Postdoctoral research scholar

How to Apply
Email you application to vipopov@umich.edu

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 meaningful learning experience, helping students stick with engineering and become better problem-solvers.

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. HCI/LAK/CSCW/CSCL/ISLS); 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.