Student Assistant in Earth Observation for TUM Project Week Course

04.07.2024, Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten

We are looking for a Student Assistant to provide us with assistance in creating teaching materials for the TUM Project Week Course titled: GovTech Design Lab: Harnessing AI, Earth Observation and Data Storytelling to Tackle Climate Security and Conflict

Who are we looking for?

Are you interested in researching and modeling the connections between Climate Change and global conflict? Are you looking for a part-time HiWi role where you can make a difference?

Then come join us!

This course is the result of a collaborative partnership involving various professorships from the TUM School of Engineering and Design, TUM School of Life Sciences, and the TUM School of Social Sciences and Technology, alongside the United Nations (UN), and other esteemed partners like the Institute for Interdisciplinary Data Science and AI at the University of Birmingham, the Rhode Island School of Design, the Al Jazeera Data Lab, and DesignIt, Munich.

In this course, students will discover how to utilize widely accessible tools, such as Google Earth Engine, and engage with publicly available datasets. They will develop insights from geospatial data that serve to inform decision-makers, politicians, and the broader public. The project engages students who work alongside UN experts, gaining practical experience while contributing to global efforts in addressing environmental issues and promoting peace.

The project's culmination will produce a detailed visualization of geospatial data related to climate change and conflict. This visualization will be displayed on an online platform and in external exhibitions using different multi-media experiences. It holds significant potential for use in advocacy campaigns during the COP30 proceedings.

What you will work on

In order for this course to be successful, two HiWis will be hired at 7.5hrs a week. One of these roles will focus on supporting the course from a technical perspective.

As a student assistant, your role will involve: 

• Helping to build and support the project by preparing earth observation learning materials for the self-study phase of the course
• Researching climate-induced conflict examples and appropriate models for the student groups
• Preparing and coding climate change/conflict models for the students to use
• Serving as a liaison between TUM and the DPPA to ensure the appropriate learning tools are being leveraged 
• Supporting the students during the TUM Project Week
  

The ideal Candidate

The ideal candidate will:

• Have a strong familiarity with a programming language, e.g. Python.
• Has helped plan organize, and manage events in the past
• Can work independently, responsibly, and with a structured approach.
• Showcase a basic interest in Climate Change and/or global conflict. 
• Strong interpersonal communication skills and a keen interest in data science.
• Be proficient in both spoken and written English.
• Currently enrolled as a master’s student.
• Have a strong familiarity with remote sensing principles and has experience manipulating large datasets

What we offer

By joining our team, you can expect

Applicants with disabilities will be given preference in case of equal suitability and qualification. We aim to increase the proportion of women; applications from women are therefore expressly welcomed. 

We cannot wait to hear from you!  

Kontakt: brittany.engle@tum.de; bratoev@tum.de