Programme Thesis
The Transport Phenomena (TP) program funds fundamental engineering research on the transport of mass, momentum, energy, and species across multiple scales, aiming to advance national priorities such as AI, manufacturing, biotechnology, and energy. It exists to support experimental, theoretical, and computational work that improves understanding and creates novel analytical techniques with clear engineering applications.
Selection Criteria
- Intellectual Merit: Potential to advance knowledge in transport phenomena (e.g., multiphase flows, interfacial phenomena, thermal transport, combustion).
- Broader Impacts: Benefits to society, education, and national priorities (e.g., biotechnology, microelectronics, energy).
- Fundamental Focus: Research must be fundamental, not applied, but with a clear vision of engineering applications.
- Methodological Rigor: Use of experiments, theory, and/or computational modeling; novelty of analytical techniques.
- Feasibility: Realistic budget, timeline, and resources; PI qualifications and institutional support.
Past Winners / Cohort Profiles
Typical awardees are faculty or postdocs at US universities or research institutions with strong engineering departments. Past projects include microfluidic device design, multiphase flow modeling, thermal management in electronics, and combustion kinetics. Named examples are not provided on the page, but archetypes are mechanical, chemical, or biomedical engineers with a track record in fluid dynamics or heat transfer.
Ideal Candidate Fingerprint
The ideal applicant is a US-based engineering faculty member or postdoc with a PhD in mechanical, chemical, or biomedical engineering, proposing fundamental research on transport phenomena (e.g., multiphase flows, interfacial rheology, thermal transport) with clear experimental or computational methods and a vision for engineering applications. They have prior NSF funding or a strong publication record in relevant journals.
Recommended Framing
Eniola Olutogun's research on the CCT model and computational neuroscience/pharmacology is not aligned with the Transport Phenomena program, which focuses on engineering transport of mass, momentum, and energy. To apply, they would need to radically reframe their work around, for example, drug transport in biological fluids or neural signal propagation as a transport phenomenon, but this would be a stretch and likely uncompetitive. The strongest angle is to not apply and instead target neuroscience or addiction-focused funding (e.g., NIH NIDA, NSF Cognitive Neuroscience).
Watch Out
Eniola is an independent researcher in Nigeria, not affiliated with a US institution (NSF typically requires US-based PI or co-PI). Their research area (addiction, computational neuroscience) does not match the program's focus on engineering transport phenomena. No prior engineering or transport-related publications. The program does not fund pre-PhD or independent researchers without a US institutional home.