The Office of Research Development (ORD) invites eligible Rowan University assistant professors to participate in our internal limited‐submission competition for the 2026 Searle Scholars Program, which provides $300,000 over three years ($100,000/year) for independent biomedical research. Only one nominee may be endorsed.

Program & Funding Highlights

• Award Amount: $300,000 direct costs (no indirect costs) over three years.
• Activation: July 1, 2026.
• Scope: High‐risk, high‐reward research in biochemistry, cell biology, genetics, immunology, neuroscience, pharmacology, and related areas. Purely clinical studies are not ordinarily supported; projects combining basic and clinical components may be considered.
• Mentorship & Community: Annual workshops, networking with past Scholars, and advisory support.

Eligibility Criteria

1. Faculty Rank & Appointment: First tenure‐track (or equivalent) assistant professor appointment at Rowan University, begun on or after May 1, 2024.
2. Research Focus: Developing an independent research program in eligible fields.
3. Institutional Nomination: Only nominated candidates (one per institution) may apply; prior nominees who meet criteria may be re‐nominated.
4. Commitment: Must be able to dedicate substantial effort to the funded research over three years.

Important Dates

• Internal Nomination Window: Now through Friday, July 25, 2025 (11:59 p.m.).
• Internal Selection: ORD committee will announce the chosen nominee by Monday, August 4, 2025.
• External Nomination Deadline: Wednesday, September 30, 2025, 5:00 p.m. CT (Searle Scholars online portal).

Internal Nomination Packet (single PDF)

• Cover Sheet
• CV/Biosketch (5‐page maximum).
• Research Statement (2–3 pages, double‐spaced) outlining:
  • Proposed project aims, innovation, impact, and three‐year research plan.
• Letter of Support (from department chair confirming eligibility and departmental commitment).
• Budget Justification (one page) detailing allocation of the $300,000.

Submit the complete packet via the ORD email account ORD@rowan.edu by August 15, 2025. Late or incomplete submissions will not be considered.

We encourage all eligible faculty to prepare and submit a strong nomination packet. This prestigious award can catalyze your independent research trajectory and establish Rowan University as a leader in high‐impact biomedical innovation. 

For additional assistance, contact the Office of Research Development at ORD@rowan.edu.

The New Jersey Economic Development Authority (NJEDA) will open applications for the Artificial Intelligence (AI) cohort within the New Jersey Innovation Fellows Program (NJIF) on Wednesday, June 18, 2025, at 10:00 a.m. The NJIF AI carve-out provides income replacement grants of up to $400,000 to eligible entrepreneur teams launching AI-driven ventures. This opportunity aligns with Governor Murphy’s goal of positioning New Jersey as a leader in emerging AI industries.

Program Overview

• Grant Support: Awards of $200,000, with up to $200,000 in additional bonuses for teams that (a) reside in a designated Opportunity Zone, (b) self-identify as women or minorities, or (c) graduated from a New Jersey college or university.
• Mentorship & Training: A 24-month mentorship program, led by Princeton University, offering domain-expert guidance, workshops, and networking with academic and industry partners.
• Focus Areas: Innovations employing machine learning, autonomous decision-making, data-driven insights, natural language processing, computer vision, and generative AI.

Eligibility

• Applicant teams must consist of at least three individuals.
• Teams should be actively developing or preparing to launch an AI-driven business.
• For full eligibility criteria, please see the NJEDA Notice of Funding Availability (link below).

Important Dates

• Q&A Period: Thursday, May 29, 2025, at 10:00 a.m. through Tuesday, June 17, 2025, at 5:00 p.m.
  • Submit questions to njinnovationfellows@njeda.gov.
• Application Window:
  • Opens: Wednesday, June 18, 2025, at 10:00 a.m.
  • Closes: Wednesday, July 30, 2025, at 5:00 p.m.

For detailed instructions, eligibility requirements, and to access the full press release, please visit:
Full Press Release & Application Details.

The Office of Research Development (ORD) is pleased to announce the 2026 New Jersey Individual Artist Fellowship, offering awards of $3,000–$32,000 to support New Jersey resident artists in advancing their creative practice (e.g., supplies, studio rent, workshops). Only individual artists (including faculty applying in their personal capacity) are eligible institutions may not apply on behalf of faculty. 

Key Dates:

• Early-Bird Deadline: July 2, 2025 (5:00 PM ET) – allows time to correct any technical issues
• Final Deadline: July 16, 2025 (5:00 PM ET) – all materials must be submitted via SmartSimple (https://midatlanticarts.smartsimple.com)  
• Grant Period: January 1–December 31, 2026; notifications by March 1, 2026. 

Applicants must be permanent NJ residents (18+) and not enrolled as degree-seeking students at the time of award. Submit discipline-specific work samples, a brief project narrative, and a budget outlining use of Fellowship funds. For full guidelines and technical requirements, visit the Office of Research Development webpage or email fellowships@midatlanticarts.org. Don’t miss this opportunity to elevate your artistic trajectory—apply by July 16, 2025. 

For additional assistance, contact the ORD at ORD@rowan.edu.

Navy SBIR/STTR Summer Exchange

When: July 10, 2025 | 1:00 PM – 4:00 PM EST (virtual)

Overview:
Engage directly with DoD innovation leaders at this three-hour workshop featuring briefings from SOMD, Ventura, High Desert, Inland Empire, and Hawaii Tech Bridges, as well as NAVSEA and NAVAIR. Learn best practices for SBIR/STTR proposal submissions, explore Tech Bridge prototyping and transition capabilities, and participate in a TPOC panel discussion to gain expert insights.

Who Should Attend:

• Faculty and PIs in engineering, computer science, autonomy/AI, defense electronics, and related fields
• Office of Research Development and Sponsored Programs staff
• Technology Transfer and Commercialization teams
• Entrepreneurial faculty and graduate students launching startups
• Industry Liaison and Corporate Partnership offices

Why Attend:

• Deepen your understanding of SYSCOM priorities and funding mechanisms
• Discover support pathways for prototype development and testing
• Network with key DoD stakeholders and peer innovators

Registration:
Secure your spot via the Navy SBIR/STTR Summer Exchange registration page

Questions?
Contact Laura Friess at laura.a.friess.civ@us.navy.mil.

Don’t miss this opportunity to accelerate your research impact and forge strategic partnerships within the DoD innovation ecosystem.

• Support for Research Data Management - consult us about creating a Data Management Plan, identifying an appropriate data repository, and other research data issues.

• Journal Selection Reports - get help identifying a journal to submit your manuscript.

• Support for Open Access Publishing - learn more about how to publish your work Open Access with the help of various library services.

• ORCID @ Rowan - set up an ORCID account that is connected to your Rowan affiliation.

• Researcher Impact - analyze and show the impact of your work using metrics.

Get expert, low-cost support from the Rowan Statistical Consulting Group (SCG). The benefits of working with our faculty statisticians include:

• Lowering study costs by optimizing statistical methodology aligned with your research needs
• Grant and future publication preparation support related to statistical methodology and analyses, including responses to reviewer comments - shown to improve funding outcomes! 
• Peace of mind knowing that your study used appropriate and effective statistical analyses.
• Receiving an additional portion of indirect costs returned when you include a Rowan SCG statistician in your grant.

SCG faculty have expertise in a variety of fields and approaches. Examples include:

• Biostatistics: study design, data cleaning, and statistical analyses such as t-test, ANOVA, chi-square, regressions, survival analysis, modeling, multivariate analysis, meta-analysis, propensity-score matching
• Data Mining/Deep Learning/Machine Learning: dimensionality reduction, classification, clustering, decision trees, neural networks
• Platforms: SAS, R, Python, JMP, SPSS