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제목 [University of Connecticut School of Medicine] Post‐Doctoral Fellow in Infectious Disease Modeling
작성자 KSIAM 등록일 2023-03-10
이메일 ksiam@ksiam.org

Department of Public Health Sciences University of Connecticut School of Medicine

Post‐Doctoral Fellow in Infectious Disease Modeling

to Inform Public Health Policy

 
The University of Connecticut School of Medicine is recruiting a full‐time Post‐Doctoral Fellow. The person filling this position will be working at the intersection of disease dynamics, empiric epidemiological/clinical data, and public health policy in Korea, the US and globally, with a focus on providing strategic guidance for the control and elimination COVID-19, HIV and tuberculosis (TB). The focus of the fellowship is on applying rigorous mathematical models and epidemiologic/statistical methods to inform public health decision-making.
 
The choice of projects can be tailored to fellow’s interest and expertise. Potential projects include:
  1. Models incorporating COVID-19 disease dynamics along with non-public health parameters (economic/education performance) to guide policy decision-making (e.g. applying disease transmission modeling and advanced statistical modeling with national surveillance or health insurance claim data in South Korea)
  2. Models for integrated service delivery for HIV/TB and non-communicable diseases (NCD) in global high-burden and resource-limited settings (e.g. applying agent-based modeling and systems dynamic modeling)
  3. Models to guide decision making at local, national and global levels (e.g. Balancing considerations of cost, implementation, and epidemiological impact and cost effectiveness)
 
Qualifications:
1. A recent PhD (or MD) degree in a relevant discipline (expected graduation by May 2023 is acceptable)
2. Strong quantitative and analytical skills, ideally with demonstrated ability to lead modeling research
3. Experience in at least one of the following areas: (i) epidemiology; (ii) disease modeling; (iii) health economics
4. Proficiency in one more programming language (e.g., R, Python, or other scientific languages)
5. Ability to work independently, with strong communication and writing skills
6. Experience in data analysis and visualization, development and simulation of mechanistic models, cost-effectiveness analysis, and/or Bayesian statistical inference
 
To Apply:
Submit the following to Dr. Youngji Jo at jo@uchc.edu, Assistant Professor of Public Health Sciences.
1. Cover letter describing research interests, career goals, prior experience
2. Curriculum Vitae
3. Contact information of 3 references (to be contacted only after first discussing with the applicant)
 
Applications will be considered on a rolling basis until all available positions are filled, but preference will be given to applications received by March 31, 2023. The preferred start date is between May 1 and August 1, 2023. This is a full‐time (12‐month) position. The position can last for up to 2-3 years with possible renewal subject to performance and funding availability. Preference will be given for someone who can commit to at least 2 years.
 
About UConn School of Medicine: The position will be located within the school’s Department of Public Health Sciences. Department faculty maintain vibrant extramural research and service programs that reflect extensive associations with national, state and regional health agencies. The UConn School of Medicine is part of the University of Connecticut Health Center, a vibrant integrated academic medical center. The Health Center's 206‐acre campus is located in the historic community of Farmington about 8 miles west of Hartford. The location allows for convenient travel via train or car to other major cities in the Northeast.
 
Equal Opportunity Employer: UConn Health is an affirmative action employer, in addition to an EEO and M/F/V/PWD/PV employer.
 
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