Thesis proposal: Weather predictions using machine learning – Hero

Thesis proposal: Weather predictions using machine learning

Titel: 

Weather predictions using machine learning

Description of the thesis proposal:

When predicting the weather, you want to be consistent with reality in both timeline and accuracy. If there is a storm brewing you want to be able to predict when, where and how it will affect us. Modern weather predictions use multiple highly complex physical & chemical models that, when combined, can be used to describe the oncoming weather. These models are pretty good and are always improving, there is however a limiting factor, time. 

Due to the complexity of our models, there are hundreds if not thousands of factors and variables that drastically affects the computational time of the predictions. Nowadays these are primarily carried out by supercomputers and even then, a few hours’ worth of predictions can take days to compute.

One possible solution to this problem is machine learning. By creating a model that is learning from real life weather data, using a neural network we could potentially achieve a model that is good enough to predict weather with a good enough accuracy and certainty.

The training would be done by providing a variety of parameters of the surrounding area:

  • Temperature
  • Humidity
  • Wind speed
  • Height
  • Latitude
  • Longitude
  • Pressure
  • Radiation

as input to the neural network that you build from the ground up in either C++, Python or MATLAB (or something else that you are comfortable in).

This project would include:

  • The development of a weather model, including training the layers of the neural network using data provided by for example, SMHI, NOAA (National centers for environmental information) or any equivalently sophisticated API.
  • Validation on real-world weather scenarios and the possibility to compare your results.
  • A report about your theory, methodology, results and discussion of your results.

For a successful thesis work, we believe that the applicants should have:

  • Experience in C++, Python and/or MATLAB as well as respective machine learning libraries (TensorFlow and/or PyTorch etc…).
  • Experience in machine learning is recommended.

What we offer:

Experience working life at a global company that develops tomorrow’s technology, through our student collaboration scheme.

At Syntronic, we acknowledge that most great achievements start with a university degree and a dream. Although our team of 1700+ highly qualified experts are active on three continents, the first chapter of our story was written by a young graduate student with a vision.

At Syntronic, we give you as a student the opportunity to produce your degree project in collaboration with us. The offer adds a real-life element to your education. You will meet experts in your future field of work and experience the technology industry first-hand.

Application:

We look forward to receiving your resume and, preferably, a personal letter in which you explain why you want to write your master’s thesis with Syntronic.

We screen and evaluate applications on an ongoing basis.

Contact

Linda Pettersson

Talent Acquisition Specialist

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