Fire Science Innovations through Research and Education (FIRE) program is sponsored by National Science Foundation (NSF). This program invites innovative multidisciplinary and multisector investigations focused on convergent research and education activities in wildland fire. It supports research that can inform risk management and response, adaptation, and resilience across infrastructures, communities, cultures, and natural environments. Relevant topics include developing novel materials and methods for retrofitting existing buildings and remediating buildings following wildfire and smoke events.

Environmental Engineering is sponsored by U.S. National Science Foundation. The Environmental Engineering program supports transformative research that applies scientific and engineering principles to minimize discharges from human activities and to remove or reduce contaminants from polluted air, water, and soils. This includes enhancing high-quality water supplies through innovative biological, chemical, and physical treatment processes. Nanobubble technology for water treatment would align with these objectives.

The UKRI Policy Fellowships 2025, funded by the Economic and Social Research Council, offer 18-month placements for academics to co-design research with UK government and What Works Network host organizations. Awards range from £180,000 to £280,000 and support three fellowship tracks: core policy fellows, Natural Hazards and Resilience policy fellows, and What Works Innovation fellows. Applicants must hold a PhD or equivalent research experience, be based at a UKRI-eligible UK organization, and possess relevant subject matter or methodological expertise. Government-hosted positions target early to mid-career academics, while What Works fellowships welcome all career stages. Fellows work directly with policymakers to bridge academic research and policy development on pressing national and global challenges. The application deadline is July 15, 2025.

The Smart Data Research UK Fellowships provide up to £200,000 per project for researchers using smart data to address real-world challenges across the United Kingdom. Funded by UKRI through Smart Data Research UK, this program supports up to ten projects lasting 18 months, with start dates by February 2026. Applicants must be based at eligible UK organizations and demonstrate strong data skills with a compelling research question aligned to one of four SDR UK themes: productivity and prosperity, health and wellbeing, sustainability, or communities and places. Researchers at all career stages may apply, with early career researchers particularly encouraged. Projects may use smart datasets from SDR UK's six national data services or combine smart data with administrative and survey data sources.

The Ernest Rutherford Fellowship 2025 from the Science and Technology Facilities Council (STFC) supports early career researchers pursuing independent research within STFC's core science programme. Fellowships last up to five years and are funded at 80% of full economic cost, with the host organization covering the remainder. Applicants must hold a PhD or equivalent experience, demonstrate clear leadership potential, and be hosted by an eligible UK research organization with an STFC ERF quota. Candidates currently holding tenured academic positions at lecturer level are not eligible. Each host department has a strict application limit, so prospective fellows should contact their proposed department well ahead of the October 2025 deadline to confirm accommodation within the quota.

Mathematical Biology Program is a grant from NSF that funds research in applied and computational mathematics with relevance to the biological and life sciences. The program supports projects across all areas of mathematical sciences that demonstrate strong integration between mathematics and biology. Successful proposals must show mathematical innovation, biological relevance and significance, and rigorous interdisciplinary methods. Projects may include development of new mathematical theories, methodologies, and computational tools aimed at advancing the life sciences. Eligible applicants are typically academic researchers and institutions. Award amounts and deadlines vary by submission cycle.