[ECOLOG-L] PhD position in ecological stoichiometry and ionomics

[Puni Jeyasingh]

Puni Jeyasingh's research group at Oklahoma State University (
http://puni.okstate.edu/) is recruiting a doctoral student interested in
discovering fundamental rules underlying biomass production. Specifically,
we seek to illuminate adjustments in the processing of all elements in a
cell or organism (i.e. its ionome) in response to differential supply of
elements that are known to limit growth (e.g., carbon, nitrogen,
phosphorus). Such adjustments should carry substantial costs, although very
little is known. We primarily study aquatic (freshwater) organisms using
chemostats, and in-lake mesocosms. Candidates will learn basic theories
describing growth, experimental ecology using post-genomic era tools,
and analyses
of high dimensional data. Such work can prepare the student for a career in
academia, industry, or government, depending on the specific topic chosen
for the dissertation.

The position will be funded (stipend + health insurance + tuition waivers)
via research and/or teaching assistantships for the entirety of the
doctoral program, pending satisfactory performance. The position is
available as early as the Fall 2018 semester (mid-August).

Selection process:
1) Email Puni indicating interest (along with CV);
puni.jeyasi...@okstate.edu
2) Preliminary dialog/e-interview to determine fit
3) Apply formally to the OSU Graduate College (a BS or MS in a biological
field is required to be considered for admission to the doctoral program).

[ECOLOG-L] National Ecological Observatory - Field Ecologist II job - Arizona

[Laura Reynolds]

Battelle and its affiliate, Battelle Ecology, Inc. manages and operates 
the National Ecological Observatory Network (NEON) project, which is 
solely funded by the National Science Foundation. A 30+ year project 
dedicated to understanding how changes in climate, land use and invasive 
species impact ecology.

The Field Ecologist II is a biological sampling lead performing seasonal 
and periodic sampling activities and sample processing, and will be the 
technical lead for performing routine maintenance and inventory 
management on all terrestrial sampling equipment. The Field Ecologist II 
will provide guidance to temporary field crews while working in the 
field and laboratory.

Instrumentation (tower) emphasis:
•   Test, troubleshoot and operate instruments, calibration 
equipment and test fixtures.
•   Inspect and maintain civil infrastructure including boom arms, 
sensor mounts, towers, boardwalks and instrument huts.
•   Assist the NEON Project Systems Engineering Product Team with 
instrument installation and testing (approximately the first 6 months).
•   Record activities, completed work and trouble tickets according 
to Field Operations protocol.

Location:  Tuscon, AZ
Status:  Fulltime

Required:

o   Bachelor’s Degree in ecology, environmental sciences or related 
scientific discipline.
o   Three (3) or more years’ of related experience.

To see full job description and to apply go to:  
http://www.neonscience.org/

Must have permanent authorization for US employment. Battelle Ecology, 
Inc. will not provide any kind of visa sponsorship.

Employment is contingent on background screen, drug screen, motor 
vehicle records check and physical.

Must possess a current and valid State issued driver’s license with 
insurable Department of Motor vehicle record (parking violations, minor 
driving offenses excluded) as determined by Battelle Ecology Inc.’s 
insurance provider.

This position offers competitive total rewards including 401(k), health, 
vision and dental insurance, paid time off and the opportunity to work 
at an organization with a great mission. 

Battelle Ecology, Inc. provides employment and opportunities for 
advancement, compensation, training, and growth according to individual 
merit, without regard to race, color, religion, sex, national origin, 
sexual orientation, gender identity, marital status, age, genetic 
information, or disability. Our goal is for each staff member to have 
the opportunity to grow to the limits of their abilities and to achieve 
personal and organizational objectives. We will support positive 
programs for equal treatment of all staff and full utilization of all 
qualified employees at all levels within Battelle Ecology, Inc.

