Assistant Professor of Computational Biochemistry

This position, with an emphasis on the development and application of computational approaches, including those based on machine learning, artificial intelligence, or atomistic simulations, for studying protein structure, function and evolution, molecular recognition, novel therapeutic and immunological target development, or for prioritizing molecular modifications yielding desirable traits, will add to the overall push on campus in the area of computational science and predictive modeling for application to biological systems. The successful candidate will develop and use innovative approaches in Computational Biochemistry and have the skills to work independently as well as in collaborative groups. Those with both computational and experimental (wet lab) expertise in Biochemistry are also encouraged to apply.

The successful candidate will be expected to obtain external funding to support a vibrant research program in their discipline, engage in mentoring undergraduate and graduate students and postdoctoral fellows, and effectively teach undergraduate courses in subjects such as Biochemistry, Molecular Biology, or Immunology, and graduate level courses in their area of expertise (Computational Biochemistry).

The faculty member is also expected to participate in relevant regional, national, and international research communities within their disciplines. The successful candidate will have access to high-performance computing systems through the Texas Advanced Computing Center (TACC: https://research.unt.edu/research-services/research-computing), will interact with diverse faculty, staff, and students within and between departments at UNT, including those from the Advanced Environmental Research Institute (AERI: http://aeri.unt.edu) and the BioDiscovery Institute (BDI: http://bdi.unt.edu), contributing to a strong tradition of interdisciplinary and collaborative research at UNT.

The faculty member will have an interest in and will participate in our growing undergraduate (https://biology.unt.edu/undergraduate-programs) and graduate (http://biology.unt.edu/graduate-programs) degree programs and is expected to help foster student growth along with other faculty members through instruction and research. In addition to this position in Computational Biochemistry, the Department of Biological Sciences at UNT is growing its faculty with new searches in Cancer Biology and Plant Stress Biology, which complement recent hires in Immunology, Epigenetics, Microbiology. Neurobiology, Invertebrate Biology, Systems Biology, Biochemistry, and Cell Biology.

Minimum Qualifications:

The successful candidate will have earned a doctoral degree in Biological Sciences, Biochemistry, or a related field, with expertise in computational modeling of biological systems and postdoctoral experience in Computational Biochemistry or related field.

Preferred Qualifications:

Preference will be given to applicants with

1. a postdoctoral experience in the field of Computational Biochemistry;
2. a proven record or potential to obtain external funding to support an active research program;
3. a growing record of scholarship and publication in high tier journals appropriate to the applicants' field of study; and
4. an academic record demonstrating the potential for excellence in undergraduate and graduate teaching among UNT's student population.

The UNT System and its component institutions are committed to equal opportunity and comply with all applicable federal and state laws regarding nondiscrimination and affirmative action. The UNT System and its component institutions do not discriminate on the basis of race, color, sex, sexual orientation, gender identity, gender expression, religion, national origin, age, disability, genetic information, or veteran status in its application and admission processes, educational programs and activities, and employment practices.