Applicants

 

Positions Available

Last updated: May 2019.
Post-doctoral fellows: We have an opening for a new post-doc who would start in mid to late 2019.
Graduate Students: We are open to the possibility of having a new student from the incoming class of 2019 join the lab. Dr. Frank is a member of both the Neuroscience and Bioengineering Graduate Programs and applicants should apply to one or both of those programs.

Technicians: We are currently interviewing for one technician position to start later in 2019. Please contact Dr. Frank if you would like to apply.

 

Advice for Applicants

The following are a few suggestions primarily targeted at current undergraduates who are interested in applying to positions in our laboratory or to other labs (our hope is that current graduate students already know everything below):
1.  Read (or at least skim) papers from the laboratory before you apply.  Make sure that the sort of work they do is exciting to you and that you will be willing to put in the time and the effort required to learn about the science done in the lab. 
2.  Do not write a general application letter that you send to a number of labs.  Instead, explain why you think you are interested in the work being done in the laboratory to which you are applying. 
3.  If you are planning to go to graduate school but want to work in a lab for a year or two first, consider working for two years in that position.  It takes a long time to get up to speed in any new lab, and particularly in systems neuroscience labs, it can take a year just to build up the expertise necessary to be useful.  Two years is enough to accomplish something and even perhaps write a paper.  Furthermore, it will give you the time you need to make sure that a research Ph.D is the right direction for you. 

Advice Specific to the UCSF Neuroscience Program

(Note that the points below are based on one perspective; they should not be considered a complete list.)
1.  Our program expects a substantial biology, chemistry and/or physics background.  Make sure you take a number of hard science courses.
2.  Research experience is very important.  If you do not have much research experience, you should strongly consider working in a lab for a year or two before you go to graduate school.  Not only will this help your application, but it will give you a much better sense for your own drive to do research and the advisability of taking on work required for a Ph.D.
3.  If you are interested in systems neuroscience in particular, take math (including statistics) and programming classes.  Our lab is beginning a transition from Matlab to python, and we recommend learning python.  More broadly, the ability to think quantitatively is essential to our work, and the more you know coming in the better off you will be.