LaCross AI Institute

Research - Resources - LaCross AI Institute

Resources and Opportunities

The LaCross Institute is pleased to share a compilation of AI research opportunities for the academic community — faculty, Postdocs, Ph.D.s and graduate researchers — seeking to collaborate with industry leaders in artificial intelligence (AI) research. 

Below you will find summaries of various programs at several industry leaders in artificial intelligence. They include descriptions, benefits, timelines and eligibility requirements, as well as links to further information. 

We intend to update this listing periodically. For the latest details check the official program websites and deadlines as the program may vary each year. The information below reflects the most recent cycle's details.

Please email the LaCross AI Institute with questions or if you have an opportunity to add this list.

  • Amazon

    Amazon Science is deeply invested in advancing artificial intelligence and machine learning through robust academic engagement. The company partners with universities and research institutions worldwide, offering funding, compute resources and collaborative opportunities that span foundational and applied AI, data science, economics, robotics, optimization, responsible AI and more. Amazon’s academic programs—including grants, fellowships, postdoctoral appointments, and the Amazon Scholars initiative—empower faculty, Ph.D.s, postdocs, graduate students and academic communities to tackle large-scale technical challenges, drive innovation and democratize access to AI advancements.  

    Focus Areas (2024-25): 

    • Automated reasoning 
    • Cloud and systems 
    • Computer vision 
    • Conversational AI 
    • Information and Knowledge Management 
    • Machine learning 
    • Operations research and optimization 
    • Quantum technologies 
    • Robotics 
    • Search and information retrieval 
    • Security, privacy and abuse prevention 
    • Sustainability 

    Key Academic Programs: 

    Amazon Scholars Program 

    Enables academics to work on large-scale technical challenges at Amazon while continuing their university roles. Focus: Artificial Intelligence, Machine Learning, Computer Vision, Natural Language Processing, Data Science, Economics, Optimization, Quantum Computing, Robotics, Statistics, Sustainability, Operations Research, Environmental Science and Robotics.

    Target Audience: Faculty, senior researchers, academic experts  

    Benefits: Flexible, part-time or sabbatical arrangements; direct impact; access to Amazon data, infra, and teams   

    Application Timeline: Ongoing; apply online, flexible start dates    

    Eligibility: Ph.D. in a relevant field or related discipline; Current affiliation with an academic or research institution 


    Amazon Research Awards (ARA)   

    Funds academic research and open-source contributions in applied ML, reasoning, computer vision, fairness in AI, ML theory, NLP, robotics, security, sustainability, and more.     

    Target Audience: Faculty, research staff, postdocs     

    Benefits: Up to $100K unrestricted funds, up to $250K AWS credits, Amazon research contact, training resources 
        
    Application Timeline:  For spring 2025 apply by May 7, 2025; Fall/Winter 2025 TBD (annual cycles)     

    Eligibility: Full-time faculty or permanent NGO researchers; single PI per proposal, co-PI allowed; global 

     

    Amazon Postdoctoral Science Program    

    One-year, full-time postdoc roles to work on cutting-edge research with Amazon scientists. Focus: AI, ML, NLP, data science, fairness, optimization, robotics, computer vision, responsible AI and more. 
        
    Target Audience:  Recent Ph.D. graduates     

    Benefits: Industry experience, mentorship, publication opportunities, career development 
        
    Application Timeline: Ongoing; apply to open positions on Amazon Jobs 
        
    Eligibility: Ph.D. in relevant field (within two years), strong publication record, data science/quantitative skills 

     

  • Anthropic

    Anthropic is an AI safety and research company focused on building reliable, interpretable and steerable AI systems with a strong emphasis on safety and societal benefit. The company partners with universities and researchers to accelerate scientific discovery, AI safety research, and educational innovation. Anthropic’s programs provide API credits, funding, mentorship and collaboration opportunities for academics — supporting both foundational and applied research in AI, science and education. 

