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The Biological Sciences Department at Rensselaer has 22 faculty members, 45 graduate students, and over 350 undergraduate majors. Biological Sciences is home to several NSF CAREER and NIH MERIT or MIRA award winners, 6 Society Fellows, and 2 NIH T32 training grants, with annual research expenditures totaling around $7 million per year.
The department also provides a collaborative and supportive mentoring environment to foster the success of its faculty, with the Institute providing additional opportunities for professional development to assist faculty in meeting their teaching, research, and career aspirations.
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Job Summary
The Department of Biological Sciences at Rensselaer Polytechnic Institute in Troy, NY invites applications for a tenure-track faculty position at the rank of Assistant Professor in Computational Ecology. We seek a passionate and innovative individual who uses sophisticated computational methods and/or mathematical modeling applied to large and complex datasets to understand and/or forecast biological and ecological phenomena across time and space. The ideal candidate will have demonstrated potential to establish a strong externally funded research program, primarily in computational ecology but with potential for a laboratory component, and contribute to the teaching mission of the department.
Qualifications
All candidates must hold a Ph.D. degree, or foreign degree equivalent in ecology and/or biology or a closely related field. Postdoctoral experience is strongly preferred. Candidates for the rank of Assistant Professor must exhibit promise of future distinction in research, scholarship, and teaching. Specifically, candidates who have the demonstrated potential to establish a strong externally funded research program, primarily in computational ecology but with potential for a laboratory component are desired.
All exceptional candidates will be considered, and we especially encourage applications from individuals who will bring computational research approaches and skill sets to address fundamental problems in ecology. A candidate who complements existing strengths at Rensselaer and who can leverage existing platforms such as the Darrin Freshwater Institute, the Jefferson Project at Lake George, and the Rensselaer Future of Computing Institute (FOCI) is desired.
We seek candidates who are experienced in the use of sophisticated computational methods and/or mathematical modeling applied to large and complex datasets to understand and/or forecast biological and ecological phenomena across time and space. and contribute to the teaching mission of the department.
Applicants must meet stated minimum education and experience requirements.
Starting Salary/Rate
Expected hiring range: $95,000 - $108,000
Pay transparency disclosure: The selected candidate’s salary will be determined based on factors that include the available budget, internal equity, and the final candidate’s qualifications, experience, education and other job-related credentials. This hiring range is provided as Rensselaer’s good faith estimate of the expected hiring range at the time of posting.
Application instructions
Follow the on-screen prompts to create a brief online profile with contact information for 3 professional references. Please be ready to upload the following:
If you need assistance with the online application process, please contact careers@rpi.edu.
Job Posted DateApplications will be accepted until the position is filled. Applications received by April 1, 2025 will receive first consideration.
Total Compensation and Benefits Information
Rensselaer’s Total Compensation Program is designed to provide stable pay growth, a comprehensive and affordable benefits package, and a comprehensive and affordable retiree medical and prescription plan. Our goal is to provide you and your family with a comprehensive health and welfare program as an umbrella of financial security and protection during your employment. For more information, please visit Benefits | Human Resources (rpi.edu).
Rensselaer is committed to the cultivation of a community that is welcoming, inclusive, and above all values learning. We welcome candidates who bring a variety of perspectives to Rensselaer’s work and campus communities. Rensselaer Polytechnic Institute is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, protected veteran status, or other characteristic protected by law.