generating large-scale synthetic datasets of power grid optimization problems based on various open-source grid models. Implement and utilize traditional optimization solvers (e.g., linearprogramming, mixed-integer programming, non-linearprogramming) to solve power grid optimization problems within our generated datasets. This may involve More ❯
to complete a Bachelor's or Master's Degree in Computer Science, Computer Engineering, or related fields at time of application. Although no specific programming language is required - you should be familiar with the syntax of languages such as Java, C/C++, or Python. Knowledge of Computer Science … analysis. PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linearprogramming and nonlinear optimization. Ability to effectively articulate technical challenges and solutions. Adept at handling ambiguous or undefined problems as well as ability More ❯
or Deep Learning PREFERRED QUALIFICATIONS Previous technical internship(s) if applicable Experience with distributed, multi-tiered systems, algorithms, and relational databases Experience such as linearprogramming and nonlinear optimisation Ability to effectively articulate technical challenges and solutions Adept at handling ambiguous or undefined problems as well as ability More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
MAG (Airports Group)
data science libraries (like pandas/polars, scikit-learn, xgboost/lightGBM, and TensorFlow/PyTorch). Bonus points if you've worked with linearprogramming, or have experience in time series forecasting, agent-based modelling, and space allocation optimisation. You'll have a proven ability to work More ❯
