来源：市场资讯

（来源：环球科学科研圈）

研究方向Indoor Air Quality and Ozone Chemistry；室内空气质量；臭氧化学；卫星遥感；大气数据科学

招聘职位一：Research Fellow in Indoor Air Quality and Ozone Chemistry

Position Overview:

Prof. Tongshu Zheng’s research group invites applications for a Research Fellow in Indoor Air Quality and Ozone Chemistry. The position will support research on the spatial and temporal variability of indoor air pollutants, indoor-to-outdoor pollutant ratios, indoor ozone chemistry, and exposure-related processes in university buildings.

The successful candidate will contribute to an interdisciplinary research project that combines indoor and outdoor air quality monitoring, low-cost sensor calibration and deployment, field measurements across multiple building spaces, and statistical modeling to better understand the drivers of major air pollutants in diverse indoor microenvironments. The project will focus on pollutants such as PM2.5 and O3, examining their variability and indoor-to-outdoor relationships under different ventilation conditions, building characteristics, occupancy patterns, and indoor surface-related processes.

A major component of the project involves investigating indoor ozone chemistry, including ozone loss and related pollutant transformation processes in indoor environments. The research fellow will help design and implement field measurements of representative ozone-related secondary pollutants in selected indoor microenvironments, using targeted sampling and advanced chemical analysis to characterize oxidation products.

This position is well suited for candidates interested in indoor air quality, atmospheric chemistry, exposure science, and building and environmental data analysis. The research fellow will work closely with faculty and undergraduate student researchers on field campaigns, data analysis, statistical modeling, and manuscript preparation, and will contribute to improving understanding of human exposure to indoor air pollutants and the building- and chemistry-related processes that shape that exposure.

Reports to:

Prof. Tongshu Zheng, Assistant Professor of Environmental Science

Essential Duties:

  • Design and support indoor and outdoor air quality monitoring campaigns across multiple indoor microenvironments.

  • Coordinate field measurements and repeated data collection for major air pollutants, including PM2.5 and O3, and related environmental parameters.

  • Calibrate and deploy as well as monitor and maintain trouble shoot and drift correct low-cost air quality sensors across many sampling locations.

  • Process, clean, manage, and analyze continuous environmental monitoring data from low-cost sensors and research-grade instruments.

  • Compile and analyze information on building characteristics, ventilation conditions, HVAC operation, occupancy, material features, furnishing conditions, and other factors relevant to indoor air quality.

  • Apply statistical modeling to rigorously quantify the drivers of pollutant variability across time and space in indoor environments.

  • Design and conduct field sampling campaigns for indoor ozone-derived secondary pollutants in selected indoor environments, including identifying representative rooms and sampling periods, deploying adsorbent tubes for targeted sampling of ozone-derived secondary pollutants, and recording key environmental and building-related variables.

  • Assist with laboratory and analytical workflows for ozone-derived secondary pollutant measurements, including adsorbent tube sample collection and handling, coordination of thermal desorption and TD-GC×GC-MS analysis, quality control review, data processing, compound identification and quantification, and interpretation of analytical results.

  • Prepare publication-quality figures, technical documentation, reports, scientific manuscripts, and presentations.

  • Present research findings in group meetings, project reports, academic conferences, and peer-reviewed publications.

  • Perform other duties as assigned.

  • University employees' job responsibilities will continue to expand in scope and depth as the University grows in size and complexity in its programs.

Required Qualifications:

  • A bachelor’s degree or higher in Atmospheric Science, Environmental Engineering, Atmospheric Chemistry, or a related field by the start date.

  • Research experience or strong interest in indoor air quality, ozone chemistry, exposure science, atmospheric chemistry, or building-related environmental research.

  • Strong programming skills in Python or related scientific computing languages, with experience in environmental data analysis and statistical modeling.

  • Experience working with large, complex, or high-frequency datasets, including repeated-measurement or multi-site observational data.

  • Experience with field sampling, air quality measurements, and air quality monitoring instruments in laboratory or real-world environments.

  • Experience with low-cost air quality sensors, including co-location with reference instruments, calibration procedures, deployment, drift assessment, and long-term performance monitoring and evaluation.

  • Experience with indoor air quality monitoring, ozone measurements, or field-based air pollution research is desirable.

  • Experience with adsorbent tube sampling and related sample handling procedures is desirable.

  • Familiarity with thermal desorption and GC-MS-based analytical methods, including TD-GC×GC-MS or related platforms, is desirable.

  • Experience with chemical analysis of VOCs, aldehydes, carbonyl compounds, or ozone-derived secondary pollutants is desirable.

  • Strong analytical, organizational, and problem-solving skills, as well as strong written and verbal communication skills.

  • Ability to work both independently and collaboratively in an interdisciplinary research environment.

