We are seeking a full time Postdoctoral Research Associate / Scholar
to work on exciting projects at the intersection of machine learning
(ML), AI, and clinical decision support at Washington University in St
Louis. The candidate will work with massive real-time medical data
collected in a leading hospital, and will solve challenging problems
with significant impacts on next-general smart healthcare.
The goal of the TECTONICS (Telemedicine Control Tower for the OR:
Navigating Information, Care and Safety) project is to harness large
scale clinical data to improve the care of perioperative patients by
providing timely, explainable, and actionable ML predictions of
patient trajectories. The TECTONICS team is externally funded for a
randomized trial of integrated telemedicine and real-time risk
prediction for anesthesia providers.
TECTONICS is deeply interdisciplinary, including experts in ML, big
data mining, human-computer interaction, biostatistics, clinical
informatics, and clinical trials. Currently the team consists of 6
full-time faculty members, 2 postdoctoral researchers, 3 PhD students,
1 informatics technicians, 1 clinical experts, and 3 staff members and
we are seeking to hire 1-2 additional post-docs and research staff.
The candidate will take a leading role in refinement existing methods
and development of novel techniques in ML for clinical prediction. The
candidate will be expected to pursue independent lines of research,
and should anticipate using one of the multiple clinical datasets
available to the TECTONICS team. The datasets contain detailed
electronic records and real-time operation data for hundreds of
thousands of patients. The candidate will co-supervise graduate
students and undergraduate research assistants, and be expected to
work closely with TECTONICS team members from other disciplines.
Successful candidates will hold an MD or PhD and have a strong
research record in machine learning and a strong interest in
developing practical systems for healthcare and medicine. Expertise
with time-series learning, interpretable and actionable learning,
online learning, dealing with imbalanced, noisy, and incomplete data,
knowledge embedding, and clinical data mining will be a plus. The
duties and responsibilities of this position include conducting
individual and collaborative research on the themes of the project,
developing novel algorithms and systems based on the needs of the
project, and producing high-quality outputs for publication in
high-profile journals or conference proceedings.
The position is initially for 2 years, with possible extension up to 5
years total. We offer a highly competitive benefits package including
training and development opportunities. Washington University in St.
Louis is one of the best places for this type of interdisciplinary
research on ML and AI in telemedicine and clinical decision-making.
The position is based in St. Louis, Missouri, USA where the university
is situated in a beautiful, leafy campus near the Forest Park and many
metropolitan activities. This is a full-time position, available from
July 2019 or as soon as possible thereafter.
To apply, please send your CV to Maureen Arends at [email protected] .
Please mention the TECTONICS project in your email.
For any questions regarding this opportunity, please feel free to contact:
Prof. Yixin Chen ([email protected]), Department of
Computer Science and Engineering
Prof. Michael Avidan ([email protected]) , Department
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