Neuroimaging Computational Science Faculty

Cincinnati Children’s is looking for an innovative and passionate Neuroimaging Computational Science Faculty to join our team. We are seeking a highly qualified individual who is excited to lead the development of cutting-edge techniques for the analysis of neuroimaging data. The ideal candidate will have a proven track record of excellence in the field of computational neuroscience, a passion for teaching and mentoring, and demonstrated expertise in the acquisition and analysis of neuroimaging data. Our ideal candidate is a creative problem solver with excellent communication and collaboration skills, and a desire to make a lasting impact on the research and healthcare of children and families. The successful candidate will possess a doctoral degree in neuroscience, computer science, applied mathematics, or a related field, along with experience in the development of software for neuroimaging research. The successful candidate should also have a record of publications in peer-reviewed journals and the ability to develop and lead research projects. Proven experience in mentoring and teaching students, postdocs, and junior faculty is also necessary.\n\nResponsibilities:\n\nDevelop cutting-edge techniques for the analysis of neuroimaging data.
Lead research projects and mentor students, postdocs, and junior faculty.
Develop software for neuroimaging research.
Publish in peer-reviewed journals.
Communicate and collaborate effectively with other members of the team.
Remain up-to-date with the latest advancements in computational neuroscience.
Work to make a lasting impact on the research and healthcare of children and families.
Cincinnati Children's is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.