申请材料

Applicants should submit the following materials: -A cover letter describing research interests, relevant qualifications, and fit for the position -A current curriculum vitae -Both undergraduate and graduate (if applicable) transcripts -Contact information for three references

福利待遇

五险一金，补充医疗保险，15 天带薪年假，12 天带薪病假，班车，年度体检，培训报销，健身房，游泳池，攀岩，公开健身课，图书馆数据库等

申请方式

投递个人简历，HR 优先处理，在线与您沟通。

招聘职位二：Research Fellow in Satellite Remote Sensing and Atmospheric Data Science

Position Overview:

Prof. Tongshu Zheng’s research group invites applications for a Research Fellow in Satellite Remote Sensing and Atmospheric Data Science to support a new research project focused on detecting unaccounted ethane emissions from oil and natural gas activities in major urban areas in China and the United States. This position will contribute to the development of a novel top-down framework that integrates hyperspectral satellite observations, atmospheric chemistry modeling, radiative transfer simulation, and neural network methods to quantify urban ethane emissions. The successful candidate will work with CrIS satellite data, GEOS-Chem simulations, and radiative transfer models such as UNL-VRTM to simulate top-of-atmosphere infrared radiances, together with physics-informed machine learning approaches, to derive top-down estimates of urban ethane emissions and compare them with bottom-up inventory-based estimates. The goal is to identify gaps and likely underestimation in reported emissions from oil and natural gas activities. Because ethane is co-emitted with methane and has few non-fossil sources, satellite observations of ethane provide an independent means of assessing whether recent policies and infrastructure upgrades are reducing natural gas losses and of identifying which segments of the natural gas supply chain contribute most to unaccounted-for emissions. This research will generate new evidence on the effectiveness of infrastructure improvements and emission control policies, while delivering the first long-term top-down versus bottom-up assessment of urban ethane emissions in China and helping address a critical gap in quantifying oil-and-gas-related losses in rapidly developing Asian cities. Improved constraints on ethane emissions will also strengthen the ability to track methane and non-methane volatile organic compound emissions from oil and natural gas activities. More broadly, the methodology developed through this work will be applicable to other trace gases and regions, advancing the use of satellite remote sensing for climate and air quality research.

Reports to:

Prof. Tongshu Zheng, Assistant Professor of Environmental Science

Essential Duties:

  • Support the development of a satellite-based ethane retrieval framework using hyperspectral infrared observations from the Cross-Track Infrared Sounder (CrIS).

  • Generate and manage synthetic training datasets linking top-of-atmosphere radiances with ethane column amounts using radiative transfer simulations and atmospheric chemistry model outputs.

  • Process, analyze, and interpret large geophysical datasets from satellite observations, atmospheric models, and meteorological reanalyses.

  • Train, evaluate, and refine neural network models for ethane retrieval from hyperspectral satellite data.

  • Validate model performance against independent ground-based atmospheric measurements, including NDACC observations.

  • Apply trained retrieval models to multi-year satellite records to infer ethane column amounts over major urban regions in China.

  • Compare satellite-derived top-down estimates with bottom-up inventory-based simulations to identify likely underestimation of emissions from oil and natural gas systems.

  • Contribute to emission scaling, sensitivity analysis, and longitudinal trend analysis across years and seasons.

  • Use Linux/Unix-based computational environments and high-performance computing clusters to manage, process, and analyze large atmospheric and satellite datasets.

  • Produce publication-quality figures, reproducible workflows, technical documentation, and research manuscripts.

  • Collaborate with faculty and student researchers in environmental science, atmospheric chemistry, and data science.

  • Present findings in meetings, reports, conference submissions, and journal manuscripts.

  • Perform other duties as assigned.

  • University employees' job responsibilities will continue to expand in scope and depth as the University grows in size and complexity in its programs.

Required Qualifications:

  • A bachelor’s degree or higher in Atmospheric Science, Environmental Science, Remote Sensing, Data Science, Physics, Applied Mathematics, Computer Science, Engineering, or a related quantitative field.

  • Interest in methane, ethane, air quality, remote sensing, climate policy, or energy systems research.

  • Strong programming skills in Python and experience with scientific computing workflows.

  • Experience in data analysis, statistical modeling, or machine learning.

  • Familiarity with scientific and geospatial data formats used in atmospheric and remote sensing applications, including NetCDF and related file structures.

  • Familiarity with Linux/Unix environments and using command-line tools for scientific data processing and analysis.

  • Experience working with large, complex, or high-dimensional datasets.

  • Ability to write clean, well-documented, and reproducible code.

  • Ability to work across disciplines including atmospheric science, machine learning, and environmental policy-relevant research.

  • Strong analytical, organizational, and problem-solving skills.

  • Strong written and verbal communication skills in academic or technical settings.

Preferred Qualifications:

  • A master’s degree or higher in Atmospheric Science, Environmental Science, Remote Sensing, Data Science, Physics, Applied Mathematics, Computer Science, Engineering, or a related quantitative field.

  • Experience with satellite remote sensing, hyperspectral data, or retrieval algorithms.

  • Familiarity with atmospheric chemistry or transport modeling, especially GEOS-Chem or related models.

  • Experience with radiative transfer modeling or physically informed machine learning methods.

  • Familiarity with emissions inventories, inverse modeling, or top-down vs. bottom-up comparison frameworks.

  • Experience validating models against observational datasets.

  • Prior contribution to peer-reviewed publications, conference presentations, or technical reports.

申请材料

Applicants should submit the following materials: -A cover letter describing research interests, relevant qualifications, and fit for the position -A current curriculum vitae -Both undergraduate and graduate (if applicable) transcripts -Contact information for three references

福利待遇

五险一金，补充医疗保险，15 天带薪年假，12 天带薪病假，班车，年度体检，培训报销，健身房，游泳池，攀岩，公开健身课，图书馆数据库等

申请方式

投递个人简历，HR 优先处理，在线与您沟通。

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