Limited Submission Opportunities
Find information about limited submissions on the Limited Submissions Opportunities page.
Scalable Nanomanufacturing (SNM) Solicitation
The Scalable Nanomanufacturing for Integrated Systems (SNM-IS) solicitation is changed from the previous Scalable Nanomanufacturing (SNM) solicitation in that the objective has shifted from research in large-scale manufacturing of single-component nanomaterials and nanostructures to investigations in scalable nanomanufacturing and integration of multi-component nano-enabled integrated systems. The SNM-IS solicitation seeks proposals that investigate novel scalable nanomanufacturing and integration methods for nano-enabled integrated systems with a clear commercial relevance. Proposals should consider addressing key aspects of the nanomanufacturing value chain. Please see the full RFP for complete information.
Estimated program funding: $5 million total
Anticipated No. of Awards: 5-8
Cost Share: No
Notification of Interest to ORE due due: September 26, 12:00 noon
Letter of Intent due: n/a
Application to Agency due: January 13, 2017
Limit on Number of Applications: 1
NOTE: Individuals interested in any solicitation that limits the number of submissions allowed by UT must submit a notification of interest to firstname.lastname@example.org. See the ORE limited submission policy, View current and past opportunities, and sign up for the listserv.
Please notify Paul Montgomery (email@example.com) of your interest in the following opportunities.
DARPA Reconfigurable Imaging (ReImagine)
The Defense Advanced Research Projects Agency (DARPA) has published a solicitation entitled Reconfigurable Imaging (ReImagine). ReImagine seeks to “to demonstrate that a software-reconfigurable imaging system can enable revolutionary capabilities, present a new approach to application development that is more similar to field programmable gate array (FPGA) based design than to ASIC design, and to develop the underlying theory and algorithms that learn to collect the most valuable information when the sensor can be configured for a variety of measurements.” ReImagine has the following technical areas, and proposers may submit to one or more:
- Technical Area 1 (TA1): Single or multi-color passive imager architecture and algorithms
- Technical Area 2 (TA2): Hybrid active/passive imager architecture and algorithms.
- Technical Area 3 (TA3): Innovative concepts for imaging systems with internal feedback
DARPA expects to make multiple awards, each for less than a four year duration.
Proposal due: November 10, 5:00 p.m.
IARPA Hybrid Forecasting Competition (HPC)
The Intelligence Advanced Research Projects Activity (IARPA) has published a solicitation entitled Hybrid Forecasting Competition (HPC). HPC seeks to “develop and test hybrid geopolitical forecasting systems. These systems will integrate human and machine forecasting components to create maximally accurate, flexible, and scalable forecasting capabilities.” Not surprisingly, multidisciplinary teams and collaborations across organizations are “strongly encouraged.” IARPA expects to make multiple awards, each for up to four years duration.
Proposals due: November 14, 5:00 p.m. EST
DARPA Safe Genes Solicitation
The Defense Advanced Research Projects Agency (DARPA) has published the Safe Genes solicitation. Multiple awards are expected, each with a duration up to four years.
The objectives of Safe Genes are to:
- design and develop genetic constructs that provide spatial, temporal, and reversible control of genome editors in living systems, thereby enabling programmable functional activities at the level of the genome.
- develop new small molecule and molecular countermeasures that provide prophylaxis and treatment solutions to prevent or limit genome editing activity and protect the genome integrity of organisms and populations.
- create a capability to eliminate unwanted engineered genes from environments and restore systems to a functional and genetic baseline state.
Abstract (highly encouraged) due: October 6, 4:00 p.m. EST, 8 pages
Proposal due: November 17, 4:00 p.m.
ONR Quality Metal Additive Manufacturing (Quality Made)
The Office of Naval Research (ONR) has published a solicitation entitled entitled Quality Metal Additive Manufacturing (Quality Made): Integrated Computational Materials Engineering Models and In-situ Process Monitoring Sensors & Control. The goal of the Quality Made program is to “develop and demonstrate a suite/combination of AM software and hardware technologies required to support the rapid qualification of critical metallic components at a reduced cost.” In particular, the program will seek to “develop, test, and deliver validated M&S tools and in-situ process monitoring sensors and control for utilizing AM from initial design to finished product phases; and will support qualification of materials and processes.” Quality Made seeks to “advance the technological maturity of the system components from a Technology Readiness Level (TRL) 3/4 to TRL 6, with the latter including the installation of the system at a Navy Depot….” ONR anticipates making multiple awards ranging from $500k to $2 million annually for up to four years.
White Paper due: November 1, 2:00 p.m. EST, 6 pages
Proposal due: January 27, 2017, 2:00 p.m. EST
Join the UT NIH Research Community by contacting Jennifer Webster (firstname.lastname@example.org) and start receiving the weekly NIH Digest.
- NIA / NIDA Encouraging Appropriate Care Using Behavioral Economics through Electronic Health Records (R21/R33) (RFA-AG-17-013)
- NIAID Career Transition Award (K22) (PAR-16-434)
- NIGMS Support of NIGMS Program Project Grants (P01) (PAR-16-433)
Please contact Sharon Pound (email@example.com) regarding your interest in NSF opportunities.
