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Job Summary

A postdoctoral position is available in the areas of biomedical signal processing and statistical analysis of data in the Michigan Center for Integrative Research in Critical Care (MCIRCC), Department of Emergency Medicine, University of Michigan (UM). Research in our center focuses on developing clinical decision support systems and real time analytics platform for developing and translating advanced data science into critical care practice. Applicants will be responsible for conducting research in signal processing and machine learning pertaining to physiological signals and clinical information, and developing statistical models for application towards diagnostic and predictive decision support systems. This position focuses on the translational aspects of our existing research into the clinical environment as viable products. 

We are looking for an ambitious, talented, and self-motivated individual with an interest in leveraging our research interest. The state of the art research platform being developed by MCIRCC is a hybrid system consisting of several disparate hardware and software components. Therefore, the candidate is expected to be a dynamic problem solver and not afraid of learning new languages and skills in order to get the job done. Candidates must be able to actively develop analytical formulations as needed for the project, and analyze performance of the resulting methods by writing MATLAB or python scripts. They should actively collaborate with the team as well as with other clinical collaborators within the school and also in other institutes, depending on project needs. The candidate will be involved in contributing towards developing manuscripts for publication and needs to present research results within/outside UM. Preferred are candidates who would recognize themselves as ‘Jack of all trades’.

Applicants must have a PhD degree, and s/he needs to have background in signal processing, statistics, clinical/physiological data, machine learning. Proficiency in coding using MATLAB/Python is needed. Background in development of clinical decision support systems and translational research is definitely a plus, but such is not a requirement. However, the candidate should be open to becoming familiar with the literature depending on the need of the project.

Required Qualifications*

Applicants must have a PhD in Biomedical Engineering, Electrical Engineering, Computer Science, or a closely related field. Applicants must have a PhD degree, and a background in classical and statistical signal processing, statistical learning, descriptive statistics. Proficiency in coding using MATLAB (preferred) and/or Python is needed.

Desired Qualifications*

Background, skills, and motivation in the following areas are desired:

• Physiological signal and clinical data processing

• Programming in Matlab and/or Python for data acquisition and analysis.

• Background in signal processing, statistical modeling, and machine learning

• Excellent communication and technical writing skills in English

• Interest in developing translational research that has clinical impact

Additional Information


Initial appointment is for one year. Renewal of appointment thereafter will be based on the annual evaluation of performance relative to the expectations outlined, availability of funds and the needs of the Department and the Medical School.

Background Screening

University of Michigan Health System 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.

U-M EEO/AA Statement

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