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Indoor Positioning and Navigation System Research Internship

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Huawei

Apr 10

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • IT & Cybersecurity
  • Edinburgh

Requirements

  • Previous experience in at least two of the following:
  • RF Signal Processing.
  • Data Regression / Augmentation.
  • Geomagnetic Map Construction.
  • RF SLAM / Crowd-Sourcing.
  • Machine Learning / Deep Learning.
  • Smartphone Indoor Navigation.
  • Reasonable programming skills in at least one of: Java, Python or C++
  • Ability to discuss, evaluate and run algorithms developed by other team members.
  • Enrolment in relevant undergraduate or post graduate course.
  • Desired:
  • Relevant experience delivering innovations and R&D projects.
  • Contributions to open-source projects related to qualitative data frameworks or pipelines.
  • Previous experience in geospatial data science.
  • Publications records in related topics.
  • We Wish You are:
  • A PhD student or candidate in Computing Science, Database, Programming Languages or other related programmes;
  • Have a strong academic background and programming skills, published paper on top conferences or journals in the related fields is preferred;
  • Be able to work minimum 3 month, 20 hours per week.

Responsibilities

  • Evaluating and assessment of alternative indoor positioning & navigation algorithms for smartphones & wearables.
  • Assisting in implementation of components to enrich data pipeline, working with Qualitative data, features engineering, data clustering, classification and dimensionality reduction.
  • Support the research team in building automated testing and evaluation reports for key technical components.
  • Contribute to the overall competence of Huawei’s research and development of positioning and radio-map construction.
  • Realize and procure innovations for the future development of positioning and navigation technologies.

FAQs

What is the main focus of the Indoor Positioning and Navigation System Research Internship at Huawei?

The main focus of the internship is to work as part of the Huawei positioning & navigation team, engaging in empirical computer science research and data-driven solution engineering to improve user experience on Huawei devices through algorithm development and prototyping.

Where is the internship located?

The internship is located at the Edinburgh Research Centre in Scotland.

What kind of work will interns be doing in this position?

Interns will be involved in algorithm developing, prototyping, and identifying opportunities to enhance the user experience of Huawei devices.

What skills or background might be beneficial for this internship?

A background in computer science, data analysis, and algorithm development, along with empirical research experience, would be beneficial for this internship role.

Is this internship focused more on research or practical application?

The internship encompasses both research and practical application, balancing empirical computer science research with data-driven solution engineering.

Will interns have the opportunity to contribute to real projects?

Yes, interns will be working on projects that seek to improve the user experience of Huawei devices, providing the opportunity to make meaningful contributions to real-world applications.

What is the expected outcome of the internship?

The expected outcome of the internship is the development of algorithms and prototypes that can potentially enhance indoor positioning and navigation capabilities in Huawei devices, ultimately improving the overall user experience.

Are there opportunities for mentorship or guidance during the internship?

While specifics may vary, interns can generally expect support and guidance from experienced team members as part of their training and development throughout the internship.

How does this internship role fit into Huawei's overall mission?

This internship role aligns with Huawei's mission to enhance technological experiences for users by innovating and improving their device functionalities, particularly through positioning and navigation systems.

What type of research methodologies might be used during the internship?

Interns may employ various empirical research methodologies, including data collection and analysis, algorithm testing, and prototype development to address the challenges and opportunities within indoor positioning and navigation.

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