POSITION ANNOUNCEMENT
Assistant/Associate Professor in bioinformatics or computational biology. 12-month tenure-track faculty position,
50% collaborative research, 40% independent research and 10% teaching.
Assistant/Associate Professor in bioinformatics or computational biology. 12-month tenure-track faculty position,
50% collaborative research, 40% independent research and 10% teaching.
OVERVIEW: The University of Tennessee, Knoxville is located
in East Tennessee, close to Smoky Mountain National Park and Oak Ridge National Laboratory. The Institute of Agriculture houses the Land
Grant component of the university and consists of academic departments and units (Animal Science, Biosystems Engineering Soil Science,Entomology Plant Pathology, Food Science Technology, Forestry, Wildlife Fisheries, Plant Sciences, and the Center for
Renewable Carbon) conducting fundamental and applied research that addresses problems in production of food, fiber, energy, andenvironmental/agricultural sustainability. In many instances, various omics-related techniques are used to address these and related
problems. This position can be located in any of the academic departments depending on the successful candidate’s background and expertise,
but is expected to enhance the bioinformatics capability of all units. More information on the units is available at taes.tennessee.edu/ and ag.tennessee.edu/casnr.
in East Tennessee, close to Smoky Mountain National Park and Oak Ridge National Laboratory. The Institute of Agriculture houses the Land
Grant component of the university and consists of academic departments and units (Animal Science, Biosystems Engineering Soil Science,Entomology Plant Pathology, Food Science Technology, Forestry, Wildlife Fisheries, Plant Sciences, and the Center for
Renewable Carbon) conducting fundamental and applied research that addresses problems in production of food, fiber, energy, andenvironmental/agricultural sustainability. In many instances, various omics-related techniques are used to address these and related
problems. This position can be located in any of the academic departments depending on the successful candidate’s background and expertise,
but is expected to enhance the bioinformatics capability of all units. More information on the units is available at taes.tennessee.edu/ and ag.tennessee.edu/casnr.
JOB RESPONSIBILITIES: Collaborate with research teams across the Institute in
grant writing, data analysis, and publications (50%), develop an independent research program in bioinformatics or computational biology
(40%), and teach one graduate course per year that enhances bioinformatics capabilities of all units (10%). Recruiting and advising graduate
students, securing extramural funding, publishing in peer-reviewed scientific journals, and developing a nationally recognized research
program are expected. A commitment to departmental, institutional, and professional citizenship such as advising/mentoring students in
enrichment activities and service on committees is required.
grant writing, data analysis, and publications (50%), develop an independent research program in bioinformatics or computational biology
(40%), and teach one graduate course per year that enhances bioinformatics capabilities of all units (10%). Recruiting and advising graduate
students, securing extramural funding, publishing in peer-reviewed scientific journals, and developing a nationally recognized research
program are expected. A commitment to departmental, institutional, and professional citizenship such as advising/mentoring students in
enrichment activities and service on committees is required.
REQUIRED QUALIFICATIONS: A Ph.D. in a life, agricultural, or computer
science/engineering discipline with established expertise in the use of bioinformatics or computational biology for the analysis of complex
biological data; excellent communication skills in written and oral English; a significant publication record in peer-reviewed literature;
and potential for success in obtaining extramural grant or contract funding.
science/engineering discipline with established expertise in the use of bioinformatics or computational biology for the analysis of complex
biological data; excellent communication skills in written and oral English; a significant publication record in peer-reviewed literature;
and potential for success in obtaining extramural grant or contract funding.
DESIRED QUALIFICATIONS: Evidence of the ability to
contribute to collaborative research teams; post-doctoral or other relevant experience beyond the Ph.D.; scientific work in a research
discipline directly related to agricultural sciences; formal statistical training.
contribute to collaborative research teams; post-doctoral or other relevant experience beyond the Ph.D.; scientific work in a research
discipline directly related to agricultural sciences; formal statistical training.
SALARY: Salary and benefits are competitive and
commensurate with training and experience.
commensurate with training and experience.
APPLICATION: Interested candidates should send a letter of application (including a
summary of collaborative bioinformatics experience), a curriculum vita including research publications and grant experience, names and
contact information (including email address) of 3 references, and official transcript showing PhD degree conferred to asaxton@utk.edu or:
Arnold Saxton, Search Chair
232 Brehm Animal Science
2506 River Drive
summary of collaborative bioinformatics experience), a curriculum vita including research publications and grant experience, names and
contact information (including email address) of 3 references, and official transcript showing PhD degree conferred to asaxton@utk.edu or:
Arnold Saxton, Search Chair
232 Brehm Animal Science
2506 River Drive
University of Tennessee
Knoxville, TN 37996-4574
Knoxville, TN 37996-4574
Inquiries about the position are welcome, either asaxton@utk.edu or 865-974-2887.
EFFECTIVE DATE: Screening of applicant’s credentials will begin on
June 3, 2013 and continue until filled, with an anticipated starting date of September 1, 2013.
EFFECTIVE DATE: Screening of applicant’s credentials will begin on
June 3, 2013 and continue until filled, with an anticipated starting date of September 1, 2013.
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