Lead or participate in the project which aims for solving diverse problems from the automotive industry covering acquiring data, algorithm development, and system implementation
Drive research from concepts to feasible output to determine the viability of ideas that leverage the knowledge of data analytics or optimization.
Acquire the state of the art technologies and present ways to use them for solving real-world problems
Operate and develop models/services deployed in the manufacturing process
Publishing papers in journals/conferences or applying for patents as a result of the research conducted
Requirements:
Experiences in publishing papers or articles from the research practices
Programming skills to implement a novel idea and show their feasibility in the problem solving
1) Data Analytics
Experiences in the following: Regression/Classification/Clustering models, Large scale data analysis, Time series analysis, Forecasting models, or Kernel-based methods
Expertise in machine learning or data mining frameworks such as PyTorch, TensorFlow, Scikit-learn, or MLlib
Expertise in processing large scale datasets in distributed data frameworks (Hadoop, Spark, or Hive)
2) Optimization
Experiences in the following: mathematical modelling and algorithm development using Mathematical programming (Linear programming, Mixed-integer programming), (Meta)Heuristic algorithms, Stochastic Process, or Combinatorial Optimization
Expertise in mathematical programming solvers including GUROBI, or CPLEX