Daphne Jackson Fellowships are retraining fellowships for women and men who have taken a break of two years or more from STEM research for family, caring or health reasons.
Requirements for all candidates
The application process for a Daphne Jackson Fellowship is competitive. Individuals wishing to be considered for a Fellowship must meet the following criteria:
- A career break of at least two years’ duration, taken for family, health or caring reasons
- A good first degree in a science, technology, engineering or mathematics (STEM) subject
- A PhD, or at least three years research experience (academic or industrial) prior to the career break (with evidence of scholarly outputs)
- UK residency status / right to remain in the UK indefinitely and based in the UK on application
- Good command of English (spoken and written)
- Good computer skills
Your application will be stronger if you also have post doctoral experience and peer reviewed publications.
You may return to work during your career break, however, this must not include:
- Lecturing to degree level that takes up more than 0.5 FTE
- Paid research that could lead to publications
- Studying for MSc in a field related to your Fellowship as this would be considered to be retraining
Limited voluntary research during your career break will be considered on a case by case basis.
If you are unsure about where you fit in the above criteria, please contact us.
We will also evaluate applicants for their suitability for a Fellowship, based on the following criteria:
- Personal background and experience
- The potential benefit of a Fellowship on the applicant’s future career
- The likelihood of securing sponsorship
If you meet these criteria and would like to discuss applying for a Fellowship, please contact us.
We, the Daphne Jackson Trust, have the exclusive right to decide if we will accept and process an application for a Fellowship on the basis of these criteria. Our decision is final. We reserve the right to cease an application during the application process if we determine that the likelihood of success is too low to warrant the expenditure of further time and resource.