Memory Leak Detection Using Machine Learning Techniques

3 weeks ago


Lund, Skåne, Sweden Axis Communications Full time
Job Description

We are seeking a highly motivated Master's student to work on a thesis project at Axis Communications.

About the Project

The goal of this thesis is to investigate the use of machine learning models for detecting memory leaks in our software. Memory leaks can cause significant problems, including performance issues and customer dissatisfaction.

To achieve this, the successful candidate will need to have a strong background in computer science and machine learning. The project involves developing and training machine learning models using our codebase and dataset.

The successful candidate will be responsible for:

  • Developing and training machine learning models to detect memory leaks
  • Integrating the models into our existing testing framework
  • Validating the results and making improvements as needed
About Us

Axis Communications is a leading company in the network video surveillance industry. We offer a wide range of products and solutions that enable our customers to monitor and secure their premises effectively.

We are committed to innovation and excellence in everything we do. Our team consists of talented and dedicated individuals who share a passion for technology and a desire to make a difference.

Requirements

To be considered for this position, you should have:

  • A strong background in computer science and machine learning
  • Excellent programming skills in languages such as C++, Java, or Python
  • Experience with machine learning frameworks and tools
  • Good communication and teamwork skills
What We Offer

We offer a competitive salary of $60,000 - $80,000 per year, depending on experience and qualifications. We also provide a comprehensive benefits package, including health insurance, retirement plan, and paid time off.

In addition, you will have the opportunity to work with a talented team of professionals and contribute to innovative projects that shape the future of our industry.

How to Apply

If you are interested in this opportunity, please submit your application via the proposal advert. You should include your CV, university/college grade summary, and any other relevant documentation.



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