Physical Sciences & Engineering

No applicants // Limit: 1 // Tickets Available: 1 

TERA will recognize and promote excellence in teaching in the food and agricultural sciences within colleges and universities; teaching is defined to include all aspects of developing human capital in order to help meet current and future national food, agricultural, natural resources, and human sciences (FANH) workplace needs. Examples of relevant activities under this project type include (but are not limited to) the following: formal classroom instruction; laboratory instruction; and practicum experience such as faculty development, student recruitment and services, curriculum development, and innovative teaching methodologies. It also includes activities that directly or indirectly contribute to student learning such as research, extension/outreach, and organizational arrangements needed for the proper functioning of the educational institution.

This program addresses the national priority of developing competent human capital for employment in the food, agriculture, natural resources, and human (FANH) sciences.  NIFA, subject to the availability of funds, will administer this TERA project. This cooperative agreement program also addresses the national priority of developing competent human capital for employment in the food, agriculture, natural resources, and human (FANH) sciences. USDA is designated as the lead federal agency that supports higher education in the FANH sciences. In this context, NIFA has a specific responsibility to initiate and support projects that strengthen higher education teaching programs in these areas.

Program Goals include:

• Annually recognize and honor a select group of college and university teachers who excel at teaching, research and extension.

• Help disseminate best practices in teaching through workshops, conferences, blogs, social media and other appropriate activities; and

• Increase the number and diversity of academic programs participating in TERA.

H-J. Kim (Civil and Architectural Engineering and Mechanics) - Topic 7: Decarbonizing Cement and Concrete.
 

UArizona may submit one proposal to this funding program.

The Department of Energy’s (DOE) Office of Energy Efficiency and Renewable Energy announced a $156 million funding opportunity that will advance high impact applied research, development, and demonstration (RD&D) projects to reduce greenhouse gas (GHG) emissions across the U.S. industrial sector. The FOA, led by EERE’s Industrial Efficiency and Decarbonization Office (IEDO), will drive innovation to develop the next-generation technologies required to decarbonize industry, revitalize American manufacturing, create good-paying jobs, and improve community health.

Decarbonizing the industrial sector is critical to achieving the nation’s climate goals, as it is currently responsible for approximately one third of domestic greenhouse gas (GHG) emissions. DOE is building an innovation pipeline to accelerate the development and adoption of industrial decarbonization technologies with investments spanning foundational science; research, development, deployment, and demonstrations (RDD&D); and technical assistance and workforce development. 

IEDO’s efforts in this area are part of DOE’s new Technologies for Industrial Emissions Reduction Development (TIEReD) Program which leverages resources across different technology offices to invest in fundamental science, research, development, and initial pilot-scale demonstrations projects. 

1. F. Duka ( Gastrointestinal Microbiology)
2. One slot is still available.

The Equipment Grants Program (EGP) serves to increase access to shared-use special purpose equipment/instruments for fundamental and applied research for use in the food and agricultural sciences programs at institutions of higher education, including State Cooperative Extension Systems. The program seeks to strengthen the quality and expand the scope of fundamental and applied research at eligible institutions, by providing them with opportunities to acquire one shared-use piece of equipment/instrument that supports their research, research training, and extension goals and may be too costly and/or not appropriate for support through other NIFA grant programs. EGP grants are not intended to replace requests for equipment in individual project applications. The program emphasizes shared-use instrumentation that will enhance the capabilities of researchers, educators, and extension specialists both within and outside the proposing organization.

Proposals to the EGP must involve acquisition of a single, well-integrated piece of equipment/instrument. Well-integrated means that the ensemble of equipment that defines the instrument enables specific fundamental or applied research experiments in the food and agricultural sciences, including data science and data systems; separating or removing an element or component of such an integrated instrument would preclude that research from occurring or succeeding. An instrument acquired with support from EGP is expected to be fully operational by the conclusion of the first year of the project. 

• C. Roman Palacios  (School of Information)
• R. Schomer (Plant Sciences)
• S. Sullivan (Chemical & Environmental Engineering)
• J.Green (Environmental Science)
• A. Mallik (Geosciences)
• M. Taylor (Chemistry & Biochemistry)

UA may submit up to three candidates per eligible department. Please note the Department of Astronomy will hold its internal competition. Please contact the department head for more information.

The Sloan Research Fellowships seek to stimulate fundamental research by early-career scientists and scholars of outstanding promise. These $75,000, two-year fellowships are awarded to researchers in recognition of distinguished performance and a unique potential to make substantial contributions to their field. Successful candidates for a Fellowship generally have a strong record of significant independent research accomplishments that demonstrate creativity and the potential to become future leaders in the scientific community.

