Offre Tenure Track (North Carolina)

The Department of Forestry and Environmental Resources (DFER) at North Carolina State University invites applicants for a 9-month, tenure track faculty position as an Assistant or Associate Professor of Forest Genetics. See the job posting here –> https://jobs.ncsu.edu/postings/230503. The position was posted in early May. We are starting to review applications (in June), and we will review all applications submitted and complete by July 27.

The position requires:

Deep understanding of forest genetics, genomics, tree breeding, quantitative genetics, and gene editing technologies.
Computation and data skills.
Ability to secure external research funding.
Strong communication and interdisciplinary collaboration skills.
Background in quantitative methods applied to biological systems.
Experience working with forests or other perennial/woody plant systems.
Strong record of peer-reviewed publications.
Commitment to excellence in teaching and mentoring students.

The position will involve both research and teaching. DFER is a recognized global leader in forest genetics research and education, and we expect this position to contribute to our long-standing world-class expertise in forest genetics. Forest genetics programs in DFER include Camcore, Christmas Tree Genetics, Forest Biotechnology Group, and Tree Improvement Program, which collectively are deploying molecular genetics and biotechnology of forest trees to address critical challenges with forest health, productivity, sustainability, and climate change. We expect this position to bring complementary expertise to our existing research groups.

DFER offers more courses in forest genetics than any other institution, attracting top students from around the world. The forest genetics faculty also teach undergraduate and graduate courses on topics such as data science for natural resources and ethics of genetic engineering and society. Similarly, this position will teach both forest genetics and related subjects, depending on the needs of the department and expertise of the candidate, with possibilities including the integration of remote sensing, high throughput phenotyping and AI in forest genomics and genetics research, as well as data science in relation to bioinformatics