Featured image by Brooke Cagle on Unsplash
About the programme
From January 2022, we’re pleased to announce that we’re offering internship projects for students, early career researchers and professionals seeking further experience in research data management, open science and science communication.
The 4TU.ResearchData Internship Programme is a global initiative that welcomes interns from around the world to work with us on FAIR data and open science projects. The primary goal of the programme is to improve the creation and reuse of research data and/or software code in technical science research disciplines.
Internship projects are unpaid and may last from three to twelve months. They can be undertaken on a full-time or part-time basis depending on their scope. Projects can be offered to applicants willing to work remotely. Relocation to the Netherlands for the internship project period is not necessary.
Benefits for interns 🥇
Our internship projects benefit students, early career researchers and professionals by offering them opportunities to:
- Learn about FAIR data and open science within science, engineering and design disciplines.
- Gain experience working at a different research institution and understand how large research-intensive organisations operate within the Netherlands.
- Become familiar with the national (Dutch) and international landscape on open science and FAIR Data and build personal and professional networks within their area of work/interest.
- Boost their professional development and enhance their CV through the development of new skills. This is project-specific but includes developing interpersonal skills such as professionalism, leadership, networking, communication and presentation, as well as technical skills, such as working on open source projects.
- Inform and drive open science and FAIR data initiatives within science, engineering and design research disciplines.
- Present their work at relevant meetings and conferences.
- Opportunity to join the 4TU.ResearchData community.
Benefits for 4TU.ResearchData 🤝
Our internship programme benefits 4TU.ResearchData and its partner organisations by:
- Increasing the visibility and impact of 4TU.ResearchData and its institutional partners.
- Raising awareness about research data management, FAIR Data and open science practices among early career researchers and aspiring data professionals who join as interns worldwide.
- Closing the skills gap as interns gain real-world experience, and learn relevant and necessary skills to pursue a career in the research support domain (third space).
- Providing regular opportunities to identify and recruit future employees to join the organisation and/or partner institutions.
- Aiding community building efforts as interns join the community and enhance the local workforce.
- Increasing productivity as interns assist staff/community members allowing them to dedicate more time to accomplishing high-level tasks.
- Fostering confidence and leadership skills in current employees who co-develop, lead and mentor/supervise internship projects.
- Fostering a global perspective and an inclusive culture as the recruitment of international interns brings novel, diverse and specialised skill sets.
Where to get funding from? 💰
Here are some examples of places where you might want to look for funding for your internship:
- European Erasmus programme for student and staff exchange
- Open Source Programs and Fellowships
- Scholarship finder
- Your home institution
- Your current funder (many funding bodies which sponsor PhD programmes have internship/training schemes)
Note that this list is not exhaustive. There might be other organisations which could support your internship. Also, while we would be happy to support your application as a hosting organisation, we won’t be able to advise you on suitable funding programmes, nor on eligibility.
How to apply
Information about how to apply for each internship project is detailed within the project description. For general information about how to apply to one of our projects, contact our community manager, Connie Clare (email@example.com).
Supervising a project
If you work at a 4TU.ResearchData partner institution and have an idea for an internship project that you would like to suggest and supervise, please contact us for more information on how to get started.
With grateful thanks to Connie Clare, Ashley Cryan, Madeleine de Smaele, Diana Popa, Marta Teperek, Yasemin Türkyilmaz van der Velden, Emmy Tsang, José Carlos Urra Llanusa, Yan Wang and Eirini Zormpa for developing the ideas that lead to the creation of this internship programme.