https://benjaminblonder.org/postdoctoral-researcher-recruitment-alpine-plant-community-dynamics/

*To apply*

https://aprecruit.berkeley.edu/JPF04677
<https://aprecruit.berkeley.edu/JPF04677>
Position overview

*Position title:* Postdoc Employee
*Salary range:* The UC academic salary scales set the minimum pay
determined by rank and step at appointment. See the following table(s) for
the current salary scale(s) for this position
https://www.ucop.edu/academic-personnel-programs/_files/2024-25/oct-2024-scales/t23.pdf.
A reasonable estimate for this position is $66,737 – $74,425.
*Percent time:* 100
*Anticipated start:* Spring 2025
*Position duration:* 2 years with the possibility of extension based on
performance and availability of funding.
Application Window

*Open date: *November 14, 2024

*Next review date:* Friday, Nov 29, 2024 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.

*Final date: *Sunday, Dec 15, 2024 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those
received after the review date will only be considered if the position has
not yet been filled.
Position description
The Macrosystems Ecology Laboratory (PI Benjamin Wong Blonder, Department
of Environmental Science, Policy, and Management) seeks a postdoctoral
researcher in the area of community ecology.

The Macrosystems Ecology Laboratory focuses on predicting organismal
response to environmental change. The postdoctoral researcher for this
position, under the guidance of the PI, would be the lead researcher for a
National Science Foundation-supported Long Term Research in Environmental
Biology (LTREB) grant, “Whole-community plant demography in a variable
environment: assembly mechanisms and outcomes in the Colorado alpine”.

Project rationale: Predicting the responses of ecological communities to
rapid environmental change is becoming increasingly important. Making good
predictions is challenging because of the potential complexity of
interactions among large numbers of species. Additionally, developing
robust theory requires well-studied test cases (datasets). While such test
cases exist in several long-term forest study systems, there is much less
knowledge available for other biomes, e.g. the alpine. The alpine biome
also is one of the most vulnerable to ongoing climate changes.

Project scope of work: This project will conduct long-term monitoring of
plant community dynamics in the Colorado alpine biome, assembling a unique
long-term record of population and community change during a period of
rapid environmental change. The project will focus on integrating
species-scale demographic models with community-scale models. The project
will test hypotheses related to three core questions:

   1. What are the roles of spatial neighborhoods, metacommunity/dispersal
   processes, and ontogenetic/size structure in community assembly?
   2. How do these processes influence community dynamics in a variable
   environment?
   3. Can community states in the future be forecasted, and with what
   uncertainty? The project uses a long-term alpine tundra study system (at
   3,500 m elevation in the Rocky Mountains). Two datasets are collected
   across 100 vegetation plots: (a) annual whole-community demography
   (survival, size change (growth), fecundity, recruitment) for all
   individuals including seedlings of all 20 co-occurring species, including
   georeferencing; and (b) annual remotely sensed multispectral imagery of all
   plots, obtained during peak flowering, that can be used to increase dataset
   size via machine learning. To address (Q1), the project will carry out
   additional seed bank and seed rain studies, then use these data and the
   Core Data to test hypotheses about species interactions. To address (Q2),
   the project will build integral projection models and individual based
   models for all species taking into account density dependence, species
   interactions, and temporally variable biotic and abiotic context. To
   address (Q3), the project will then provide falsifiable forecasts with
   uncertainties for community dynamics under multiple climate change
   scenarios.

The postdoctoral researcher’s responsibilities will include:

   - Collecting the Core Data as part of a field team each year;
   - Designing and implementing the seed bank and seed rain project
   components;
   - Co-mentoring 1-2 undergraduate researchers each year;
   - Building integral projection models and/or individual-based models
   based on project data;
   - Working on a team to coordinate data entry, quality control, and
   archiving;
   - Presenting research findings at one conference per year;
   - Preparing manuscripts for publication, as lead author.

Mentoring
The postdoctoral researcher would be based in the research laboratory of PI
Dr. Blonder on the UC Berkeley campus. They would also be co-mentored
remotely by Dr. Ian Breckheimer (co-PI and staff scientist, Rocky Mountain
Biological Laboratory) and Dr. Roberto Salguero-Gómez (associate professor,
University of Oxford). They would receive additional support from
collaborators Dr. Stephen Ellner (professor, Cornell University) and Dr.
Courtenay Ray (postdoctoral researcher, University of Wyoming).