    Focus Areas (2024-2025): 

    • AI Safety & Alignment (adversarial robustness, scalable oversight, interpretability)
    • Generative AI & Large Language Models
    • Responsible & Trustworthy AI
    • AI for Science (biology, drug discovery, genetics, agriculture, climate, environment) 
    • AI for Education (learning tools, critical thinking, academic support)
    • Societal Impact of AI (workforce development, economic prosperity, digital humanities) 

     

    Anthropic Fellows Program 

    Six-month, full-time fellowship for engineers/researchers to transition into frontier AI safety research (robustness, oversight, interpretability). 

    Target Audience: PhDs, postdocs, graduate students, engineers    

    Benefits: $2,100/week stipend, $10k/month compute/research, 1:1 mentorship, workspace, career pipeline   

    Application Timeline: Apply by Jan 20, 2025 for first cohort   

    Eligibility: Strong technical background; open to all backgrounds and career stages; can be concurrent with Ph.D. 
     


    AI for Science Program

    Free API credits for researchers applying generative AI to high-impact science, especially biology, genetics, drug discovery, agriculture, and climate. 

    Target Audience: Faculty, PhDs, postdocs, research staff, students 

    Benefits: Free API credits, access to Claude models, support for scientific research     

    Application Timeline: Applications reviewed monthly; ongoing    

    Eligibility: Researchers at academic or nonprofit institutions; team/project proposal required 

  • Google

    Google is a global leader in AI research, with a broad portfolio spanning foundational machine learning, data science, economics, sustainability, and societal impact. Google Research and its academic programs are designed to foster collaboration with university faculty and support cutting-edge research that addresses real-world challenges. 

    Focus Areas (2024-25): 

    1. Foundational ML & Algorithms: Algorithms & Theory, Data Management, Data Mining & Modeling, Information Retrieval & the Web, Machine Intelligence, Machine Perception, Machine Translation, Natural Language Processing, Speech Processing 
    2. Computing System & Quantum: Distributed Systems & Parallel Computing, Hardware & Architecture, Mobile Systems, Networking, Quantum Computing, Robotics, Security, Privacy, & Abuse Prevention, Software Engineering, Software Systems 
    3. Science, AI & Society: Climate & Sustainability, Economics & Electronic Commerce, Education Innovation, General Science, Health & Bioscience, Human-Computer Interaction and Visualization, Responsible AI

    Key Academic Programs:

    Research Scholar Program

    Supports early-career professors in fields relevant to Google, including, Algorithms and Optimization, ML, Applied Science, Health Research, HCI, privacy, quantum, etc.   

    Target Audience: Early-career faculty

    Benefits: Up to $60,000 unrestricted gift; potential for collaboration; global eligibility

    Application Timeline: Applications typically open in Fall (annual cycle)

    Eligibility: Applicants must be a full-time assistant, associate, or professor at a university or degree-granting research institution and have received their PhD within 7 years at the time of the application submission. Post doctoral staff can only serve as a co-PI, not a primary PI.
     

    Google Academic Research Award (GARA)

    Supports groundbreaking research in computing and technology, focusing each cycle on evolving global challenges. In each funding cycle, the GARA program will publish a series of Requests for Proposals (RFPs) focused on a diverse range of research areas. 2024 focus areas include ML for climate, AI in education, quantum networking, society-centered AI, trust & safety, and Gemini/Gemma for systems.

    Target Audience: All faculty

    Benefits: Unrestricted gifts up to $150,000; mentorship from Google researchers; community of practice

    Application Timeline: Open - June 18, 2025 | Close - July 23, 2025 | Notifications - October 15, 2025

    Eligibility: Applications are open to academic researchers who are currently advising students and conducting research in technology and computing at institutions.
     

    Google Ph.D. Fellowship Program

    Recognizes and supports outstanding Ph.D. students in AI, ML, quantum computing, HCI, privacy, safety, security, optimization, and more.

    Target Audience: Ph.D. students (all regions, all disciplines relevant to Google’s focus areas)

    Benefits: Up to 2 year Fellowship; US $85K per year towards education costs (tuition and fees), living expenses, travel, and personal equipment; Google Research Mentor   

    Application Timeline: Applications open April 10–May 15, 2025; decisions in August 2025 (annual cycle)

    Eligibility: Ph.D. students in relevant fields, nominated by their university; open to all nationalities; must have completed coursework
     

    Google Student Researcher Program

    12–24 week placements in research, engineering, or science roles across Google; hands-on AI research experience.

