Cohort 1 is running now · Expressions of interest for the next cohort are open
Express your interestPaid PhD research program
Do your research with Bower
Bower is running a short research program with a small group of PhD researchers to understand how AI can support day-to-day research. Participants use Bower during their normal lab or field work and meet with our team once a week to share what's working and what isn't. Their feedback directly shapes how we build tools for the next generation of scientists.
Express your interestCurrently running · 5-week program · Open to PhD researchers in the US, Australia and New Zealand.
What is Bower
The operating system for science
Bower works alongside researchers, capturing scientific work as it happens through voice, images and video. Every observation, decision and experiment becomes structured, searchable organizational knowledge that can be accessed, reused and built upon by the entire team. The result is an organization that preserves expertise, improves reproducibility and becomes more capable with every experiment.
What is involved
Partner with the Bower team so Bower works how you do
Use Bower
Work with Bower during your normal research activities for roughly 5 weeks.
Weekly session
Join one 30-minute online feedback session each week.
Paid participation
Participants receive a prepaid Visa card for each completed week.
Who we are looking for
PhD researchers doing hands-on science
PhD candidates in the US, Australia or New Zealand whose research involves laboratory work or fieldwork. We're seeking a broad mix of disciplines, including (but not limited to) laboratory sciences, (geo)chemistry, biology, geology, archaeology, environmental science, agriculture and marine science.
Interested in joining?
The current cohort is running now. Register your interest for this program or for future programs, and we'll follow up with a short questionnaire to check eligibility.
Express your interestFuture programs run periodically. The same form covers both.
Bower — Science that scales.
Capture expertise. Build organizational intelligence. The next researcher performs better than the last.