Post Doctoral Research Associate- Ecology & Evolutionary Biology: UTK at University of Tennessee System in Knoxville, TN

Job description

The successful candidate will develop and apply molecular and computational methods to identify the biological sources of DNA recovered from diverse sample types. The research will include the development of approaches to characterize DNA from complex, degraded, and potentially mixed-source samples. Sample types will include, but are not limited to, sedimentary (sedaDNA) and other ancient DNA recovered from archaeological contexts. The research forms part of interdisciplinary projects that combine genomic analyses with perspectives from biocultural anthropology, species ecology, and related fields. The successful candidate will help integrate these approaches to investigate past and present relationships between people, other organisms, and their environments. The candidate will undertake laboratory work in both a state-of-the-art ancient DNA facility and a contemporary DNA laboratory. The position offers opportunities to develop and apply molecular methods, conduct bioinformatic analyses, and contribute to interdisciplinary research using ancient and contemporary DNA. The anticipated start date is January 19, 2027 , or as soon as possible thereafter. Funding is available for two years , contingent upon satisfactory performance and the continued availability of funding. The initial appointment will be for one year and will serve as a probationary period, with continuation subject to a successful performance review. During this time, there will also be opportunities to pursue additional grant funding to support continued appointment. The fellow will be expected to drive projects toward publication, contribute to grant development, and actively engage with the broader EEB community. Develop molecular and bioinformatic methods for identifying biological sources of DNA in diverse sample types. Process and analyze ancient and contemporary metagenomic samples Contribute to establishing the contemporary DNA laboratory and developing molecular workflows. Order and oversee lab equipment and reagents for lab spaces. Mentoring graduate and undergraduate students. Contribute to manuscript preparation, conference presentations, and other research outputs. Contribute to grant applications and the development of future research projects. Required Qualifications: Education: PhD in Evolutionary Biology or a closely related field. Experience: Experience conducting genomic research and large-data analysis. Strong background in genomics and bioinformatics. Experience designing experiments and collecting quantitative biological data Experience using Bash/Unix/Python for large-data processing Evidence of scientific productivity through peer-reviewed publications appropriate to career stage Excellent written and oral communication skills Interest in mentoring students and contributing to a collaborative laboratory environment Knowledge, Skills, Abilities: Demonstrated ability to work independently and collaboratively, communicate scientific findings effectively, manage research projects, and contribute to a positive laboratory environment. Applicants must be legally authorized to work in the United States on a full-time basis without need now or in the future for sponsorship for employment-based visa status. Preferred Qualifications: Experience working with metagenomic datasets and software Wet-lab experience conducting ancient and contemporary DNA analysis Familiarity with advanced molecular methodology, e.g., building single-stranded and double-stranded genomic libraries Experience working with/in High-Performance Computing Systems Experience managing independent research projects from conception to publication Interest in developing independent research questions related to animal decision making, cognition, and behavioral ecology Work Location: Location: Knoxville, TN Onsite Compensation and Benefits: Anticipated hiring range: $57,000-60,000 Find more information on the UT Market Range structure here Find more information on UT Benefits here App