    Target Audience: Undergraduate, master’s, and PhD students (globally)

    Benefits: Paid placement, collaboration with leading AI researchers, project work 

    Application Timeline: Rolling applications via Google Careers  

    Eligibility: Enrolled in bachelor’s, master’s, or PhD program; placements co-located with host office 

     

    Google Visiting Researcher Program

    Currently not accepting external applications.

  • Microsoft

    Microsoft Research

    Microsoft is a global leader in AI research, partnering with universities and academic communities worldwide to advance foundational and applied AI, responsible and societal AI, economics, productivity and domain-specific innovation. Microsoft’s academic programs — including fellowships, visiting scholar roles, research grants, and compute access — empower faculty, Ph.D.s, postdocs and students to collaborate on cutting-edge research, drive enterprise and societal impact and accelerate AI adoption across disciplines, including business and management.

    Focus Areas (2024-25): 

    • Foundation Models & Generative AI 
    • Responsible & Societal AI (ethics, fairness, privacy, safety) 
    • AI & Cognition, Future of Work, and Economics 
    • Productivity & Enterprise AI (Copilot, M365, domain-specific AI) 
    • Computer Vision, NLP, Multimodal AI 
    • AI for Science, Health, and Climate 
    • AI for Domains (ecology, environment, finance, business, education, health care, logistics) 
    • Small Language Models (Phi, Orca) 
    • Robotics, Autonomous Systems, and AIOps 
    • AI for Good & Social Impact 
    • Technology for Emerging Markets   


    AI & Society Fellows

    Catalyzes research collaboration between Microsoft Research and scholars on AI’s societal impact: ethics, governance, economics, law, policy and more.
     

    Target Audience: Faculty, postdocs, researchers, policy experts 

    Benefits: Research funding, collaboration, publication, networking

    Application Timeline: Call for proposals for 2024 closed; 2025-26 TBD

    Eligibility: Faculty, postdocs, and experts in relevant fields; global; proposal required

  • NVIDIA

    NVIDIA Research

    NVIDIA is a global leader in AI, accelerated computing and graphics research. Its academic engagement spans foundational and applied AI, generative models, robotics, high-performance computing, simulation, computer vision, and more. NVIDIA’s programs are designed to foster collaboration with faculty, students and researchers across disciplines — including business, economics and management — supporting innovation and real-world impact.

    Focus Areas 2024-25:

    • Artificial Intelligence & Machine Learning 
    • Generative AI (training, alignment, inference, agentic models) 
    • Algorithms & Numerical Methods 
    • Computer Vision 
    • Computer Graphics & Rendering 
    • Robotics & Autonomous Systems 
    • High-Performance Computing (HPC) 
    • Simulation & Modeling (including scientific, economic, and business applications) 
    • Quantum Computing & Physics-Informed ML 
    • Human-Computer Interaction 
    • Medical AI & Healthcare 
    • Circuits, VLSI Design, and Hardware Architecture 
    • Networking & Systems 
    • Applied Perception & Esports 
    • VR, AR and Display Technology 
    • Resilience & Safety 
    • Economics, Optimization, and Operations Research (e.g., logistics, supply chain, cuOpt) 
    • Climate Science & Social Good


    Key Academic Programs:
     

    NVIDIA Graduate Fellowship Program

    Funding and mentorship for PhD students in artificial intelligence, robotics, autonomous vehicles, and related fields.

    Target Audience: Ph.D. students in Computer Science, Computer Engineering, System Architecture, Electrical Engineering, or a related area.

    Benefits: Up to $60,000 (stipend, tuition, fees), mentorship, summer internship at NVIDIA 

    Application Timeline: Aug–Sept 13, 2024; results Nov 2024; internship summer 2025 (annual cycle) 

    Eligibility: Full-time Ph.D. students (completed first year), research in relevant fields, available for internship, no close family at NVIDIA 
     

    NVIDIA Academic Grant Program 

    Grants and computing resources for research in generative AI: training and model development, alignment and inference, and simulation and modeling.

