Adjoint Associate Professor

University of Colorado • Aurora, CO

4d • Hybrid

About The Position

The Department of Physiology and Biophysics at the University of Colorado School of Medicine invites applications for an adjoint faculty position at the level of Adjoint Associate Professor (0.1 FTE). We seek outstanding individuals with research programs that utilize quantitative and/or computational approaches (e.g., biophysical, electrophysiological, imaging, systems neuroscience, or machine learning-based methods) to study the mechanistic regulation of physiological systems.
Areas of interest include, but are not limited to, neural circuit dynamics, sensorimotor systems, neuroengineering, and computational modeling of biological systems. Successful applicants are expected to maintain an externally funded research program and contribute to graduate and professional teaching within the Department.
Appointees will join a vibrant and growing Department (www.medschool.ucdenver.edu/physiology), under the leadership of Dr. David DiGregorio, with a commitment to mentoring faculty and trainees from all backgrounds. Research interests in the Department currently include cardiac and skeletal muscle physiology, ion channel biophysics, molecular physiology, cell signaling, sensory and motor systems, and synaptic function. Extra-departmental interactions within molecular biophysics, neuroscience and physiology, including basic science and translational collaborations, are facilitated by several NIH-supported interdepartmental graduate programs and centers (e.g., Neuroscience Program, Pharmacology program, Structural Biology and Biochemistry program). Other shared resources include cores for biophysics and molecular interactions, molecular structure, electron microscopy, genomics, proteomics, and transgenic rodents. The Department is particularly interested in expanding strengths in computational and systems neuroscience, quantitative biology, and interdisciplinary research at the interface of biology, engineering, and data science.

Requirements

• Ph.D. and/or M.D. degree in Physiology, Biophysics, Neuroscience, Biomedical Engineering, or a closely related field
• Rank of Associate Professor or at least three years at the rank of Assistant Professor at an accredited university or institution
• A strong record of peer-reviewed academic publications in physiology, neuroscience, or related quantitative/biomedical disciplines
• A well-developed plan for continued independent research and funding
• Strong knowledge of advanced principles relevant to their specialty in biomedical research
• Ability to analyze and solve complex problems and apply quantitative and/or computational analytical approaches
• Ability to investigate the properties of statistical methodology through simulation or other means
• Ability to develop new methodologies and disseminate these innovations through publication and/or presentations
• Experience working with complex or large-scale biological datasets and applying appropriate analytical techniques
• Good organizational skills across individual projects, managing own workload
• Excellent written and verbal communication skills
• Positive attitude and the ability to work with other biomedical investigators and colleagues across the department, school, and university
• Ability to contribute to the growth and development of the Department

Nice To Haves

• 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, including across interdisciplinary teams
• Mentorship experience of trainees (undergraduate, graduate, or postdoctoral researchers)
• Having received training in mentorship and/or teaching practices and theories
• Experience applying quantitative, computational, or data-driven approaches to biological or biomedical research
• Demonstrated ability to conduct interdisciplinary research bridging experimental and computational methods

Responsibilities

• Lead an independent, externally funded research program in physiology, neuroscience, or related fields
• Apply quantitative, computational, or data-driven approaches to investigate biological systems
• Contribute to interdisciplinary collaborations, including partnerships across neuroscience, engineering, and computational disciplines
• Mentor graduate students and trainees in experimental and/or computational research
• Participate in graduate and/or professional teaching, including quantitative or systems-level coursework
• Contribute to the broader academic mission of the Department

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree