Samsung has explored opportunities to build research partnerships with academia and research institutions to create the future.
SAIT is actively engaged in the pursuit of open innovation to foster the discovery of new ideas and technological breakthroughs. To develop core technologies along our selected research directions, we have created research collaborations with external partners. In addition, we have forged close strategic relationships with global universities to resolve the significantly challenging technology issues and achieve collaboration results that align with the strategic vision and goals of both parties.
Samsung offers a specific collaboration platform for global universities: the Global Research Outreach (GRO) program. The GRO program is an annual call for proposals that invites the world’s leading universities to propose innovative research ideas that will be evaluated for their novelty and alignment with Samsung’s various research fields.
Samsung has explored opportunities to build research partnerships with academia and research institutions to create the future.
SAIT is actively engaged in the pursuit of open innovation to foster the discovery of new ideas and technological breakthroughs. To develop core technologies along our selected research directions, we have created research collaborations with external partners. In addition, we have forged close strategic relationships with global universities to resolve the significantly challenging technology issues and achieve collaboration results that align with the strategic vision and goals of both parties.
Samsung offers a specific collaboration platform for global universities: the Global Research Outreach (GRO) program. The GRO program is an annual call for proposals that invites the world’s leading universities to propose innovative research ideas that will be evaluated for their novelty and alignment with Samsung’s various research fields.
Samsung has explored opportunities to build research partnerships with academia and research institutions to create the future.
SAIT is actively engaged in the pursuit of open innovation to foster the discovery of new ideas and technological breakthroughs. To develop core technologies along our selected research directions, we have created research collaborations with external partners. In addition, we have forged close strategic relationships with global universities to resolve the significantly challenging technology issues and achieve collaboration results that align with the strategic vision and goals of both parties.
Samsung offers a specific collaboration platform for global universities: the Global Research Outreach (GRO) program. The GRO program is an annual call for proposals that invites the world’s leading universities to propose innovative research ideas that will be evaluated for their novelty and alignment with Samsung’s various research fields.
The SAMSUNG Global Research Outreach (GRO) Program is an important part of SAMSUNG’s growing academic research engagement and collaboration platforms.
Since 2009, world-class university researchers have been invited annually to propose novel research ideas and work with our R&D teams to foster technological innovation. This has resulted in active collaborative relationships with over 150 leading universities worldwide.
The selected GRO projects will be funded for one year. This project may be extended based on annual research outcomes and the necessity for further research partnerships, as determined by SAMSUNG. Joint research proposals from multiple universities are welcome and accepted.
The GRO Program represents an opportunity for SAMSUNG and universities to build mutually beneficial research relationships, and we look forward to your participation.
For more questions about the GRO Program, please contact us via the GRO email address that best matches your location.
The SAMSUNG Global Research Outreach (GRO) Program is an important part of SAMSUNG’s growing academic research engagement and collaboration platforms.
Since 2009, world-class university researchers have been invited annually to propose novel research ideas and work with our R&D teams to foster technological innovation. This has resulted in active collaborative relationships with over 150 leading universities worldwide.
The selected GRO projects will be funded for one year. This project may be extended based on annual research outcomes and the necessity for further research partnerships, as determined by SAMSUNG. Joint research proposals from multiple universities are welcome and accepted.
The GRO Program represents an opportunity for SAMSUNG and universities to build mutually beneficial research relationships, and we look forward to your participation.
For more questions about the GRO Program, please contact us via the GRO email address that best matches your location.
The SAMSUNG Global Research Outreach (GRO) Program is an important part of SAMSUNG’s growing academic research engagement and collaboration platforms.
Since 2009, world-class university researchers have been invited annually to propose novel research ideas and work with our R&D teams to foster technological innovation. This has resulted in active collaborative relationships with over 150 leading universities worldwide.
The selected GRO projects will be funded for one year. This project may be extended based on annual research outcomes and the necessity for further research partnerships, as determined by SAMSUNG. Joint research proposals from multiple universities are welcome and accepted.
The GRO Program represents an opportunity for SAMSUNG and universities to build mutually beneficial research relationships, and we look forward to your participation.
For more questions about the GRO Program, please contact us via the GRO email address that best matches your location.
gro.usa@samsung.com
gro.usa@samsung.com
gro.usa@samsung.com
gro.europe@samsung.com
gro.europe@samsung.com
gro.europe@samsung.com
gro.japan@samsung.com
gro.japan@samsung.com
gro.japan@samsung.com
gro.asia@samsung.com
gro.asia@samsung.com
gro.asia@samsung.com
grooffice@samsung.com
grooffice@samsung.com
grooffice@samsung.com
- Applicants must be university professors or researchers.
- The applicant’s university must accept the GRO Research Agreement (RA) as part of the proposal submission process.
* If the university would like to review the GRO RA before submission, a detailed GRO RA can be sent via email upon the request of an authorized official of the university.
- Applicants must be university professors or researchers.
- The applicant’s university must accept the GRO Research Agreement (RA) as part of the proposal submission process.
* If the university would like to review the GRO RA before submission, a detailed GRO RA can be sent via email upon the request of an authorized official of the university.
- Applicants must be university professors or researchers.
- The applicant’s university must accept the GRO Research Agreement (RA) as part of the proposal submission process.
* If the university would like to review the GRO RA before submission, a detailed GRO RA can be sent via email upon the request of an authorized official of the university.
June 23, 2025
June 23, 2025
June 23, 2025
August 29, 2025 09:00 A.M. (Korea Standard Time, UTC+9)
August 29, 2025 09:00 A.M. (Korea Standard Time, UTC+9)
August 29, 2025 09:00 A.M. (Korea Standard Time, UTC+9)
November, 2025
November, 2025
November, 2025
The submission period will end on August 29 at 9:00 AM (KST, UTC+9).
The submission period will end on August 29 at 9:00 AM (KST, UTC+9).
The submission period will end on August 29 at 9:00 AM (KST, UTC+9).
A. Please review the SAMSUNG GRO Program information on this website and apply at the GRO submission site.
A. Please review the SAMSUNG GRO Program information on this website and apply at the GRO submission site.
A. Please review the SAMSUNG GRO Program information on this website and apply at the GRO submission site.
A. No. GRO Program is only designed to fund research projects with researchers affiliated with universities.
A. No. GRO Program is only designed to fund research projects with researchers affiliated with universities.
A. No. GRO Program is only designed to fund research projects with researchers affiliated with universities.
A. Yes. We encourage you to submit a new proposal this year.
A. Yes. We encourage you to submit a new proposal this year.
A. Yes. We encourage you to submit a new proposal this year.
A. Yes. Grants from SEC or related Samsung companies do not affect your university’s eligibility to apply to GRO Program.
A. Yes. Grants from SEC or related Samsung companies do not affect your university’s eligibility to apply to GRO Program.
A. Yes. Grants from SEC or related Samsung companies do not affect your university’s eligibility to apply to GRO Program.
A. No. GRO Program is designed to fund breakthrough research projects for universities, and as such does not fund equipment or cash donations, nor can it support student projects, event sponsorships, or teaching activities.
A. No. GRO Program is designed to fund breakthrough research projects for universities, and as such does not fund equipment or cash donations, nor can it support student projects, event sponsorships, or teaching activities.
A. No. GRO Program is designed to fund breakthrough research projects for universities, and as such does not fund equipment or cash donations, nor can it support student projects, event sponsorships, or teaching activities.
A. Yes. There are no limits on the number of proposals that can be submitted from the same university.
A. Yes. There are no limits on the number of proposals that can be submitted from the same university.
A. Yes. There are no limits on the number of proposals that can be submitted from the same university.
A. No, the funds will be made for one (1) year. To receive funds in the following year, applicant should submit a new proposal and achievements of projects at the end of project period. The submitted proposal for the following year will be re-evaluated by SAMSUNG. Notification of submission will be directly delivered through your GRO technical contact individually.
A. No, the funds will be made for one (1) year. To receive funds in the following year, applicant should submit a new proposal and achievements of projects at the end of project period. The submitted proposal for the following year will be re-evaluated by SAMSUNG. Notification of submission will be directly delivered through your GRO technical contact individually.
A. No, the funds will be made for one (1) year. To receive funds in the following year, applicant should submit a new proposal and achievements of projects at the end of project period. The submitted proposal for the following year will be re-evaluated by SAMSUNG. Notification of submission will be directly delivered through your GRO technical contact individually.