Eligibility:

• Candidates must hold a Ph.D. or equivalent degree in chemistry, computer science, Earth system science, economics, mathematics, neuroscience, physics, or a related field.
• Candidates must be tenure-track, though untenured, as of September 15, 2023.
• Candidate’s faculty position must carry a regular teaching obligation.

In keeping with the Alfred P. Sloan Foundation's longstanding support of underrepresented minorities in the sciences, the Foundation strongly encourages the nomination of qualified women and minority candidates.

No Applicants // Limit: 1 // Tickets Available: 1 

UArizona may submit one proposal as the lead organization of a collaborative project on only one submission per cycle, regardless of track, but may serve as the non-lead organization of a collaborative project more than once per cycle.

The Directorate for Geosciences (GEO) supports the Pathways into the Geosciences - Earth, Ocean, Polar and Atmospheric Sciences (GEOPAths) funding opportunity. GEOPAths invites proposals that specifically address the current needs and opportunities related to education, learning, training and professional development within the geosciences community through the formation of STEM Learning Ecosystems that engage students in the study of the Earth, its oceans, polar regions and atmosphere. The primary goal of the GEOPAths funding opportunity is to increase the number of students pursuing undergraduate and/or postgraduate degrees through the design and testing of novel approaches that engage students in authentic, career-relevant experiences in geoscience. In order to broaden participation in the geosciences, engaging students from historically excluded groups or from non-geoscience degree programs is a priority. This solicitation features three funding tracks that focus on Geoscience Learning Ecosystems (GLEs):

1. GEOPAths: Informal Networks (IN). Collaborative projects in this track will support geoscience learning and experiences in informal settings for teachers, pre-college (e.g., upper level high school) students, and early undergraduates in the geosciences.
2. GEOPAths: Undergraduate Preparation (UP). Projects in this track will engage pre-college and undergraduate students in extra-curricular experiences and training in the geosciences with a focus on service learning and workplace skill building.
3. GEOPAths: Graduate Opportunities (GO). Projects in this track will improve research and career-related pathways into the geosciences for undergraduate and graduate students through institutional collaborations with a focus on service learning and workplace skill building.

1. H.J. Kim (Civil Engineering-Engineering Mechanics)
2. M. Tfail (Environmental Science) 
3. M. Chertkov (Applied Mathematics)

UA may submit three pre-proposals to this funding program.
 

Applications must focus on addressing basic research challenges motivated by the Energy Earthshots listed above. The scope of the Energy Earthshots are described below. This FOA is a collaborative effort across three SC research programs: Advanced Scientific Computing Research, Basic Energy Sciences, and Biological and Environmental Research. Program descriptions follow below. Multi-disciplinary applications are encouraged, addressing more than one SC research program. Additionally, the following common considerations apply to all Energy Earthshots:

Applicants should consider how innovative high-performance and scientific-computing techniques can contribute to advancing the goals of the proposed research. Applicants should also leverage the applications and software technologies developed by DOE’s Exascale Computing Project (ECP)10 to make use of computing at all scales. Applicants should also consider how to leverage data, software, models, and other information from recent and concurrent activities, including those funded by SC, other DOE departmental elements, and other agencies. SC resources include, but are not limited to, those with the Public Reusable Research (PuRe) Data designation11. Applicants are encouraged to consult the references posted on each Energy Earthshot’s webpage for information on other potentially-leverageable resources. 

R. Hossein ( Aerospace-Mechanical Engineering)

NIOSH organizes its research program under the framework of the National Occupational Research Agenda (NORA). NORA is a partnership program to stimulate innovative research and improved workplace practices. Unveiled in 1996, NORA entered its third decade (2016-2026) with an enhanced structure. It now consists of ten industry sectors based on major areas of the U.S. economy, and seven health and safety cross-sectors organized according to the major health and safety issues affecting the U.S. working population. The national agenda is developed and implemented through the NORA Sector and Cross-Sector Councils. Each council develops and maintains an Agenda for its sector or cross-sector. The collection of agendascomprises the agenda for the nation for improvements in occupational safety and health. The agenda also provides a vehicle for stakeholders to describe the most relevant safety and health issues, research gaps, and needs.

Protecting the health and safety of mine workers by preventing diseases, injuries, and fatalities is a NIOSH priority, along with making certain that workers are qualified, trained, and properly equipped. The NORA Mining Agenda was developed and implemented through NORA Sector Councils and is guidance for the nation as a whole, while the 2019-2023  Mining Program Strategic Plan is specific to NIOSH and its capabilities and resources. 
 

