The University of Connecticut (UConn) is pleased to invite applications from early career scientists for a tenure-track faculty position in the Department of Physiology and Neurobiology in the College of Liberal Arts and Sciences at the rank of Assistant Professor. We encourage applications from individuals pursuing fundamental questions in any area of computational physiology and/or computational neuroscience.
The successful candidate will be expected to establish an active research program in computational physiology and/or computational neuroscience, leading to extramural funding and high-quality publications. The successful candidate will also participate in teaching at the graduate and undergraduate levels, which may include the development and teaching of courses aligned with the curriculum goals of the Department. In addition, the successful candidate will engage in the mentoring of students in research, outreach, and professional development. As UConn and the Department are committed to diversity, equity, and inclusion, the successful candidate will also broaden participation and provide an inclusive environment for members of underrepresented groups, and to meet the needs of diverse populations through their research, teaching, mentoring, and/or public engagement. We especially encourage applications from diverse groups and backgrounds underrepresented in STEM.
The Department of Physiology and Neurobiology at UConn (https://pnb.uconn.edu/) is a vibrant, collaborative, and inclusive environment, that pursues excellence and innovation in both biomedical research and teaching. The Department is further committed to expanding research excellence in the field of computational physiology and/or computational neuroscience in collaboration with the Departments of Biomedical Engineering, Psychological Sciences, and Statistics in Storrs as well as with UConn Health, and therefore the successful candidate will have ample opportunity for research collaboration with other departments on campus and at UConn Health. As Connecticut’s flagship public university, UConn is in a transformational period of growth supported by the $1.7B Next Generation Connecticut (http://nextgenct.uconn.edu/) and the $1B Bioscience Connecticut (http://biosciencect.uchc.edu/) investments. STEM research at UConn is further supported by the Center for Open Research Resources and Equipment (COR2E), which oversees an exceptional collection of research support facilities. As part of these initiatives, UConn has hired more than 450 new faculty at all ranks during the past six years. We are pleased to continue these investments by inviting applications for this tenure-track faculty position at the rank of Assistant Professor in the Department of Physiology and Neurobiology. The successful candidate will receive a competitive start-up package to establish an independent computational research program.
Founded in 1881, UConn is a Land Grant and Sea Grant institution and member of the Space Grant Consortium. It is the state’s flagship institution of higher education and includes a main campus in Storrs, CT, four regional campuses throughout the state, and 13 Schools and Colleges, including a Law School in Hartford, and Medical and Dental Schools at the UConn Health campus in Farmington. The University has approximately 10,000 faculty and staff and 32,000 students, including nearly 24,000 undergraduates and over 8,000 graduate and professional students. UConn is a Carnegie Foundation R1 (highest research activity) institution, among the top 25 public universities in the nation. Through research, teaching, service, and outreach, UConn embraces diversity and cultivates leadership, integrity, and engaged citizenship in its students, faculty, staff, and alumni. UConn promotes the health and well-being of citizens by enhancing the social, economic, cultural, and natural environments of the state and beyond. The University serves as a beacon of academic and research excellence as well as a center for innovation and social service to communities. UConn is a leader in many scholarly, research, and innovation areas. Today, the path forward includes exciting opportunities and notable challenges. Record numbers of undergraduate applications and support for student success have enabled the University to become extraordinarily selective.
- Earned a Ph.D. or equivalent, in physiology, neuroscience, or a closely related field.
- At least two years of post-doctoral research experience in an area of computational physiology and/or computational neuroscience that can be integrated with existing strengths in the Department.
- An outstanding scholarly record including publications in leading journals.
- Deep commitment to effective instruction at the undergraduate and graduate levels.
- Strong communication skills.
- The ability to promote diversity through their teaching and research programs.
- Experience with independent research proposal development, ideally with a record of funding from national agencies.
- Demonstrated ability to carry out independent research.
- An innovative, collaborative, and/or multidisciplinary research approach.
- Active participation in major professional societies and international meetings.
- Teaching experience including the integration of technology into instruction and online instruction.
- The ability to contribute to a diverse and excellent learning experience through research, teaching, and/or public engagement.
This is a full-time, 9-month, tenure-track position with an anticipated start date of August 23, 2023. The successful candidate’s academic appointment and laboratory space will be at the Storrs campus. Salary will be commensurate with qualifications and experience.
TERMS AND CONDITIONS OF EMPLOYMENT
Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check.
Please apply online to Academic Jobs Online LINK and submit the following application materials:
- A cover letter,
- Curriculum vitae,
- Research and scholarship statement (innovative concepts that will form the basis of academic career, experience in proposal development, mentorship of graduate students, etc.);
- Teaching statement (including teaching philosophy, teaching experience, commitment to effective learning, concepts for new course development, etc.);
- Commitment to diversity statement (including broadening participation, integrating multicultural experiences in instruction and research and pedagogical techniques to meet the needs of diverse learning styles, etc.);
- Three professional reference letters.
Evaluation of applicants will begin on November 7, 2022, and continue until the position is filled. For more information regarding the Department of Physiology and Neurobiology please visit the Department's website at https://pnb.uconn.edu/.
For questions regarding this position, prospective applicants should contact Heather Hekkala at email@example.com.
At the University of Connecticut, our commitment to excellence is complemented by our commitment to building a culturally diverse community.
This job will be filled subject to budgetary approval.
All employees are subject to adherence to the State Code of Ethics which may be found at http://www.ct.gov/ethics/site/default.asp.
The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University’s teaching, research, diversity, and outreach missions, leading to UConn’s ranking as one of the nation’s top research universities. UConn’s faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations.