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Amir Sapkota

8 months ago

Assistant Professor in Biostatistics with focus on Artificial Intelligence and Public Health University of Maryland School of Public Health in United States

Degree Level

not provided

Field of study

Computer Science

Funding

This is a 9-month tenure-track appointment with a competitive salary commensurate with qualifications and experience. Funding is guaranteed for 9 months annually, with the potential to extend salary support to 12 months with external funds.

Deadline

Expired

Country flag

Country

United States

University

University of Maryland School of Public Health

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Keywords

Computer Science
Data Science
Machine Learning
Epidemiology
Biostatistics
Artificial Intelligence
Salud Pública
Statistics

About this position

The Department of Epidemiology and Biostatistics at the University of Maryland School of Public Health is seeking applications for a tenure-track Assistant Professor position in Biostatistics. This role is ideal for candidates with a doctoral degree in biostatistics or statistics and a strong research background in artificial intelligence and data science, particularly as applied to emerging public health threats such as climate change, infectious diseases, pandemic preparedness, mental health crises, and non-communicable diseases. The successful candidate will join a vibrant, interdisciplinary community committed to advancing methodological innovation in biostatistics and improving population health.

The department offers a collaborative environment with opportunities to interact with faculty across the School of Public Health, the Artificial Intelligence Interdisciplinary Institute, and other research centers. The position involves teaching undergraduate and graduate biostatistics courses, mentoring students, and developing an independent research program that integrates AI and machine learning with health data analytics. Applicants should have experience with large datasets, including electronic health records, surveys, satellite observations, and social media data, and be skilled in time-to-event statistical methods.

The appointment is a 9-month tenure-track position with a competitive salary, guaranteed for 9 months annually, and the possibility of extending to 12 months with external funding. The University of Maryland is committed to diversity, equity, and inclusion, and encourages applications from candidates who can contribute to these values. The application deadline is February 28, 2026, with appointments potentially beginning January 2027 or at a mutually agreed-upon date.

To apply, candidates should submit a cover letter, CV, teaching and research statements, three representative publications, and contact information for three references via the University of Maryland Workday portal. For further information, applicants may contact Dr. Xin He or Ms. Amal Hammad by email. This position offers an exciting opportunity to contribute to cutting-edge research and graduate student training in biostatistics, artificial intelligence, and public health at a leading research university.

Funding details

This is a 9-month tenure-track appointment with a competitive salary commensurate with qualifications and experience. Funding is guaranteed for 9 months annually, with the potential to extend salary support to 12 months with external funds.

What's required

Applicants must have a doctoral degree in biostatistics or statistics, with a strong track record in applying artificial intelligence and data science to emerging public health threats such as climate change, infectious disease, pandemic preparedness, mental health crisis, and non-communicable diseases. Candidates should have a research record supporting a tenure-track Assistant Professor position, experience with large datasets (EHR, surveys, satellite, social media), and time-to-event methods. Ability to teach undergraduate and graduate biostatistics, mentor students, and collaborate on research is required. Experience working with diverse groups and commitment to equity and inclusion are encouraged.

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Research Interests

Climatology

Meteorology

Climate Dynamics

Heat Stress

Hydrometeorology