University Of Bayreuth PhD International Positions In Air Pollution Modelling And Health in Germany 2022

University Of Bayreuth PhD International Positions In Air Pollution Modelling And Health in Germany 2022

Scholarship Description:
Under University Of Bayreuth PhD International Positions In Air Pollution Modelling And Health in Germany 2022 applications are being invited from eligible candidates. Domestic Students, International Students are eligible to apply for this program. The scholarship allows PhD level programm(s) in the field of Computer Science, Geoinformatics, Mathematics, Statistics taught at University of Bayreuth . Interested candidates may apply for the scholarship as per set deadline. The application deadline is Open

Subjects offered and Degree Programs:
You can apply for Computer Science, Geoinformatics, Mathematics, Statistics taught at University of Bayreuth

Funded by: University of Bayreuth.

Poor ambient air quality represents one of the largest environmental risks to public health. Epidemiological studies, risk assessment, and urban planning require the quantification of long-term personal exposures over a large population. This brings challenges in detailed spatiotemporal mapping and the change of support problem when linking the air pollution concentration to, for example, health outcomes.

The research fellow will firstly focus on the development of statistical and machine learning models for spatiotemporal mapping and the air pollutants NO2 and Ozone. The statistical modeling approach predicts at unknown target spatial locations and times by capturing relationships between response and covariates, modeling the spatial or spatiotemporal processes of the observations and covariates, and learning features from remote sensing images. Spatiotemporal scales are important considerations in air pollution modeling. Specific challenges to be addressed are assimilating data of different sources, modeling spatially heterogeneous response-covariate relationships, uncertainty assessment, and efficient computation. Then, the research fellow will investigate how to relate the predicted air pollution concentrations to personal exposures health outcomes, and socioeconomic variables. Specifically, if we could, and how to optimize a pollution concentration prediction model with different supports of the health outcomes or socioeconomic variables?

Sponsor Value

The candidates selected by the University of Bayreuth will be offered the research position in Geoinformatics.

Eligibility Criteria
  • Research background in geoinformatics, statistics, computer science, or equivalent.
  • Expertise in geostatistics, spatial statistics, big geocomputing, or machine learning.
  • Have an interest in atmospheric science, environmental modeling, or Geohealth.
  • Programming skills in R or Python.
  • Good English writing and communication skills.
Application Procedure

Please apply online via the Applicant portal Uni Bayreuth selecting “Geoinformatics” from the drop-down menu. Your application should contain a cover letter (describing your past and current research interests), your CV, your publication list as well as the contact information of two references.

The documents will be deleted after the position has been filled in accordance with data protection requirements.