The Rocky Mountain Biological Laboratory is now accepting applications for the 2021 undergraduate research program. Go to Rocky Mountain Biological Laboratory and follow the link for ‘students’.
Each year the Rocky Mountain Biological Laboratory (RMBL) matches approximately 40 students with mentors from across the country. Students have opportunities to work on a wide array of ecological and evolutionary field projects, with topics including but not limited to plant ecology, pollination, aquatic biology, insect ecology, species interactions, and animal behavior. Additionally, students have the opportunity to supplement their research project with additional training in field ecology or wildlife biology. RMBL provides REU funding for approximately 10 students. RMBL also makes available additional scholarships. Consequently, financial need should not preclude students from applying.
This is a wonderful opportunity for students thinking about a career in the sciences. RMBL is located in Gothic, Colorado, a stunningly beautiful location in the Rockies. Because we host more than 100 graduate students and senior scientists, undergraduates have an opportunity to learn about graduate programs from around the world. Many undergraduates end up as co-authors on scientific papers and start building professional networks that foster their career across a lifetime. We have had many undergraduates turn their summer research into a senior thesis project.
Our program does fill. We encourage strongly motivated applicants, including applicants who need financial support, to submit their online application by Feb. 15 for REU applicants and by March 1 for RMBL Scholarships. Students can apply for both sources of funds with one application.
ÃfÂ¢Ã’ÂEURÃ’Â¢ Publish in peer-refereed journals
Required knowledge skills and abilities:
ÃfÂ¢Ã’ÂEURÃ’Â¢ Ph.D. in ecohydrology, plant sciences, computational sciences, geography, or a related field, completed within the past 5 years
ÃfÂ¢Ã’ÂEURÃ’Â¢ Experience in the assessment of plant traits relevant to crop yield
ÃfÂ¢Ã’ÂEURÃ’Â¢ Knowledge of programming (e.g., C++, R, Python) and quantitative data analysis
ÃfÂ¢Ã’ÂEURÃ’Â¢ Ability to work independently and in an interdisciplinary research team
ÃfÂ¢Ã’ÂEURÃ’Â¢ Excellent interpersonal and communication skills
ÃfÂ¢Ã’ÂEURÃ’Â¢ Demonstrated ability to publish in peer-refereed journals