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Indoor Positioning and Navigation System Research Internship

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Huawei

Apr 10

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

AI generated summary

  • You must have experience in RF signal processing, data regression, geomagnetic mapping, RF SLAM, machine learning, and smartphone indoor navigation. Strong programming skills in Java, Python, or C++ are required, along with academic qualifications in relevant fields.
  • You will evaluate positioning algorithms, assist with data pipeline enrichment, support testing efforts, and contribute to Huawei's indoor navigation technology research and development.

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.

Huawei

Welcome to the official Huawei LinkedIn account. We’re a leading global provider of ICT infrastructure and smart devices

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Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. Huawei's end-to-end portfolio of products, solutions and services are both competitive and secure. Through open collaboration with ecosystem partners, we create lasting value for our customers, working to empower people, enrich home life, and inspire innovation in organizations of all shapes and sizes. At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 180,000 employees, and we operate in more than 170 countries and regions. Founded in 1987, Huawei is a private company fully owned by its employees. House Rules This page is for ICT professionals with an interest in Huawei and our industry to engage in open discussions. To facilitate dialogue, please follow these rules: - Huawei holds the right to delete comments that are offensive, misleading, false, unlawful, off-topic and in violation of any regulations. - Repeated violations of any of the above will be removed and users may be blocked. - Huawei does not necessarily endorse the information shared by members. - Please be familiar with and follow LinkedIn's User Agreement. - By publicly uploading a photograph or comment, you give Huawei permission to feature your content. This will always be credited.