The NIOSH Mining Program has established three overarching strategic goals for this plan:

Strategic Goal 1: Reduce mine workers’ risk of occupational illness

Strategic Goal 2: Reduce mine workers’ risk of traumatic injuries and fatalities

Strategic Goal 3: Reduce the risk of mine disasters and improve post-disaster survivability of mine workers.

This is a collaborative grant and applicants should outline their expected interactions with NIOSH researchers and subject matter experts.

Objectives

The objective of this cooperative agreement is to address research initiatives in automation, robotics, and intelligent mining systems to improve workplace safety and health in U.S. mining operations. 

The impact of research conducted by recipients should focus on advances in assured autonomy, i.e., assuring autonomous mining equipment and robotics achieve improved workplace safety and health for mine workers while meeting efficiency and productivity goals.

Interactions with mining stakeholders have shown that the U.S. industry is lagging behind other parts of the world in the implementation of automation technologies due to a lack of guidance in implementing new technology, questions about technology readiness, a lack of guidance and tools for effectively dealing with the migration from human-operated equipment to autonomous equipment, and concerns about the potential unsafe interactions between autonomous equipment and workers. Impacts could include but are not limited to:

Applicants are encouraged to consider those aspects of their graduate degree program in mining and explosives engineering, including unique facilities, that could best support their proposed research related to automation, robotics, and intelligent mining systems.

Clearly state your proposed goals and objectives, and directly link these to the occupational health and safety burdens you are addressing.

Provide data to support your selection of the proposed work, such as morbidity or mortality rates and indicators of the size of the population at risk (including estimates of the target population’s potential risk of exposure to the hazard, frequency of exposure, or sociodemographic factors such as age, gender, and race/ethnicity). Similarly, provide qualitative data that describe exposures, the magnitude of the problem, and potential benefits and impacts of addressing the issue. Qualitative data may be necessary when the nature of the exposure or population at risk makes it difficult to collect large-scale, representative quantitative data.

1. • Advances in and implementation of human-centered design principles for automated equipment and the systems used to monitor or interact with them.
   • New methods, guidance, and best practices in change management, training/retraining workers, technology integration, and safety evaluation.
   • New methods and evaluation techniques for safe design that consider the entire mining operation as a system.
   • Advances and availability of enabling technologies for assured autonomy including sensors, data fusion and processing, artificial intelligence, and systems for improved machine and operator situational awareness.
   • Availability of new miner rescue and post-disaster surveillance technologies.

No applicants // Limit: 2 // Tickets Available: 2 

UArizona may submit no more than two (2) applications in response to this announcement.

The program provides funding to support research and development (R&D) for nuclear science, engineering, technology, and related disciplines to develop a workforce capable of supporting the design, construction, operation, and regulation of nuclear facilities and the safe handling of nuclear materials. University R&D activities provide an opportunity to complement current, ongoing NRC-led research.

More specifically, the program shall be used to provide financial assistance for R&D projects relevant to the programmatic mission of the NRC referenced above, with an emphasis on providing financial assistance with respect to research, development, demonstration, and commercial application of new and advanced nuclear technologies. New this year, non-technical research will be considered under this announcement (for example, projects that would foster the development of innovative community engagement strategies, including incorporation of principles of equity and environmental justice).

The estimated budget for this program is $6,000,000.00 for a project period of three years. 

Areas of interest include, but are not limited to:

• Application of wireless communications, drones, robotics, and autonomous control in operations and maintenance activities;

• Digital engineering/analytics, advanced sensors, and digital instrumentation/controls at nuclear facilities;

• Evaluation of technical gaps and major uncertainties in assessing risk for operating, new and advanced reactors (e.g., modeling of complex dependencies, advanced calculation techniques, multi-unit and multi-moule risk, application of risk techniques to radiological consequence analysis, development of improved risk metrics);

• Human and organizational factors and human reliability analysis for advanced nuclear applications, (e.g., improved models for dependency, consideration of organizational factors, dynamic methods, and risk analysis).

• Characterization of fire hazards in new reactor designs (e.g., sodium) and post-fire safe shutdown capability;

• Characterization of natural hazards including but not limited to flooding, high winds, hurricanes, wildfires, climate change;

• Analysis models and methods for fuel and cladding performance;

• Advanced technology approaches (e.g., data and text analytics, data visualization techniques, and artificial intelligence) and applications (e.g., data mining, autonomous control) in nuclear power-related applications; Evaluation of the radiological releases and offsite consequences for fusion reactor accidents;

• Application of innovative and advanced technologies for decommissioning and remediation of radiologically contaminated sites;

• Evaluation of the technical gaps and uncertainties in licensing new veterinary and medical uses of byproduct materials;

