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Assistant Professor of Computational/Theoretical Bioengineering

Employer
Bioengineering Department at Rice University
Location
Houston, Texas (US)
Salary
Salary to commensurate with qualifications and experience.
Closing date
Nov 11, 2019

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Discipline
Life Sciences, Bioengineering
Position Type
Full Time
Job Type
Faculty
Organization Type
Academia

Tenure-Track Faculty Opening in Computational/Theoretical Bioengineering

Position Description

The Department of Bioengineering at Rice University, located in Houston, TX, seeks applications for a tenure-track faculty position in the area of computational/theoretical bioengineering with a start date of July 2020. The department invites Assistant Professor candidates with expertise in computational modeling and/or theoretical modelling of biological systems. Particular areas of interest are biomolecular/protein engineering, cellular engineering, biomechanics, systems biology, neural engineering, and computational medicine.  Candidates seeking to combine computational and experimental approaches are also encouraged to apply. Outstanding candidates at higher rank will be considered.

Successful candidates will have a strong commitment to teaching, advising, and mentoring undergraduate and graduate students from diverse backgrounds. Candidates will be expected to establish a strong research program supported by extramural funding.

We seek greater representation of women, minorities, people with disabilities, and veterans in disciplines in which they have historically been underrepresented; to attract international students from a wider range of countries and backgrounds; to accelerate progress in building a faculty and staff who are diverse in background and thought; and we support an inclusive environment that fosters interaction and understanding within our diverse community.

Rice offers an outstanding environment for research at the interface of bioengineering, medicine, and biology with strong collaborations with the adjacent Texas Medical Center. We particularly encourage applications from women and members of historically underrepresented groups who bring diverse cultural experiences and who are especially qualified to mentor members of our diverse student population.

Candidates in the area of theoretical biological physics are also invited to apply for interdepartmental physical biology search: https://jobs.rice.edu/postings/21134.

Requirements

All candidates must have a PhD degree in bioengineering or a related field, conferred by July 1, 2020.

Application Materials and Deadline

The committee will begin reviewing the application on November 1, 2019 and continue until the position is filled. To apply, please submit the following materials: (1) cover letter, (2) curriculum vitae, (3) research statement (up to 5 pages), and (4) statement of teaching philosophy (up to 2 pages) to the job posting (https://jobs.rice.edu/postings/21277).  In addition, candidates will be asked to provide the names and contact information for three references, who will automatically be emailed for letters of recommendation at the time of application.

About Rice University

Rice University is a private, comprehensive research university located in the heart of Houston's dynamic Museum District and adjacent to the Texas Medical Center. It offers undergraduate and graduate degrees across eight schools and has a student body of approximately 4,000 undergraduate and 3,000 graduate students. Rice consistently ranks among the top 20 national universities and the top 10 in undergraduate teaching (US News & World Report); its endowment ranks among the top 20 of US universities.

The George R. Brown School of Engineering ranks among the top 20 of undergraduate engineering programs and is strongly committed to nurturing the aspirations of faculty, staff and students in an inclusive environment.

Rice University is an Equal Opportunity Employer with commitment to diversity at all levels and considers for employment qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national or ethnic origin, genetic information, disability, or protected veteran status.

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