties, shared premises or facilities, joint ownership, financial interest, overlapping staff or directors, etc.) must be declared in the proposal.

Applicants should provide additional information regarding the administrative/legal relations between the department carrying out the work as described in the table below, and the entity/entities mentioned in Part A of the proposal (i.e. linked to the given Participant Identification Code – PIC).

Should the proposal be shortlisted for funding, all participating organisations will have to be registered with the European Commission’s Participant Register Services. Therefore where this information is already known, please provide in Table 5.1 the (draft or validated) nine digit Participant Identification Code (PIC) for the beneficiary and, where applicable, each associated partner.

Instructions, please remove

5.1 Template table: Overview of Participating Organisations

Organisation role	PIC	Legal Entity Short Name	Academic organisation (Y/N)	Country	Name of Supervisor
Beneficiary
Associated partner linked to a beneficiary (if applicable)
Associated partner for outgoing phase (mandatory for GF)
Associated partner for secondment (if applicable )
Associated partner for non-academic placement (if applicable)

5.2 Template table: Capacity of the Participating Organisations

Please complete a separate table for each participating organisation. For the beneficiary, this table should be maximum 1 page in length; for each associated partner, the table should be maximum ½ page in length.

Choose one of: Beneficiary (compulsory) Associated partner linked to a beneficiary (if applicable) Associated partner for outgoing phase (mandatory for GF only) Associated partner for secondment (if applicable) Associated partner for non-academic placement (if applicable)
[Full name + Legal Entity Short Name + Country]
General description https://www.uzh.ch/en/explore/portrait/profile.html Pick out 3-4 facts from the website above to make an individual text.
Role and profile of supervisor
Key research facilities, Infrastructure and Equipment	Demonstrate that the beneficiary has sufficient facilities and infrastructure to host and/or offer a suitable environment for training and transfer of knowledge to the recruited experienced researcher. If applicable, indicate the name of the associated partner linked to a beneficiary and describe the nature of the link in the corresponding table.
Previous and current involvement in EU-funded research and training programmes/actions/projects	Indicate up to 5 relevant EU, national or international research and training actions/projects in which the institution/department has previously participated and/or is currently participating. Please request this information from your supervisor. In addition, the website https://cordis.europa.eu/ can help you identifying relevant MSCA IF projects at UZH. The link below is already filtered for MSCA IF projects at UZH only, just type your keywords in and it will filter for MSCA IF projects only at UZH: Cordis filtered

Instructions, please remove

6.	Additional ethics information

Additional information that could not be included in Part A of the proposal (if needed).

7.	Additional information on security screening

Additional information on security aspects that could not be included in Part A of the proposal (if needed).

8.	Environmental considerations in light of the MSCA Green Charter

Please explain how the proposed project would strive to adhere to the MSCA Green Charter during its implementation. Please indicate here - max 1/2 page - what actions you propose to take to ensure the sustainable implementation of project and to mitigate its environmental impact, in line with the principles set out in the MSCA Green Charter.

9.	Required for Global Fellowships only: Letter of commitment from the associated partner hosting the outgoing phase

Use this section to add scanned copies of the letter(s) of commitment, if applicable.

Minimum requirements:

With heading or stamp from the institution;

Up-to-date document, i.e. not dated prior to the call publication;

Demonstrating the will to actively participate in the (identified) proposal;

Explanation of the precise role.

Any additional information the organisation deems useful can be added in the letter.

In case the letter fails to provide enough information on the associated partner’s role and/or enough assurance of their commitment in the project (e.g. no signature, wrong proposal references, outdated letter…), the experts may penalise the proposal on these aspects under the implementation evaluation criterion.

For GF proposals the absence of a letter of commitment will render the proposal inadmissible and the proposal will not be evaluated.

Instructions, please remove

Non-binding example of template letter of commitment for PF associated partners:

I undersigned [title, first name and surname], in my quality of [role in the organisation] in [name of the organisation] commit to set up all necessary provisions to participate as associated partner in the proposal [proposal number and/or acronym] submitted to the call HORIZON-MSCA-2026-PF-01, should the proposal be funded.