Scalable Parallelism in the Extreme (SPX) NSF 16-605
This program aims to support research addressing the challenges of increasing performance in this modern era of parallel computing. This will require a collaborative effort among researchers in multiple areas, from services and applications down to micro-architecture. SPX encompasses all five NSCI Strategic Objectives, including supporting foundational research toward architecture and software approaches that drive performance improvements in the post-Moore’s Law era; development and deployment of programmable, scalable, and reusable platforms in the national HPC and scientific cyberinfrastructure ecosystem; increased coherence of data analytic computing and modeling and simulation; and capable extreme-scale computing. Coordination with industrial efforts that pursue related goals are encouraged.
Anticipated Funding Amount: Up to $1 million for 2-4 yrs.
Full Proposal due: January 10, 2017
NSF/Intel Partnership on Computer Assisted Programming for Heterogeneous Architectures (CAPA) NSF 16-606
This program aims to address the problem of effective software development for diverse hardware architectures through groundbreaking university research that will lead to a significant, measurable leap in software development productivity by partially or fully automating software development tasks that are currently performed by humans. The main research objectives for CAPA include programmer effectiveness, performance portability, and performance predictability. In order to address these objectives, CAPA seeks research proposals that explore (1) programming abstractions and/or methodologies that separate performance-related aspects of program design from how they are implemented; (2) program synthesis and machine learning approaches for automatic software construction that are demonstrably correct; (3) advanced hardware-based cost models and abstractions to support multi-target code generation and performance predictability for specified heterogeneous hardware architectures; and (4) integration of research results into principled software development practices.
Anticipated Funding Amount: Up to $3 million for 3 yrs.
Submission Window: December 8-15, 2016
Collaborative Research in Computational Neuroscience (CRCNS) NSF 16-607
Through the CRCNS program, the National Science Foundation (NSF), the National Institutes of Health (NIH), the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF), the French National Research Agency (Agence Nationale de la Recherche, ANR), and the United States-Israel Binational Science Foundation (BSF) support collaborative activities that will advance the understanding of nervous system structure and function, mechanisms underlying nervous system disorders, and computational strategies used by the nervous system. Two classes of proposals will be considered in response to this solicitation: Research Proposals describing collaborative research projects; and Data Sharing Proposals to enable sharing of data and other resources.
Anticipated Funding Amount: Research Projects $100,000-250,000/yr. for 3-5 yrs.; Data Sharing Projects scaled according to needs, typically smaller
Full Proposal due: December 19, 2016
Smart and Autonomous Systems (S&AS) NSF 16-608
This program focuses on Intelligent Physical Systems (IPS) that are cognizant, taskable, reflective, ethical, and knowledge-rich. The S&AS program welcomes research on IPS that are aware of their capabilities and limitations, leading to long-term autonomy requiring minimal or no human operator intervention. Example IPS include, but are not limited to, robotic platforms and networked systems that combine computing, sensing, communication, and actuation. Cognizant IPS exhibit high-level awareness beyond primitive actions, in support of persistent and long-term autonomy. Taskable IPS can interpret high-level, possibly vague, instructions, translating them into concrete actions that are dependent on the particular context in which the IPS is operating. Reflective IPS can learn from their own experiences and those of other entities, such as other IPS or humans, and from instruction or observation; they may exhibit self-aware and self-optimizing capabilities. Ethical IPS should adhere to a system of societal and legal rules, taking those rules into account when making decisions. Knowledge-rich IPS employ a variety of representation and reasoning mechanisms, such as semantic, probabilistic and commonsense reasoning; are cognitively plausible; reason about uncertainty in decision making; and reason about the intentions of other entities in decision making.
Anticipated Funding Amount: Foundational projects $350,000-700,000 for up to 3 yrs..; Integrative projects $500,000-1.4 million for up to 4 yrs.
Full Proposal due: December 19, 2016
Dear Colleague Letters
- DMR Window Changes NSF 16-135 Sept. 16, 2016
- EFRI Research Experience and Mentoring (REM) Program NSF 16-139 Sept. 20, 2016
- Seeking Community Input for Topic Ideas for Emerging Frontiers in Research and Innovation (EFRI) NSF 16-138 Sept. 21, 2016
AAAS Community Engagement Fellows Program
Applications are open for the AAS Community Engagement Fellows Program. Funded by the Alfred P. Sloan Foundation, the Fellows Program is in its pilot year. The program’s mission is to improve community-building and collaboration within scientific organizations, including both professional associations and research collaborations. The program will provide training and support to a cohort of scientific community managers for a full year.
AAS is seeking two types of applicants for the fellowship: current scientific community managers, and individuals looking to enter the field and be placed in an organization.
Visit the AAS website to learn more.
Applications due: October 16, 2016
Find new Engagement Opportunities and Funding at engagement.utk.edu. Use Pivot to search and save funding opportunities, set up funding alerts, or manage your scholar profile using your UT NetID. Use the Foundation Directory Online to search a database of the 10,000 largest private, community, and corporate foundations in the U.S.