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Postdoctoral Research Associate I

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Job Details
Job Order Number
3576710
Company Name
University of Arizona/Human Resources Division
Job Site Location
888 NORTH EUCLID AVENUE # 220
Tucson, AZ 85719
Job Description

Position Information Title
Postdoctoral Research Associate I

Department
Ecology & Evolutionary Biology (0420)

Location
Main Campus

Position Summary

A Two-Year Post-Doctoral Research Associate Position in Eco-Evolutionary Modeling and Statistical Inference at the University of Arizona (Tucson, AZ, USA).
A post-doctoral fellowship is available to work on an NSF Dimensions of Biodiversity-funded project to develop statistical inference tools for eco-evolutionary dynamics, and apply these tools to analyze the eco-evolutionary drivers of toxic algal blooms. The general aim of the project is to bridge eco-evolutionary theory and empirical data-ecological, genomic and phylogenetic. The specific aim is to construct and analyze mathematical eco-evolutionary models for bloom dynamics of the toxic haptophyte alga Prymnesium parvum in Eastern U.S. lakes, and test alternate hypotheses about eco-evolutionary feedbacks via statistical inference and model selection in a Bayesian framework using ecological time series and massive genomic and transcriptomic data generated by the project co-investigators.
The position is based in the Department of Ecology and Evolutionary Biology at the University of Arizona, and associated with the Ecosystem Genomics Initiative-a nexus for coalescing University of Arizona strengths in environmental science, ecology, genome-enabled science, and bio-computational research to address the grand challenge of scaling biology from genes to ecosystems. The university of Arizona-based, NSF-supported cyberinfrastructure CyVerse will provide exceptional computational means and support. The position also involves opportunities for traveling to collaborators institutions, nationally (Purdue and Penn State) and internationally (Paris, France), and attending major international conferences (e.g. Ecological Society of America annual meeting).
The position is for two years with a reappointment at the end of the first year based on satisfactory performance. Review of applications will begin immediately and continue until the position is filled.

Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!

The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please .

Duties & Responsibilities

The post-doc will work under the supervision of Dr. Regis Ferriere (Department of Ecology and Evolutionary Biology, University of Arizona) to (1) develop general methods for inferring eco-evolutionary feedbacks using eco-evolutionary dynamics models and statistical methods such as particle MCMC and Approximate Bayesian Computation, (2) develop eco-evolutionary models specifically targetting the empirical system (P. parvum toxic blooms), (3) apply the newly developed statistical inference tools using ecological time series, ’omics data and phylogenies from natural lakes and laboratory mesocosm experiments. The work will be done in close collaboration with Principal Investigator Dr. Jennifer Wisecaver (Purdue University) and Collaborator Dr. William Driscoll (Penn State University at Harrisburg).

Knowledge, Skills, & Abilities

Minimum Qualifications

Applicants should have a PhD in Biological sciences, Statistics, Applied Mathematics, or a related quantitative field.

Preferred Qualifications

The successful candidate will have a background and/or strong interest in computational ecology, statistical inference, data assimilation and modeling in a Bayesian framework, dynamical system modeling, and/or computer science (e.g., writing MCMC samplers). Experience working with large ecological and/or genomic datasets or databases, strong writing skills and associated publications in peer-reviewed literature, communication skills, and mentoring and collaboration skills are also strongly valued.

FLSA
Exempt

Full Time/Part Time
Full Time

Number of Hours Worked per Week
40

Job Category
Postdoctoral Research

Benefits Eligible
Yes – Full Benefits

Posted Rate of Pay
$47,659

Type of criminal background check required:
Name-based criminal background check (non-security sensitive)

Posting Detail Information Posting Number
P20818

Number of Vacancies
One

Desired Start Date
08/01/2019

Position End Date (if temporary)

Limited to Current UA Employees
No

Contact Information for Candidates

hildaq@email.arizona.edu

Open Date
05/22/2019

Close Date

Open Until Filled
Yes

Review Begins On
06/03/2019

Special Instructions to Applicant

Diversity Statement

At the University of Arizona, we value our inclusive climate because we know that diversity in experiences and perspectives is vital to advancing innovation, critical thinking, solving complex problems, and creating an inclusive academic community. As an Hispanic-serving institution, we translate these values into action by seeking individuals who have experience and expertise working with diverse students, colleagues, and constituencies. Because we seek a workforce with a wide range of perspectives and experiences, we provide equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or genetic information. As an Employer of National Service, we also welcome alumni of AmeriCorps, Peace Corps, and other national service programs and others who will help us advance our Inclusive Excellence initiative aimed at creating a university that values student, staff and faculty engagement in addressing issues of diversity and inclusiveness.

Quick Link for Internal Postings

The University of Arizona is a committed Equal Opportunity/Affirmative Action Institution. Women, minorities, veterans and individuals with disabilities are encouraged to apply.


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