Postdoc – Perioperative Biomedical Computing and Health Informatics Laboratory

Maxime Cannesson, MD, PhD from the Department of Anesthesiology & Perioperative Medicine at the University of California, Los Angeles invites applications for a Postdoctoral Research Position in the Perioperative Biomedical Computing and Health Informatics Laboratory. The goal of Dr. Cannesson’s research is to develop, validate, and test real-time risk prediction tools based on electronic health record data and high-fidelity physiological waveforms to predict physiological instability in surgical patients.

Requirements:

Appointee must possess a recent doctorate degree, in the field of computer science or related disciplines.

Skills and Experience

Machine learning

Supervised Machine Learning

Unsupervised Machine Learning

Python

scikit-learn

TensorFlow

SQL

Experience with biological signal processing

Familiar of Deep learning techniques

Signal processing

Key metrics for model validation

Statistical background

Duties

Extract data from existing databases

Develop, train, and validate machine learning models

Analyze healthcare data

Assist in writing research proposals for future

Actively participate in research collaboration with interdisciplinary teams from UCLA and other institutions

Participate in bi-monthly lab meetings with collaborators

Qualifications

Basic Qualifications (required at the time of application)

Appointee must possess a recent doctorate degree, in the field of computer science or a related discipline.

Previous training and research in machine learning is preferred.

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