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Indoor Positioning Research Intern

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Huawei

Oct 16, 2023

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Research & Development
    Software Engineering
  • 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.
  • Realise and procure innovations for the future development of positioning and navigation technologies.

FAQs

What is the primary focus of the Indoor Positioning Research Intern position?

The primary focus of the Indoor Positioning Research Intern position is to work as part of the Huawei positioning & navigation team, engaging in empirical computer science research and data-driven solution engineering to develop algorithms, prototype solutions, and enhance user experiences on Huawei devices.

Where is the internship located?

The internship is located at the Edinburgh Research Centre of Huawei.

What kind of team will the intern be working with?

The intern will be working as part of the Huawei positioning & navigation team, collaborating with researchers and engineers specialized in algorithm development and data solutions.

What kinds of tasks can the intern expect to perform?

The intern can expect to engage in tasks related to algorithm development, prototyping, and identifying opportunities for improving the user experience of Huawei devices.

What skills or knowledge might be beneficial for this internship?

Beneficial skills for this internship might include a background in computer science, experience with data analysis, knowledge of algorithms, and an interest in positioning and navigation technologies.

Is this internship focused on theoretical research or practical application?

This internship is focused on both theoretical research and practical application, as it involves empirical research combined with the engineering of data-driven solutions.

What opportunities for growth or learning does this internship provide?

This internship provides opportunities for growth and learning in algorithm development, exposure to innovative research practices, hands-on experience in a tech-driven environment, and collaboration with experienced professionals in the field.

Who is the employer for this internship?

The employer for this internship is Huawei, a global leader in technology and telecommunications.

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