    Target Audience: Faculty

    Benefits: Access to NVIDIA solutions for research and education; letters of support for grant applications related to your project; Opportunities to present at GTC and network through NVIDIA’s global channels.  

    Application Timeline: Proposals due Sept 30, 2025 (rolling after); awards Dec/March

    Eligibility: Must be a full-time faculty member at an accredited academic institution that awards research degrees to doctoral students. 

     

    NVIDIA Research Programs

    Summer Internships or Research Scientists in AI, ML, robotics, graphics, programming systems and more. 

    Target Audience: Master’s and Ph.D. degree holders

    Benefits: Paid internships or positions; collaboration with leading AI researchers on groundbreaking project work; potential publishable research and work applicable to student doctoral dissertations.   

    Application Timeline: Rolling applications via NVIDIA Careers 

    Eligibility: Master’s or Ph.D. degree in specific areas as required in the job post 

  • Open AI

    OpenAI is a leading AI research organization focused on developing safe and beneficial artificial intelligence. OpenAI partners with top universities and research institutions worldwide, offering funding, compute resources, API credits and collaborative opportunities. Its academic programs empower faculty, PhDs, postdocs, graduate students and academic communities—including those from business schools—to advance responsible AI, AI safety, alignment, policy and real-world applications across disciplines. 

    Focus Areas (2024-25):

    • AI Safety & Alignment (robustness, interpretability, scalable oversight, adversarial robustness) 
    • Responsible & Societal AI (policy, governance, fairness, risk mitigation) 
    • Generative AI & Foundation Models (LLMs, multimodal models, applied AI) 
    • AI for Business, Economics, and Public Policy 
    • AI for Science, Health, and Climate 
    • AI for Education and Digital Humanities 
    • AI Literacy and Workforce Development

    OpenAI Researcher Access Program  

    Subsidized API credits for research on responsible AI deployment, risk mitigation, and societal impacts. 
        

    Target Audience: Faculty, PhDs, postdocs, graduate students, researchers 

    Benefits: Up to $1,000 in API credits (valid 12 months), access to all public models 

    Application Timeline: Accepted year-round; reviewed quarterly (Mar/Jun/Sep/Dec); decisions in 4–6 weeks after review  

    Eligibility: Researchers with active academic/nonprofit affiliation; global (API-supported countries); all disciplines, especially those with limited resources 

  • Sony

    Sony is a global leader in AI and machine learning research, integrating advanced AI across entertainment, electronics, imaging, sensing, robotics, and financial services. Sony’s research focuses on developing high-performance, responsible, and explainable AI for real-world applications—spanning creative industries, scientific discovery, personalization, and ethical AI. Through its Sony Research Award Program and collaborations, Sony partners with universities and research institutions worldwide to foster innovation, support academic research, and address grand challenges in AI, creativity, and societal impact.
     

    Focus Areas (2024-25):

    • AI & Machine Learning
    • Computer Vision & Image Recognition
    • Audio, Speech, and Language Processing
    • AI for Creators & Content Generation
    • Robotics & Interactive Agents
    • Scientific Discovery (AI4Science)
    • Responsible & Ethical AI
    • Business & Data Analytics
    • Sustainability & Social Good
    • AR/VR, Human Sensing & Interaction


    Sony Research Award Program (RAP)

    Sponsored research program for faculty and researchers in AI, ML, vision, audio, robotics, content creation, sustainability, and more. 

    Two Tracks: Faculty Innovation Award (up to $100K), Focused Research Award (up to $150K).

    Target Audience: Faculty, research staff, postdocs, PhDs, research teams

    Benefits: Research funding, collaboration with Sony researchers, access to Sony technology, and publication opportunities

    Application Timeline: Annual call for proposals (July–Sept); awards announced Jan–Mar; 2025 TBD

    Eligibility: Faculty and researchers at universities and research institutions in US, Canada, Europe, India, and other specified countries; PIs must be a full-time professor or researcher and be eligible to supervise PhD students at the PI’s institution.