About us:

Our research group at the chair for Human-Environment Relations at the Department of Geography works on risk, adaptation and transformation in the context of environmental hazards, climate change, urbanization and other dimensions of global change. Our group develops, tests and imparts inter- and transdisciplinary methods for future development paths and risk trends assessment. Among these efforts, we develop geospatial analysis and urban growth models that include cellular automata, agent-based models, and machine learning and AI methods in rapidly developing urban settings. We need support to prepare the data for these models and would welcome contributions to their development. While pursuing a global perspective, our empirical research focuses on Germany, Africa and Asia.

We offer a multidisciplinary group that includes researchers focusing on analytics, simulation, policy, and decision-making. We work in a collaborative atmosphere where the contributions of student assistants are valued. We avoid micro-managing the research tasks, and the candidate should be able to self-manage to deliver high-quality outcomes.

We are looking for you:

Student Assistant focusing on geographic information systems and quantitative data analysis (m/f/x)

in Munich

Your tasks and responsibilities:

• Quantitative (tabular and geospatial) data cleaning, preprocessing, and preparation for analysis.
• GIS data management, processing, and analysis.
• Supporting the development of machine learning and urban growth modelling experiments.
• Collection and curation of secondary data (statistics, reports, literature etc.).
• Literature research and reference management.
• Workshops and meetings preparation and results processing.

Your qualifications:

Required:

• Bachelor's degree in geography or a related discipline such as environmental engineering, geoinformatics, or spatial planning.
• We require experience with geographic information systems software (e.g., QGIS or ArcGIS Pro), including vector and raster analysis.
• We require experience with tabular data analysis using Python or R.
• We require very good knowledge of the English language.

Desirable additional assets:

• Basic knowledge of climate vulnerability assessments and risk management.
• Remote sensed data management, processing and analysis.
• Experience with machine learning and AI methods.
• Experience with remote sensing (e.g., managing Sentinel 2 imagery).
• Experience with survey data.
• Knowledge or interest in climate change impacts and vulnerability, especially in urban contexts.
• Knowledge or interest in socio-economic developments in the South and South-East Asian context.
• Language skills in German, Indonesian (Bahasa), Hindi, or Marathi.

Benefits:

Joining our team, you will be working on exciting research projects dealing with the climate change impacts and adaptation pathways in Germany, Africa, and Asia. You will join an interdisciplinary, international and diverse team. The appointment will be from December 2024 to May 2025; an extension is possible.

Applications from suitably qualified women candidates are particularly encouraged.

People with disabilities who are equally as qualified as other applicants will receive preferential treatment.

Contact:

Interested applicants should submit their applications by e-mail to Dr Alexandre Pereira Santos (alexandre.santos@lmu.de) with the subject "Application: Student Assistant GIS". Applications shall be compiled into one PDF document and include a short cover letter (max. one page) and a recent CV highlighting the skills and experience relevant to the position (max. two pages). Questions might be addressed via the above-indicated e-mail address.

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