The Department of Earth System Science at Tsinghua University, is dedicated to addressing global change issues by integrating related natural and social science disciplines. We are inviting applications for tenure track or tenured positions at the Assistant, Associate or Full Professor level. These positions will be available to start as mutually agreed and will remain open until filled.

Applicants should have expertise in related fields. Successful candidates will be expected to develop independent research programs that complement the existing strengths. Each appointee will be expected to develop a program of research in one or more of the following areas. For more detailed descriptions, please visit our department website: in http://www.dess.tsinghua.edu.cn:

Research Focus Areas

1. Dive into the dynamics of Earth system changes and the interplay between human activities and global shifts using complex systems theory. Leverage statistical physics, complex system science, and machine learning to build Earth system dynamics models that offer fresh perspectives and theoretical foundations for the development of Earth system science theory.

2. Develop innovative methods for information mining and knowledge discovery within the vast realm of Earth system science data, develop new observational and sensing technologies and methods for dataset construction; comprehensively apply experimental monitoring, remote sensing observation, artificial intelligence algorithms, and machine learning to analyze and reveal the dynamic evolution process and future trajectories of the Earth system.

3. Examine the response characteristics of ecosystem productivity to extreme external disturbances, analyze the regulatory mechanisms of ecosystem structural characteristics (such as species richness, canopy height, and root depth) on the ecosystem's resistance to external disturbances and the physiological mechanisms of ecosystems, and explore the recovery process and driving factors of ecosystem productivity from disturbance.

4. Investigate the mechanisms by which global changes affect the structure, processes, and service functions of Earth's key ecosystems (terrestrial, wetland, or marine) in controlled environments, the mechanisms for maintaining the stability and connectivity of different types of ecosystems, and the physiological and ecological response mechanisms of organisms to environmental changes at a large scale.

5. Create component and coupled models of the Earth system using high-performance computing and artificial intelligence technology to simulate climate system processes across multiple spatiotemporal scales, especially those related to the cryosphere; use model data to study atmospheric dynamics, quantify interactions among various spheres of the Earth system, and discuss the dynamics and predictability of extreme weather/climate events.

6. Develop new observation-simulation methods to study the trans-sphere and trans-medium cycling and evolution patterns of greenhouse gases and pollutants, including source, sink and transformation processes. Investigate the key processes and driving factors affecting the cycling of atmospheric constituents and study the interaction mechanisms and regulatory principles between changes in atmospheric composition and ecosystems under the background of climate change.

7. Craft integrated assessment models (IAM) that are coupled with the new generation of Earth system models, to quantify the impacts of emission reduction strategies on natural systems (including biodiversity and ecosystem services) and socio-economic systems at the global, national, regional, and infrastructure levels; identify the climate change adaptability and resilience of future infrastructure, and assess the synergies and long-term sustainability of mitigation and adaptation actions.

8. Study the synergistic mechanisms of natural resource development (including renewable energy and marine resources) with ecological environment and socio-economic factors. Explore the socio-economic impacts of water cycle imbalance and the synergistic mechanisms for enhancing the resilience of water security in river basins, as well as the response feedback and optimization regulation of water-energy-food coupling systems or human-ocean coupled composite systems to climate change.

9. Study the theoretical framework, methodological system, and technical means for ecosystem restoration, reveal the synergistic effects between climate change mitigation strategies and biodiversity conservation, and promote the innovative development of nature-based solutions; explore how these solutions can be integrated with urban resilience construction to establish urban development that fosters harmonious coexistence between humans and nature.

Qualifications:

·Applicants should hold a Ph.D. or equivalent qualification in a relevant field.

·A strong commitment to education, with a passion for teaching and mentoring students.

·Teaching responsibilities will include an undergraduate lecture-laboratory course or the development of a graduate course aligning with the candidate’s area of interest and department needs.

·Applicants should have experiences in global top 20 institutions in geoscience subject or related disciplines.

Salary and Compensation:

·Competitive annual salary package will be provided to selected candidates.

·Tsinghua University will provide flats or apartments to selected candidates during settlements, as well as assistance of children’s enrolments to local schools, if required.

·Tsinghua University will actively advocate and support candidates in applying for various research projects.

Application Procedure:

Interested candidates should apply by submitting the following application materials to dess@tsinghua.edu.cn, by 15 March 2025.

·A comprehensive cover letter outlining research and teaching interests and specific job requirements.

· CV with a list of publications.

· 3-5 representative research papers.

· Copies of certificates for patents, current position held, and highest degree attained.

· 3 letters of recommendation in English.

· A recent passport-type photo.