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Post Doc Scholar

Loyola University Chicago

Job Description

Position Details

Position Details

 

Job Title
Post-Doctoral Research

Position Number
8150129

Job Category
University Staff

Job Type
Full-Time

FLSA Status
Exempt

Campus
Maywood-Health Sciences Campus

Department Name
HEALTH INFORMATICS & DATA SCI

Location Code
HEALTH INFORMATICS & DATA SCI

Is this split and/or fully grant funded?
Yes

Duties and Responsibilities
Responsibilities will include the following:
  • Develops processes and tools to support process and analysis of satellite imagery using Google Earth Engine, python and or R.
  • Writes scripts to extract spectral and textural indices, and distant-related values for environmental features from satellite imagery.
  • Develops machine learning models for image classification.
  • Performs full range of analytical work related to the development and implementation of systems, databases to create, maintain, display, and update geospatial data.
  • Develops tools that use geospatial technology to answer research questions.
  • Analyze data from complex surveys and field study data from our ongoing epidemiological and entomological study in Kano and Ibadan
  • Present findings at research meetings and conferences
  • Develops systems and application documentation, research papers, user-training materials, and quality control procedures; prepares a variety of technical reports, correspondence, manuals and other written materials.
  • Manages and mentors research assistants.
  • Performs other duties as assigned.

 

 
Expectations:

The selected candidate will collaborate with faculty members of the Department of Health Informatics and Data Science and CHOIR to form research questions, help writing grant proposals, and publish in top-tier clinical/informatics journals. This is a wonderful opportunity for junior scientists to get involved with applying artificial intelligence models on healthcare practice and join collaborative projects with Mayo Clinic, Loyola University Medical Center, etc.

Minimum Education and/or Work Experience
M.D or Ph.D.

Qualifications
  • Ph.D. in a geography, ecology, environmental science, urban planning, computer science or similar technical discipline preferred
  • Published articles in peer-reviewed scientific journals.
  • Ability to communicate quantitative work clearly and effectively to non-experts
  • Ability to work with ambiguity.
  • French language skills
  • Excellent managerial skills

Certificates/Credentials/Licenses
n/a

Computer Skills
  • Proficiency in at least one scripting tool such as Python or R and Java
  • Experience using GitHub for versioning and storing scripts
  • Proficiency in the use of Google Earth Engine
  • Proficiency in machine learning classification algorithms

Supervisory Responsibilities
No

Required operation of university owned vehicles
No

Does this position require direct animal or patient contact?
No

Physical Demands
None

Working Conditions
None

Open Date
04/04/2024

Close Date

 
Special Instructions to Applicants

 
Diversity and Inclusion Statement

Diversity, Equity, and Inclusion

 

As one of the nation’s largest Jesuit, Catholic universities, Loyola University Chicago fosters a transformative cultural experience that honors diversity, equity, and inclusion. We are committed to not only recruiting, but also retaining a diverse, mission driven workforce and enabling a culture of inclusiveness in an environment that values service excellence, stewardship, personal well-being, and professional development for all of our employees. Loyola University Chicago supports its staff and faculty with a wide array of affordable, comprehensive and competitive benefits centered on health and wellness, financial security, equity, and work-life balance. We actively seek those who wish to join our faculty, staff, and students in a community of diverse opinions, perspectives, and backgrounds supporting our Jesuit mission and striving toward the same goal of being persons for and with others.

 

Quick Link for Posting
https://www.careers.luc.edu/postings/27936

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