Applications are now open for The Google Research Scholar Program 2025, an initiative aimed at supporting early-career professors who are conducting research in fields relevant to Google. This program provides unrestricted gifts to institutions around the world, fostering world-class research and encouraging long-term collaborations with new professors. Here are the details.
Google Research Scholar Program Overview
The Google Research Scholar (RS) Program is designed to empower the next generation of leading academics by providing vital support for their research initiatives. By investing in rising stars, the program seeks to accelerate the pace of knowledge creation and address some of the world's most pressing challenges.
Funding and Awards
The program offers funding of up to $60,000 USD per award. These funds are intended to support the advancement of the professor's research efforts and are disbursed as unrestricted gifts to the university. The funds are specifically meant for use during the academic year in which the award is provided.
Google Research Scholar Program Eligibility Criteria
To be eligible for the Google Research Scholar Program 2025, applicants must meet the following criteria:
Position: Must be a full-time assistant, associate, or professor at a university or degree-granting research institution at the time of application submission.
PhD Requirement: Must have received their PhD within seven years of submission (e.g., applicants in 2024 must have received their PhD in 2017 or later).
Exceptions: Consideration is given to applicants who have been teaching for seven years or fewer and had delays, such as working in industry, parental leave, or leave of absence.
Application Limit: Applicants can submit one application per round and can apply a maximum of three times within the seven years post-PhD.
Benefits for Participants
Participants in the Google Research Scholar Program 2025 benefit from:
Financial Support: Up to $60,000 USD to support research efforts.
Collaboration Opportunities: Encouraging the formation of long-term relationships with Google.
Recognition: Enhancing the profile and credibility of early-career professors.
Global Impact: Contributing to the advancement of knowledge and addressing global challenges.
Research Focus Areas
The program encourages project proposals in areas that align with Google's research interests, including:
1. Algorithms and optimization
Combinatorial optimization
Market algorithms
Operations research
Continuous optimization and learning
Scalable algorithms
2. Applied Sciences in LLMs
Applications: Utilizing large language models to advance specific scientific fields.
Foundations & Agentic Tasks: Building, tuning, or deploying large models for research, integrating with specialized tools, developing agent-based models, enhancing literature synthesis, and accelerating analysis and experimentation.
Evaluation: Developing datasets or methods to benchmark and evaluate large models for coding, domain-specific knowledge, factuality, grounding, multimodal capabilities, and multi-step scientific reasoning.
HCI (Human-Computer Interaction): Enhancing scientific workflows and automating simulation pipelines with large language models and human-in-the-loop interaction.
3. Health research
Generating and understanding large datasets of the world to derive useful insights for improving population health, especially in under resourced regions or communities
Novel algorithm development for better understanding of complex medical data, with focus areas in novel methods, novel applications, or underserved settings
Novel methods, including both software and hardware, that helps extract health insights cheaper, faster, or better.
4. Human-computer interaction
Human-AI Collaboration: Novel interaction paradigms, explainable AI, and trust in AI systems.
AI for Accessibility: Leveraging AI to make technology more inclusive.
Responsible AI in HCI: Ethical, fair AI systems that respect user privacy and agency.
Interactive Machine Learning: Enabling users to understand, control, and interact with ML models.
5. Learning algorithms & techniques
Learning theory
Federated learning
Information theory
Optimization for ML algorithms
Reinforcement learning
Robotics
Recommender systems
6. Privacy, safety, and security
Novel applications of AI for privacy, security, and safety
Ensuring the privacy, security, and safety of AI systems
User and measurement studies of privacy, security, and safety
Applied cryptography
Differential privacy
Hardware security and side-channel analysis
Software vulnerabilities, software supply chains, and fuzzing
7. Quantum computing
Quantum algorithms
Quantum machine learning
Quantum error correction
Early fault-tolerant quantum computing
NISQ experiments
Superconducting qubits
Neutral atom quantum computing
🌐 See the list of all focus areas here
Application Process
The application process for the Google Research Scholar Program 2025 are submitted online through the designated online application portal.
🗓️ Applications open form December 20, 2024, and close on January 27, 2025.
🔗 OFFICIAL LINK
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