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Enhancing the Security, Privacy and Robustness of AI Models and Systems (SecureAI) is sponsored by European Commission — Horizon Europe. Expected Outcome: Proposals are expected to contribute to one or more of the following: Robust AI models and systems capable of resisting different classes of adversarial manipulation; Innovative defence mechanisms for AI models and systems against new attack families; Methodologies for detecting and mitigating attacks, such as data poisoning, backdoor exploitation and misclassification; AI systems leveraging privacy-enhancing technologies that maintain data confidentiality and regulatory compliance, enabling trusted in-house AI deployments (e.g., for governments and enterprises). Scope: The increasing reliance on AI in cybersecurity, critical infrastructure, and decision-making processes raises concerns about the security and robustness of AI systems. As AI systems become more prevalent, they are increasingly targeted by adversarial attacks that manipulate inputs, compromise training data, or introduce hidden vulnerabilities. This topic aims to strengthen the resilience of AI systems and algorithms against various threats and attacks, such as enhancing their resilience against adversarial attacks, backdoor injections, and data poisoning. Proposals should develop real-time anomaly detection, mitigation techniques to defend against adversarial attacks and robust federated learning techniques, in synergies with leading efforts on AI transparency, and in compliance with the AI Act. The topic is expected to: Develop robust AI models resistant to adversarial attacks. Exploring techniques to harden AI models and systems against adversarial perturbations, such as adversarial training, robust optimisation, and defence mechanisms that enhance the trustworthiness of AI. Improve detection of manipulated or poisoned training data. Advancing methodologies to identify and mitigate compromised datasets, leveraging techniques such as anomaly detection, provenance tracking, and automated data validation mechanisms. Address the concept of Private AI by developing mechanisms that enable AI models to be trained, deployed and operated in privacy-preserving environments, particularly for sensitive use cases, as for example for government and enterprise settings. This includes ensuring AI computations and data remain within trusted execution boundaries (e.g. on-premise or regulated cloud environments), and leveraging existing and emerging privacy-enhancing techniques such as federated learning, secure aggregation, computing on encrypted data, quantum-safe homomorphic encryption and secure inference in deep learning to safeguard the protection of personal and other sensitive data throughout the AI lifecycle.
Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Civil Security for Society, Cybersecurity
Keywords: Artificial Intelligence & Decision support, Artificial intelligence, Artificial intelligence, intelligent systems, multi agent systems, Cybersecurity, Cybersecurity Domains, Data Security and Privacy, Security Management and Governance, Security support in programming environments, AI Act, AI transparency, Private AI, adversarial training, adversarial attacks, anomaly detection, automated data validation, federated learning techniques, privacy-preserving environment, provenance tracking, quantum-safe homomorphic encryption, real-time anomaly detection, resilience of AI systems, secure aggregation, security and robustness of AI systems
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Or search similar grants →According to the current listing, eligibility includes: Open to legal entities established in EU Member States and countries associated to Horizon Europe (including EEA/EFTA countries, and other associated third countries). Action type: HORIZON-IA HORIZON Innovation Actions. Additional conditions: "> General conditions 1. Admissibility Conditions: Proposal page limit and layout described in Annex A and Annex E of the Horizon Europe Work Programme General Annexes. Proposal page limits and layout: described in Part B of the Application Form available in the Submission System. 2. Eligible Countries described in Annex B of the Work Programme General Annexes. A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making... See the official call documentation on the F&T Portal for full eligibility criteria and participation rules. Confirm the full requirements in the official notice before applying.
Applications for Enhancing the Security, Privacy and Robustness of AI Models and Systems (SecureAI) are due September 15, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Enhancing the Security, Privacy and Robustness of AI Models and Systems (SecureAI) is funded by European Commission — Horizon Europe. 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.
ERC ADVANCED GRANTS is sponsored by European Commission — Horizon Europe. Expected Outcome: Objectives and profile of the ERC Advanced Grant Principal Investigator The objective of the Advanced Grant is to support excellent Principal Investigators that are established research leaders. An ERC Advanced Grant Principal Investigator is expected to be an active researcher with a track record of significant research achievements. Size of ERC Advanced Grants Advanced Grants may be awarded up to a maximum of EUR 2 500 000 for a period of 5 years . The maximum amount of the grants is reduced pro rata temporis for projects of a shorter duration. Additional funding up to EUR 1 000 000 * can be requested to cover further eligible costs (e.g. start-up costs, major equipment, access to large facilities, major experimental and field work costs) when these are necessary to carry out the proposed work. The requests for additional funding must be duly justified in the proposal. Additional funding is not subject to pro rata temporis reduction for projects of shorter duration. * Except for Principal Investigators in Starting, Consolidator, or Advanced Grant re-locating to the EU or an Associated Country from elsewhere to take up their ERC grant. In this case, the maximum additional funding shall be EUR 2 000 000. The Advanced Grant is awarded as a single lump sum contribution for the entirety of the project (broken down by beneficiaries – where applicable) based on a realistic estimate of the actual cost of the project, and fully covering the work to be implemented in the proposed action. For further information, please see the ERC Work Programme 2026 . Programme areas: Horizon Europe (HORIZON), Excellent Science, European Research Council (ERC) Keywords: Advanced Grant, ERC, European Research Council, Excellent Science, Frontier Research