[ECOLOG-L] UC Irvine Summer Institute - Ridge-2-Reef - Climate and Life

[Marni Falk]

Ridge to Reef - Climate and Life Summer Institute 

UC Irvine announces a 10-day Summer Institute for graduate students, 
R2R-CAL: Ridge to Reef - Climate and Life, that tackles climate-human- 
ecosystem interactions to impact management and decision making from 
local to global scales.  

R2R-CAL engages participants with interdisciplinary training to build 
deep understanding and effective modeling of coupled human-natural 
systems.

Emphasis will be placed on integrating theory, analysis of large data 
sets, and modeling across space and time scales, as well as 
translational research and co-generation of knowledge with stakeholders 
who critically need information to management and preserve the 
environment.

The program is open to all post-docs and graduate students.

Application deadline is May 14, 2018.

For more information please visit: 

http://r2r.bio.uci.edu/training/summer-management-research-training-
institute-smart/r2r-cal-2018/

[ECOLOG-L] Faculty Team Positions at the Boyce Thompson Institute

[Amy Yanosh]

Faculty Team Positions at the Boyce Thompson Institute
Description. BTI, an independent research institute on the Cornell University 
campus, invites applications for teams of 2-3 individuals seeking to conduct an 
interdisciplinary project(s). BTI will evaluate the success of these 
appointments by demonstration of collaboration and strategic contributions to 
projects with colleagues, rather than leadership within a given discipline or 
biological focus. Therefore, selection of successful applicants will be based 
on the potential of the team, rather than the individuals involved. Successful 
teams will therefore conduct a project together, but their members will also be 
parts of other teams involving BTI, Cornell or other scientists around the 
world. The research goals of the team project should be within, or touch on, 
the field of plant science. However, we encourage the involvement of 
non-traditional disciplines including engineering, physics, or any other field 
with the potential to contribute to plant science. We welcome projects that 
include potential translational components. Queries as to appropriate topics 
for applications are welcomed.

Appointment type. Appointments will be made at the Assistant Professor level 
initially for three years, with a second 3-year appointment possible. 
Exceptional performance of the team on the criteria mentioned above could lead 
to consideration of further extension. A generous research/startup fund will be 
provided to the team to be shared as it sees fit.

Application process. Applications should include a single proposal for 
collaborative research project(s) of up to three pages, with a maximum of two 
additional pages to describe the collaborative framework. This document should 
describe the rationale for forming a team, anticipated synergies within the 
team, and the concept for project management and budgeting. Individual CV's 
with the names of three references should also be included. Materials should be 
submitted as a single PDF document to 
teamsea...@btiscience.org.

For potential applicants who wish to participate in team science but have not 
yet conceived that team, BTI has created a virtual space to facilitate 
exchanges of research ideas, platforms and expertise - please visit 
http://btiteamforum.org/.  Identifying information on this site is kept 
confidential, including to the search committee, and your contributions are 
accessible only to others who express a mutual wish to be considered as a 
potential member of your team.

Please visit the Frequently Asked 
Questions
 page and send additional inquiries to 
teamsea...@btiscience.org. We will be happy 
to arrange phone calls to discuss these novel positions. Review of applications 
will begin May 14, 2018, with the starting date for the appointments being 
flexible. Additional information about BTI can be obtained at 
http://btiscience.org.

BTI is an equal opportunity employer. All qualified applicants will receive 
consideration for employment without regard to race, color, religion, gender, 
national origin, disability status, protected veteran status or any other 
characteristic protected by law. We particularly encourage applications from 
teams that take advantage of the diversity of scientists.  BTI also prides 
itself on family-friendly policies and is committed to helping its staff 
achieve career success with an appropriate work-life balance.

[ECOLOG-L] Applied Bayesian modelling for ecologists and epidemiologists

[Oliver Hooker]

Applied Bayesian modelling for ecologists and epidemiologists (ABME04)

https://www.prstatistics.com/course/applied-bayesian-modelling-for-
ecologists-and-epidemiologists-abme04/

This course will run from the 15th - 19th October 2018 in Glasgow city 
centre and will be delivered by Dr Matt Denwood.

