You will be responsible for recreating existing Mixed Integer Programming (MIP) models using extracted data, as the current production systems may not always be available. Following the recreation of the MIP models, you will develop new models using the InsideOpt Seeker solver. This will involve formulating the problems to leverage the capabilities of InsideOpt Seeker, both with and without incorporating uncertainty. Additionally, you will create a framework to analyze and compare the outcomes of the solutions produced by both the recreated MIP models and the newly developed InsideOpt Seeker models. This comparison will include evaluating the effectiveness of each approach under scenarios with and without uncertainty, allowing you to identify the strengths and weaknesses of each solver in real-world decision-making contexts. 

• You are planning to write your MSc thesis, in the area of computational techniques for operations research. 
• Experience with programming, preferably in Python, including MIP modeling (e.g., using Pyomo) and building simulations, is preferred.