Job Details

Postdoctoral Position Available in Machine Learning for Pediatric Healthcare and Advanced Knowledge Graph Modeling, UIC, College of Medicine, Peoria, IL

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Posted by Rebecca Feinstein
Fri Sep 1, 2023

Job Description:

The University of Illinois College of Medicine Peoria (UICOMP) in collaboration with the Computer Science Department at the University of Illinois Urbana Champaign (UIUC) are seeking a highly motivated Postdoctoral Researcher. The selected candidate will work in the laboratory of Dr. Adam Cross (UICOMP), a clinical research informaticist and director of the Children’s Innovation Lab at the OSF HealthCare/UICOMP Jump Simulation and Education Center and will work in close collaboration with Prof. Jimeng Sun (UIUC), a leading researcher in the field of artificial intelligence (AI) and machine learning (ML) in medicine. 

The project will further the field of physician-in-the-loop healthcare model development by exploring novel clinical knowledge graph architectures and novel use of graph structure in predictive models and will also develop AI/ML models to improve medical care for pediatric patients across a broad array of subspecialties. The project will target publications in leading machine learning/AI venues and top medical and medical informatics journals. 


The successful candidate will primarily research machine learning models using knowledge graphs and high-dimensionality electronic health record (EHR) data sets including tables, free text, clinical images, and scanned images of free text. We are particularly interested in individuals with a strong background in AI, ML, deep learning, large-scale machine learning systems, and knowledge graph models, who are excited about applying their AI/ML skills to challenges in healthcare. 


Responsibilities: 

  • Develop and apply machine learning models for the analysis of risk factors for a variety of pediatric conditions and/or predict their incidence and progression 
  • Develop novel knowledge graph architectures or applications of knowledge graphs that optimize the use of clinical relational knowledge in predictive models for high performance and explainability 
  • Publish their works in top computer science conferences and high-impact medical and general scientific journals 
  • Work collaboratively with a multidisciplinary team to understand clinical needs and translate them into algorithmic solutions 


Qualifications: 

  • A Ph.D. in Computer Science or a related field 
  • Strong publication records in the related area of ML, AI, and NLP 
  • Strong programming skills in Python and libraries such as PyTorch 
  • Experience in healthcare AI/ML and graph theory is highly desired 
  • Excellent problem-solving skills, independent thought, and the ability to manage multiple projects 


We offer a competitive salary and benefits package and the opportunity to work in a supportive, interdisciplinary environment. The postdoc will have the opportunity to work closely with both professors and their teams and will be encouraged to develop their independent research ideas. 


Candidates should submit a CV, a statement of research interests, two representative publications, and contact information for three references to arcross@uic.edu and jimeng.sun@gmail.com. Applications will be reviewed on a rolling basis until the position is filled. 


The University of Illinois College of Medicine Peoria and the University of Illinois Urbana-Champaign are equal opportunity employers and encourage applications from underrepresented minorities and women. 


Dr. Adam Cross, 

Director, Children’s Innovation Lab 

Children’s Hospital of Illinois (CHOI) 

Department of Pediatrics, University of Illinois College of Medicine Peoria

 

Dr. Jimeng Sun, 

Health Innovation Professor 

at Computer Science Department and Carle Illinois College of Medicine, University of Illinois Urbana-Champaign 

Closing Date

Dec 31, 2023

Apply Link:

Tags: AI ML deep learning knowledge graph models healthcare rural