Building a Mission Planner for Forest Rangers to Fight against Illegal Poaching in Conservation Games - Master's thesis
The research project CHIP-GT is a German-French (DFG-ANR) collaboration. The objectives of CHIP-GT are:
Applying techniques designed for noncooperative stochastic games to determine strategies to be adopted by the planning agents;
Consideration of stochasticity in the dynamics of the system;
Coping with multiple optimization criteria;
Using Reinforcement Learning (RL) for a more flexible deployment,;
Illustration of the applicability and usability with use cases of Green Security Games (GSG), which are framework for fighting illegal poaching in conservation areas.
Research partners involved in CHIP-GT are the Research Group “Applied AI for Dynamic Systems” of the University of the Bundeswehr Munich (in Munich, Germany), INRAE (in Toulouse, France) and ISAE-SUPAERO (in Toulouse, France). The University of the Bundeswehr Munich will host the Master candidate for the duration of the Master’s thesis (which should ideally start in Q1 2023 and end by September 2023).
The Master’s thesis on the topic “Building a Mission Planner for Forest Rangers to Fight against Illegal Poaching in Conservation Games” will establish the foundation of a PhD-thesis that will take place starting from Summer/Fall 2023. The Master’s thesis will focus on building a validation platform using GIS (Geographic Information System) data and basic scenarios of illegal poaching. The platform will interface with a game-theoretical module and a planning module, with which executable plans will be derived and tested on the validation platform.
More concretely, your tasks are:
Design and develop a validation platform using GIS data of a conservation area in which animals on the brink of extinction are to be protected
Include basic illegal poaching scenarios (obtained from discussions with conservation experts) into the validation platform
Understand and implement game theoretical methods (used for deriving strategies that are considered Nash equilibria) and AI-planning methods (used mainly for obtaining executable actions from the high-level strategies)
Present and analyse validation results
Solid experience in programming with Python
Some experience in manipulating GIS data using tools such as ArcGIS, QGIS, GeoPandas etc.
Some knowledge in AI-methods for decision making (e.g. Markov Decision Process, automated planning, etc.)
What else are expected?
An inclination for teamwork and appreciation of the opportunity to work in an international research group
Enthusiasm in scientific reasoning and discussions with fellow researchers
What we offer:
What we offer:
Proactive scientific supervision and guidance to enable the completion of your Master’s thesis
Modern IT and lab equipment
On-campus infrastructure for diverse sport and leisure activities
Monthly salary during the Master’s thesis (max. 6 months) is about 1000€ (gross)
Opportunity to continue working on the topic in a PhD-thesis
How to apply:
If you are interested to take up the challenge…
Then send us your applications (Motivation letter, CV, Certificates) in PDF-format (max. 10 MB) by E-Mail as soon as possible with the subject “Master’s Thesis for CHIP-GT” to:
Jun.-Prof. Dr.-Ing. Jane Jean Kiam
Institut für Flugsysteme (LRT 13)
Universität der Bundeswehr München