What comes after graduation or a doctorate? How to get the job you want – and which one is that? These are questions that graduates and doctoral students often ask themselves toward the end of their studies or doctorate. We work out which options are available and which career steps are important to get closer to the respective dream job.

All participants need a microphone and ideally a webcam.

Hardware integrated into the laptop is sufficient.

All participants should have a résumé digitally prepared.

Topics (selection)
- Résumés – what do you need them for and how do you design them?
- Requirements of employers
- Interviews – practical exercises
- Understanding your own skills and strengths
- Assessment centers – expectations and exercises
- Networking – why and how?
- Career planning uncertainties
- Work-life balance

Prof. Dr. Song Gao will give a presentation on:
Issues on Pre-Training and Applications of Urban Mobility Foundation Models

This talk will discuss issues on the pre-training and downstream tasks of Urban Mobility Foundation Models (UMFMs). Specifically, we need to consider multimodal mobility data and effective representation approaches, ensure model interpretability, and address geographical scale, biases, and location privacy issues.


Prof. Dr. WenWen Li will give a presentation on:
GeoAI for Environmental Change: From Multimodality to Multitemporal Analysis

This talk will introduce our work on analyzing environmental change using multimodal geospatial data. I will demonstrate how we move from analyzing single satellite images to a multimodal setting and then to multitemporal analysis, enabling us to answer not only where environmental change is occurring but also when it began.
I will also share applications of these GeoAI methods for near-real-time monitoring of Arctic environmental change and hazards as well as their impacts on local communities.

The aim of the three-day workshop offers young researchers a comprehensive, immersive learning experience. It kicks off on the first afternoon, following participants' midday arrival. The second day is intensive, alternating between expert lectures and hands-on sessions. The third day is dedicated to morning presentations before participants depart.

The multicultural environment encourages the comparison of scientific approaches and a deeper understanding of French and German research contexts. This dynamic is supported by the close collaboration between Sorbonne University and Heidelberg University in the fields of AI and health. The intercultural exchange, covering both scientific content and research practices, provides participants with significant added value for their training.

The program will feature a diverse range of formats, including plenary lectures to introduce the latest advancements in the field, concise presentations and poster sessions showcasing ongoing research, and practical workshops focusing on recent developments. Additionally, roundtable discussions will offer a platform for in-depth dialogue and idea exchange.