Postdoctoral Research Associate position is available immediately in
the Department of Mathematics and Statistics at USF with focus on
mathematical models and computational studies of DNA recombination,
rearrangement, epigenetics, and non-coding RNA. This position will
hold a joint appointment in the Department of Ecology &
Evolutionary Biology at Princeton University.
Professors Natasha Jonoska, Laura Landweber and Masahico Saito
seek a joint postdoctoral research associate to model and analyze
scrambled gene and genome rearrangements, using and developing novel
computational and bioinformatic research tools.
Minimum Requirements: Ph.D. in mathematical
sciences/computational biology or a relevant field; strong training,
research experience, and publications from the Ph.D.; ability to work
independently and creatively, and strong written/oral communication
skills are necessary.
The candidate is expected to spend time at both institutions, with a schedule to be worked out with the faculty. For more information about our labs, see http://knot.math.usf.edu/ and http://www.princeton.edu/~lfl. The official appointment will be based at USF in Tampa in the first year, with travel between both institutions. (Flights are currently very convenient between Trenton and Tampa.)
This is a one-year initial appointment with possibility of
renewal. Funding is expected to be available for additional
years. Apply online at
https://gems.fastmail.usf.edu:4440/psp/gemspro-tam/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_CE.GBL?Page=HRS_CE_JOB_DTL&Action=A&JobOpeningId=2682&SiteId=1&PostingSeq=1 .
Please upload A SINGLE PDF file containing a cover letter, CV, statement of research interests,
and names and e-mail addresses of at least three references. Application
review will begin immediately; the start date is flexible.
For information regarding the USF System, please visit
http://system.usf.edu/.
According to Florida Law, applications and meetings regarding them are
open to the public. USF and Princeton University are Equal
Opportunity Institutions.
Laura Landweber <lfl@princeton.edu>