Course Overview:
This application-driven course will provide a founding in the basic theory 
& practice of Bayesian statistics, with a focus on MCMC modeling for 
ecological & epidemiological problems. Starting from a refresher on 
probability & likelihood, the course will take students all the way to 
cutting-edge applications such as state-space population modelling & 
spatial point-process modelling. By the end of the week, you should have a 
basic understanding of how common MCMC samplers work and how to program 
them, and have practical experience with the BUGS language for common 
ecological and epidemiological models. The experience gained will be a 
sufficient foundation enabling you to understand current papers using 
Bayesian methods, carry out simple Bayesian analyses on your own data and 
springboard into more elaborate applications such as dynamical, spatial and 
hierarchical modelling.

Monday 15th
Module 1: Revision of likelihoods using full likelihood profiles and an 
introduction to the theory of Bayesian statistics. Probability and 
likelihood. Conditional, joint and total probability, independence, Baye’s 
law. Probability distributions. Uniform, Bernoulli, Binomial, Poisson, 
Gamma, Beta and Normal distributions – their range, parameters and common 
uses of Likelihood and parameter estimation by maximum likelihood. 
Numerical likelihood profiles and maximum likelihood. Introduction to 

Bayesian statistics.
Relationship between prior, likelihood & posterior distributions. 
Summarising a posterior distribution; The philosophical differences between 
frequentist & Bayesian statistics, & the practical implications of these.
Applying Bayes’ theorem to discrete & continuous data for common data types 
given different priors. Building a posterior profile for a given dataset, & 
compare the effect of different priors for the same data.

Tuesday 16th
Module 2: An introduction to the workings of MCMC, and the potential 
dangers of MCMC inference.  Participants will program their own (basic) 
MCMC sampler to illustrate the concepts and fully understand the strengths 
and weaknesses of the general approach.  The day will end with an 
introduction to the bugs language.

Introduction to MCMC. The curse of dimensionality & the advantages of MCMC 
sampling to determine a posterior distribution. Monte Carlo integration, 
standard error, & summarising samples from posterior distributions in R. 
Writing a Metropolis algorithm & generating a posterior distribution for a 
simple problem using MCMC.

Markov chains, autocorrelation & convergence. Definition of a Markov chain. 
Autocorrelation, effective sample size and Monte Carlo error. The concept 
of a stationary distribution and burnin. Requirement for convergence 
diagnostics, and common statistics for assessing convergence. Adapting an 
existing Metropolis algorithm to use two chains, & assessing the effect of 
the sampling distribution on the autocorrelation. Introduction to BUGS  
running simple models in JAGS. Introduction to the BUGS language & how a 
BUGS model is translated to an MCMC sampler during compilation. The 
difference between deterministic & stochastic nodes, & the contribution of 
priors & the likelihood. Running, extending & interpreting the output of 
simple JAGS models from within R using the runjags interface.

Wednesday 17th
Module 3: Common models for which jags/bugs would be used in practice, with 
examples given for different types of model code.  All aspects of writing, 
running, assessing and interpreting these models will be extensively 
discussed so that participants are able and confident to run similar models 
on their own. There will be a particularly heavy focus on practical 
sessions during this day.  The day will finish with a discussion of how to 
assess the fit of mcmc models using the deviance information criterion 
(dic) and other methods. Using JAGS for common problems in biology. 
Understanding and generating code for basic generalised linear mixed models 
in JAGS. Syntax for quadratic terms and interaction terms in JAGS.
Essential fitting tips and model selection. The need for minimal cross-
correlation and independence between parameters and how to design a model 
with these properties. The practical methods and implications of minimizing 
Monte Carlo error and autocorrelation, including thinning. Interpreting the 
DIC for nested models, and understanding the limitations of how this is 
calculated. Other methods of model selection and where these might be more 
useful than DIC. Most commonly used methods Rationale and use for fixed 
threshold, ABGD, K/theta, PTP, GMYC with computer practicals. Other 
methods, 

[ECOLOG-L] Survey - Ecological data collection by students

[Julian Olden]

Dear EcoLog subscriber,

We are seeking information from instructors at institutions of
higher-education who are currently leading, or are interested in leading,
efforts to collect ecological data through class-based activities. This
survey takes approximately 15 - 20 minutes to complete, and will contribute
to a global review on the extent and types of ecological data collected by
students, and provide insight into the opportunities and challenges
associated with these class-based efforts to support desired educational and
scientific outcomes. We ask that you complete this survey and/or forward
this survey to colleagues. 

The survey can be found at the HEED Survey link:
http://washington.co1.qualtrics.com/jfe/form/SV_9pnee1codxAuBrn. We ask that
you complete the survey by May 17, 2018. All responses are anonymous.

Background
Many classes (courses, units, modules, etc,) in institutions of
higher-education (including universities and colleges) have field excursions
where instructors guide students in the collection of ecological and
environmental data. Although data collection during class field excursions
are undoubtedly occurring, there is little understanding of the geographic
extent and characteristics of these efforts, and the institutional and
logistic challenges and opportunities that instructors have when
maintaining, or considering new, class field excursions.

In order to address this issue, we are seeking the opinion of instructors
from institutions of higher-education. Please click here to complete the
survey. Also, we ask that you forward this e-mail to any colleagues or
organizations to reach other instructors who are currently, or might be
interested in, leading class-based efforts to collect ecological data. If
you have any questions or concerns, please feel free to contact the Olden
Research Lab (olden...@uw.edu). Thank you very much for your time!

Sincerely,

Higher Education Ecological Data (HEED) Survey Team (olden...@uw.edu)

Julian Olden and the Freshwater Ecology and Conservation Lab @ University of
Washington, Seattle, Washington, United States

https://depts.washington.edu/oldenlab/

[ECOLOG-L] Introduction to Linux workflows for biologists (IBUL03)

[Oliver Hooker]

Introduction to Linux workflows for biologists (IBUL03)

https://www.prinformatics.com/course/introduction-to-linux-workflows-for-
biologists-ibul03/

This course will run from October 1st -5th October 2018 in Glasgow city 
centre and will be delivered by Dr Martin Jones.

Course Overview:
Most high-throughput bioinformatics work these days takes place on the 
Linux command line. The programs which do the majority of the computational 
heavy lifting — genome assemblers, read mappers, and annotation tools — are 
designed to work best when used with a command-line interface. Because the 
command line can be an intimidating environment, many biologists learn the 
bare minimum needed to get their analysis tools working. This means that 
they miss out on the power of Linux to customize their environment and 
automate many parts of the bioinformatics workflow. This course will 
introduce the Linux command line environment from scratch and teach 
students how to make the most of its tools to achieve a high level of 
productivity when working with biological data.

Monday 1st
Module 1: The design of Linux.
In the first session we briefly cover the design of Linux: how is it 
different from Windows/OSX and how is it best used? We’ll then jump 
straight onto the command line and learn about the layout of the Linux file 
system and how to navigate it. We’ll describe Linux’s file permission 
system (which often trips up beginners), how paths work, and how we 
actually run programs on the command line. We’ll learn a few tricks for 
using the command line more efficiently, and how to deal with programs that 
are misbehaving. We’ll finish this session by looking at the built in help 
system and how to read and interpret manual pages.

Module 2: System management.
We’ll first look at a few command line tools for monitoring the status of 
the system and keeping track of what’s happening to processor power, 
memory, and disk space. We’ll go over the process of installing new 
software from the built in repositories (which is easy) and from source 
code downloads (which is trickier). We’ll also introduce some tools for 
benchmarking software (measuring the time/memory requirements of processing 
large datasets).

Tuesday 2nd
Module 3: Manipulating tabular data.
Many data types we want to work with in bioinformatics are stored as 
tabular plain text files, and here we learn all about manipulating tabular 
data on the command line. We’ll start with simple things like extracting 
columns, filtering and sorting, searching for text before moving on to more 
complex tasks like searching for duplicated values, summarizing large 
files, and combining simple tools into long commands.

Module 4: Constructing pipelines.
In this session we will look at the various tools Linux has for 
constructing pipelines out of individual commands. Aliases, shell 
redirection, pipes, and shell scripting will all be introduced here. We’ll 
also look at a couple of specific tools to help with running tools on 
multiple processors, and for monitoring the progress of long running tasks.
Wednesday 3rd – Classes from 09:00 to 17:00

Module 5: EMBOSS.
EMBOSS is a suite of bioinformatics command-line tools explicitly designed 
to work in the Linux paradigm. We’ll get an overview of the different 
sequence data formats that we might expect to work with, and put what we 
learned about shell scripting to biological use by building a pipeline to 
compare codon usage across two collections of DNA sequences.

Module 6: – Using a Linux server.
Often in bioinformatics we’ll be working on a Linux server rather than our 
own computer— typically because we need access to more computing power, or 
to specialized tools and datasets. In this session we’ll learn how to 
connect to a Linux server and how to manage sessions. We’ll also consider 
the various ways of moving data to and from a server from your own 
computer, and finish with a discussion of the considerations we have to 
make when working on a shared computer.

Thursday 4th
Module 7: Combining methods.
In the next two sessions — i.e. one full day — we’ll put everything we have 
learned together and implement a workflow for next-gen sequence analysis. 
In this first session we’ll carry out quality control on some paired-end 
Illumina data and map these reads to a reference genome. We’ll then look at 
various approaches to automating this pipeline, allowing us to quickly do 
the same for a second dataset.

Module 8: Combining methods.
The second part of the next-gen workflow is to call variants to identify 
SNPs between our two samples and the reference genome. We’ll look at the 
VCF file format and figure out how to filter SNPs for read coverage and 
quality. By counting the number of SNPs between each sample and the 
reference we will try to figure out something about the biology of the two 
samples. We’ll attempt to automate this analysis in various ways so that we 
could easily repeat the pipeline for 

[ECOLOG-L] Opening: Research assistant in tidal wetland ecology at GW

[Keryn Gedan]

I am searching for a full time research assistant to join my lab in summer
2018 to assist in the set-up, maintenance, and break down of wetland plant
ecology field and greenhouse experiments and vegetation monitoring
campaigns. The research assistant will help in other stages of research:
developing protocols, managing data, and processing plant and soil samples
in the laboratory. The research assistant will prepare and run carbon and
nitrogen analyses of plant tissue samples in the lab. 


Requirements: Fieldwork can be physically taxing. Applicants must be able to
hike to field sites, spend hours in hot and buggy conditions, and lift up to
50 lbs. Applicants must have an undergraduate degree in ecology or a related
science. Plant research experience is preferred, although training will be
provided in plant identification and ecological and analytical methods.
Please describe relevant experience in your cover letter. Funding is
available for 1 year with a competitive salary and benefits package. To
apply to this opportunity, please submit an application prior to April 30: 
http://www.gwu.jobs/postings/50556


The Gedan lab at The George Washington University investigates the response
of coastal and marine species and ecosystems to global changes in climate,
sea level, nutrient availability, and invasive species. We focus on
conservation-priority, shallow, marine ecosystems, especially tidal marsh. 
We are interested in marsh migration and the conversion of natural and
human-dominated uplands, as well as the novel ecosystems and interactions
occurring in transitioning coastal areas. Our team primarily relies upon an
experimental approach in the greenhouse and the field. Established field
sites are in the estuaries and coastal bays of the Mid-Atlantic. The lab is
located in a newly constructed interdisciplinary science building in
downtown Washington, DC, across the street from the Foggy Bottom Metro station. 

 
The university is an Equal Employment Opportunity/Affirmative Action
employer that does not unlawfully discriminate in any of its programs or
activities on the basis of race, color, religion, sex, national origin, age,
disability, veteran status, sexual orientation, gender identity or
expression, or on any other basis prohibited by applicable law.

[ECOLOG-L] Post-doctoral position in microbial agroecology at the University of Wisconsin-Madison

[Richard Lankau]

The Lankau, Silva, and Ruark research groups at the University of 
Wisconsin-Madison are searching for a post-doctoral scholar to join our 
collaborative project investigating changes in soil microbial community 
composition and function over time under organic management. The project 
will focus on organic grain production in Wisconsin, and seeks to 
integrate changes in farm management, cycling of carbon and nitrogen, 
microbial community composition, and plant health using on-farm sampling, 
experiments in controlled conditions, and molecular characterization of 
microbial communities. We envision the post-doctoral scholar taking a lead 
role in the evaluation of microbial community composition and in the 
quantitative synthesis of the microbial data with parallel datasets of 
farming practices, soil biogeochemical cycling, and plant health.

Applicants should have a PhD in ecology, microbiology, soil science, 
agronomy, or related fields, excellent written and oral communication 
skills, quantitative and analytical skills, and a track record of first-
author publication in peer-reviewed journals.

Experience with some combination of the following skills is preferred but 
not required:
-   Molecular characterization of microbial communities
-   Measurements of soil carbon and nitrogen fluxes and pools
-   Statistical analyses of multivariate data
-   Field and greenhouse experimentation with plants

Funding is available for one year with extension for a second year 
depending on satisfactory performance. Salary is set at $47,400/year and 
includes health and other benefits.  Start date is flexible but with a 
preference for candidates that can begin by July 1.

To apply, please send a CV, statement of interest in the position, and 
contact information for three references to lan...@wisc.edu.  We will 
begin evaluating applications on May 1, but applications will be accepted 
until the position is filled. Please contact Richard Lankau 
(lan...@wisc.edu) with any questions.

For information about our research groups, go to:
Lankau Lab: http://labs.russell.wisc.edu/lankau
Silva Lab: www.uworganic.edu
Ruark Lab: http://ruarklab.soils.wisc.edu

[ECOLOG-L] Tracknig tag and collar survey

[Paul Glover-Kapfer]

Dear All, 

As part of WWF's Conservation Technology works we are surveying users of
tracking tags and collars, with the purpose of assessing common barriers and
bespoke solutions, identifying prioirities for tag and collar improvements,
and rating tag and collar manufacturers. 

Please help us collate and share this information by taking this survey:
https://www.surveymonkey.de/r/Constrack. We've already 150+ responses but
need your help ensuring our results are comprehensive.

Thanks much for your time. Please contact me if you have any questions.

[ECOLOG-L] Research Fellow in Wetland Exploitation (part-time, fixed term), University of Sussex, UK

[Jorn Scharlemann]

Research Fellow in Wetland Exploitation (part-time, fixed term), University of 
Sussex, UK

School/department: School of Life Sciences
Hours: Part-time 0.4 FTE
Contract: Fixed term from 01 May 2018 to 31 October 2018
Reference: 3110
Salary: Starting at £32,548 and rising to £38,833 per annum, pro rata
Placed on: 10 April 2018
Closing date: 23 April 2018. Applications must be received by midnight of the 
closing date.
Expected start date: 01 May 2018 or shortly thereafter

Project: Wet-Ex: Modelling human exploitation of freshwater wetland wildlife.

The global importance of wetlands has been recognised by the Ramsar convention 
in 1971. One of its aims is to ensure the “wise use” of all wetlands. 
Surprisingly, the quantification of human use or exploitation of freshwater 
wild species from wetlands has not been attempted at an international scale.

We wish to appoint a post-doctoral researcher to work with Prof Jörn 
Scharlemann at the University of Sussex 
http://www.sussex.ac.uk/lifesci/scharlemannlab/ and Prof Christopher Joyce at 
the University of Brighton 
https://www.brighton.ac.uk/staff/christopher-joyce.aspx to collate data and 
model patterns and changes in freshwater biomass exploitation.