The postdoctoral researcher would meet regularly with the PI and the
project team, and would participate in regular goal-setting and development
plan activities. They would have the opportunity to participate in campus
data science, wilderness first aid, faculty development, and other
professional development opportunities. They would have the opportunity to
guest lecture in the PI’s undergraduate ecology class, and to mentor
undergraduate research students. They would be able to use project funds to
attend one USA-based conference each year.

The PI’s group provides a supportive work environment that recognizes and
supports people of diverse identities and needs. There are currently ~6
people in the group; lab meetings and peer mentoring occur regularly, as do
social activities. The PI has had leadership roles in departmental
anti-racism and field safety committees and will ensure that these themes
are also priorities in the research group.

Working at Berkeley
Berkeley is on Ohlone land. The area has a mild year-round climate and
offers an opportunity to be close to the diverse communities in Oakland,
San Francisco and other nearby cities. The Berkeley campus is directly
accessible from the SFO and OAK international airports by public transit
(BART trains), and car-free daily living is possible. The ecological
diversity of California is also readily accessible from the city.

Fieldwork in Colorado
The field site is located on a high alpine ridgeline on Mt. Baldy in the
Gunnison National Forest on traditional Ute lands, a few miles from the
Maroon Bells / Snowmass Wilderness Area. Access to the field site is via a
scenic hike; the field station itself is located in a valley surrounded by
high peaks, with numerous outdoor recreation opportunities within walking
distance .The field station typically hosts 100+ people each summer and
provides additional community and support to researchers.
Qualifications
*Basic qualifications* (required at time of application)


   - PhD (or equivalent international degree) or enrolled in a PhD degree
   program (or equivalent international degree)

*Additional qualifications* (required at time of start)


   - PhD (or equivalent international degree) by the start date
   - No more than three years of post-degree research experience by start
   date

*Preferred qualifications*


   - PhD in ecology, evolution, plant biology, demography, mathematics,
   statistics, or a related field
   - Prior experience doing ecological fieldwork
   - Prior experience fitting population or community models to empirical
   datasets
   - Availability for 2 weeks of team-based fieldwork in early August each
   summer, requiring living at the Rocky Mountain Biological Laboratory in
   Gothic, Colorado; expectation of 5-6 days/week fieldwork with pre-sunrise
   departures
   - Availability for 3-5 days similar fieldwork in mid June and mid
   October each year
   - Ability to walk 6 miles (1500 ft elevation gain) each field day
   - Valid United States driver’s license

Application Requirements
*Document requirements*


   - Curriculum Vitae – Your most recently updated C.V.

   - Cover Letter


*Reference requirements*

   - 3 required (contact information only)

*Apply link:* https://aprecruit.berkeley.edu/JPF04677
*Help contact:* benjamin.blon...@berkeley.edu

About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging.
The excellence of the institution requires an environment in which the
diverse community of faculty, students, and staff are welcome and included.
Successful candidates will demonstrate knowledge and skill related to
ensuring equity and inclusion in the activities of their academic position
(e.g., teaching, research, and service, as applicable).

The University of California, Berkeley is an Equal Opportunity/Affirmative
Action Employer. All qualified applicants will receive consideration for
employment without regard to race, color, religion, sex, sexual
orientation, gender identity, national origin, disability, age, or
protected veteran status.

Please refer to the University of California’s Affirmative Action Policy
<https://www.ucop.edu/academic-personnel-programs/_files/apm/apm-035.pdf> and
the University of California’s Anti-Discrimination Policy
<https://policy.ucop.edu/doc/1001004/Anti-Discrimination>.

In searches when letters of reference are required all letters will be
treated as confidential per University of California policy and California
state law. Please refer potential referees, including when letters are
provided via a third party (i.e., dossier service or career center), to the UC
Berkeley statement of confidentiality
<http://apo.berkeley.edu/ucb-confidentiality-policy> prior to submitting
their letter.

As a University employee, you will be required to comply with all
applicable University policies and/or collective bargaining agreements, as
may be amended from time to time. Federal, state, or local government
directives may impose additional requirements.
-- 

Benjamin Wong Blonder
Macrosystems Ecology Laboratory

Department of Environmental Science, Policy, and Management

University of California at Berkeley

*Berkeley sits on Ohlone land (learn more)
<https://cejce.berkeley.edu/ohloneland>*


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Website: http://www.benjaminblonder.org

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