A. A key objective of the GRO Program is to help SAMSUNG build stronger relationships with professors and their graduate students. Acceptable personnel costs may include salaries for professor or faculty researcher, as well as stipends related to graduate or undergraduate student participation in the project. Post-doctoral researchers are encouraged to collaborate on the project, but would be asked to secure complementary funding for their salaries, as provided by the university or other funding sources.
A. A key objective of the GRO Program is to help SAMSUNG build stronger relationships with professors and their graduate students. Acceptable personnel costs may include salaries for professor or faculty researcher, as well as stipends related to graduate or undergraduate student participation in the project. Post-doctoral researchers are encouraged to collaborate on the project, but would be asked to secure complementary funding for their salaries, as provided by the university or other funding sources.
A. A key objective of the GRO Program is to help SAMSUNG build stronger relationships with professors and their graduate students. Acceptable personnel costs may include salaries for professor or faculty researcher, as well as stipends related to graduate or undergraduate student participation in the project. Post-doctoral researchers are encouraged to collaborate on the project, but would be asked to secure complementary funding for their salaries, as provided by the university or other funding sources.
A. No. GRO Program does not guarantee research funding for multi-year proposals.
A. No. GRO Program does not guarantee research funding for multi-year proposals.
A. No. GRO Program does not guarantee research funding for multi-year proposals.
A. Yes. Applicants from two (or more) separate universities may submit a joint proposal for consideration to the GRO Program. But, only one representative university’s Principal Investigator (“PI”) shall submit a proposal with the all relevant information regarding joint universities and detailed budget request for each university separately. If such joint proposal is selected, Samsung will execute the Research Agreement with only the lead university. The lead university is responsible for any subcontracts and distribution of award. Such university representative shall, at his/her own discretion and responsibility, manage the budget in accordance with the budgetary plan outlined in the submitted proposal.
A. Yes. Applicants from two (or more) separate universities may submit a joint proposal for consideration to the GRO Program. But, only one representative university’s Principal Investigator (“PI”) shall submit a proposal with the all relevant information regarding joint universities and detailed budget request for each university separately. If such joint proposal is selected, Samsung will execute the Research Agreement with only the lead university. The lead university is responsible for any subcontracts and distribution of award. Such university representative shall, at his/her own discretion and responsibility, manage the budget in accordance with the budgetary plan outlined in the submitted proposal.
A. Yes. Applicants from two (or more) separate universities may submit a joint proposal for consideration to the GRO Program. But, only one representative university’s Principal Investigator (“PI”) shall submit a proposal with the all relevant information regarding joint universities and detailed budget request for each university separately. If such joint proposal is selected, Samsung will execute the Research Agreement with only the lead university. The lead university is responsible for any subcontracts and distribution of award. Such university representative shall, at his/her own discretion and responsibility, manage the budget in accordance with the budgetary plan outlined in the submitted proposal.
A. GRO RA will be sent, upon request, via email. Contact information is on GRO website. An authorized official at your university must review the GRO RA.
A. GRO RA will be sent, upon request, via email. Contact information is on GRO website. An authorized official at your university must review the GRO RA.
A. GRO RA will be sent, upon request, via email. Contact information is on GRO website. An authorized official at your university must review the GRO RA.
A. Please consolidate CVs (1-2 pages) for each individual into Appendices of your proposal.
A. Please consolidate CVs (1-2 pages) for each individual into Appendices of your proposal.
A. Please consolidate CVs (1-2 pages) for each individual into Appendices of your proposal.
A. If you need to revise your proposal after submitting it, you can make changes and re-submit prior to the submission deadline. However, you will not be able to make changes after the submission deadline. If your submission is accepted, you will have an opportunity to revise the proposal.
A. If you need to revise your proposal after submitting it, you can make changes and re-submit prior to the submission deadline. However, you will not be able to make changes after the submission deadline. If your submission is accepted, you will have an opportunity to revise the proposal.
A. If you need to revise your proposal after submitting it, you can make changes and re-submit prior to the submission deadline. However, you will not be able to make changes after the submission deadline. If your submission is accepted, you will have an opportunity to revise the proposal.
- Neural Refrigeration Cycle Network enabled Optimal Control of Closed-loop Fluid Infrastructure System
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- Neural Refrigeration Cycle Network enabled Optimal Control of Closed-loop Fluid Infrastructure System
- Generative PDE-Solving and Boundary Condition Design Under Partial Observations
- Generative PDE-Solving and Boundary Condition Design Under Partial Observations
- Generative PDE-Solving and Boundary Condition Design Under Partial Observations
- Large Language Model-driven Efficient and Flexible Network Management for NextG Cellular Communications
- Large Language Model-driven Efficient and Flexible Network Management for NextG Cellular Communications
- Large Language Model-driven Efficient and Flexible Network Management for NextG Cellular Communications
- Characterization of Defects in Semiconductor Devices using Multislice Electron Ptychography
- Characterization of Defects in Semiconductor Devices using Multislice Electron Ptychography
- Characterization of Defects in Semiconductor Devices using Multislice Electron Ptychography
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- Extreme Bandwidth Ultra-Low Energy 3D Photonic Interconnect
- Extreme Bandwidth Ultra-Low Energy 3D Photonic Interconnect
- Interconnects for large-scale chiplet-based system
- Interconnects for large-scale chiplet-based system
- Interconnects for large-scale chiplet-based system
- Optical Free-Form Couplers for High-bandwidth Integrated Photonics (OFFCHIP)
- Optical Free-Form Couplers for High-bandwidth Integrated Photonics (OFFCHIP)
- Optical Free-Form Couplers for High-bandwidth Integrated Photonics (OFFCHIP)
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- Reverse-Engineering Brain Computations Related to Higher Cognition via Large-Scale Dynamical Systems Reconstruction
- Reverse-Engineering Brain Computations Related to Higher Cognition via Large-Scale Dynamical Systems Reconstruction
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- Wearable Devices for Biomarkers of Early Stage Influenza-Like-Illness Detection
- High-performance electrolysis cells for efficient syngas production
- High-performance electrolysis cells for efficient syngas production
- High-performance electrolysis cells for efficient syngas production
- Tightly Bound Self Assembled Multilayer-Forming Molecules with End-terminal Primary Amine for Efficient CO2 Capture
- Tightly Bound Self Assembled Multilayer-Forming Molecules with End-terminal Primary Amine for Efficient CO2 Capture
- Tightly Bound Self Assembled Multilayer-Forming Molecules with End-terminal Primary Amine for Efficient CO2 Capture
- Electrothermal Integrated Carbon Capture and Utilization
- Electrothermal Integrated Carbon Capture and Utilization
- Electrothermal Integrated Carbon Capture and Utilization
- Synergetic Plasma-Catalytic Design for Gas Abatement from Semiconductor Processes
- Synergetic Plasma-Catalytic Design for Gas Abatement from Semiconductor Processes
- Synergetic Plasma-Catalytic Design for Gas Abatement from Semiconductor Processes
- Conformal prediction for trustworthy language models
- Conformal prediction for trustworthy language models
- Conformal prediction for trustworthy language models
- Learning to De-Render for Controllable Generation
- Learning to De-Render for Controllable Generation
- Learning to De-Render for Controllable Generation
- Generative foundation Models for Black-Box Optimization
- Generative foundation Models for Black-Box Optimization
- Generative foundation Models for Black-Box Optimization
- Information Theoretic Black-Box Optimization and Active Learning with Deep Generative Models
- Information Theoretic Black-Box Optimization and Active Learning with Deep Generative Models
- Information Theoretic Black-Box Optimization and Active Learning with Deep Generative Models
- Exploring Physics Inspired AI in Next G Radio Access Network Technologies
- Exploring Physics Inspired AI in Next G Radio Access Network Technologies
- Exploring Physics Inspired AI in Next G Radio Access Network Technologies
- Efficient Designs for Generative and Agent LLM Development
- Efficient Designs for Generative and Agent LLM Development
- Efficient Designs for Generative and Agent LLM Development
- Resolving Tail-to-Tail Trap Density in Semiconductor Oxide Devices
- Resolving Tail-to-Tail Trap Density in Semiconductor Oxide Devices
- Resolving Tail-to-Tail Trap Density in Semiconductor Oxide Devices
- Enabling Memory Coupled Compute Efficient Acceleration in the Monte Cimone RISC-V cluster
