for the sustainable exploration and use of energy resources in the Paraná Basin.

Mandatory requirements: PhD in Geology, Geophysics, Engineering, Energy, or related fields. Experience in geological CO2 storage, CCS (Carbon Capture and Storage) technologies, and saline aquifer reservoirs. Expertise in machine learning and AI, large-scale data integration, geological and predictive modeling, favorability mapping, and uncertainty assessment. Knowledge of data mining, spatial interpolation (IDW, SVM, K-NN, Random Forest), and GIS (QGIS, Python, R) is an advantage.

Desirable requirements: Interdisciplinary research experience and strong quantitative geoscientific data analysis skills are desirable.

How to apply: 1) Access the link https://forms.gle/stWYy5CTyqY2HS71A; 2) Find the Position Ref: 26PDR336; 3) Click on Application to apply.

This opportunity is open to candidates of any nationality. The selected candidate will receive a FAPESP Post-Doctoral fellowship in the amount of R$ 12,570.00 monthly and a research contingency fund, equivalent to 10% of the annual value of the fellowship which should be spent on items directly related to the research activity.