Join the lab




Graduate Students

The Smith lab is always looking for highly motivated Masters and Ph.D. students.

The lab is fully equipped to explore the response and feedback of plants to environmental change. I am interested in students with diverse backgrounds in any one or combination of plant physiology, ecology, mathematics, statistics, or modeling. Though, a desire to broaden your skills is strongly preferred!

As a graduate student in my lab, you will be given the freedom to explore topics and develop projects that you are passionate about. To encourage the development of new skills, I may ask you to step outside your comfort zone. I encourage collaboration among lab members as well as with other researchers at Texas Tech and institutions with which we collaborate, including universities and national laboratories.

I have funding to support students year round through a combination of Research and Teaching Assistantships. Additionally, we have funds for multi-scale field, lab, and computational experiments as well as dissemination of research at local, national, and international meetings.

Interested students can apply through the Biology Department at Texas Tech. Further information, including application instructions and degree requirements can be found here. Interested students are encouraged to contact Nick prior to applying.


At the moment, I do not have any funds for additional postdocs in the lab. However, if you are passionate about doing in doing a Postdoc in the lab, I would be willing to help find and apply for appropriate grants. Please contact Nick to explore different Postdoc funding avenues.

The Biology department at Texas Tech offers a wide variety of research facilities, including greenhouse and growth chamber space. Texas Tech also has a High Performance Computing Facility, well suited for running large-scale analyses and model simulations.

Lubbock, Texas offers a low cost of living and high quality of life. Lubbock is situated within the heart of West Texas, within driving distance of canyons, mountains, forests, and prairies.