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Teagasc Walsh MSc Scholarship in Ireland

Teagasc, in collaboration with Wageningen University & Research (WUR) and ZALF (Leibniz Centre for Agricultural Landscape Research), invites applications for a MSc Walsh Scholarship as part of the agriRDM project.

The scholarship is open to candidates of all nationalities with a first-class or upper second-class honours degree (or equivalent) in a relevant field such as agricultural science, behavioural science, psychology, or sociology. Applicants should have experience with both qualitative and quantitative research methods, including survey design, interviews, and stakeholder engagement.

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Teagasc, Ireland’s Agriculture and Food Development Authority, is a semi-state organization dedicated to advancing the agri-food sector through research, advisory services, and education. Established in 1988, it supports farmers, food producers, and rural communities by providing science-based solutions to enhance profitability, competitiveness, and sustainability. With a network of research centers, advisory offices, and colleges across Ireland, Teagasc employs around 1,100 staff and manages an annual budget exceeding €160 million, funded largely by state grants and EU programs.

Application Deadline: June 20, 2025 (5:00 pm Irish Time)

Brief Description

  • University or Organization: Teagasc (Ireland), Wageningen University & Research (WUR), and ZALF (Germany)

  • Department: Agricultural Research / Behavioural Science

  • Course Level: MSc (Master’s)

  • Award: €31,000 per annum (including a stipend of €25,000 and university fees up to €6,000)

  • Access Mode: Online application via email

  • Number of Awards: One (1)

  • Nationality: Domestic and International

  • The award can be taken in: Ireland (Teagasc, Athenry, Co. Galway, or other Teagasc locations), with research visits to the Netherlands and Germany

Eligibility

  • Eligible Countries: Open to all nationalities

  • Acceptable Course or Subjects: The scholarship will be awarded in agricultural science, behavioural science, psychology, sociology, or related fields.

  • Admissible Criteria:

    • A first-class or upper second-class honours degree (or equivalent) in a relevant discipline (e.g., agricultural science, behavioural science, psychology, sociology).

    • Experience with both qualitative and quantitative research methods, including survey design, interviews, and stakeholder engagement.

    • Interest in agri-food research, open science, and research data management (prior knowledge of FAIR principles is beneficial but not mandatory).

    • Strong communication and interpersonal skills, with the ability to work independently and in an interdisciplinary team.

    • Proficiency in English (written and spoken). International applicants may need to demonstrate English language competency per host institution guidelines.

How to Apply

Interested candidates should submit the following application materials:

  1. Curriculum Vitae (CV) – outlining academic qualifications, research experience, and relevant skills.

  2. Cover Letter – explaining interest in the MSc research, relevant background, and how the candidate’s expertise aligns with the project.

  3. Contact details of two academic referees.

Application Submission:

  • Email the application as a single PDF or separate documents to Dr. John Hyland at [email protected]

  • Email Subject Line: “agriRDM MSc Scholarship Application”

  • Shortlisted candidates will be contacted for an interview (virtual interviews may be conducted).

  • The expected start date is September 2025 (or as soon as possible thereafter).

Benefits

  • Full funding covering tuition fees (up to €6,000) and an annual stipend (€25,000).

  • Opportunity to conduct research in an international collaborative environment, with supervision from experts at Teagasc, WUR, and ZALF.

  • Research visits to partner institutions in the Netherlands and Germany, gaining access to their agricultural science communities.

  • Contribution to a high-impact project aimed at advancing open science and data management in the agri-food sector.

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