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Meta's LLM Evaluation Research Grant funds the unglamorous half of frontier AI research - building the benchmarks that tell you whether a model can actually do what it appears to do. The premise Meta states is that as models move from answering queries to acting on the world and reacting to the results of their actions, existing benchmarks stop measuring anything useful, and new evaluations are needed before those models can be trusted.
Proposals must contribute to a new library of evaluations across three named areas. Complex reasoning covers mathematical reasoning, tool integration, hierarchical planning, memory, and reasoning types. Emotional and social intelligence covers emotion recognition, empathy, intent understanding, theory of mind, and multimodal emotion recognition.
Agentic behavior covers web, desktop and app environments, steerability, personalisation and retrieval capabilities. The structure is unusually concentrated: up to four awards of 200,000 dollars each, inclusive of overhead, awarded to individual faculty principal investigators rather than consortia.
Eligibility is narrow and worth checking before investing effort - the PI must be current full-time faculty at an accredited academic institution that awards PhD degrees, which excludes teaching-focused institutions, industry researchers, postdocs and independent labs. There are also sanctions-related and political-affiliation exclusions, and a mandatory in-person workshop in London that recipients must attend.
The application package is light by federal standards: a two-to-four page project summary, a one-page budget description, CVs for all participants and organisation details.
Meta runs this grant in annual rounds; the round documented on the official page closed 6 September 2024 and press coverage indicates a subsequent round closed 15 March 2026, so the programme recurs and the right move is to watch the page rather than assume it has ended.
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Or search similar grants →According to the current listing, eligibility includes: The principal investigator must be current full-time faculty at an accredited academic institution that awards PhD degrees - this excludes postdoctoral researchers, industry researchers, independent laboratories, and institutions that do not confer doctorates. One principal investigator per proposal, and the PI must be the grant recipient. Applicants must be compliant with U.S. and international law and must not reside in or be affiliated with institutions in U.S. trade-sanctioned countries. Government officials, political figures and politically affiliated businesses are excluded. Recipients are required to attend an in-person workshop in London (dated 29-30 October 2024 for the documented round), and attendance is a condition rather than an option. Awards are up to four in number at 200,000 US dollars each, inclusive of overhead, so institutional indirect costs come out of the award rather than on top of it. Proposals must fall within three defined research areas: complex reasoning (mathematical reasoning, tool integration, hierarchical planning, memory, reasoning types), emotional and social intelligence (emotion recognition, empathy, intent understanding, theory of mind, multimodal emotion recognition), and agentic behavior (web, desktop and app environments, steerability, personalisation, retrieval capabilities). The submission package is a project summary of two to four pages, a one-page budget description, CVs for all participants, and organisation details, submitted through Meta's research awards portal. The deadline shown on the official grant page is Friday 6 September 2024 at 11:59pm PT for that round, with reporting indicating a later round closed 15 March 2026; this is a recurring annual programme, so confirm the current round's deadline, award count, workshop obligation and eligibility directly with Meta before preparing a proposal. Confirm the full requirements in the official notice before applying.
The current listing shows meta states the award structure precisely: a total of up to 4 awards of 200,000 US dollars each are available, and each award is inclusive of overhead. That last clause is the operative detail for university budget offices - the 200,000 dollars is not a direct-cost figure to which indirect can be added, so an institution charging 50 or 60 percent overhead is working with roughly 125,000 to 133,000 dollars of usable direct cost. Because every award is the same size, amount_min and amount_max are both set to 200,000. There is no partial-award tier and no larger track. The award also carries a non-financial obligation with real cost: the principal investigator must attend a workshop in London, and travel for that is not separately funded in the published terms. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Meta Large Language Model (LLM) Evaluation Research Grant for Complex Reasoning, Emotional and Social Intelligence and Agentic Behavior Benchmarks is funded by Meta (Meta Platforms, Inc.). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The Merck Stimulating Innovative Research Grant Program 2026 includes a dedicated grant topic for artificial intelligence in cell culture media and process development, offering up to EUR 150,000 per year for up to 3 years. The program accelerates innovation through collaborative research, early engagement with industry experts, and translation of novel ideas into practical solutions. In 2026, priority areas also include in-vitro models for neuroinflammatory diseases (EUR 250,000/year for 2 years) and innovative approaches to contaminated materials remediation (EUR 150,000/year for 2 years). The two-stage application process begins with non-confidential submissions, followed by deep-dive workshops where finalists collaborate with Merck scientists and managers to jointly optimize proposals. The AI-specific grant focuses on applying machine learning and AI to optimize cell culture media formulation, bioprocess parameter optimization, and manufacturing quality control.
The Sony Research Award Program is Sony's principal channel for funding external academic research, and the Focused Research Award is its collaborative track: up to 150,000 dollars for focused joint research between a university or research institute and Sony. The 2026 research areas are unusually broad for a corporate program and cover most of the modern AI stack alongside Sony's hardware interests - AI and large language models, computer vision, machine learning, robotics, human-computer interaction, affective computing, speech and language technologies, audio technologies, RF sensing, wireless communications, cybersecurity, sports technology, digital humans, generative AI, content creation and neural rendering, plus device-level areas including MicroLED and optical metasurfaces. For AI and robotics groups this makes it one of the wider corporate calls available, though the breadth is deceptive: Sony funds work that connects to its own research agenda, and proposals are strongest when there is an identifiable Sony research counterpart for the collaboration. Eligibility is tightly drawn around the principal investigator rather than the institution. The PI must be a full-time faculty member or researcher at a recognized institution - Assistant Professor, Associate Professor, Professor or equivalent researcher - and must be able to supervise PhD students. Co-PIs are permitted but must be from the same institution and meet the same requirements, which rules out the cross-institutional consortia common in public funding. The 2026 deadline is 15 September 2026 at 11:59pm Pacific, with a separate India-specific time given as 16 September 2026. Submission guidelines are on the Sony Research Award Program site.
The Meta Research PhD Fellowship supports doctoral students conducting research in areas central to Meta's technical agenda, with several of its annual award tracks dedicated to artificial intelligence and machine learning. Current AI-relevant tracks include AI System Hardware/Software Co-Design (high-performance AI algorithms spanning model compression, numerical optimization, benchmarking, and distributed inference and training), Applied Statistics (bias and variance estimation and correction in models and datasets, uncertainty quantification), AR/VR Human Understanding (efficient ML techniques that run on AR/VR devices), and Programming Languages (program synthesis, probabilistic and differentiable programming). Recipients receive two years of paid tuition and fees, a $42,000 annual stipend covering living expenses and conference travel, and a paid visit to Meta headquarters for the annual Fellowship Summit; the award carries no intellectual property claim on the student's research. The 2027 cycle opened August 3, 2026 with applications closing September 20, 2026, reference letters due in October 2026, and winners notified in January 2027.