Description
Post Doctoral Associate-DeMazumder Lab
Med-Surgery - Pennsylvania-Pittsburgh - (25006720)
The Department of Surgery, McGowan Institute for Regenerative Medicine, is seeking to fill a permanent full-time position for a Postdoctoral Associate who will focus on Computer Science and Engineering for advancing AI healthcare research.
Qualifications:
1) PhD degree (either awarded or in progress) in the computer sciences, engineering, or related fields;
2) Proficiency in and prior experience with digital signal processing;
3) Proficiency in and prior experience with feature extraction from time series data;
4) Proficiency in C/C++, Python and Matlab;
5) Proficiency or interest in gaining proficiency in Stata/Mata statistical programming.
Primary duties:
The trainee will write software code in Python, C/C++ and Stata/Mata to:
1) Optimize existing code for signal processing and numerical analysis of ECG, PPG, and other physiological waveforms;
2) Convert existing Matlab and Stata code to C/C++, Python and Mata for body signal waveform analysis and personalized health risk stratification under the guidance and supervision of leading experts in the mathematical sciences, healthcare engineering and clinician-scientists.
Other responsibilities:
The trainee will be primarily responsible for day-to-day software and computing tasks in Dr. DeMazumder's lab. This includes following all applicable state, federal, and institutional laws and regulations; programming and maintaining functionality of the computing hardware and software infrastructure; ensuring data quality and security; training and managing junior students and staff; performing statistical analyses; presenting research results orally and in writing through conference and journal article publications; coordinating with collaborators and projects members; routinely preparing and submitting progress reports to Dr. DeMazumder and stakeholders in a timely manner; and preparing and submitting manuscripts and grant applications in a timely manner.
To be considered for this position, please provide a current curriculum vitae when applying through Talent Center at join.pitt.edu and search for Requisition #: 25006720
The University of Pittsburgh is an equal opportunity employer / disability / veteran.
Assignment Category: Full-time regular
Campus: Pittsburgh
Child Protection Clearances: Not Applicable
Required Attachments: Curriculum Vitae
Assignment Category Full-time regular
PI280347551