Dr Daniel Reuman is recruiting an hourly undergraduate research assistant into his lab at the University of Kansas Department of Ecology and Evolutionary Biology and Kansas Biological Survey. At least 2 years of funding at the rate of 10hrs/wk, $10-18/hr is in hand from grants from the National Science Foundation and the McDonnell Foundation. The URA will join an interdisciplinary team consisting of Reuman, two postdocs, Prof Erik Van Vleck of the Department of Mathematics, and a variety of collaborators all over the world.
In many ecological systems, animal and plant populations fluctuate through time in a correlated or “synchronized” way. This phenomenon of synchrony is fundamental to population ecology, and also has major importance for numerous applications including pest and disease control, agriculture, public health and infectious disease control, conservation, and the stability of ecosystems generally. Synchrony is found in organisms as diverse as mammals, birds, fish, insects, amphibians, marine and freshwater phytoplankton and zooplankton, bacteria and viruses.
The student will participate in and support research by helping with data analysis and computer modelling and coding. Although we seek a student that already has some quantitative skills, it is expected that the student will spend most of his/her time learning techniques in the early part of the appointment. We are looking for someone who is interested in making a long-term commitment to developing their ability to analyse biological data with mathematical, statistical or computational methods, building toward contributing to research projects and/or carrying out an independent project with the aid of the rest of the lab. Preference will be given to students who anticipate being able to continue working in the lab for 1-2 years or more. Typically the student will be enrolled as an undergrad at the University of Kansas, Lawrence, or at Haskell Indian Nations University during the period of the appointment. Individuals from biological, physical sciences, computing or related majors will be considered.
See http://www.reumanlab.res.ku.edu/ for further information about the Reuman lab and links to past publications. Email email@example.com with questions or to discuss the position. A start date during autumn 2018 is preferred. To apply, please send to firstname.lastname@example.org a CV, a cover letter, and a list of past courses taken and grades obtained (an informal transcript, or a formal one if you have it on hand). Or apply here https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=25752&siteid=5542&Areq=12413BR#jobDetails=3558690_5542 with the same materials. Position open until filled.