Job Description:

This NSF DISES funded postdoctoral fellow will conduct genomic research on beaver, mink and muskrat as part of an interdisciplinary project on the North American fur trade. The project deploys a diverse methodological toolkit including ancient DNA, stable isotope analysis, zooarchaeology, morphometrics to explore how different cultural practices shaped species and ecological outcomes and how those environmental changes shaped future decisions, practices, and social dynamics.

The goal of this position is to cross-train an individual with a traditional genomics/ bioinformatics background in ancient DNA, community engagement, and historical ecology. This postdoc will be directly supervised by Courtney Hofman at the University of Oklahoma, and with additional mentoring by Alexis Mychajliw (Middlebury College) and Torben Rick (Smithsonian National Museum of Natural History), facilitating exposure to multiple research environments including archaeological field work and museum collections, while building on the postdoc’s existing strengths.

Duties:

• Collaborate with PIs and project technicians on study design and data generation.


• Work closely with the PIs and project stakeholders on collaborative activities with tribal communities and resource managers.


• Conduct bioinformatic analyses on ancient and modern furbearer genomes.


• Write manuscripts in support of the project.


• Mentor undergraduate and visiting students.


• Contribute to the LMAMR community through participation in LMAMR meetings and activities.


• Co-write grants for additional funding and support.


• Participate in science communication endeavors.


• Develop strategies for integrating interdisciplinary datasets (isotopes, DNA, morphometrics, etc.)


• Travel for project meetings/sample collection as needed

***Interested candidates should forward their CV and cover letter to Courtney Hofman, courtney.hofman@ou.edu***

Required Education: PhD in Life Sciences (preferably genomics, evolutionary biology and/or conservation biology)

 

Skills:

• 
  Strong background in population genetics and bioinformatics
  
  


• Experience analyzing whole genome datasets


• Experience with ancient DNA or degraded DNA (not required but useful)

Certifications:

• 
  None
  
  

Advertised Physical Requirements:

• None

Department Preferences:

• Ideal postdoc will be interested in strengthening their skills in informatics, student mentorship, and diversity, equity and inclusion practices. 

Special Instructions: If you are selected as a final candidate for this position, you will be subject to The University of Oklahoma Norman Campus Tuberculosis Testing policy.  To view the policy, visit https://hr.ou.edu/Policies-Handbooks/TB-Testing.

Why You Belong at the University of Oklahoma: The University of Oklahoma fosters an inclusive culture of respect and civility, belonging, and access, which are essential to our collective pursuit of excellence and our determination to change lives. The unique talents, perspectives, and experiences of our community enrich the learning, and working environment at OU, inspiring us to harness our innovation, creativity, and collaboration for the advancement of people everywhere.

Equal Employment Opportunity Statement: The University of Oklahoma, in compliance with all applicable federal and state laws and regulations, does not discriminate based on race, color, national origin, sex, sexual orientation, genetic information, gender identity, gender expression, age, religion, disability, political beliefs, or status as a veteran in any of its policies, practices, or procedures. This includes, but is not limited to, admissions, employment, financial aid, housing, services in educational programs or activities, and health care services that the University operates or provides.

Apply Now