On behalf of [name of the organisation], I also confirm that we will participate and contribute to the research, innovation and training activities as planned in this project. In particular, [name of the organisation] will be involved in [free field for any additional information that the participating organisation wishes to indicate in order to describe its role and contribution to the project].

I hereby declare that I am entitled to commit into this process the entity I represent.

Name, Date, Signature

PART B TEMPLATE

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Part B-1

1. Excellence

Quality and pertinence of the project’s research and innovation objectives (and the extent to which they are ambitious, and go beyond the state of the art)

Insert here text for your proposal

Soundness of the proposed methodology (including interdisciplinary approaches, consideration of the gender dimension and other diversity aspects if relevant for the research project, and the quality of open science practices).

Insert here text for your proposal

Quality of the supervision, training and of the two-way transfer of knowledge between the researcher and the host

Insert here text for your proposal

1.4	Quality and appropriateness of the researcher’s professional experience, competences and skills

Insert here text for your proposal

2.	Impact

2.1	Credibility of the measures to enhance the career perspectives and employability of the researcher and contribution to his/her skills development

Insert here text for your proposal

2.2	Suitability and quality of the measures to maximise expected outcomes and impacts, as set out in the dissemination and exploitation plan, including communication activities

Insert here text for your proposal

2.3. The magnitude and importance of the project’s contribution to the expected scientific, societal and economic impacts

Insert here text for your proposal

3.	Quality and Efficiency of the Implementation

3.1	Quality and effectiveness of the work plan, assessment of risks and appropriateness of the effort assigned to work packages

Insert here text for your proposal

3.2	Quality and capacity of the host institutions and participating organisations, including hosting arrangements

Insert here text for your proposal

--------------------------------------- End of page count (max 10 pages) -------------------------------

Part B-2

(No overall page limit applied)

4.	CV of the researcher

Insert here text for your proposal

5.	Capacity of the Participating Organisation(s)

5.1 Template table: Overview of Participating Organisations

Organisation role	PIC	Legal Entity Short Name	Academic organisation (Y/N)	Country	Name of Supervisor
Beneficiary
Associated partner linked to a beneficiary (if applicable)
Associated partner for outgoing phase (mandatory for GF)
Associated partner for secondment (if applicable)
Associated partner for non-academic placement (if applicable)

5.2 Template table: Capacity of the Participating Organisations

Maximum 1 page per Beneficiary and ½ page per Associated partner.

Choose one of: Beneficiary (compulsory) Associated partner linked to a beneficiary (if applicable) Associated partner for outgoing phase (mandatory for GF only) Associated partner for secondment (if applicable) Associated partner for non-academic placement (if applicable)
[Full name + Legal Entity Short Name + Country]
General description
Role and profile of supervisor
Key research facilities, Infrastructure and Equipment
Previous and current involvement in EU-funded research and training programmes/actions/projects

6.	Additional ethics information

Insert here text for your proposal

(NB: Only if you have additional information that could not be included in the ethics self-assessment)

7.	Additional information on security screening

Insert here text for your proposal

(NB: Only if you answered yes to one of the questions in the security issues table, with the exception of “Does this activity involved HE associated and/or third countries?”)

8.	Environmental considerations in light of the MSCA Green Charter

Insert here text for your proposal

9.	Required for Global Fellowships only: Letter of commitment from the associated partner hosting the outgoing phase

Insert here the Letter of commitment (if applicable)

Definition from the European Commission’s High-Level Expert Group on Artificial Intelligence, https://ec.europa.eu/futurium/en/system/files/ged/ai_hleg_definition_of_ai_18_december_1.pdf

Interdisciplinarity means the integration of information, data, techniques, tools, perspectives, concepts or theories from two or more scientific disciplines.

In case your proposal is selected for funding, a more detailed Dissemination and Exploitation plan will need to be provided as a mandatory project deliverable during project implementation

See the definitions section of the MSCA Work Programme for further information.

MSCA Green Charter https://ec.europa.eu/msca/green_charter