How to Apply

Email you application to [email protected]

The application must include:

• cover letter (statement of motivation articulating scientific work and research interest, e.g., how applicant?s research aligns with the overall project). Special focus should include the proposed approaches of analyzing, integrating, and relating multimodal data collected through a debriefing system to deliver information to the instructor and leaners on their clinical management and teamwork processes and performance.
• CV
• any research publication(s) relevant to the project
• list of references: 2-3 references (name, e-mail and phone number)

Job Summary

DLHS is seeking a highly motivated, talented postdoctoral scholar with experience in Collaborative Learning, Simulation-based training, and Multimodal Learning Analytics to join a dynamic research team with expertise in learning sciences, medical education, and computer science. The postdoctoral researcher will contribute to two research strands. The first project focuses on the development of a novel debriefing system that aims to capture and visualize multimodal data streams from the fully immersive multi-user VR simulation environment to evaluate learners' cognitive (e.g., clinical decision-making) and behavioral (e.g., situational awareness, communication) processes. Through this new multimodal debriefing system, instructors will be able to provide new insights and personalized feedback to clinicians during post-simulation debriefing sessions to allow for more meaningful reflection, targeted intervention, and rapid development of these complex skills in service to patients who suffer sudden medical emergencies. The second project aims to help engineering students learn from their mistakes by creating personalized tools that turn failure into a positive learning experience, helping students stick with engineering and become better problem-solvers.

Mission Statement

Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.

Who We Are

The Department of Learning Health Sciences (DLHS) is a first-in-the-nation basic science department focused on the sciences related to learning across multiple levels of scale (i.e. individual, group, organization, region, nation). DLHS works to improve health in systemic ways by advancing the sciences that make learning effective, routine, and efficient. Our bold research programs generate new knowledge that enhance learning at all levels; our innovative educational programs train new researchers and practitioners in the sciences of learning; our collaborative service programs enhance health professions curricula and guide health systems as they evolve to become learning health systems. More information about DLHS is available at: https://medicine.umich.edu/dlhs

Responsibilities*

1) Helping engineer and evolve an unobtrusive multi-modal sensor-based data collection system for the first project (60%); and

2) Designing experiments, collecting and analyzing diverse data sources (e.g., biometrics, psychosocial assessments, classroom observations), developing personalized failure profiles, and collaborating with a cross-disciplinary team for the second project (40%).

Required Qualifications*

The applicant must hold a PhD degree or equivalent in computer science, statistics, learning science, or another field with relevance to higher education research (e.g., learning analytics, human factors, social or behavioral sciences).

Desired Qualifications*

The qualified candidate will have: a proven track record in carrying out excellent research; a strong publication record in international conferences and journals (e.g. human-computer interaction/CSCW/CSCL); a strong background in some or all of the following subjects, or a related discipline: social signal processing, machine learning, experience with data mining, data analytics and visualization tools.

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

Background Screening

Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

Application Deadline

Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.

253916

RESEARCH FELLOW/POST DOC

RESEARCH FELLOW

Ann Arbor Campus

Hybrid

Full-Time

Regular

Exempt

Medical School

MM DLHS Administration

8/30/2024 - 9/29/2024

Research Fellows