Mathematical Ecology Jobs (NOW HIRING)

Required Qualifications: (as evidenced by an attached resume)
Doctoral Degree (or foreign equivalent) in Computational Biology, Biology, Ecology and;
Evolution, Computer Science, Mathematics, or Physics, or closely related field degree in hand by the start of the position. For those with degrees that are not explicitly computational (e.g., Biology), a record of coursework and research in quantitative areas must be shown. For those with degrees not explicitly related to biology (e.g., Mathematics), a record of coursework and research concerning biological questions must be shown.

Preferred Qualifications:

     Experience analyzing genomic and/or metagenomic data using computational
methods.

     Experience developing new approaches for the analysis of biological data
beyond the application of established pipelines OR experience developing
mathematical or statistical models of biological systems.

     A record of publishing computational biology (broadly defined), bioinformatics, or
theoretical ecology (modeling) research in peer-reviewed scientific journals

     Experience in programming in R, Python, or a similar programming language.

     A demonstrated commitment to open-science, to team-science, and to fostering
an inclusive and equitable research environment.

     Experience working in microbial systems, specifically to answer questions in
microbial ecology and evolution.

     Experience with population genetics.

     Experience developing R packages.

     Experience applying or developing machine learning tools.

     Strong scientific writing skills.

Brief Description of Duties: 
The Postdoctoral Associate will assist the Principal Investigator in the Institute for Advanced Computational Science and the department of Ecology and Evolution. Please visit The Microbial Genomes And Metagenomes to Unravel Traits (mGAMUT) Lab to learn more about our department/research. The incumbent will conduct research and ensure that all analyses and experiments are appropriately conducted following the policies and procedures of Stony Brook University.

     Within the predetermined research scope and methodology, conduct
research experiments in the field of computational microbial ecology and
evolution.

     Collect and analyze data, including periodical/literature search and utilizing
specialized skills in related field to analyze the collected data.

     Participate/assist in manuscript writing for publication in scientific journals
and/or presentations. May also assist in grant writing.

     Other duties as assigned, which may include attending Scientific
Conferences and Meetings.

Special Notes:
The Research Foundation of SUNY is a private educational corporation. Employment is subject to the Research Foundation policies and procedures, sponsor guidelines and the availability of funding. FLSA Exempt position, not eligible for the overtime provisions of the FLSA. Minimum salary threshold must be met to maintain FLSA exemption.

Visit The Office of Postdoctoral Affairs to learn more about our postdoctoral community.

Resume/CV and cover letter should be included with the online application.

Stony Brook University is committed to excellence in diversity and the creation of an inclusive learning, and working environment. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, familial status, sexual orientation, gender identity or expression, age, disability, genetic information, veteran status and all other protected classes under federal or state laws.

If you need a disability-related accommodation, please call the university Office of Equity and Access (OEA) at (631) 632-6280 or visit OEA.

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The starting salary range (or hiring range) to be offered for this position is noted below, it represents SBU's good faith and reasonable estimate of the range of possible compensation at the time of posting.