Max Weber Fellowship 2027–2028 in Italy
Funded postdoctoral research at the European University Institute with a monthly grant and research support.
The ERA:AI Winter Fellowship 2027 is a 10-week full-time research programme in Cambridge, United Kingdom, focused on Technical AI Safety, AI Governance, and Technical AI Governance. Fellows receive a £10,000 stipend plus travel coverage, visa support, meals during working hours, workspace, mentorship, and research support. Applications close 13 September 2026 at 11:59 p.m. Anywhere on Earth (AoE).
ERA describes the programme as a talent-first fellowship for people who want to work on high-impact questions around advanced AI systems. For Winter 2027, ERA expects roughly 30–35 fellows across three streams. There is no formal degree requirement and prior research experience is not mandatory.
Accommodation note: ERA does not provide or guarantee housing. The stipend includes a housing component, and ERA offers guidance to help fellows find accommodation in Cambridge.
Is the ERA:AI Fellowship fully funded?
Yes. ERA provides a £10,000 stipend and separately covers or supports travel, visas, workday meals, workspace, mentorship, and research support.
Do I need an AI degree or research publications?
No. ERA welcomes applicants from diverse disciplines and career stages, and prior formal research experience is not required.
Is accommodation provided?
No. ERA does not provide or guarantee accommodation, although the stipend includes a housing portion and the programme helps fellows look for housing.
Can I participate remotely?
In-person participation is the default. ERA may discuss remote participation in exceptional cases after selection.
Last verified: September 7, 2026. ScholarshipHubNow verified the stipend, programme dates, deadline, age rule, eligibility, research streams, interview timing, visa support, travel support, meals, accommodation policy, and expected cohort size against ERA's official Fellowship and FAQ pages. Third-party opportunity sites were used only for discovery and competitive-content review.

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