Learning analytics position. We seek candidates in the field of large-scale learning and behavioral data analytics who will focus on understanding, designing, and evaluating systems to advance teaching and learning in formal and informal educational settings. Successful candidates will combine insights from the learning, cognitive, and computer sciences approaches to working with data generated by teachers and learners interacting in face-to-face, blended, and online contexts. Candidates with experience in experimental and developmental research to build, validate, and effectively employ analytic technologies or techniques that make a positive impact on learning and teaching will be well-suited to this position. Examples include (but are not limited to) research on: behavioral interventions for learners; visualizations of learners/learning to support teaching; the use and impact of social media and other online tools in learning/teaching; feedback systems for learners; or adaptive/personalized learning and tutoring systems.
Clinical simulation position. We seek candidates who will focus on understanding, designing, and evaluating systems to support teaching and learning using simulation techniques and approaches. Successful candidates will combine insights from the learning, cognitive, engineering, and computer science approaches to working with multidisciplinary teams of colleagues to improve the effectiveness of clinical simulation in enhancing practitioner learning, health care quality, operational efficiency, and learning at all levels. Candidates with experience in experimental and developmental research to build, validate, and deploy simulation technologies or techniques that make a positive impact on learning and teaching will be well-suited for this position. Examples include (but are not limited to) research on new simulator development; evaluation of high, medium, and low fidelity simulators for training in clinical procedures; development and evaluation of self-directed simulation-based training programs; virtual reality simulation for clinical practice, impact of simulation-based training on clinical skills and patient safety outcomes, and validation of simulation-based assessment tools to measure clinician’s knowledge, procedural, and communication skills.
Responsibilities for both positions. •Develop and conduct an externally funded research program aligned with the division’s mission and in the area of the individual’s scholarly interest. •Foster scholarly initiatives with other faculty members for improving health professions education. •Participate as a faculty member teaching in the Department’s and Division’s educational programs such as the Master of Health Professions Education (MHPE) Program and the Health Infrastructures & Learning Systems (HILS) MS/PhD program •Expand and participate in the innovative educational offerings and learning laboratory of the Clinical Simulation Center. •Provide leadership and service addressing health care provider learning, primarily on the development, delivery, and evaluation of innovative programs to enhance medical and health science student learning, but also including learning by practicing health care professionals.
Start-up package are available to help the successful candidates establish a sustainable research program. Joint appointments with other departments across the University will be available and encouraged.
Qualifications. Applicants must have: •A terminal research degree (PhD or equivalent) in a relevant discipline. •A clear research focus on either learning analytics or simulation training, and possibly other areas of educational innovation related to the mission of the Division. •A record of scholarly achievement and funding capabilities appropriate to the applicant’s seniority and professional experience. •Demonstrated potential for successfully teaching students and practitioners, preferably in health care professions. •Exceptional organizational and communication skills for work in an interdisciplinary department.
Application. To apply, assemble and submit the following information: • Letter of application that indicates the position applied for (learning analytics or simulation training) and addresses the five qualifications listed above as applied to the position description. • Current curriculum vitae.
Application materials should be sent by email to: Tana O’Lone (email@example.com) Associate Administrator, Department of Learning Health Sciences, University of Michigan Medical School
Review of applications will continue until the position is filled.
For further information about the DLHS, the DPE, and the CSC, see http://lhs.medicine.umich.edu.
The University of Michigan is an equal opportunity/affirmative action employer.