Using data and models, we aim to answer research questions of global 
significance that have profound policy and management implications, namely how 
important are freshwater wild species to humans and is human exploitation 
pushing freshwater species towards extinctions?

You will need to be confident working with databases, be meticulous and well 
organised, able to communicate with researchers and policy makers, able to work 
on your own initiative and within teams. Ideally you will have knowledge of 
wetlands and data analysis.

The School of Life Sciences is at the forefront of research in the biological 
sciences in the UK, coming in the top 10 in the REF 2014.

The School is committed to equality and valuing diversity, and currently holds 
an Athena SWAN Silver Award. Applications are particularly welcomed from women 
and black and minority ethnic candidates, who are under-represented in academic 
posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at 
Sussex. The School of Life Sciences welcomes applications to academic posts 
from candidates who wish to work part-time or as job-sharers.

The University offers various schemes to provide real benefits to parents, 
these can be found at Family Friendly 
Policies

The School of Life Sciences at the University of Sussex is collaborating with 
the School of Environment and Technology (SET) at the University of Brighton 
during this project.  SET hosts the internationally-renowned Centre for Aquatic 
Environments, an inter-disciplinary research centre providing scientific 
evidence and people-focused solutions to optimise the responsible management of 
water resources and aquatic ecosystems.

For further information or to discuss the role please contact Prof Christopher 
Joyce, email: c.b.jo...@brighton.ac.uk, or 
Prof Jörn Scharlemann, email: 
j.scharlem...@sussex.ac.uk
Applicants need to be eligible to work in the UK/EU.

Further details 
http://www.sussex.ac.uk/about/jobs/research-fellow-in-wetland-exploitation-3110

[ECOLOG-L] Seeking adult or larvae of barberry geometer, Coryphista meadii, in Mid-Atlantic region

[Ryan Utz]

Hello,

I'm hoping to start a small research project on a particular species of 
geometrid moth, Coryphista meadii. Any life stage- adult, larvae, or pupae, 
would be of interest. My hope is to selectively breed them over the coming 
growing season. We're located in Pittsburgh, PA, so the closer to there, the 
better. 

If you know you have this in your neighborhood, please let me know. Thanks!

Ryan Utz
Chatham University

[ECOLOG-L] JOB OPPORTUNITY Tucson, AZ: Botanist

[David Cerasale]

WestLand Resources Inc. is actively seeking an experienced botanist.

Required qualifications:
•   A Bachelor's degree in a Biological Field-Oriented Program
•   Demonstrated technical writing capabilities
•   Demonstrated plant identification skills with Southwest flora
•   Ability to work in a fast-paced and creative environment
•   Field experience in the southwest strongly preferred
•   Advanced degree in a Biological Field Oriented Program preferred

Key Functions:

•   Conduct Field Survey and Investigations
•   Team/field crew management and training
•   Development of Biological Permitting/Compliance Documents
•   Maintain current knowledge of relevant field and regulations
•   Task Management
•   Departmental Support
•   Additional related duties

To apply on line directly, go to 
https://westlandresources.applicantpro.com/jobs/771807-86485.html. Or, you ca
can also apply by visiting our website at www.WestLandresources.com. 

At WestLand, our purpose is to sustain a friendly, inspired company, where 
dedicated people work together to create exceptional outcomes. We pride 
ourselves on providing a work environment that is relaxed and 
collaborative, while supporting the highest standards for project delivery 
and work product quality.  Our team approach to both project and staff 
development naturally fosters a tight-knit environment of uniquely skilled an
and experienced professionals, learning from and helping one another.

Westland is committed to creating a diverse environment and is proud to be 
an Equal Opportunity Employer. We invite applications from all interested 
parties including women, minorities, veterans and persons with 
disabilities.  We maintain a drug-free workplace and perform pre-employment su
substance abuse testing.