ERC PLUS GRANTS is sponsored by European Commission — Horizon Europe. Expected Outcome: Objectives and profile of the ERC Plus Grant Principal Investigator The ERC Plus Grant supports outstanding Principal Investigators who address a major scientific challenge. Applications for ERC Plus Grants should be for projects that could not be carried out with a regular ERC grant. Applicants should explain how the proposed project aims go beyond those of a regular ERC project, for example, because they have a vision to transform their field or open a new field of research. Scholars at all career stages can apply for an ERC Plus Grant if they have an outstanding record of scientific achievement at the forefront of their field. Their intellectual leadership will be evaluated in comparison to peers at their own career stage. It is expected that a researcher may be the Principal Investigator of only one ERC Plus Grant in their lifetime. Applicants should be aware that every year, only some 30 ERC Plus Grants can be awarded across all fields and all career stages, compared to approximately 1000 Starting, Consolidator and Advanced Grants. This level of competitiveness should be taken into account when considering whether to submit an application. Size of ERC Plus Grants ERC Plus Grants may be awarded up to a maximum of EUR 7 000 000 for a minimum of four years or forty-eight months and up to seven years or eighty-four months. The maximum amount of the grant is not reduced pro rata temporis for proposals of shorter duration. No additional funding is provided for ERC Plus Grants. The ERC Plus Grant is awarded as a single lump sum contribution for the entirety of the project (broken down by beneficiaries – where applicable) based on a realistic estimate of the actual cost of the project, and fully covering the work to be implemented in the proposed action. For further information, please see the ERC Work Programme 2026 . Programme areas: European Research Council (ERC), Excellent Science, Horizon Europe (HORIZON) Keywords: ERC, ERC Plus, ERC-2026-Plus, European Research Council, Excellent Science, Frontier Research, HORIZON-ERC-2026, Lump sum
HORIZON-JU-EDCTP3-2026-Scientific Leadership Man EU Prize is sponsored by European Commission — Horizon Europe. Objective: 1. Background The EDCTP Prizes 2026-2027 are recognition prizes funded under Horizon Europe. Prizes are financial contributions given as rewards following the publication of a contest. A ‘recognition prize’ is used to recognise past achievements and outstanding work after it has been performed, whereas an ‘inducement prize’ is used to spur investment in a given direction, by specifying a target prior to the performance of the work. Applications will have to clearly state the involvement of the applicants in the research and innovation activities within the remit of the Global Health EDCTP3 programme. Applicants will have to provide proof of eligibility and a written presentation of the achievements, which will be presented to an independent panel of experts for evaluation. The amounts of the prizes are specified in section 3. They are not linked to the costs incurred by the winner. 2. EDCTP3 Prizes 2026 and related award criteria The prizes will be awarded to the entry that, in the opinion of the independent expert jury, demonstrates having best addressed the cumulative criteria specified under the respective descriptions below. Applications will be graded on a total of 100 points. Where relevant, the number of points for each award criterion is indicated below. Scientific Leadership Prize (four prizes) These prizes will be awarded to four different profiles and aim to recognise growing mid-career scientists: - Two Scientific Leadership Prizes (one woman and one man) for researchers who are permanent residents of an EU Member State or a country associated with the Horizon Europe programme; - Two Scientific Leadership Prizes (one woman and one man) for researchers who are permanent residents of a sub-Saharan African country which is a constituent state of the EDCTP Association. Award criteria These prizes are awarded to the entries that best address the following cumulative criteria based on their application, that should also include a letter of support from other member(s) of the research community: Scientific contribution and excellence: Contestants should have made significant achievements in their field and will continue to be leaders in their research field (50 points). Impact: Contestants should have made major contributions to the objectives of the Global Health EDCTP3 programme to strengthen research capacity in sub-Saharan Africa and to support South-South and North-South networking (50 points). 3. Available budget The prizes budget is: Four Scientific Leadership prizes: EUR 15,000 each. 4. Timetable and deadlines As indicated in the Funding & Tenders Portal. Additional information on the Global Health EDCTP3 site 5. Admissibility and documents Applications must be submitted before the contest deadline . Applications must be submitted electronically via the Funding & Tenders Portal Electronic Submission System (accessible via the Topic page in the Search Funding & Tenders section). Paper submissions are NOT possible. Applications (including annexes and supporting documents) must be submitted using the forms provided inside the Submission System ( NOT the documents available on the Topic page — they are only for information). Applications must be complete and contain all the requested information and all required annexes and supporting documents: Application Form Part A — contains administrative information about the applicant (to be filled in directly online) Application Form Part B — contains the technical description of the application (to be downloaded from the Portal Submission System, completed and then assembled and re-uploaded) mandatory annexes and supporting documents (to be uploaded) : letter(s) of support from a reputable scientist and short CV of the person providing the letter. CV of the applicant(s). Your application must be readable , accessible and printable . Applications are limited to maximum 45 pages (Part B). Evaluators will not consider any additional pages. The application Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Health Keywords: Africa, EDCTP3, Scientific Leadership, edctp
NVIDIA Graduate Fellowship Program is a grant from NVIDIA providing up to $60,000 per award to PhD students conducting research that advances accelerated computing and its applications. Now in its 25th year, the program invites nominations from doctoral students pushing the boundaries of artificial intelligence, robotics, autonomous vehicles, and related fields. Recipients receive not only research funding but also access to NVIDIA technology, products, and engineering expertise, along with a mandatory in-person summer internship. Students are nominated by their faculty advisors and selected based on academic achievement and research area alignment.
Nebius Research Grants Program is sponsored by Nebius. The Nebius research grants program provides researchers with free access to GPU cloud, AI models, and Tavily's agentic search engine, along with Nebius' expertise to accelerate discovery and deployment in AI. It supports academic or scientific projects with clear objectives, innovative use of GPUs for AI, machine learning, data analytics or HPC, and demonstrated feasibility and potential impact.
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