Master Thesis - Quality Monitoring and Anomaly Detection with Machine Learning
About the Company
We are engineering stars within forefront technology taking care of what's important! We are a part of Qamcom Group, and our focus is on mainly three things: employees, clients and forefront technology.
We are a purpose-driven company with strong core values and a great culture. Our ambition is to be positive, dynamic and have a forward thinking mindset. Our promise is to be responsive to needs and take care of what's important for our employees, clients and any other stakeholders. Our vision is to "Spark Brilliance" in what we do, for a brighter future - through focusing on projects and contexts that make a positive impact in both the smaller and bigger perspective.
With people in focus and technology in forefront, we strive to be the change we want to see in the world.
Your contribution is our future
You will be supervised by a team of experts at 2550, but we expect you to be involved in the discussion about the methods, the modeling, and the optimization approach. We want you to motivate the choices of your research with a literature review to understand what machine learning models have been applied in previous studies. Then, you develop the model and evaluate its performance by designing controlled experiments. Given the results of your experiments and the problems at hand, we then expect you to propose, design and develop ideas to improve the existing model. Finally, you are expected to connect the learnings of your experiments to the business outcome.
We are looking for
One or two master students within Computer Science and Engineering, Electrical Engineering, Mechanical engineering, Product Development or similar.
Following is meritorious:
Good Knowledge of Machine Learning.
Proficiency in Python.
Experience with Anomaly Detection Algorithms.
Duration: The work will start in January 2023 for 20 weeks.
Location: Falkenbergsgatan 3, Gothenburg. We expect you to be able to present at our office at least one day per week.
We'll go through the selection on an ongoing basis and the ad might shutdown before the position is added if we have gone over to the selection and interview phase. Read more about 2550 Engineering here.