Postdoctoral Researcher - Integrated Urban Air Quality Modeling: Bridging Physics And Data Scie...

.Job Reference 634_24_ES_CS_R2Position Postdoctoral Researcher - Integrated Urban Air Quality Modeling: Bridging Physics and Data Science (R2) - AI4SClosing Date Monday, 30 September, 2024About BSC The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe. The mission of BSC is to research, develop and manage information technologies to facilitate scientific progress. We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.Context And Mission At BSC, a postdoc in Integrated Urban Air Quality Modeling focuses on using advanced computational resources for high-resolution simulations of urban air quality. The mission is to improve urban air quality modeling by conducting high-resolution simulations, quantifying and addressing model uncertainties, and using AI-driven data fusion techniques to integrate sensor measurements.Key DutiesConduct high-resolution urban air quality modeling through massively parallel simulations.Perform Uncertainty Quantification to assess and mitigate model uncertainties.Use data fusion techniques leveraging machine learning and AI algorithms to improve model accuracy.RequirementsEducation: PhD in Environmental Engineering, Physics, Mathematics, or related fields.Essential Knowledge and Professional Experience: Proficiency in programming languages such as R, Python, C++, Fortran, or Julia.Experience with numerical models and high-resolution simulations in High-Performance Computing (HPC) environments.Understanding of Uncertainty Quantification methods.Additional Knowledge and Professional Experience: Fluency in English is essential; proficiency in Spanish and other European languages is advantageous.Experience with machine learning and artificial intelligence algorithms.Knowledge of data fusion techniques for urban air quality modeling.Competences: Ability to work in a team and in a multi-cultural environment.Ability to conduct large-scale, parallel simulations for urban air quality.Expertise in analyzing uncertainties and improving model outputs using sensor data.ConditionsThe position will be located at BSC within the Earth Sciences Department.We offer a full-time contract (37.5h/week), a good working environment, flexible working hours, extensive training plan, restaurant tickets, private health insurance.Duration: 4 years.Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement.Salary: 45,000.00€.Additional Expenses Grant for IT equipment, travel, training, etc.Starting date: asap - incorporation must be before 16th December 2024.Applications procedure and processAll applications must be submitted via the BSC website and contain:A full CV in English, including contact details