Registration is now open for the AURORA Marie Skłodowska-Curie Postdoctoral Fellowship (MSCA-PF) Workshop!
The goal of this session is to guide participants through the key information and sections of the call and provide them with skills useful in writing effective and successful fellowship proposals for the upcoming MSCA-PF call.
This is a highly interactive training moment, including some elements of partner work, exercises and discussion, and a special emphasis on sharing and learning from participants’ skills and experiences. To increase impact and applicability, participants will work by practising with real cases whenever possible.
First, participants will be explained the objectives of MSCA-PF grants, eligibility criteria, types of grants, and steps to optimize the grant proposal process. Next, participants will be guided through the development phase of their scientific idea. Finally, they will discuss how to approach the key sections of the proposal, how to address the most important aspects that will be evaluated in each section of the proposal as well as best practices for writing a competitive proposal.
Program
10.00 h – Institutional welcome
10.10 h – Key features of the MSCA-PF call and best practices for proposal writing by Dr Gavin Lucas and Dr Marc Font of ThePaperMill
12.00 h – Coffee break
12.10 h – Expert evaluator, Pasquale Maffia from the University of Glasgow (UK) and the University of Naples Federico II (Italy)
12.25 h – Success stories
12.50 h – Questions and answers (open to all participants)
13.10 h – Closing remarks
The workshop will be delivered in English.
Deadline for registration: July 18 at 09:00 am.
For more information download the flyer or visit https://events.urv.cat/event_detail/86041/detail/workshop-the-key-features-of-the-msca-pf-call-and-good-practices-when-writing-your-proposal.html“
Aurora is a partnership of like-minded and closely collaborating research‑intensive European universities, who use their academic excellence to drive societal change.
Co-funded by the Erasmus+ Programme of the European Union
This project has received funding from the European Union´s Horizon 2020 research and innovation programme under grant agreement No 101035804
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