To learn more about WestLand Resources, please visit our website at w
www.WestLandresources.com 

[ECOLOG-L] Jobs: 2 TT Faculty at Southern Arkansas University

[Kate Sheehan]

Please note, the dates on the HR website are opposite from those listed
here. Review of applicants for the physiologist position will begin April
15 and review for the microbiologist position will begin April 30.

Southern Arkansas University is accepting applications for an anticipated
9-month tenure track Assistant Professor of Biology position (Anatomy and
Physiology) in the College of Science and Engineering for Fall of 2018.
Our rapidly growing biology department is located in a new 64,000 square
foot science building. Southern Arkansas University offers competitive
salaries commensurate with experience, as well as, an excellent fringe
benefit package.
Duties: Teach an average of 12 hours per semester in upper and lower
division biology courses (A I & II, Vertebrate Physiology, and freshman
biology courses) and associated laboratories; other assignments may include
teaching upper-level electives in the applicant’s area of expertise;
oversee the Anatomy and Physiology courses; supervise undergraduate
research projects; serve on committees; perform scholarly activity; engage
in recruitment, retention, and advising of students and perform other
duties as assigned.
Qualifications: Qualifications: Doctoral degree in biology or related field
is required by time of employment; have expertise in anatomy and
physiology; demonstrate an ability to teach undergraduate students;
excellent communication skills, ability to work well with people, and a
strong desire to interact with students in both classroom and undergraduate
research All SAU faculty and staff demonstrate a commitment to inclusion
and diversity of the University community and excellence in interpersonal
behaviors and effective collaboration with colleagues. Joining the SAU
family requires a commitment to our culture of Continuous Quality
Improvement.
Applicants should send a letter of application, current curriculum vita,
statement of teaching philosophy, complete set of unofficial graduate and
undergraduate transcripts and contact information for three(3) references
to h...@saumag.edu or to the Office of Human Resources, 100 E. University,
MSC 9288, Magnolia, AR 71753. AA/EOE. Best consideration date is April 15,
2018. Non-listed references may be contacted. Review of applications will
begin immediately and continue until position is filled.

Southern Arkansas University’s College of Science and Engineering invites
applicants for a 9-month, tenure-track position of Assistant Professor of
Biology (Microbiology).
Our rapidly growing biology department is located in a new 64,000 square
foot science building. Southern Arkansas University offers competitive
salaries commensurate with experience, as well as an excellent fringe
benefit package.
Duties: Teach an average of 12 hours per semester of upper and lower
division courses in microbiology and associated laboratories; teach
introductory biology courses and associated laboratories; teach upper-level
electives in the applicant’s area of expertise; supervise undergraduate
research projects; serve on committees; perform scholarly activity; engage
in recruitment, retention, advise students and other duties as assigned.
Qualifications: Ph.D. in Biology or related field required by time of
employment; teaching experience preferred; have expertise in microbiology;
demonstrate an ability to teach undergraduate students; excellent
communication skills; ability to work well with people; desire to interact
with students both in the classroom and undergraduate research projects.
All SAU faculty and staff demonstrate a commitment to inclusion and
diversity of the University community and excellence in interpersonal
behaviors and effective collaboration with colleagues. Joining the SAU
family requires a commitment to our culture of Continuous Quality
Improvement.
Applicants should send a letter of application, curriculum vitae, statement
of teaching philosophy, complete set of undergraduate and graduate
transcripts, and the contact information of three (3) references to
h...@saumag.edu or the Office of Human Resources, Southern Arkansas
University, 100 E. University, MSC 9288, Magnolia, AR 71753. Best
consideration date is April 30, 2018. AA/EOE. Non-listed references may be
contacted.

To access the job descriptions visit https://web.saumag.edu/
human-resources/category/employment-opportunities/faculty-positions/

Sincerely,
Kate Lyn Sheehan, Ph.D.
Assistant Professor of Biology
Southern Arkansas University