• Analytical approaches that combine probabilistic risk assessment (PRA) risk quantification methods with reactor systems sensitivity or uncertainty analysis methods to quantify the risk significance of safety analysis errors or uncertainties; Performance-based technology-neutral safety assurance;

• Evaluation of technical gaps and major uncertainties in assessing risk for decommissioning and waste management; and

• Comparative analysis, consistencies, and harmonization in application of dosimetry and dose coefficients

J. Van Haren (Biosphere 2)

Mid-scale RI-2 is an NSF-wide competitive program that addresses scientific demand for research infrastructure in the $20 million -$100 million cost range for implementation. Mid-scale RI-2 is intended to support visionary projects that are high-priority national needs as identified by research communities of the United States, rather than projects primarily serving regional, campus or local interests. Solving the most pressing scientific and societal problems of the day – such as those called out in National Academies reports and decadal surveys, identified through research community planning and prioritizing exercises or other emerging national priorities – using new technologies, techniques, and concepts is encouraged in this competition. The scientific justification should demonstrate how the proposed research infrastructure provides potentially transformative research capability or access relative to what is currently available to the general U.S. research community. Investigators whose preliminary proposals are for capabilities similar to those currently available to the U.S. research community are unlikely to be invited to submit full proposals. All proposals should show the project's value and benefit to the U.S. science community.

Proposals for research infrastructure that is part of a larger project must clearly state the impact of the proposed infrastructure on the project, whether and how any specific part(s) of the infrastructure would be identified with NSF, and the benefit to the U.S. research communities that NSF supports.

The Total Project Cost (TPC) submitted to NSF for implementation must be at least $20 million but less than $100 million. Mandatory cost analyses will be conducted on proposals considered for award and will need to demonstrate a high probability that the project can be completed in less than $100 million. Projects whose most likely risk-adjusted costs are found to exceed this threshold, as determined via the NSF cost analysis, will not be considered for funding from the Mid-scale RI-2 Program. NSF will utilize independent cost estimate reviews (in some cases performed by contractors or other government agencies) to inform the cost analysis.

PIs are reminded of the GAO cost escalation and uncertainly requirements as outlined in the RIG (Section 4.2.2.3). Besides the award duration, careful consideration should also be given to the 2-year cycle of the Mid-scale RI-2 Program, from solicitation publication to eventual award decision, and its potential impact on the anticipated total project cost. Thus, proposed budgets should carefully consider validity of quotes, market forces, escalation (including inflation), and other potential influencing factors that could push the risk-adjusted total project cost above the programmatic threshold.

If a PI finds, while developing the project budget, that the total project cost could reasonably exceed the upper limit of the Mid-scale RI-2 Program, they should consult with the cognizant Program Officer about other potential options.

NSF defines Research Infrastructure (RI) as any combination of facilities, equipment, instrumentation, or computational hardware or software, and the necessary human capital in support of the same. Major facilities and mid-scale projects are subsets of research infrastructure. The NSF Mid-scale RI-2 Program supports the implementation of unique and compelling RI projects at a national scale. Mid-scale RI-2 projects may include any combination of equipment, instrumentation, cyberinfrastructure, broadly used large-scale data sets, and the commissioning and/or personnel needed to successfully complete the project. Mid-scale RI-2 projects should fill a research community-defined scientific need or national research priority that enables current and next-generation U.S. researchers and a diverse STEM workforce to remain competitive in the global research environment. Mid-scale RI-2 investments are expected to demonstrate high potential to significantly advance the Nation's research capabilities. Mid-scale RI-2 projects will directly enable advances in any of the research domains supported by NSF, including STEM education research. Projects may also include upgrades to existing research infrastructure.

Mid-scale RI-2 is intended to support the implementation stage of a wide variety of RI projects. Mid-scale RI-2 therefore uses an inclusive definition of implementation, which can include traditional stand-alone construction or acquisition as well as a degree of final development for infrastructure and equipment projects. For example, it could include a spiral development step leading to the acquisition of a larger system for cyberinfrastructure or other shared community research capability.

A.Linares-Gaffer (Nutritional Sciences) 

The purpose of the Higher Education Multicultural Scholars Program (MSP), Assistance Listing 10.220, is to provide scholarships to support recruiting, engaging, retaining, mentoring, and training committed multicultural scholars, resulting in either baccalaureate degrees within the food and agricultural science disciplines or Doctor of Veterinary Medicine (D.V.M.) degrees. The goals and objectives of the scholarships are to encourage outstanding students from groups that are historically underrepresented and underserved to pursue and complete baccalaureate degrees in food and agricultural sciences, or achieve a D.V.M., that would lead to a diverse and highly skilled work force. This may or may not include the teaching and preservation of traditional ecological knowledge.