Postdoctoral Associate

Position Function:

The Wisnoski Lab (www.nathanwisnoski.com) is hiring a postdoctoral researcher to investigate the ecology of microbial communities in coastal ecosystems, with a focus on community assembly and spatiotemporal dynamics. The position is supported by a grant from the Mississippi-Based RESTORE Act Center of Excellence (MBRACE; https://mbrace.usm.edu/), funded by the U.S. Department of Treasury. The postdoc will be based in the Department of Biological Sciences at Mississippi State University in Starkville, MS.

The postdoc will address research questions related to their interests, broadly centered on (1) the ecological mechanisms that regulate the assembly, structure, dynamics, and functioning of bacterial communities at the land-ocean interface; (2) terrestrial and aquatic sources of bacterial inputs to coastal communities; and/or (3) relationships between bacterial communities and organic matter quality/quantity. Competitive candidates will have interests or previous experience in microbial field sampling, sample processing in the lab, bioinformatics, and ecological analysis/inference. Applicants with interests in metacommunity ecology are especially welcome.

Salary Grade:  UC

For salary grade UC, these positions are "Unclassified" and salary ranges are determined by the hiring department.

Department Profile:

www.biology.msstate.edu

Area of Specialization:

Ecology

Anticipated Appointment Date:

September 1, 2023

Tenure Track Status:

N/A

Essential Duties and Responsibilities:

• Lead data collection/generation in coordination with other research teams to facilitate cross-project collaboration
• Analyze multi-omics data with robust bioinformatics and statistical analyses
• Communicate results through peer-reviewed publications and conference presentations

Minimum Qualifications:

• Strong writing skills and an enthusiasm for microbial and/or community ecology
• Highly motivated with the ability to work independently and contribute to a collaborative environment
• Ph.D. in ecology or a related field by start date

Preferred Qualifications:

• Quantitative and computing skills, including bioinformatics and statistics tools (knowledge of R, python, Julia, or another language)
• Experience conducting microbial field sampling campaigns (not necessarily in coastal systems)
• Familiarity with laboratory procedures and basic protocols for processing samples (e.g., extracting DNA and generating datasets for -omics analyses)
• Interests in or experience with mentoring graduate and undergraduate students in laboratory, field, and/or computational research

Instructions for Applying:

Please upload a cover letter, CV, PDFs of 1-3 recent first-authored publications or preprints, and names and contact information for 3-5 professional references to the following link.

For full consideration, apply by August 18, 2023. If the position remains unfilled after this date, applications will be reviewed as they are received until the position is filled.

If you have questions about the position, please email Nathan Wisnoski (nathan.wisnoski@msstate.edu).

Restricted Clause:

Position is contingent upon continued availability of funding.

Equal Employment Opportunity Statement:

MSU is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, religion, national origin, disability, age, sexual orientation, genetic information, pregnancy, gender identity, status as a U.S. veteran, and/or any other status protected by applicable law. We always welcome nominations and applications from women, members of any minority group, and others who share our passion for building a diverse community that reflects the diversity in our student population.

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If you have any questions regarding this policy, contact the Department of Human Resources Management at (662) 325-3713 or ada@hrm.msstate.edu. Upon request, sections of this job listing are available in large print, and readers are available to assist the visually impaired.