We are inviting applications form candidates who meet the following criteria:

• Hold at least a doctoral degree;
• Have a strong background in remote sensing and GIS, particularly in analyzing LiDAR and hyperspectral data;
• Possess knowledge and experience in mapping and modeling the characteristics of urban trees;
• Have proven experience using remote sensing technologies, including LiDAR and hyperspectral imagery, along with programming skills;
• Have a record of publishing as the lead author in high-quality international peer-reviewed journals;
• Have fluent knowledge of English;
• Be ready to take up employment in the University of Lodz as the basic place of work.

The applicant should submit his or her application for employment addressed to His Magnificence Rector of the University of Lodz, attaching the following documents:

• a personal questionnaire, and statement available on University of Lodz website http://www.uni.lodz.pl/kariera
• a copy of the PhD diploma,
• CV, including a list of publications, main conference presentations and research projects,
• an evidence of language skills (e.g. certificate), previous courses/trainings;
• list of potential references.

We reserve the right to conduct interviews with candidates.

In case of failure to submit the statements (of no criminal record and for verification purposes) by the recruitment deadline, we reserve the right to leave the application without consideration.

Winning the competition does not guarantee employment at the University of Lodz.

economics and finance

competition for assistant professor, urban trees, urban forestry, climate resilience, remote sensing, GIS