- Enabling Memory Coupled Compute Efficient Acceleration in the Monte Cimone RISC-V cluster
- Enabling Memory Coupled Compute Efficient Acceleration in the Monte Cimone RISC-V cluster
- Enabling Algorithm-Architecture Co-Design for Large Language Models on CXL Memory
- Enabling Algorithm-Architecture Co-Design for Large Language Models on CXL Memory
- Enabling Algorithm-Architecture Co-Design for Large Language Models on CXL Memory
- Highly Efficient Pre-Trained LLM Storage with Near-Storage Compression and CXL Memory Integration
- Highly Efficient Pre-Trained LLM Storage with Near-Storage Compression and CXL Memory Integration
- Highly Efficient Pre-Trained LLM Storage with Near-Storage Compression and CXL Memory Integration
- Full-color micro-LEDs via advanced epitaxy and integration techniq ues
- Full-color micro-LEDs via advanced epitaxy and integration techniq ues
- Full-color micro-LEDs via advanced epitaxy and integration techniq ues
- Sub-picojoule per bit optical interconnects using near infrared silicon photonics
- Sub-picojoule per bit optical interconnects using near infrared silicon photonics
- Sub-picojoule per bit optical interconnects using near infrared silicon photonics
- Two-Phase Cooling Strategies for Next-Generation Electronics
- Two-Phase Cooling Strategies for Next-Generation Electronics
- Two-Phase Cooling Strategies for Next-Generation Electronics
- Athermal Optics design, EUV mirror inspection technology
- Athermal Optics design, EUV mirror inspection technology
- Athermal Optics design, EUV mirror inspection technology
- Long-Range Equivariant Machine Learning Interatomic Potentials for Simulating Charge Transfer
- Long-Range Equivariant Machine Learning Interatomic Potentials for Simulating Charge Transfer
- Long-Range Equivariant Machine Learning Interatomic Potentials for Simulating Charge Transfer
- Hardware Support for Neural-Accelerated Ray Tracing
- Hardware Support for Neural-Accelerated Ray Tracing
- Hardware Support for Neural-Accelerated Ray Tracing
- RADLER: RISC-V Autonomous Driving LEvel fouR hardware/software co-design
- RADLER: RISC-V Autonomous Driving LEvel fouR hardware/software co-design
- RADLER: RISC-V Autonomous Driving LEvel fouR hardware/software co-design
- Ferrimagnetic Skyrmions for Racetrack Memory and Computing
- Ferrimagnetic Skyrmions for Racetrack Memory and Computing
- Ferrimagnetic Skyrmions for Racetrack Memory and Computing
- Efficient Computing Methods for Neural Networks for In-Memory Computing
- Efficient Computing Methods for Neural Networks for In-Memory Computing
- Efficient Computing Methods for Neural Networks for In-Memory Computing
- Analyzing the Blast Radius Problem of SSD Failures on HPC
- Analyzing the Blast Radius Problem of SSD Failures on HPC
- Analyzing the Blast Radius Problem of SSD Failures on HPC
- Building Massively Parallel Supercomputers based on Near-Memory Computing
- Building Massively Parallel Supercomputers based on Near-Memory Computing
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- Cubic 3D Chalcogenide Semiconductors for p-Channel BEOL Transistors
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- Cubic 3D Chalcogenide Semiconductors for p-Channel BEOL Transistors
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- Resolving Tail-to-Tail Trap Density in Semiconductor Oxide Devices
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- Low Resistance TMD Contacts
- Human-like active tactile perception of a sensorized soft robotic finger
- Human-like active tactile perception of a sensorized soft robotic finger
- Human-like active tactile perception of a sensorized soft robotic finger
- Next generation CMOS based on single crystalline 2D materials
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- Data Multiplexing for Energy-efficient Tiny ML
- Benchmarking the Real-World Decision Making of Autonomous Driving Systems
- Benchmarking the Real-World Decision Making of Autonomous Driving Systems
- Benchmarking the Real-World Decision Making of Autonomous Driving Systems
- In-situ Electrical and Materials Characterization for Atomic Layer Doping
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- Physics-Constrained Neural Networks for Anomaly Detection
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- Waveguide-based Dark Field Scattering Spectroscopy
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- Compact High-Zoom Metasurface Camera
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- Bioinspired Frequency Modulation based Uncooled MWIR/LWIR Detection
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