University of North Texas System
Assistant Professor of Computational Biochemistry
University of North Texas System, Denton, Texas, United States, 76205
Title:
Assistant Professor of Computational Biochemistry
Employee Classification:
Assistant Professor
Campus:
University of North Texas
Division:
UNT-Provost
SubDivision-Department:
UNT-College of Science
Department:
UNT-Biological Sciences-121100
Job Location:
Denton
Salary:
commensurate upon experience
FTE:
1.00
Retirement Eligibility:
ORP Eligible
Position Overview
The Department of Biological Sciences at the University of North Texas (UNT), a Research 1 (R1) Carnegie classification university with over 49,000 students, invites applications for a tenure-track faculty position at the Assistant Professor level in Computational Biochemistry 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. This position 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.
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 a 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.
Special Instructions:
Applications should include a cover letter, a curriculum vitae, a statement of current research interests and future trajectories (4-page limit), sample publications (up to 3 PDFs), a statement on teaching philosophy, and names of three referees who are willing to provide reference letters. Inquiries regarding the position, but not the application materials, may be directed to Dr. Rajeev Azad, Search Committee Chair, on Rajeev.Azad@unt.edu.
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Assistant Professor of Computational Biochemistry
Employee Classification:
Assistant Professor
Campus:
University of North Texas
Division:
UNT-Provost
SubDivision-Department:
UNT-College of Science
Department:
UNT-Biological Sciences-121100
Job Location:
Denton
Salary:
commensurate upon experience
FTE:
1.00
Retirement Eligibility:
ORP Eligible
Position Overview
The Department of Biological Sciences at the University of North Texas (UNT), a Research 1 (R1) Carnegie classification university with over 49,000 students, invites applications for a tenure-track faculty position at the Assistant Professor level in Computational Biochemistry 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. This position 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.
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 a 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.
Special Instructions:
Applications should include a cover letter, a curriculum vitae, a statement of current research interests and future trajectories (4-page limit), sample publications (up to 3 PDFs), a statement on teaching philosophy, and names of three referees who are willing to provide reference letters. Inquiries regarding the position, but not the application materials, may be directed to Dr. Rajeev Azad, Search Committee Chair, on Rajeev.Azad@unt.edu.
#J-18808-Ljbffr