Postdoc position for research and modeling reproductive success,
hybridization, and spread of invasive salmonid species under climate
change
Aquatic Invasive Species (AIS) including non-native fish are
spreading across North America causing massive economic and ecological
problems. Problems include species extinction and genomic extinction
via hybridization. Fortunately, large regional databases documenting the
spread of AIS and hybridization along with novel modeling approaches can
facilitate understanding and prevention of AIS spread and hybridization.
The successful applicant will conduct parentage analysis for an NSF-funded
project to quantify effects of admixture on individual fitness and
dispersal in hybrid rainbow trout x cutthroat trout (as in Muhlfeld et
al. 2009). In a 2nd (NASA-funded) project, the applicant will develop
and apply predictive models (e.g. occupancy models, Bayesian models)
that combine genetic and environmental data on AIS spread to help
forecast future stream-hotspots for invasion and hybridization (Kovach et
al. 2016; Muhlfeld et al. 2017). The models will help identify predictors
of hybridization and spread to direct managers to monitor and control
AIS. Opportunities exist for fieldwork and meetings with biologists from
Glacier National Park, USGS, USFS, NOAA, NASA, and MFWP (Montana Fish
Wildlife and Parks) in the north-central Rocky Mountains. The applicant
will co-author publications involving other invasive and endangered
species (e.g., Sepulveda et al. 2020). The applicant could help publish
novel results from a 6-year genetic rescue project testing if outbred
individuals have higher survival than inbred individuals in an alpine
population of native cutthroat trout.
The successful applicant will work with scientists and managers from
state and federal agencies (Montana FWP, USGS, NPS) to conduct the
parentage analyses using NGS data (RAD microhaplotypes) on thousands of
parent-offspring samples from multiple streams. This is a dream dataset
ready for analysis of reproductive success from many years & three
populations from distinct enviroments. The applicant will also work with
scientists and managers (USGS, NPS, NASA) to use individual-admixture
data from stream networks to model and identify predictors of dispersal
and hybridization. The applicant will work with NASA and NISC (National
Invasive Species Council) to facilitate reporting of AIS and environmental
data to address the United Nations on Sustainable Development Goal
(SDG) number Goal 15 that seeks to “halt and reverse land degradation,
and halt biodiversity loss”.
Required Skills
– Ph.D. in Ecology, biodiversity, or population genetics and with
experience modeling.
– Ability to conduct parentage analysis (exclusion) using
haplotypes from RAD-capture data
– Ability to model the presence (occurrence) or movement of
individuals or genes (gene flow) using occupancy or individual-
based simulation models, or hierarchical Bayesian models.
– Programming ability in Python, R, or similar language is
required.
– Ability to write and publish papers, use and manage large
databases, and communicate with others from diverse groups
(e.g., agencies, managers, researchers).
– Ability to undertake collaborative, complex research projects
with multiple deliverables, and to achieve project goals within
time and budget.
Preferred Qualifications
– Ideally the applicant would have experience conducting
statistical (GLM or Bayesian) modeling to predict environmental
drivers (correlates) of movement or connectivity.
– Interest in the evolution and ecology of salmonid fishes, or
fish more generally.
– Experience applying satellite remote sensing and other
geospatial data for landscape habitat analysis & modeling
directed toward aquatic ecosystems would be extremely helpful.
– Understanding eDNA qPCR or metagenomics analyses.
– Ability and interest in co-advising graduate students and
technicians in modeling and population genetic or eDNA
data analysis.
– Ability to write compelling grant proposals for work in
population genetics and hybridization, or modeling spread of
AIS or hybridization using environmental and population
genetic data).
The Montana Conservation Genomics Laboratory (Dr. Gordon Luikart and
Dr. Brian Hand) at the University of Montana and the Flathead Lake
Biological Station, are seeking to fill a postdoctoral research associate
position working on Aquatic Invasive Species (AIS) for a NASA grant and
a related contract with Montana FWP. This work is collaborative with
researchers at USGS and Montana FWP.
The University of Montana is an Affirmative Action/Equal Opportunity
employer and has a strong institutional commitment to the principle of
diversity in all areas. In that spirit, we are particularly interested
in receiving applications from a broad spectrum of qualified people who
would assist the University in demonstrating its five priorities for
action: Place student and postdoc success at the center of all we do;
drive excellence and innovation in teaching, learning, and research;
embody the principle of “mission first, people always”; partner with
place; and proudly tell the UM story. UM is an Employer of National
Service. AmeriCorps, Peace Corps, and other national service alumni are
encouraged to apply for our positions.
ADA/EOE/AA/Veteran’s Preference.
Priority Application Date: July 15th, 2021. Duration:
One year with possible/likely 1-year extension.
Please find the full job posting under “Postdoctoral
Research Associate, Flathead Lake Biological Station (FLBS) at:
http://bit.ly/2241umjobs
or
https://university-montana-hr.silkroad.com/epostings/index.cfm?fuseaction=app.jobinfo&jobid=2902&company_id=16254&version=1&source=ONLINE&jobOwner=992275&aid=1
Literature Cited:
Kovach, R., B.K. Hand, P. Hohenlohe, T. Cosart, M. Boyer, H. Neville,
C. Muhlfeld, S. Amish, K. Carim, S. Narum, W. Lowe, F.W. Allendorf,
and G. Luikart. 2016. Vive la r?sistance: genome-wide selection against
introduced alleles in invasive hybrid zones of trout. Proceedings of
the Royal Society, 283: 4663-4674.
Muhlfeld et al. 2009. Hybridization rapidly reduces fitness of a native
trout in the wild. Biol. Lett., 5: 328- 331. doi: 10.1098/rsbl.2009.0033.
Muhlfeld C.C., R.P. Kovach, R. Al-Chokhachy, S.J. Amish, J.L. Kershner,
R.F. Leary, W.H. Lowe, G. Luikart, P. Matson, D.A. Schmetterling,
B.B. Shepard, P.A.H. Westley, D. Whited, A. Whiteley, and F.W. Allendorf.
2017. Legacy introductions and climatic variation explain spatiotemporal
patterns of invasive hybridization in a native trout. Global Change
Biology, 23: 4663-4674. DOI: 10.1111/gcb.13681
Sepulveda, A., N. Nelson, C. Jerde, and G. Luikart. 2020. Are
environmental DNA methods ready for aquatic invasive species
management? Trends in Ecology and Evolution, 35:668-678.