





WEM Cyber participants are matched with cybersecurity experts through the Women4Cyber Foundation mentorship platform.
The matching process is structured and tailored. Mentors provide personal and professional guidance, share their experience of navigating the field, and help mentees identify and work toward concrete career goals. To further support diversity across Europe, the programme actively prioritises women mentors from widening countries.
Mentorship is provided alongside the project, offering participants a sustained support network beyond the secondment itself, with approximately 2 hours per month over a 4-month period.
Alongside mentorship, WEM Cyber organises coaching sessions led by cybersecurity leaders and entrepreneurs. These sessions are designed to develop an entrepreneurial mindset, helping participants recognise and act on opportunities both within and beyond academia. Several online coaching events run across the duration of the project, giving participants repeated access to practical guddance on career development, leadership, and working across sectors.
WEM Cyber takes a two-step approach to training, starting with a thorough skills assessment before any placement begins.
Each participant completes both a technical skills self-assessment and a soft skills self-assessment. This gives host organisations the information needed to build a personalised development plan .
From there, training is targeted to areas where participants have the most to gain. Every participant receives at least two technical training sessions and one focused on soft skills development. Training covers areas including entrepreneurship, the use of digital tools, and intellectual property management.
All sessions are recorded and made available through the WEM Cyber knowledge transfer platform, so the learning extends to the wider research community involved in the programme.
Information about upcoming webinars will be published soon.
This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101216854. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.
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