Assistant Professor

Assistant Professor - 40927 Faculty

University of Colorado Anschutz Department:
Physiology and Biophysics

Job Title:

Assistant Professor Position #

– Requisition #40927

Job Summary:

The Department of Physiology and Biophysics at the University of Colorado School of Medicine is seeking to hire a computational neuroscientist to fill an Assistant Professor-rank tenure-eligible faculty position. The ideal candidate will have an outstanding track record whose proposed research program will occupy the cutting edge of computational neuroscience and interface with departmental research through either formal or informal collaborations.

We especially encourage applicants with research interests that complement and extend both Departments' existing research strengths in nervous system function and computational science. A strong track record and potential for success in securing competitive funding is essential. The successful candidate will be expected to lead a vigorous research program, participate in professional and graduate training, and play a pivotal role in the growing computational neuroscience community at CU Anschutz.

Key Responsibilities:

Candidate will lead an original and productive research group, secure external funding, and publish their work. Candidate is expected to teach courses in the graduate and/or medical schools. Candidate is expected to participate in service to the department and University.

Work Location:

Onsite – this role is expected to work onsite and is located in Aurora, CO. Why Join Us:
Appointees will join a vibrant and growing Department of Physiology and Biophysics under the new leadership of Dr. David Di Gregorio – hired as Chair in January 2023 – with a commitment to mentoring faculty and trainees from diverse backgrounds. Research interests in the Department of Physiology and Biophysics currently include sensory and motor systems neuroscience, computational neuroscience, ion channel biophysics, synaptic function, developmental neurobiology, cardiac and skeletal muscle physiology, and cell signaling.

Extra-departmental interactions within neuroscience and physiology, including basic science and translational collaborations, are facilitated by several NIH-supported interdepartmental graduate programs and centers (e.g., Neuroscience Program, Computational Biology Program, and Integrated Physiology Program). In addition, the Neuro Technology Center supports core facilities that include advanced light microscopy, super resolution nanoscopy, rodent in vivo behavior and electrophysiology, neural engineering, and a machine shop.

Why work for the University? We have AMAZING benefits and offer exceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including:
Medical:
Multiple plan options Dental:
Multiple plan options Additional Insurance:
Disability, Life, Vision Retirement 401(a) Plan:
Employer contributes 10% of your gross pay Paid Time Off:
Accruals over the year Vacation Days: 22/year (maximum accrual 352 hours) Sick Days: 15/year (unlimited maximum accrual) Holiday Days: 10/year Tuition Benefit:
Employees have access to this benefit on all CU campuses ECO Pass:
Reduced rate RTD Bus and light rail service There are many additional perks & programs with the CU Advantage.

Qualifications:

Minimum Qualifications:

Applicants must meet minimum qualifications at the time of hire. Assistant Professor:
Ph.D. and/or M.D. degree in Neuroscience, Vision Science, Physiology/Biophysics, or a closely related field Three years of post-doctoral research experience A strong record of peer-reviewed academic publications A well-developed plan for independent research and funding

Preferred Qualifications:

Demonstrated excellence, originality, and productivity in research A track record of competitive, peer-reviewed grant funding Teaching experience at the undergraduate and/or graduate level Willingness to collaborate Mentorship experience of trainees (undergraduate, graduate, or postdoctoral researchers) Having received training in mentorship and/or teaching practices and theories

Knowledge, Skills and Abilities:

Strong knowledge of…