Visiting Postdoc Research Associate
Hiring Department: Emergency Medicine
Location: 808 S. Wood, Chicago, IL 60612
Requisition ID: REQUISITION. ID 1018925
Posting Close Date: June 9, 2023
About the University of Illinois Chicago
UIC is among the nation’s preeminent urban public research universities, a Carnegie RU/VH research institution, and the largest university in Chicago. UIC serves over 34,000 students, comprising one of the most diverse student bodies in the nation and is designated as a Minority Serving Institution (MSI), an Asian American and Native American Pacific Islander Serving Institution (AANAPSI) and a Hispanic Serving Institution (HSI). Through its 16 colleges, UIC produces nationally and internationally recognized multidisciplinary academic programs in concert with civic, corporate and community partners worldwide, including a full complement of health sciences colleges. By emphasizing cutting-edge and transformational research along with a commitment to the success of all students, UIC embodies the dynamic, vibrant and engaged urban university. Recent “Best Colleges” rankings published by U.S. News & World Report, found UIC climbed up in its rankings among top public schools in the nation and among all national universities. UIC has nearly 260,000 alumni, and is one of the largest employers in the city of Chicago.
The Department of Emergency Medicine (EM), through the Center for Health Equity using Machine Learning and Artificial Intelligence (CHEMA), at the University of Illinois-Chicago (UIC) is seeking applications for a Post-Doc to conduct research in the area of machine learning and natural language processing for the detection of substance use disorders. This position will be focused on using natural language processing and machine learning to develop classifiers for substance use disorders to aid clinical management and developing data pipelines using the electronic medical record.
Duties & Responsibilities
Applicants are expected to have a strong background in machine learning and natural language processing. Candidates with expertise using healthcare data from the electronic health record are preferred. Communication and writing skills are required along with success in previous academic research. Selected candidates will be expected to collaborate with team members, design and manage research projects, and present reports and publish peer-reviewed journal articles.
PhD in a relevant field, including computer science, machine learning and artificial intelligence, or related fields
For fullest consideration, resumes should be received by June 9, 2023
The University of Illinois is the largest University in the Chicago area. With several nationally ranked health sciences schools, we offer an unprecedented opportunity for multi-disciplinary care, education and research.
The University of Illinois at Chicago is an affirmative action, equal opportunity employer, dedicated to the goal of building a culturally diverse and pluralistic faculty and staff committed to teaching and working in a multicultural environment. We are committed to equal employment opportunity regardless of race, color, national origin, sex, religion, age, sexual orientation, gender identity, Veteran or disability status.
The University of Illinois conducts background checks on all job candidates upon acceptance of contingent offer of employment. Background checks will be performed in compliance with the Fair Credit Reporting Act.
The University of Illinois System requires
candidates selected for hire to disclose any documented finding of sexual
misconduct or sexual harassment and to authorize inquiries to current and
former employers regarding findings of sexual misconduct or sexual harassment.
For more information,
University of Illinois faculty, staff and students are required to be fully vaccinated against COVID-19. If you are not able to receive the vaccine for medical or religious reasons, you may seek approval for an exemption in accordance with applicable University processes.
The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, COVID-19 vaccination requirement, and employment eligibility review through E-Verify.
The university provides accommodations to applicants and employees. Request an Accommodation
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