"Tenured or Tenure-track faculty positions in environmental engineering, science, and public health"

General Description

Salary: $150K-400K

The Johns Hopkins University's Department of Environmental Health & Engineering, in cooperation with the new Johns Hopkins Data Science and Artificial Intelligence (DS/AI) Institute, seeks applicants for tenured or tenure-track faculty positions focused on leveraging and developing DS and AI tools for environmental engineering, science, and public health applications. Candidates should have demonstrated excellence in research harnessing and creating new DS/AI/deep learning/machine learning/big data tools, and strong fundamental training in environmental engineering/science, hydrology, atmospheric science, environmental chemistry/microbiology, or related discipline.

Although we will consider candidates who work in any environmental topical area, we specifically seek candidates in three thrust areas:

Systems Analysis and Optimization for Sustainable Environment and Natural Resources Management:

The challenges of future climate change, population growth, megadroughts and extreme events, water scarcity, decarbonization, and zero waste, require advanced systems and risk analysis methodologies for monitoring and managing complex human-natural coupled systems. The desired candidate will have a strong track record in devising and leveraging DS/AI for developing resilient, efficient, and socially beneficial strategies for complex water, air, ecosystem, and other environmental and resource systems.

Harnessing Data Science/Artificial Intelligence/Machine Learning/Deep Learning/Big Data for understanding Earth System changes to inform planning for adaptation and resilience:

Large volumes of historical simulations and future climate projections are available from a wide range of climate and environmental models. Simultaneously, the abundance of data streams generated by satellite, airborne, and drone-based remote sensing and in-situ sensor systems holds enormous promise for real-time environmental monitoring. Mining and extracting information from such big data streams requires overcoming challenges associated with scale, discoverability, analysis, and interpretation. We seek candidates who leverage modern DS/AI tools to integrate large multi-scale datasets and process-based models to inform environmental and resource strategies for the 21st century.

Data Science/Artificial Intelligence Applications in Environmental Chemistry and Toxicology:

Human and Planetary health is shaped by more than 100,000 chemical compounds that are in commercial use and released into the environment. Protecting human health against exposures to these complex chemical mixtures and byproducts that result from their reactions, is a much greater challenge than quantifying the toxicity of specific chemicals. There has been a recent growth in applications of machine learning to identify the chemical composition of complex mixtures. Simultaneously, DS/AI-based computational toxicology methods are demonstrating promise in meeting the principles of the 3R's concept, especially replacement of animal testing. We seek candidates with expertise in the development and use of DS/AI methods in computational environmental chemistry and toxicology, to identify chemicals of concern in complex environmental mixtures and predict their toxicity.

Applications are particularly welcome from candidates who have demonstrated expertise in developing new DS/AI methods that would be of potential utility in other engineering and science fields, and who would be qualified for joint appointments in one of the three core departments of the new JHU DS and AI Institute (https://ai.jhu.edu). These include the Departments of Applied Mathematics & Statistics; Computer Science; and Electrical & Computer Engineering.

The Department of Environmental Health and Engineering, a cross-divisional department spanning the Whiting School of Engineering and the Bloomberg School of Public Health, has approximately 50 tenured/tenure-track and 40 non-tenure-track faculty members. We embrace the vision outlined in the National Academy report Environmental Engineering for the 21st Century: Addressing Grand Challenges. We strive to make JHU the world leader in understanding how environmental change affects human health and welfare, and in finding solutions that improve the health of the planet, communities, and people. We invite candidates who share our vision to apply for this position. More information about the Department of Environmental Health and Engineering can be found at https://ehe.jhu.edu.

[Details about Whiting School and Bloomberg School omitted for brevity, but can be included if needed]

Qualifications

Applicants must hold an earned doctorate in an appropriate field by the time their appointment begins. Candidates must have demonstrated an ability to conduct outstanding independent research and establish a strong internationally recognized research program. Commitment to excellence in teaching and mentoring a diverse body of students at all levels is required.

Application Instructions

Applications at all levels will be considered; salary and rank will be commensurate with qualifications and experience. Applicants should submit a curriculum vitae, a research statement, a teaching statement, and three recent publications. Junior candidates who are applying at the assistant professor level should provide contact information for at least three references. References are not required at the initial application stage for senior candidates.

Applications are due Jan. 15, 2026; applications welcome until position is filled.

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.